CN103735401A - Cardio-pulmonary resuscitation quality feedback control system based on pulse blood oxygen - Google Patents

Abstract

The application discloses a method and a system for performing cardio-pulmonary resuscitation quality feedback control based on pulse blood oxygen, and a corresponding pulse blood oxygen plug-in and medical equipment thereof. The cardio-pulmonary resuscitation quality feedback control system comprises a signal acquisition unit for acquiring blood oxygen signals of a tested person, a data processing unit for data conversion and data processing to obtain peripheral circulation related parameters, particularly peripheral circulation parameters related to cardio-pulmonary resuscitation, and an output unit for outputting relevant information of the peripheral circulation related parameters. The data processing unit converts the acquired blood oxygen signals into digital signals containing at least partial hemodynamic characteristics, and calculates characteristic peripheral circulation parameters reflecting the quality of cardiopulmonary resuscitation based on the digital signals, wherein the characteristic peripheral circulation parameters comprise frequency, amplitude related to the chest compression depth and area under a curve. The cardio-pulmonary resuscitation implementation quality can be fed back in a real-time, convenient and noninvasive mode by adopting the parameters.

Description

Cardio-pulmonary resuscitation quality feedback control system based on pulse blood oxygen

Technical Field

The application relates to the field of medical treatment, in particular to medical equipment, a plug-in unit, a cardio-pulmonary resuscitation quality feedback control method and a cardio-pulmonary resuscitation quality feedback control system for cardio-pulmonary resuscitation.

Background

Cardiovascular disease has become the leading cause of morbidity and mortality in humans, resulting in approximately 17,000,000 deaths worldwide each year, many of which are manifested as sudden cardiac death. Sudden cardiac death has become an important killer threatening human life and the most effective and straightforward medical procedure for this situation is cardiopulmonary resuscitation (hereinafter also referred to as CPR). CPR creates blood flow by either increasing intrathoracic pressure (chest pumping mechanism) or by directly compressing the heart (heart pumping mechanism) to deliver oxygen to the brain and other vital organs, thereby creating temporary artificial circulation.

The 2010 cardiopulmonary resuscitation guidelines emphasize: the key to the success of cardiopulmonary resuscitation is to perform high quality cardiopulmonary resuscitation early, with CPR compressions at a rate of at least 100 compressions per minute and at a depth of at least 5 centimeters, to achieve high quality cardiopulmonary resuscitation, with Cardiac Output (CO) reaching only 1/4 or 1/3 of normal cardiac output during high quality CPR. In clinical practice, manual compression or mechanical compression is usually adopted, but whether manual or mechanical equipment is adopted for chest compression, the compression frequency and the compression amplitude are often insufficient due to various reasons, and the resuscitation effect is poor, so that monitoring of the cardio-pulmonary resuscitation quality is particularly important in the cardiac resuscitation process. Although the guidelines suggest that end-tidal carbon dioxide and invasive blood pressure monitoring may be used to detect the quality of cardiopulmonary resuscitation, it is difficult to implement and popularize in actual clinical practice due to factors such as its invasiveness and the need for specialized medical equipment. The resuscitation quality monitoring feedback system which is convenient, noninvasive, economical, capable of reflecting the cardio-pulmonary resuscitation quality in real time and capable of being widely popularized and applied needs to be developed urgently.

Disclosure of Invention

The application provides a medical device, a plug-in unit, a cardio-pulmonary resuscitation quality feedback control method and a cardio-pulmonary resuscitation quality feedback control system for realizing cardio-pulmonary resuscitation implementation quality feedback in a non-invasive mode.

According to a first aspect of the present application, there is provided a medical device comprising:

the light emitting receiver comprises a receiving tube and a light emitting tube, wherein the light emitting tube emits at least one path of optical signal which penetrates through human tissues, and the receiving tube receives the at least one path of optical signal which penetrates through the human tissues and converts the at least one path of optical signal into at least one path of electric signal;

the digital processor is used for converting the electric signal into a digital signal and processing the digital signal to obtain peripheral circulation related parameters; wherein the digital signal comprises at least part of a hemodynamic characteristic;

and the output module is used for outputting the relevant information corresponding to the peripheral circulation related parameters.

According to a second aspect of the present application, there is also provided a medical device comprising:

the blood oxygen probe is used for detecting a detected part of a detected person and detecting a blood oxygen signal of the detected person in real time;

the blood oxygen module is coupled to the blood oxygen probe and used for acquiring blood oxygen signals output by the blood oxygen probe, generating pulse blood oxygen waveforms based on the blood oxygen signals, calculating peripheral circulation parameters related to the cardio-pulmonary resuscitation quality based on the pulse blood oxygen waveforms, and outputting related information of the parameters;

and the output module is coupled to the blood oxygen module and used for feeding back the information related to the peripheral circulation parameters related to the quality of the cardiopulmonary resuscitation, which is output by the blood oxygen module.

According to a third aspect of the present application, there is provided a medical device insert comprising:

a housing assembly;

the physiological signal acquisition interface is positioned on the outer surface of the shell component and is used for connecting the signal acquisition accessory;

the physiological signal processing module is positioned in the shell component and used for acquiring an acquired signal through a physiological signal acquisition interface, converting the acquired signal into a digital signal and calculating to obtain peripheral circulation related parameters based on the digital signal;

and the physiological signal processing module carries out information interaction with a host through the interactive interface.

According to a fourth aspect of the present application, there is provided a cardiopulmonary resuscitation quality feedback control method for processing one or more of at least two measured signals to calculate a peripheral circulation related parameter based on the measured signals; wherein the method comprises:

confirming a pulse signal according to the detected signal;

calculating the peripheral circulation-related parameter from the pulse signal, an

And displaying the peripheral circulation related parameters on a display interface.

According to a fifth aspect of the present application, there is also provided a cardiopulmonary resuscitation quality feedback control method, comprising:

processing one or more of the at least two measured signals to calculate a peripheral circulation-related parameter reflecting quality of cardiopulmonary resuscitation based on the measured signals;

wherein the peripheral circulation-related parameters reflecting quality of cardiopulmonary resuscitation comprise one or more of the following parameters: the system comprises a first reflecting parameter, a second reflecting parameter and a third reflecting parameter, wherein the first reflecting parameter is used for reflecting the frequency change characteristic of the cardio-pulmonary resuscitation compression, the second reflecting parameter is used for reflecting the depth change characteristic of the cardio-pulmonary resuscitation compression, and the third reflecting parameter is used for reflecting the comprehensive change characteristic of the frequency and the depth of the cardio-pulmonary resuscitation compression.

In an embodiment, the peripheral circulation related parameter (hereinafter also referred to as peripheral circulation parameter) comprises a parameter reflecting the quality of cardiopulmonary resuscitation, which further comprises a first, a second and a third reflecting parameter reflecting a frequency variation characteristic, a depth variation characteristic, and a combined variation characteristic of frequency and depth of cardiopulmonary resuscitation compressions, respectively.

In one embodiment, the peripheral circulation parameters related to cardiopulmonary resuscitation quality (hereinafter also referred to as pulse oximetry-based peripheral circulation parameters) include blood oxygen frequency characteristics of a pulse oximetry waveform and compression-generated peripheral circulation parameters including amplitude characteristics of the bolus pulse wave and/or area characteristics of the bolus pulse wave.

In one embodiment, the first reflection parameter is determined by frequency identification of a measured signal (e.g., a pulse oximetry waveform) containing at least a portion of the hemodynamic characteristic, the second reflection parameter is determined by amplitude variation of the measured signal (e.g., a pulse oximetry waveform) containing at least a portion of the hemodynamic characteristic, and the third reflection parameter is determined by area integration of the measured signal (e.g., a pulse oximetry waveform) containing at least a portion of the hemodynamic characteristic.

The application also provides an application of the medical equipment, the medical equipment plug-in or the medical equipment system in the feedback control process of the cardio-pulmonary resuscitation quality.

According to the embodiment of the application, the peripheral circulation related parameters are calculated based on the acquired signals containing at least part of the hemodynamic characteristics, and the cardiopulmonary resuscitation implementation quality including the compression depth and the compression frequency can be fed back in time by using the parameters; since the digital signal is acquired from the outside of the body, no trauma is caused to the patient, and therefore the cardio-pulmonary resuscitation implementation quality is fed back in a real-time, convenient and noninvasive manner. In addition, when the pulse oximetry waveform is used as the basis for calculating the peripheral circulation parameters, the raw data for calculating the blood oxygen saturation can be used, so that no additional feedback equipment is needed.

The pulse blood oxygen plug-in that can be used to quality feedback is implemented in cardiopulmonary resuscitation in this application embodiment can make independent pluggable module and bedside equipment and use together, and it is convenient to use.

Drawings

FIG. 1 is a flow chart illustrating a CPR quality feedback control according to an embodiment of the present application;

FIG. 2 is a schematic diagram of blood oxygen detection according to an embodiment of the present application;

FIG. 3 is a waveform diagram of an original blood oxygen signal;

FIG. 4 is a waveform diagram of a fluctuation component separated from a raw blood oxygen signal;

FIG. 5 is a diagram illustrating an embodiment of text display for feedback of pulse oximetry related peripheral cycle parameters;

FIG. 6 is a waveform diagram of an embodiment of an amplified blood oxygen signal;

FIG. 7 is a flow chart of an alternative embodiment of cardiopulmonary resuscitation quality feedback control;

FIG. 8a is a flow chart of an embodiment of feedback of peripheral circulation parameters based on pulse oximetry;

FIG. 8b is a flow chart of feedback of peripheral cycle parameters based on pulse oximetry in another embodiment;

FIG. 9a is a schematic diagram showing the area index distribution range and the waveform in a visualized manner in one embodiment;

FIG. 9b is a diagram illustrating a magnitude index waveform visually in one embodiment;

FIG. 10 is a waveform diagram of a fluctuation component in consideration of an interference factor in one embodiment;

FIG. 11 is a graph illustrating a spectral distribution of a blood oxygen signal obtained by a sampling frequency domain analysis method according to an embodiment;

FIG. 12 is a schematic diagram of an exemplary CPR quality feedback control system;

FIG. 13 is a schematic diagram of a CPR quality feedback control system in accordance with another embodiment;

FIG. 14 is a schematic view of a medical device according to an embodiment;

FIG. 15 is a diagram illustrating an exemplary pulse oximetry plug-in;

FIG. 16 is a block diagram of an embodiment of an oximetry module;

FIG. 17 is a display interface in the presence of spontaneous circulation;

FIG. 18 is a display interface for a case where spontaneous circulation disappears;

FIG. 19 is a display interface during low quality cardiopulmonary resuscitation;

FIG. 20 is a display interface during mid-quality cardiopulmonary resuscitation;

fig. 21 is a display interface during high quality cardiopulmonary resuscitation.

Detailed Description

The present invention will be described in further detail with reference to the following detailed description and accompanying drawings.

The present invention proposes a medical device, a method and an insert for feedback control of the quality of cardiopulmonary resuscitation based on a signal comprising at least part of a hemodynamic characteristic. The signal comprising at least part of the hemodynamic characteristics referred to herein may be converted by acquiring a signal of the change of absorbed light transmitted through the body tissue, the converted signal comprising at least part of the pulse characteristics of the body tissue, such as a pulse oximetry waveform as described in more detail below. The temporal pulse characteristics of the signal can be identified by identifying the constant and fluctuating components of the signal, while the peripheral circulation-related parameters, which reflect the quality of cardiopulmonary resuscitation, are derived based on the separated fluctuating component, or the ratio of the fluctuating component to the constant component.

The principle of blood oxygen saturation measurement comprises two parts of spectrophotometry and blood plethysmography. The spectrophotometric measurement is carried out by using 660nm red light and 940nm infrared light, based on oxyhemoglobin (HbO)₂) The absorption amount of the red light at 660nm is less, and the absorption amount of the infrared light at 940nm is more; the converse is true for hemoglobin (Hb). When measuring the blood oxygen saturation, respectively irradiating the biological tissue with red light and infrared light, detecting the red light and infrared light penetrating the biological tissue with a photodetector from the other side of the biological tissue, outputting corresponding electrical signals, and calculatingThe ratio of the amount of absorbed infrared light to the amount of absorbed red light allows the determination of the degree of oxygenation of hemoglobin, i.e., the blood oxygen saturation (SaO)₂）。

Another important principle of pulse oximetry is the necessity of blood perfusion. The degree of attenuation of the transmitted light energy is detected in relation to the cardiac cycle when peripheral tissue is transilluminated with the light beam. When the heart contracts, the peripheral blood volume is the largest, the light absorption amount is also the largest, and the detected light energy is the smallest; the opposite is true at diastole. The change in the amount of light absorption reflects the change in the blood volume. Only the blood volume can be changed to change the intensity of the transillumination energy. When 660nm and 940nm light penetrates through biological tissues, HbO₂Hb absorbs light very differently, and the absorption at each wavelength is a function of skin color, skin composition, tissue, tendons, blood, and all other tissues passing through the optical path. The absorption can be regarded as the sum of pulsatile absorption and non-pulsatile absorption. The AC component AC part is caused by pulsating arterial blood, and the DC component DC part is constantly absorbed by non-pulsating arterial blood, venous blood, tissue, and the like. Perfusion Index (PI) is the percentage of AC to DC (PI = AC/DC × 100%). The alternating current component and the direct current component are described below as a ripple component and a constant component, respectively.

The pulse oximetry waveform is originally used for calculating the blood oxygen saturation, and the pulse oximetry waveform refers to series of data formed by collecting electrical signals of red light or infrared light penetrating through biological tissues in real time, and generally, the data includes a sampling value and time information. Based on the detected red light and infrared light transmission signals, a red light pulse blood oxygen waveform and an infrared light pulse blood oxygen waveform can be obtained, and a waveform of blood oxygen saturation can be calculated based on the two pulse blood oxygen waveforms. In clinical studies, the inventor finds that the pulse oximetry waveform also has a certain correlation with the quality of cardiopulmonary resuscitation. However, how to use the pulse oximetry waveform to feed back the quality of cardiopulmonary resuscitation is a problem that must be solved.

The inventor finds that the amplitude and the area under the curve of the pulse blood oxygen waveform have correlation with the hemodynamic indexes of the tested person, such as Cardiac Output (CO), peripheral tissue perfusion and the like through a great deal of research. Further research shows that the peripheral circulation state can be reflected by the pulse blood oxygen amplitude and the area under the curve, and the frequency of the blood oxygen saturation waveform can reflect the frequency of chest compression; during cardiopulmonary resuscitation, the state of the peripheral circulation depends on the quality of the artificial circulation, which in turn depends on the depth and frequency of chest compressions. Thus, the inventor proposes a theory for feeding back and controlling the quality of cardiopulmonary resuscitation based on the pulse blood oxygen wave.

The first embodiment is as follows:

in view of the above, the present application provides a method for controlling feedback of quality of cardiopulmonary resuscitation, which calculates a peripheral circulation parameter related to the quality of cardiopulmonary resuscitation based on a pulse oximetry waveform, and feeds back the quality of cardiopulmonary resuscitation using the calculated peripheral circulation parameter related to the quality of cardiopulmonary resuscitation. The peripheral circulation parameters related to the quality of the cardiopulmonary resuscitation include a parameter for feeding back the compression frequency during the cardiopulmonary resuscitation and a parameter for feeding back the compression depth during the cardiopulmonary resuscitation, in the embodiment, the blood oxygen frequency characteristic of the pulse blood oxygen waveform is used for feeding back the compression frequency during the cardiopulmonary resuscitation, and the amplitude characteristic and/or the area characteristic of the pulse blood oxygen waveform are used for feeding back the compression depth during the cardiopulmonary resuscitation.

From the digital signal processing point of view, there are two data processing methods: time domain analysis and frequency domain analysis. In a specific example of the present embodiment, the time domain analysis method is used to process data, and a flow of the cardiopulmonary resuscitation quality feedback control method is shown in fig. 1, and includes the following steps:

step 11, detecting physiological signals such as blood oxygen signals. When the cardiopulmonary resuscitation is performed on the testee, the blood oxygen probe is adopted to detect the tested part of the testee in the cardiopulmonary resuscitation process, and the blood oxygen signal of the testee is detected in real time. Because the blood oxygen frequency characteristic, the amplitude characteristic and the area characteristic of the pulse blood oxygen waveform involved in the feedback cardiopulmonary resuscitation implementation quality process in the embodiment of the application do not need the ratio of red light and infrared light transmission signals, any one of the red light pulse blood oxygen waveform and the infrared light pulse blood oxygen waveform can be adopted, and for convenience of explanation, the adopted one is called the pulse blood oxygen waveform. As shown in FIG. 2, in one embodiment, a light emitting device 100 is installed on one side of the blood oxygen probe, the light emitting device 100 may be a red light or infrared light emitting tube, or may include two light emitting tubes, a red light and an infrared light emitting tube, and a photodetector 101 is installed on the other side to convert the detected red light or infrared light transmitted through the blood vessel of the finger artery into an electrical signal.

And 12, generating a pulse blood oxygen waveform based on the acquired blood oxygen signals. Since the absorption coefficient of skin, muscle, fat, venous blood, pigment, bone, etc. to red light or infrared light is constant, only HbO in arterial blood flow is present₂And the Hb concentration changes periodically along with the artery of the blood, so that the signal intensity output by the photoelectric detector changes periodically, and the original pulse blood oxygen waveform can be obtained by processing (such as amplification and/or filtering) the periodically changed electric signals.

Step 13, separating the constant component and the fluctuation component from the pulse oximetry waveform. As shown in fig. 3, the original signal contains a fluctuating component S_ACAnd a constant component S_DC. In general, the constant component S is caused by the movement of limbs and interference of background light_DCThe phenomenon of drift appears over time, i.e. the value is not constant and fluctuates over time. The alternating current component is related to the amount of the pulsating blood, when the blood flow is weakest, the amount of the absorbed light of the blood is minimum, the transmission signal is strongest, the alternating current signal is maximum, when the blood is full, the amount of the absorbed light of the blood is maximum, the transmission signal is weakest, and the alternating current signal is minimum; the direct current component is a non-pulsating transmission quantity such as a musculoskeletal component, and the constant component is a minimum value of the signal. Using known techniques, for example: filtering out constant component S in original signal by mean technique, smooth filtering technique, FIR/IIR filtering technique or curve fitting technique_DCObtaining the fluctuation component S of interest in the present application_AC. The waveform diagram of the separated wave component is shown in fig. 4.

Step 14, blood oxygen based on pulseThe fluctuation component of the waveform calculates the blood oxygen frequency characteristic of the pulse blood oxygen waveform. As deduced from the foregoing principle, the fluctuation component S_ACIn relation to blood flow, the frequency coincides with the frequency of CPR compressions, which is formulated as:

$F_{\mathrm{CPR}}=f_{S_{\mathrm{AC}}}---\left(1\right)$

wherein, F_CPRIs the frequency of the CPR compressions,

as a fluctuating component S_ACIn hertz (Hz).

Wave component S_ACIs multiplied by 60, which is the blood oxygen frequency characteristic, i.e. the number of CPR minute compressions. The formula is as follows:

${\mathrm{Deg}}_{\mathrm{CPR}}=F_{\mathrm{CPR}}*60=f_{S_{\mathrm{AC}}}*60---\left(2\right)$

wherein, Deg_CPRCPR compressions per minute.

In this step, the blood oxygen frequency characteristic of the pulse blood oxygen waveform is calculated based on the fluctuation component, and in another embodiment, the blood oxygen frequency characteristic may also be calculated based on the original pulse blood oxygen waveform, so the execution sequence of this step may also be exchanged with that of step 13.

And step 15, calculating a peripheral circulation parameter generated by the compression based on the pulse oximetry waveform fluctuation component, wherein in a specific example, the peripheral circulation parameter generated by the compression is an amplitude characteristic of the single pulse wave. Since the pulse oximetry waveform exhibits periodic fluctuations, the pulse oximetry waveform is defined as a single pulse wave from trough to peak in the present embodiment. For the fluctuating component S in this step_ACThe absolute amplitude value of the single pulse wave is calculated to evaluate the compression depth change in the CPR implementation process. The amplitude values can be calculated using well known techniques, such as: the absolute amplitude value of each single pulse wave in the fluctuation component is extracted by methods such as a maximum amplitude selection method (max amplitude), an average amplitude selection method (averageamplitude), or a root mean square method (root mean square). In the embodiment, the root mean square method is adopted to extract S_ACAbsolute amplitude value Amp of each one-time pulse wave of the fluctuation component_CPR. The formula is as follows:

<math> <mrow> <msub> <mi>Amp</mi> <mi>CPR</mi> </msub> <mo>=</mo> <msqrt> <mfrac> <mrow> <munderover> <mi>&Sigma;</mi> <mrow> <mi>n</mi> <mo>=</mo> <mn>0</mn> </mrow> <mrow> <mi>N</mi> <mo>-</mo> <mn>1</mn> </mrow> </munderover> <msubsup> <mi>S</mi> <mi>AC</mi> <mn>2</mn> </msubsup> <mrow> <mo>(</mo> <mi>n</mi> <mo>)</mo> </mrow> </mrow> <mi>N</mi> </mfrac> </msqrt> <mo>-</mo> <mo>-</mo> <mo>-</mo> <mrow> <mo>(</mo> <mn>3</mn> <mo>)</mo> </mrow> </mrow> </math>

wherein S is_ACAnd (N) is the nth sampling data point of the single pulse wave, and N is the total length of the single pulse wave data, namely the total sampling points of the single pulse wave. Amp_CPRIs the absolute amplitude value of the single pulse wave, which can reflect the state of depth change during CPR compression. Typically, the sampled data are voltage values, and thus an absolute amplitude value Amp may be defined_CPRThe unit of (A) is: PVA (pulse oxygen volume Amplified).

In another embodiment, the peripheral circulation parameter associated with hemodynamic effects produced by compression may also be an area characteristic of a single pulse wave. For the fluctuating component S in this step_ACThe absolute area value of the single pulse wave is calculated to evaluate the change of the cardiac output per stroke in the CPR implementation process. The absolute area value of the single pulse wave can be calculated by using the known technology, such as: the area integration method and the like can be applied to continuous signals and discrete signals. In this embodiment, based on the characteristic of the blood oxygen technology that the sampling frequency is fixed, the absolute area parameter is calculated by a point-by-point accumulation integration method. The formula is as follows:

<math> <mrow> <msub> <mi>Area</mi> <mi>CPR</mi> </msub> <mo>=</mo> <munderover> <mi>&Sigma;</mi> <mrow> <mi>n</mi> <mo>=</mo> <mn>0</mn> </mrow> <mrow> <mi>N</mi> <mo>-</mo> <mn>1</mn> </mrow> </munderover> <msub> <mi>S</mi> <mi>AC</mi> </msub> <mrow> <mo>(</mo> <mi>n</mi> <mo>)</mo> </mrow> <mo>-</mo> <mo>-</mo> <mo>-</mo> <mrow> <mo>(</mo> <mn>4</mn> <mo>)</mo> </mrow> </mrow> </math>

wherein S is_AC(N) is the nth sampled data point of the single pulse wave, and N is the total length of the single pulse wave data, i.e.The total number of sampling points of the single pulse wave. Area_CPRIs the absolute area value of single pulse wave, which can indirectly reflect the change state of the stroke cardiac output during the CPR compression. Typically, the sampled data is a voltage value, and thus an absolute Area value Area may be defined_CPRThe unit of (A) is: pvpg (pulse oxygen voltage piezoelectric spectroscopy), also known as voltage volume.

It will be understood by those skilled in the art that the peripheral circulation parameters based on pulse oximetry may also include both amplitude and area characteristics, all calculated in this step.

And step 16, feeding back the peripheral circulation parameters based on the pulse blood oxygen related to the quality of the cardiopulmonary resuscitation. The feedback mode may be a video or/and audio prompt, for example, to directly play the calculated parameter value, or to compare the parameter with the judgment standard to obtain a result indicating whether the parameter meets the requirement, and then to play the result.

The feedback mode can also adopt a text display mode. As shown in fig. 5, the blood oxygen frequency characteristic, the single amplitude and the single area are displayed.

For the blood oxygen frequency characteristic, the guideline requires that the pressing frequency is more than or equal to 100 times/minute, and the pressing frequency quality can be considered to reach the standard (the index can be corrected according to a large amount of clinical practical application data). In the clinical CPR application process, medical staff can judge whether the CPR compression frequency reaches the standard or is stable by observing the blood oxygen frequency characteristic value or the stability of the pulse rate parameter on the display interface, and adjust the CPR compression frequency on the premise of meeting the guideline requirement. Thereby achieving the purpose of adopting the blood oxygen frequency characteristic to feed back and control the CPR compression frequency.

For the amplitude characteristic, it feeds back the compression depth. In general clinical practice, according to the requirements of guidelines, the compression depth can be considered to reach the standard basically when the compression depth is more than or equal to 5cm (the index can be corrected according to a large amount of clinical practical application data). Theoretically, Amp_CPRExhibits a linear correlation with the depth of compression when pressedWhen the pressure depth is stabilized, Amp_CPRThe parameter values are stable and have small fluctuation. During clinical CPR applications, initial phase compressions may be unstable, at which point Amp may occur_CPRThe index value is unstable, namely the value has large fluctuation; amp with stabilized compression depth_CPRThe index value is relatively stable, i.e., the value remains within a small fluctuation range, at which time the CPR compression depth is deemed to be met.

For area characteristics, it is an indirect reflection of stroke cardiac output and is not directly equivalent to stroke cardiac output. Theoretically Area_CPRHas the characteristic of linear positive correlation with the cardiac ejection volume of each compression, and when the compression depth is stable and the frequency is constant, Area_CPRThe parameter values are stable and have small fluctuation. During clinical CPR applications, the initial phase compression depth and frequency may be erratic, with areas output_CPRThe index value also has the characteristic of larger fluctuation, namely, the numerical jump range is larger. Area when the compression depth and frequency are stable_CPRThe index value exhibits a relatively stable characteristic in which the range of variation of the value is concentrated in a small fluctuation range. In this case, the CPR administration effect is considered to be stable.

In addition, the inventors have noted that there is a maximum output limit for the stroke cardiac output for different patients, and when the compression is to a certain extent, if increasing the depth and frequency does not improve the stroke cardiac output, the compression maximum cardiac output for that patient can be considered to be reached. According to this characteristic, when Area_CPRIn a relatively steady state, the depth and frequency are fine-tuned while observing the Area_CPRChange in parameter index if Area_CPRThe value of the parameter has reached a maximum (e.g. Area)_CPRThe parameter value fluctuates within the range of less than or equal to 10% or 5%, or Area_CPRThe parameter value no longer increases with increasing compression depth), it may be considered that an optimal compression state for the cardiac output per stroke is found. The judgment standard of the maximum value is an engineering parameter and can be adjusted according to the actual clinical effect.

Theoretical analysis shows that after the cardiopulmonary function of a human body stops, various physiological differences of the human body are reduced, at the moment, the human body environment can be approximately considered to be basically consistent, and CPR manual intervention has relatively stable compression depth and compression frequency, so that a theoretical basis is provided for establishing CPR measurement indexes. The CPR compression depth and frequency will cause the change of cardiac output, the compression depth affects the stroke volume, and the change of the stroke cardiac output is indirectly reflected as the single area change of the blood oxygen pulse wave and the amplitude change of the single blood oxygen pulse wave; the components with fixed absorption amounts, such as blood, bones of fingers, and tissues, are partially retained, and are indirectly reflected as direct current components of the single pulse signal of the blood oxygen pulse wave. The amplitude and/or area characteristics of the single pulse wave may thus be used to feedback the quality of the cardiopulmonary resuscitation administration.

Example two:

in the first embodiment, absolute amplitude value Amp is adopted_CPRAnd/or the absolute Area value Area_CPRThe CPR administration effect is measured from the perspective of the absolute amount of the signal, and whether the CPR administration reaches the optimal state can be judged according to the trend change of the parameter values and the stability of the parameter values. But absolute amplitude value Amp_CPRAnd absolute Area value Area_CPRThe analysis is performed from the perspective of the absolute amount of the signal, the parameter value of which is affected by the variation of the driving current of the blood oxygen module, and the parameter value cannot be quantified for other people (i.e. the parameter value of each person is inconsistent). In addition, according to the characteristics of the blood oxygen system, in order to ensure that the blood oxygen sampling signal falls within the measurable range, the signal state needs to be amplified or reduced, that is, the acquired blood oxygen signal is amplified or reduced, and a pulse blood oxygen waveform is generated according to the blood oxygen signal after the amplification/reduction, for example, the driving current is adjusted. While variations in the drive current result in a proportional variation of the fluctuating and constant components of the signal.

In this embodiment, the blood oxygen signal is amplified, as shown in fig. 6, the range of measurement range is: 0-5V, the solid line signal 601 is in the lower range and drive adjustments are needed to bring the signal within a reasonable measurement range. For example, after twice driving adjustment, as shown by the dashed signal 602 in the figure, the signal is at the middle of the range, and after adjustment, the original fluctuation component AC1 is adjusted to AC2, and the constant component DC1 is adjusted to DC 2. From the driving characteristics: AC2= AC1 × 2, DC2= DC1 × 2. In this case, the flow of the cardiopulmonary resuscitation quality feedback control method of this embodiment is shown in fig. 7, and includes the following steps:

step 21, detecting the blood oxygen signal of the tested person. The detection method is the same as that in step 11.

Step 22, amplifying the collected blood oxygen signal.

And step 23, generating a pulse blood oxygen waveform based on the amplified blood oxygen signal.

Step 24, separating the constant component and the fluctuating component from the pulse oximetry waveform.

And 25, calculating the blood oxygen frequency characteristic of the pulse blood oxygen waveform based on the pulse blood oxygen waveform or the fluctuation component thereof. The calculation is the same as step 14.

And 26, calculating peripheral circulation parameters generated by compression based on the pulse oximetry waveform fluctuation component. The peripheral circulation parameters generated by the compressions include amplitude characteristics and/or area characteristics of the single pulse wave. In this step, in addition to calculating the absolute amplitude value and/or the absolute area value of the single pulse wave, the amplitude index and/or the area index of the single pulse wave are also calculated.

The amplitude index of the single pulse wave is the ratio of the absolute amplitude value of the single pulse wave to the corresponding direct current quantity, and the calculation formula is as follows:

<math> <mrow> <msub> <mi>AmpIndex</mi> <mi>CPR</mi> </msub> <mo>=</mo> <mfrac> <msqrt> <mfrac> <mrow> <munderover> <mi>&Sigma;</mi> <mrow> <mi>n</mi> <mo>=</mo> <mn>0</mn> </mrow> <mrow> <mi>N</mi> <mo>-</mo> <mn>1</mn> </mrow> </munderover> <msubsup> <mi>S</mi> <mi>AC</mi> <mn>2</mn> </msubsup> <mrow> <mo>(</mo> <mi>n</mi> <mo>)</mo> </mrow> </mrow> <mi>N</mi> </mfrac> </msqrt> <mrow> <mrow> <mo>(</mo> <munderover> <mi>&Sigma;</mi> <mrow> <mi>n</mi> <mo>=</mo> <mn>0</mn> </mrow> <mrow> <mi>N</mi> <mo>-</mo> <mn>1</mn> </mrow> </munderover> <msub> <mi>S</mi> <mi>DC</mi> </msub> <mrow> <mo>(</mo> <mi>n</mi> <mo>)</mo> </mrow> <mo>)</mo> </mrow> <mo>/</mo> <mi>N</mi> </mrow> </mfrac> <mo>-</mo> <mo>-</mo> <mo>-</mo> <mrow> <mo>(</mo> <mn>5</mn> <mo>)</mo> </mrow> </mrow> </math>

wherein S is_DC(N) is the nth sampling data point of the DC component, N is the sampling times, AmpIndex_CPRIs an index of the amplitude of the single pulse wave. Typically, the sampled data is a voltage value, and thus an amplitude index AmpIndex can be defined_CPRThe unit of (A) is: PVAI (pulse oxidator Votage Amplitude index).

AmpIndex_CPRThe method eliminates the influence of driving adjustment factors on the amplitude for quantizing parameters, can visually reflect the transformation characteristic of the pressing depth, can eliminate the interference of driving adjustment, and has better anti-interference capability.

The area index of the single pulse wave is the ratio of the absolute area value of the single pulse wave to the corresponding direct current quantity, and the calculation formula is as follows:

<math> <mrow> <msub> <mi>AreaIndex</mi> <mi>CPR</mi> </msub> <mo>=</mo> <mfrac> <msub> <mi>Area</mi> <mi>CPR</mi> </msub> <mrow> <mrow> <mo>(</mo> <munderover> <mi>&Sigma;</mi> <mrow> <mi>n</mi> <mo>=</mo> <mn>0</mn> </mrow> <mrow> <mi>N</mi> <mo>-</mo> <mn>1</mn> </mrow> </munderover> <msub> <mi>S</mi> <mi>DC</mi> </msub> <mrow> <mo>(</mo> <mi>n</mi> <mo>)</mo> </mrow> <mo>)</mo> </mrow> <mo>/</mo> <mi>N</mi> </mrow> </mfrac> <mo>=</mo> <mfrac> <mrow> <munderover> <mi>&Sigma;</mi> <mrow> <mi>n</mi> <mo>=</mo> <mn>0</mn> </mrow> <mrow> <mi>N</mi> <mo>-</mo> <mn>1</mn> </mrow> </munderover> <msub> <mi>S</mi> <mi>AC</mi> </msub> <mrow> <mo>(</mo> <mi>n</mi> <mo>)</mo> </mrow> </mrow> <mrow> <mrow> <mo>(</mo> <munderover> <mi>&Sigma;</mi> <mrow> <mi>n</mi> <mo>=</mo> <mn>0</mn> </mrow> <mrow> <mi>N</mi> <mo>-</mo> <mn>1</mn> </mrow> </munderover> <msub> <mi>S</mi> <mi>DC</mi> </msub> <mrow> <mo>(</mo> <mi>n</mi> <mo>)</mo> </mrow> <mo>)</mo> </mrow> <mo>/</mo> <mi>N</mi> </mrow> </mfrac> <mo>-</mo> <mo>-</mo> <mo>-</mo> <mrow> <mo>(</mo> <mn>6</mn> <mo>)</mo> </mrow> </mrow> </math>

among them, AreaIndex_CPRIs the area index of single pulse wave. Typically, the sampled data is a voltage value, and thus an area index AreaIndex can be defined_CPRThe unit of (A) is: PVPI (pulse oxygen transducer Voltage piezoelectric index), also known as Voltage volume index.

Area index AreaIndex_CPRThe individual difference can be reduced, and meanwhile, the interference of driving adjustment is eliminated, so that the device has better anti-interference capability.

And step 27, feeding back peripheral circulation parameters related to the quality of the cardiopulmonary resuscitation and based on pulse blood oxygen.

The peripheral circulation parameter based on pulse blood oxygen can be fed back by the same scheme as in the first embodiment, and the peripheral circulation parameter based on pulse blood oxygen can also be fed back by the following scheme.

The amplitude characteristic was found to be related to compression depth, the area characteristic to compression depth and frequency, and the guidelines had certain requirements on compression depth and frequency that, when met, were called essentially satisfactory quality for cardiopulmonary resuscitation. If the amplitude characteristic mapping value and the area characteristic mapping value corresponding to the basic scalar value required in the guideline are found, the amplitude characteristic and the area characteristic can be directly compared with the mapping values, and whether the quality of the cardiopulmonary resuscitation basically reaches the standard or not is judged. And the mapped value constitutes a distribution range limit of the amplitude characteristic or the area characteristic.

The area index in the area characteristic is shown below_CPRBy way of example, the area index AreaIndex_CPRWhether the cardio-pulmonary resuscitation quality reaches the standard is fed back by whether the cardio-pulmonary resuscitation quality enters a distribution range or not, and the cardio-pulmonary resuscitation quality reaches the standard basically through an area index AreaIndex_CPRThe fluctuation of the cardiopulmonary resuscitation is used for feeding back whether the quality of the cardiopulmonary resuscitation reaches the standard or not, and the feedback process is as shown in figure 8The method comprises the following steps:

step 30, obtaining area index AreaIndex_CPRIs determined in relation to the quality of the cardiopulmonary resuscitation implementation required, to determine the AreaIndex_CPRDistribution range of the index, the distribution range characterizing the AreaIndex_CPRWhen the index is in the range, the CPR implementation effect is ideal or acceptable, and the CPR implementation effect is considered to reach the standard basically. The distribution range limit may be entered each time cardiopulmonary resuscitation is performed, or may be pre-stored in the system and read from a memory address each time cardiopulmonary resuscitation is performed.

In normal population, the population distribution range of the stroke cardiac output is 4.8-8L/min. After the cardiopulmonary function of the human body stops, the human body environment can be considered to be relatively consistent. At this point, CPR cardiopulmonary resuscitation is performed to achieve 1/3-1/4 of normal stroke cardiac output. By animal experiments and human experiments, the AreaIndex which is the distribution range of the cardiac output per stroke is combined_CPRThe index has a theoretical value of population distribution range. Areaindex can be determined from a large number of CPR case acquisitions_CPRTheoretical distribution range of the index.

Step 31, calculating the obtained single area index AreaIndex_CPRProcessing to generate single area index AreaIndex_CPRWaveform data of (1), area index per unit_CPRIs displayed on a display interface and is in area index AreaInex_CPRShows the distribution range boundary on the waveform diagram, thereby visually showing the area index AreaIndex_CPRDistribution range and area index AreaIndex_CPRThe waveform of (2) is as shown in FIG. 9. Area index AreaIndex_CPRIs determined by a maximum value Max and a minimum value Min.

Step 32, area index of single time_CPRComparing with the minimum Min, judging whether the standard is basically reached, if the single area index AreaIndex is reached_CPRIf the minimum value Min is larger than the minimum value Min, the standard is basically reached, the step 33 is executed, otherwise, the single area index AreaIndex is continuously carried out_CPRAnd the minimum value Min.

Step 33, calculate area index AreaIndex_CPRThe fluctuation value of (2). One of the calculation methods may be: calculating the area index AreaIndex of two adjacent single pulse waves_CPRTo obtain the area index AreaIndex_CPRThe fluctuation value of (2).

Step 34, judging the area index AreaIndex_CPRIs less than a second set value, and if so, the area index AreaIndex is considered_CPRIf the value of (c) is stable, step 35 is executed; otherwise, the area index AreaIndex is considered_CPR Step 36 is performed if the value of (c) is not stable.

Step 35, area index AreaIndex_CPRWhen the fluctuation value of the first prompt information is less than a first set value, the first prompt information is used for prompting the user that the current pressing quality reaches the standard, and the first prompt information can prompt the user that the current area index of the user reaches the standard_CPROr prompt the user that the current cardiac output per stroke is stable, or prompt the user that the current compression quality (such as indexes including compression frequency and compression depth) reaches the standard.

Step 36, area index AreaIndex_CPRWhen the fluctuation value is not less than the second set value, outputting prompt information for prompting the user that the current pressing quality does not reach the standard, or not outputting the information.

In actual CPR applications, the healthcare worker may follow the AreaIndex_CPRAnd (3) adjusting the compression depth and frequency according to the index (reasonable area interval under the blood oxygen waveform) on the premise of meeting the guideline requirement so as to ensure that the CPR implementation effect enters an acceptable range. For human subjects, stroke cardiac output reaches a maximum value as CPR progresses, and on this basis, no improvement in stroke cardiac output occurs regardless of how the compression depth and frequency are improved. Based on the basic principle, in order to achieve the optimization of CPR implementation effect, medical staff can ensure that the CPR implementation quantitative index meets the theoretical range and can simultaneously carry out compression depth and compression frequencyFine tuning was performed to look for AreaIndex_CPRMaximum value of the parameter, and simultaneously judging AreaIndex_CPRWhether the parameters are changed or maintained significantly to achieve optimal CPR administration. For example, adjusting depth and frequency, AreaIndex_CPRNo significant change in the parameters indicates that CPR has achieved optimal results.

Thus, to determine whether the quality of cardiopulmonary resuscitation is optimal, for a cardiopulmonary resuscitator that automatically adjusts compressions, the area index AreaIndex is used in step 35_CPRAnd when the fluctuation value of (2) is less than the second set value, third result information can be output. Step 37 is also performed after step 35.

Based on the third result information, the fine adjustment of the compression depth is controlled, e.g. the compression depth is controlled to be slightly increased, step 37.

Step 38, calculating the area index AreaIndex after increasing the pressing depth_CPRJudgment of area index AreaIndex_CPRWhether or not the maximum value is reached, for example, the area index after increasing the pressing depth is determined_CPRWhether to increase with increasing compression depth, and if so, the current area index AreaIndex is considered_CPRHas not yet reached a maximum value if the area index AreaIndex_CPRWithout increasing with increasing compression depth, the current area index AreaIndex is considered_CPRA maximum value is reached. When the current area characteristic is the maximum value, step 39a is performed, and when the current area characteristic is not the maximum value, step 39b is performed.

And 39a, outputting fifth result information, wherein the fifth result information is used for controlling the cardiopulmonary resuscitation instrument to keep the current compression depth, and also outputting third prompt information, and the third prompt information is used for prompting the tested person to currently reach the optimal compression state of the stroke cardiac output.

And 39b, outputting fourth result information, wherein the fourth result information is used for controlling the cardio-pulmonary resuscitation apparatus to increase the compression depth properly.

In addition, if the fluctuation value of the area characteristic is judged to be smaller than the second set value but the area characteristic does not enter the area distribution range limit, second result information is output, and the cardio-pulmonary resuscitation instrument is controlled to increase the compression depth based on the second result information.

To observe the area index AreaIndex more intuitively_CPRThe waveform of (2) may also be marked on the waveform, for example, in fig. 9a, the ascending section 201, the stable section 202, the unstable section 203 and the fine tuning section 204 are divided into sections. In judging area index AreaIndex_CPRWhether the value of (A) is stable or not can be determined by adopting a sliding time window manner, and measuring the fluctuation specificity of the index parameter value in the time window 205, for example, determining the area index AreaIndex in the sliding time window 205_CPRWhether it is stable. The ascending segment 201 in the figure demonstrates the area index AreaIndex at the time of initial compression_CPRThe rapidly changing unstable phase, the stable segment 202 demonstrates a state of good CPR quality and the unstable segment 203 demonstrates a state of relatively poor CPR quality. In situations where CPR is relatively stable, the compression depth can also be fine-tuned to find an individualized maximum cardiac output point. In the fine tuning section 204, area index AreaIndex_CPREnters a plateau, at which the compression depth is fine-tuned, for example from 5cm at point a to 6cm at point B. It can be found that the effect of the A and B on the parameter index is basically consistent, so that the maximum cardiac output point is reached by pressing 5 cm. The medical staff can judge whether the optimal pressing state of the cardiac output per stroke is achieved through the visual diagram. In addition, the system can also remind medical care personnel by outputting prompt information, for example, when the current area characteristic is judged to be the maximum value, the current pressing depth is kept and third prompt information is output, and the third prompt information is used for prompting the user that the tested person currently achieves the optimal pressing state of the cardiac output per stroke.

For the amplitude characteristic, the feedback processing scheme described in steps 30-39 may also be employed. That is, a mapping value of the amplitude characteristic corresponding to the "compression depth ≧ 5 cm" is found, which constitutes the amplitude distribution range limit. Displaying a oscillogram of the amplitude characteristic on a display interface, displaying an amplitude distribution range limit related to a heart compression depth standard reaching value on the oscillogram of the amplitude characteristic, displaying the distribution range of the amplitude characteristic in a visual mode, and judging whether the compression depth basically reaches the standard by observing whether the amplitude characteristic is positioned in the amplitude distribution range limit.

In a preferred embodiment, as shown in fig. 8b, the fluctuation value of the amplitude characteristic may be calculated according to the amplitude characteristic of each single pulse wave, and it is determined whether the fluctuation value of the amplitude characteristic is smaller than a first set value and whether the amplitude characteristic is within the range limit of the amplitude distribution, if so, a first prompt message for prompting the user that the current compression depth reaches the standard is output. If the fluctuation value of the amplitude characteristic is less than the first set value but the amplitude characteristic does not come within the limits of the amplitude distribution range, first result information is output, and the cardio-pulmonary resuscitation apparatus is controlled to increase the compression depth based on the first result information.

In order to more intuitively observe the waveform diagram of the amplitude index, each wave band can be marked on the waveform diagram, for example, the ascending segment 301, the unstable segment 302, the stable segment 303 and the alarm segment 304 are distinguished in a partitioning manner in fig. 9 b. As demonstrated in fig. 9b, a sliding time window 305 is established, measuring the fluctuation specificity of the index parameter value within the time window. The rising segment 301 in the figure demonstrates the rapid change in the index parameter at the initial compression. If the fluctuation is large, as shown by the unstable segment 302, the compression depth is not stable, and it is indicated that the compression state should be adjusted. If the graph stability segment 303 indicates that the index parameter value is stable, and the difference is not more than ± 5% (± 5%, which means the ratio of the fluctuation difference value to the average value in the time window, and can be adjusted by itself according to the actual requirement), the compression depth can be considered to be stable. According to the guideline requirements, the compression depth must meet the requirement of more than or equal to 5 cm. If the average state of the compression depth within the sliding time window is lower than the corresponding limit of 5cm, an alarm segment 304 is displayed to prompt that the compression depth needs to be increased.

The feedback scheme of the embodiment is more intuitive, so that medical personnel can know the implementation quality of the cardiopulmonary resuscitation more easily.

Example three:

the difference between this embodiment and the above embodiments is that the data is processed by frequency domain analysis.

During CPR resuscitation, there are a number of disturbing factors, such as: the waveform of the separated wave components may be as shown in fig. 10, due to vibration caused by compression, vibration of the thoracic cavity, collision of medical instruments, and the like. Due to these factors, the parameters calculated by the above method may be distorted. According to the Parseval theorem, the energy of a signal is conserved in one domain and its corresponding transform domain, as shown in equation 6. It is therefore contemplated that the above parameters may be established based on frequency domain analysis techniques.

<math> <mrow> <munderover> <mi>&Sigma;</mi> <mrow> <mi>n</mi> <mo>=</mo> <mn>0</mn> </mrow> <mrow> <mi>N</mi> <mo>-</mo> <mn>1</mn> </mrow> </munderover> <msup> <mrow> <mo>|</mo> <msub> <mi>S</mi> <mi>AC</mi> </msub> <mrow> <mo>(</mo> <mi>n</mi> <mo>)</mo> </mrow> <mo>|</mo> </mrow> <mn>2</mn> </msup> <mo>=</mo> <mfrac> <mn>1</mn> <mi>M</mi> </mfrac> <munderover> <mi>&Sigma;</mi> <mi>k</mi> <mrow> <mi>M</mi> <mo>-</mo> <mn>1</mn> </mrow> </munderover> <msup> <mrow> <mo>|</mo> <mi>X</mi> <mrow> <mo>(</mo> <mi>k</mi> <mo>)</mo> </mrow> <mo>|</mo> </mrow> <mn>2</mn> </msup> <mo>-</mo> <mo>-</mo> <mo>-</mo> <mrow> <mo>(</mo> <mn>6</mn> <mo>)</mo> </mrow> </mrow> </math>

Wherein x (k) is an amplitude value for each spectral component; m means that M spectral components exist in the spectrum.

The blood oxygen signal is subjected to spectrum analysis to obtain a spectrum distribution diagram, as shown in FIG. 11, wherein the frequency f₁Is the dominant or fundamental frequency, which coincides with the CPR compression frequency. In addition to the main frequency, there are several multiples, e.g. f as shown in fig. 11₂、f₃Is frequency doubling. The main frequency and the frequency multiplication are called the effective frequency components of the signal, and fq in fig. 11 is the interference frequency. By using the above equation (6), the effective frequency component (including the main frequency f) is treated in this embodiment₁Sum frequency f₂、f₃……f_N) And calculating the signal spectrum to obtain a corresponding evaluation index. For a stable signal which is not interfered, effective values of the signal calculated by a time domain method and a frequency domain method are equal, but in engineering application, the signal calculated by the frequency domain method has better anti-interference capability.

The calculation of the blood oxygen frequency characteristics, the amplitude characteristics and the area characteristics of the single pulse wave by using the frequency domain analysis method is described below.

1. And calculating the blood oxygen frequency characteristic of the pulse blood oxygen waveform. Derived from the foregoing principles, f₁Is S_ACThe dominant frequency of the wave component, whose frequency coincides with the frequency of CPR compressions, is the blood oxygen frequency characteristic, i.e., the number of CPR minute compressions, multiplied by 60.

$F_{\mathrm{CPR}}^{*}=f_1---(1*)$

${\mathrm{Deg}}_{\mathrm{PR}}^{*}=F_{\mathrm{CPR}}^{*}*60={\mathrm{<figure-callout\; id="1"\; label="f"\; filenames="DEST\_PATH\_HDA0000470682360000062.png,HDA0000394329520000061.png"\; state="\{\{state\}\}">f</figure-callout>}}_1*60---(2*)$

Wherein

Is the CPR compression frequency; f. of₁Is the signal frequency;

the number of compressions per Minute of CPR is given in Degree/Minute (times/min).

During the application of clinical CPR, the observation can be madeAnd the stability of the index or pulse rate parameter, judging whether the CPR compression frequency is stable, and adjusting the CPR compression frequency through manual or automatic equipment on the premise of meeting the guideline requirement. In general clinical application, the pressing frequency is more than or equal to 100 times/minute, and the quality of the pressing frequency can be considered to reach the standard (the index can be corrected according to a large amount of clinical practical application data).

2. Calculating the single pulse wave amplitude characteristic of the pulse blood oxygen waveform. For S_ACThe effective frequency component of the fluctuation component calculates the amplitude characteristic of the pulse oximetry waveform to evaluate the compression depth variation during CPR delivery. The amplitude characteristics can be calculated using known techniques, such as: the spectral amplitude characteristics are extracted by methods such as a maximum amplitude selection method (max amplitude), an average amplitude selection method (average amplitude), or a root mean square method (root mean square). In the embodiment, the root mean square method is adopted to extract S_ACAll frequency components f of the wave component_nAbsolute amplitude value of (N =1, 2, 3, … N)

The formula is as follows:

<math> <mrow> <msubsup> <mi>Amp</mi> <mi>CPR</mi> <mo>*</mo> </msubsup> <mo>=</mo> <msqrt> <mfrac> <mrow> <munderover> <mi>&Sigma;</mi> <mrow> <mi>n</mi> <mo>=</mo> <mn>0</mn> </mrow> <mrow> <mi>N</mi> <mo>-</mo> <mn>1</mn> </mrow> </munderover> <mrow> <mo>(</mo> <munderover> <mi>&Sigma;</mi> <mrow> <mi>k</mi> <mo>=</mo> <mn>0</mn> </mrow> <mrow> <mi>K</mi> <mo>-</mo> <mn>1</mn> </mrow> </munderover> <msub> <mi>X</mi> <msub> <mi>f</mi> <mi>n</mi> </msub> </msub> <msup> <mrow> <mo>(</mo> <mi>k</mi> <mo>)</mo> </mrow> <mn>2</mn> </msup> <mo>)</mo> </mrow> </mrow> <mi>K</mi> </mfrac> </msqrt> <mo>-</mo> <mo>-</mo> <mo>-</mo> <mrow> <mo>(</mo> <mn>3</mn> <mo>*</mo> <mo>)</mo> </mrow> </mrow> </math>

wherein,

is an absolute amplitude value, k is the current value f_nThe sampled data points of (a); k is the effective dominant frequency f_nTotal length of data of (c); n is the nth frequency peak, and N effective frequency peaks are obtained in total.

In other embodiments, only the dominant frequency f may be selected₁To assess changes in compression depth during CPR delivery.

Can reflect the state of depth change during CPR compression. Theoretically

And the compression depth exhibit a linear correlation characteristic, when the compression depth is stabilized,

the parameter values are stable and have small fluctuation. During clinical CPR applications, initial phase compressions may be erratic, at which time they may appear

The index value is unstable, namely the value has large fluctuation; with the stabilization of the depth of the compression,the index value is in a relatively steady state. Clinically, the compression depth is required to be more than or equal to 5cm according to the guideline recommendation, and in a preferred embodiment, the compression depth can be found according to series animal and human tests

Giving a compression depth of not less than 5cm in correspondence with the compression amplitude

Mapping values when calculatedThen, can be combinedIs compared with the mapped value to achieve the mapped value, and

the numerical value fluctuation is stable, and the pressing depth can be considered to reach the standard (the index can be corrected according to a large amount of clinical practical application data).

3. For S_ACEffective frequency components of the fluctuation components, and area characteristics of single pulse waves of the pulse blood oxygen waveform are calculated to evaluate the change of the cardiac output per stroke in the CPR implementation process and indirectly reflect the quality of CPR implementation. The area characteristics can be calculated using known techniques, such as: the area information of each pulse wave is calculated by a method such as an area integration method (continuous signal or discrete signal). In this embodiment, based on the fixed sampling frequency of blood oxygen technology, the absolute area value is calculated by point-by-point accumulation integration

<math> <mrow> <msubsup> <mi>Area</mi> <mi>CPR</mi> <mo>*</mo> </msubsup> <mo>=</mo> <munderover> <mi>&Sigma;</mi> <mrow> <mi>n</mi> <mo>=</mo> <mn>0</mn> </mrow> <mrow> <mi>N</mi> <mo>-</mo> <mn>1</mn> </mrow> </munderover> <mrow> <mo>(</mo> <munderover> <mi>&Sigma;</mi> <mrow> <mi>k</mi> <mo>=</mo> <mn>0</mn> </mrow> <mrow> <mi>K</mi> <mo>-</mo> <mn>1</mn> </mrow> </munderover> <msub> <mi>X</mi> <msub> <mi>f</mi> <mi>n</mi> </msub> </msub> <mrow> <mo>(</mo> <mi>k</mi> <mo>)</mo> </mrow> <mo>)</mo> </mrow> <mo>-</mo> <mo>-</mo> <mo>-</mo> <mrow> <mo>(</mo> <mn>4</mn> <mo>*</mo> <mo>)</mo> </mrow> </mrow> </math>

Is the absolute area value of single pulse wave, belongs to the parameter related to the cardiac output of each stroke, and is also called voltage volume; n is the current effective frequency component f_n(ii) a N is the number of total effective frequency components; k is the current effective frequency f_nThe sampled data points of (a); k is an effective frequency component f_nThe total data length of.

Is an indirect reflection of stroke cardiac output and is not directly equivalent to stroke cardiac output. Theoretically

Has the characteristic of linear positive correlation with the cardiac ejection volume of each compression, when the compression depth is stable and the frequency is constant,

the parameter values are stable and have small fluctuation. During clinical CPR application, the initial phase compression depth and frequency may be erratic, and the output is

The index value also has the characteristic of larger fluctuation, namely, the numerical jump range is larger. When the depth and frequency of the compression are stable,

the index value exhibits a relatively stable characteristic in which the range of variation of the value is concentrated in a small fluctuation range. There is a maximum output limit on stroke cardiac output, and when compression is achieved to a certain extent, increasing depth and frequency does not increase stroke cardiac output. According to this characteristic, when

While in a relatively steady state, the depth and frequency are fine-tuned while observing

A change in the parameter index is considered to be if the parameter change is very small (e.g., a change of less than or equal to 10%, 5%, or other value set according to actual clinical effect), or does not increase with increasing depth of compressionThe maximum value is reached, at which point it is considered that the optimum compression state for the cardiac output per stroke is found.

Similarly, when the data is processed by frequency domain analysis, in some embodiments, the amplitude index of the single pulse wave can also be calculated after the blood oxygen signal is amplified/reduced

And area index of single pulse wave

The calculation formula is as follows:

<math> <mrow> <msubsup> <mi>AmpIndex</mi> <mi>CPR</mi> <mo>*</mo> </msubsup> <mo>=</mo> <mfrac> <msqrt> <mfrac> <mrow> <munderover> <mi>&Sigma;</mi> <mrow> <mi>n</mi> <mo>=</mo> <mn>0</mn> </mrow> <mrow> <mi>N</mi> <mo>-</mo> <mn>1</mn> </mrow> </munderover> <mrow> <mo>(</mo> <munderover> <mi>&Sigma;</mi> <mrow> <mi>k</mi> <mo>=</mo> <mn>0</mn> </mrow> <mrow> <mi>K</mi> <mo>-</mo> <mn>1</mn> </mrow> </munderover> <msub> <mi>X</mi> <msub> <mi>f</mi> <mi>n</mi> </msub> </msub> <msup> <mrow> <mo>(</mo> <mi>k</mi> <mo>)</mo> </mrow> <mn>2</mn> </msup> <mo>)</mo> </mrow> </mrow> <mi>K</mi> </mfrac> </msqrt> <mrow> <mrow> <mo>(</mo> <munderover> <mi>&Sigma;</mi> <mrow> <mi>n</mi> <mo>=</mo> <mn>0</mn> </mrow> <mrow> <mi>N</mi> <mo>-</mo> <mn>1</mn> </mrow> </munderover> <msub> <mi>S</mi> <mi>DC</mi> </msub> <mrow> <mo>(</mo> <mi>n</mi> <mo>)</mo> </mrow> <mo>)</mo> </mrow> <mo>/</mo> <mi>N</mi> </mrow> </mfrac> <mo>-</mo> <mo>-</mo> <mo>-</mo> <mrow> <mo>(</mo> <mn>5</mn> <mo>*</mo> <mo>)</mo> </mrow> </mrow> </math>

wherein,

the amplitude index of the single pulse wave is the ratio of the absolute amplitude value of the single pulse wave to the corresponding direct current quantity.

To quantize the parametersThe device eliminates the influence of amplified signals on the signal amplitude, has better anti-interference capability, and can visually reflect the change of the pressing depth.

<math> <mrow> <msubsup> <mi>AreaIndex</mi> <mi>CPR</mi> <mo>*</mo> </msubsup> <mo>=</mo> <mfrac> <msubsup> <mi>Area</mi> <mi>CPR</mi> <mo>*</mo> </msubsup> <mrow> <mrow> <mo>(</mo> <munderover> <mi>&Sigma;</mi> <mrow> <mi>n</mi> <mo>=</mo> <mn>0</mn> </mrow> <mrow> <mi>N</mi> <mo>-</mo> <mn>1</mn> </mrow> </munderover> <msub> <mi>S</mi> <mi>DC</mi> </msub> <mrow> <mo>(</mo> <mi>n</mi> <mo>)</mo> </mrow> <mo>)</mo> </mrow> <mo>/</mo> <mi>N</mi> </mrow> </mfrac> <mfrac> <mrow> <munderover> <mi>&Sigma;</mi> <mrow> <mi>n</mi> <mo>=</mo> <mn>0</mn> </mrow> <mrow> <mi>N</mi> <mo>-</mo> <mn>1</mn> </mrow> </munderover> <mrow> <mo>(</mo> <munderover> <mi>&Sigma;</mi> <mrow> <mi>k</mi> <mo>=</mo> <mn>0</mn> </mrow> <mrow> <mi>K</mi> <mo>-</mo> <mn>1</mn> </mrow> </munderover> <msub> <mi>X</mi> <msub> <mi>f</mi> <mi>n</mi> </msub> </msub> <mrow> <mo>(</mo> <mi>k</mi> <mo>)</mo> </mrow> <mo>)</mo> </mrow> </mrow> <mrow> <mrow> <mo>(</mo> <munderover> <mi>&Sigma;</mi> <mrow> <mi>n</mi> <mo>=</mo> <mn>0</mn> </mrow> <mrow> <mi>N</mi> <mo>-</mo> <mn>1</mn> </mrow> </munderover> <msub> <mi>S</mi> <mi>DC</mi> </msub> <mrow> <mo>(</mo> <mi>n</mi> <mo>)</mo> </mrow> <mo>)</mo> </mrow> <mo>/</mo> <mi>N</mi> </mrow> </mfrac> <mo>-</mo> <mo>-</mo> <mo>-</mo> <mrow> <mo>(</mo> <mn>6</mn> <mo>*</mo> <mo>)</mo> </mrow> </mrow> </math>

Wherein,

the area index of the single pulse wave is the ratio of the absolute area value of the single pulse wave to the corresponding direct current quantity.

In order to quantize the value, the individual difference can be reduced, the interference caused by amplifying/reducing signals is eliminated, and the method has better anti-interference capability.

It should be noted that, although the detailed description of how to feedback whether the quality of the cardiopulmonary resuscitation is up to standard is not made in conjunction with the area characteristic in this embodiment, the steps 31-39 described in the second embodiment are also applicable to this embodiment, that is, when the frequency domain calculation method is used, whether the quality of the cardiopulmonary resuscitation is up to standard can be fed back by whether the area index enters the distribution range, and whether the quality of the cardiopulmonary resuscitation is up to standard can be fed back by the fluctuation of the area index.

Example four:

based on the above method, the present application provides a cpr quality feedback control system, as shown in fig. 12, the cpr quality feedback control system includes a data acquisition unit 40, a waveform generation unit 41, a pulse blood oxygen based peripheral circulation parameter calculation unit 42, and a feedback unit 43. The data acquisition unit 40 is used for acquiring blood oxygen signals of a tested person in a cardio-pulmonary resuscitation process; the waveform generating unit 41 is used for generating a pulse blood oxygen waveform based on the acquired blood oxygen signal; the pulse blood oxygen based peripheral circulation parameter calculating unit 42 is used for calculating a pulse blood oxygen based peripheral circulation parameter related to the quality of cardiopulmonary resuscitation based on the pulse blood oxygen waveform; the feedback unit 43 is used for performing feedback processing on the pulse oximetry based peripheral circulation parameters related to the quality of cardiopulmonary resuscitation. Peripheral circulation parameters related to quality of cardiopulmonary resuscitation include blood oxygen frequency characteristics of the pulse oximetry waveform and compression-generated peripheral circulation parameters. The peripheral circulation parameter generated by compression may be an amplitude characteristic of the single pulse wave and/or an area characteristic of the single pulse wave. When the quality of the cardio pulmonary resuscitation is fed back, the blood oxygen frequency characteristic and the amplitude characteristic of the single pulse wave can be adopted to evaluate the quality of the cardio pulmonary resuscitation together, the blood oxygen frequency characteristic and the area characteristic of the single pulse wave can be also adopted to evaluate the quality of the cardio pulmonary resuscitation together, and the blood oxygen frequency characteristic, the amplitude characteristic of the single pulse wave and the area characteristic of the single pulse wave can be also adopted to evaluate the quality of the cardio pulmonary resuscitation together. In this embodiment, the last method is described as an example. In the evaluation, the amplitude characteristic of the single pulse wave may be an absolute amplitude value, or may be an amplitude index, where the amplitude index is a ratio of the absolute amplitude value of the single pulse wave of the fluctuation component of the amplified/reduced pulse oximetry waveform to the corresponding direct current quantity. The area characteristic of the single pulse wave can be an absolute area value or an area index, and the area index is the ratio of the absolute area value of the single pulse wave of the fluctuation component of the amplified/reduced pulse blood oxygen waveform to the corresponding direct current quantity.

Since the original pulse blood oxygen waveform contains a constant component and a fluctuation component, the peripheral circulation parameter calculation unit based on the pulse blood oxygen firstly separates the constant component and the fluctuation component from the pulse blood oxygen waveform, calculates the peripheral circulation parameter generated by compression based on the fluctuation component of the pulse blood oxygen waveform, and calculates the blood oxygen frequency characteristic based on the pulse blood oxygen waveform or based on the fluctuation component of the pulse blood oxygen waveform.

In an embodiment, the feedback unit processes the pulse oximetry based peripheral circulation parameter related to the quality of cardiopulmonary resuscitation into video information that can be displayed on the display interface in order to display the parameter (e.g., blood oxygen frequency characteristics, amplitude characteristics of the single pulse wave, and area characteristics of the single pulse wave) on the display interface.

In a preferred embodiment, the feedback unit 43 processes the peripheral circulation parameters (such as the amplitude characteristic and the area characteristic of the single pulse wave) generated by the compression into waveform data that can be displayed on a display interface, so as to facilitate the user to observe the change of the amplitude characteristic and the area characteristic.

Theoretically, the amplitude characteristic and the compression depth show linear correlation characteristics, and when the compression depth is stable, the amplitude characteristic parameter value is stable and has small fluctuation. In the clinical CPR application process, the compression may be unstable at the beginning stage, and the phenomenon of unstable amplitude characteristic index value can occur at the moment, namely, the value fluctuation is large; with the stabilization of the compression depth, the amplitude characteristic index value assumes a relatively stable state. The area characteristic and the cardiac ejection volume of each compression are in a linear positive correlation characteristic, and when the compression depth is stable and the frequency is constant, the area characteristic parameter value is stable and the fluctuation is small. In the clinical CPR application process, the compression depth and frequency may be unstable in the initial stage, and the output area characteristic index value also has the characteristic of large fluctuation, that is, the value jump range is large. When the compression depth and the frequency are stable, the area characteristic index value exhibits a relatively stable characteristic in which the value variation range is concentrated in a small fluctuation range. Therefore, the user can judge whether the pressing depth and the frequency are stable by observing the changes of the amplitude characteristic and the area characteristic.

In clinic, according to the guideline suggestion, the pressing depth is required to be more than or equal to 5cm, because the amplitude characteristic can directly reflect the pressing depth, if a mapping value corresponding to the pressing depth of 5cm is found and displayed on the oscillogram of the amplitude characteristic, whether the pressing depth meets the guideline requirement can be conveniently judged according to the value of the amplitude characteristic. According to the test of series animals and human bodies, finding out the corresponding relation between the amplitude characteristic and the compression amplitude, determining the mapping value of the amplitude characteristic with the compression depth being more than or equal to 5cm, forming the amplitude distribution range limit related to the heart compression depth standard value, and displaying the amplitude distribution range limit related to the heart compression depth standard value and the amplitude waveform data on the same graph. When the amplitude characteristic reaches this value and the numerical fluctuation is stable, the compression depth can be considered to substantially reach the standard. In this embodiment, the basic standard-reaching value of "the pressing depth is greater than or equal to 5 cm" is taken as an example for explanation, and it should be understood by those skilled in the art that the basic standard-reaching value may be modified according to clinical practical application data.

For the area characteristic waveform map, the area distribution range limits and area waveform data related to the cardiac compression depth scalar may also be displayed on the area characteristic waveform map. When the area characteristic is within the area distribution range limit, the compression depth and frequency are considered to be substantially met.

In addition to manual observation of the oscillogram of the amplitude characteristic and the area characteristic by the user, in another embodiment, automatic judgment and prompt can be adopted to feed back and control the quality of the administration of the cardiopulmonary resuscitation. As shown in fig. 13, in this embodiment, the cpr quality feedback control system comprises a data acquisition unit 40, a waveform generation unit 41, a pulse oximetry based peripheral circulation parameter calculation unit 42, a feedback unit 43, a first prompting unit 44, a second prompting unit 45 and a control module 46. The data acquisition unit 40, the waveform generation unit 41, the pulse blood oxygen based peripheral circulation parameter calculation unit 42 and the feedback unit 43 are the same as those in the embodiment shown in fig. 12, the first prompt unit 44 is configured to calculate a fluctuation value of the amplitude characteristic, determine whether the fluctuation value of the amplitude characteristic is smaller than a first set value and whether the amplitude characteristic is within an amplitude distribution range limit, and if so, output a first prompt message, where the first prompt message is used to prompt the user that the current compression depth reaches the standard. The first presentation unit 44 outputs first result information when it is judged that the fluctuation value of the amplitude characteristic is smaller than the first set value but the amplitude characteristic does not enter the limit of the amplitude distribution range. The second prompting unit 45 is configured to calculate a fluctuation value of the area characteristic, determine whether the fluctuation value of the area characteristic is smaller than a second set value and whether the area characteristic is within an area distribution range limit, and output second prompting information if the fluctuation value of the area characteristic is smaller than the second set value and the area characteristic is within the area distribution range limit, where the second prompting information is used to prompt the user that the current pressing quality reaches the standard. The second presentation unit 45 outputs second result information when it is judged that the fluctuation value of the area characteristic is smaller than the second set value but the area characteristic does not enter the area distribution range limit. The second presentation unit 45 also outputs third result information when it is judged that the area characteristic enters the area distribution range limit and the fluctuation value of the area characteristic is smaller than the second set value. The control module 46 controls the cardiopulmonary resuscitation device 47 to increase the compression depth upon receiving the first result information, the second result information, and the third result information. After the control module 46 controls the cardiopulmonary resuscitation device 47 to increase the compression depth according to the third result information, the peripheral circulation parameter calculation unit 42 based on pulse blood oxygen is notified to calculate the area characteristic of the single pulse wave after the compression depth is increased, judge whether the area characteristic is the maximum, if not, the pulse oximetry based peripheral circulation parameter calculation unit 42 outputs fourth result information to the control module 46, the control module 46 controls the cardiopulmonary resuscitation instrument 47 to increase the compression depth appropriately based on the fourth result information, if yes, the pulse blood oxygen based peripheral circulation parameter calculating unit 42 outputs fifth result information and third prompt information, the control module 46 controls the cardiopulmonary resuscitation instrument 47 to keep the current compression depth based on the fifth result information, and the third prompt information is used for prompting the user that the tested person currently reaches the optimal compression state of the stroke cardiac output.

The data acquisition unit 40, the waveform generation unit 41, the pulse blood oxygen based peripheral circulation parameter calculation unit 42, the feedback unit 43, the first prompting unit 44, the second prompting unit 45 and the control module 46 in this embodiment may be integrated into one module, or may be separately integrated into a plurality of modules.

Example five:

based on the above method and/or system, the present application provides a medical device, as shown in fig. 14, which includes a blood oxygen probe 51, a blood oxygen module 52 and an output module 53. The blood oxygen probe 51 is used for detecting a detected part of a detected person and detecting a blood oxygen signal of the detected person in real time. The blood oxygen module 52 is coupled to the blood oxygen probe 51, and is configured to acquire a blood oxygen signal output by the blood oxygen probe, generate a pulse blood oxygen waveform based on the blood oxygen signal, calculate a peripheral circulation parameter related to the quality of cardiopulmonary resuscitation based on the pulse blood oxygen waveform, and output information related to the parameter. The output module 53 is coupled to the blood oxygen module 52 for feeding back the information related to the parameters outputted by the blood oxygen module.

The blood oxygen probe 51 may be an existing or future new probe, as long as it can detect the blood oxygen signal. As shown in FIG. 2, the blood oxygen probe 51 comprises a light emitting device 100 and a photo detector 101, wherein the light emitting device 100 and the photo detector 101 are oppositely disposed at two sides of the blood oxygen probe 51. Because of the need to calculate the blood oxygen saturation, the light emitting device 100 usually includes a red light emitting tube and an infrared light emitting tube, and at the time of detection, the light emitted from the light emitting device 100 reaches the photodetector 101 through the artery blood vessel of the detection site, and the photodetector 101 converts the detected red light and infrared light transmitted through the artery blood vessel into electrical signals and outputs them. When the detected blood oxygen signal is used for performing quality assessment of cardiopulmonary resuscitation, only a red light signal or only an infrared light signal may be used, so that the light emitting device 100 may only include a red light emitting tube or an infrared light emitting tube.

In the prior art, the blood oxygen probe 51 is usually fixed on the extremity of the subject, such as the finger or toe, when detecting the blood oxygen signal, so that the blood oxygen probe 51 can be a ring, a finger clip or a patch. The finger clip is of a clip-shaped structure, and can be opened after one end of the finger clip is lightly pressed, and the finger clip clamps the finger after the finger belly part of the finger extends into the finger clip. The upper wall of the clamp is a light-emitting device, two light-emitting diodes which are arranged in parallel are fixed, red light and infrared light with the wavelengths of 660nm and 940nm are emitted respectively, the lower wall of the clamp is a receiving device (such as a photoelectric detector), the light emitted by the upper wall penetrates through the corresponding part (generally, the finger abdomen) of the body, and the opposite receiving device detects the transmitted signals. The patch designed in the same way is of a soft strip-shaped structure, is consistent with the principle of the finger clip, and is different in that the light-emitting and receiving devices are positioned at different positions of the patch, and are opposite to the two sides of the receiving device at intervals of finger abdomen after the patch winds around the finger for a circle, so that the functions are realized.

In a particular embodiment, the blood oxygen module 52 and the blood oxygen probe 51 may be connected by a probe attachment 54, and the probe attachment 54 may be a connecting wire. In some embodiments, the blood oxygen module 52 and the blood oxygen probe 51 may also be connected by wireless communication, for example, the blood oxygen probe 51 and the blood oxygen module 52 are respectively provided with a wireless communication module.

The blood oxygen module 52 collects the blood oxygen signal outputted by the blood oxygen probe 51, generates a pulse blood oxygen waveform based on the blood oxygen signal, and calculates the peripheral circulation parameters related to the quality of cardiopulmonary resuscitation based on the pulse blood oxygen waveform and by using the technical scheme set forth in the above method or system. Peripheral circulation parameters related to cardiopulmonary resuscitation quality include blood oxygen frequency characteristics of the pulse oximetry waveform and compression-generated peripheral circulation parameters including amplitude characteristics of the bolus pulse wave and/or area characteristics of the bolus pulse wave. The amplitude characteristic of the single pulse wave can be an absolute amplitude value or an amplitude index, and the area characteristic of the single pulse wave can be an absolute area value or an area index.

In various embodiments of the present application, the output module may be configured to output various associated information reflecting peripheral circulation-related parameters. The associated information includes, but is not limited to, video information, audio information, and optical frequency information. Such as, but not limited to, a trend graph reflecting dynamic changes of peripheral circulation related parameters, target range value information of peripheral circulation related parameters related to achievement of quality of cardiopulmonary resuscitation, first alarm information generated when peripheral circulation related parameters exceed their target range values, and second alarm information generated when peripheral circulation related parameters dynamically change beyond their optimal change ranges, and so on. The audio information herein mainly refers to the auditory sense of touch based on audio change, which includes but is not limited to specific parameter value information, parameter change trend information, alarm prompt information, current pressing quality, pressing adjustment prompt, etc., and its representation form may be a specific numerical value, or a buzzer sound playing a role of reminding, etc. The light frequency information mainly refers to visual touch feeling based on light frequency change, and the specific expression form of the light frequency information can be a flashing lamp form when the peripheral circulation parameter information exceeds a target range or has too low stability, and can be indicating lamps with different colors which are mutually converted to indicate the current pressing quality and the like.

In one embodiment, the output module 53 may be a sound playing module, and the data output by the blood oxygen module 52 is audio information related to the peripheral circulation parameter based on the pulse blood oxygen, and the sound playing module plays the audio information. For example, the user is notified of the current state of pressing in the form of sound play.

In another embodiment, the output module 53 may be a display module, the data output by the blood oxygen module 52 is video information related to the peripheral circulation parameter based on pulse blood oxygen, and the display module displays the video information related to the parameter in a visual manner on a display interface, wherein the video information may be displayed in a text manner or an image manner, such as a waveform diagram.

In one embodiment, the blood oxygen module 52 separates a constant component and a fluctuation component from the pulse oximetry waveform, calculates an amplitude characteristic and an area characteristic of the single pulse wave based on the fluctuation component of the pulse oximetry waveform, and calculates a blood oxygen frequency characteristic based on the pulse oximetry waveform or based on the fluctuation component of the pulse oximetry waveform. The blood oxygen frequency characteristic, the amplitude characteristic, the area characteristic and related data are processed into video information and output to a display module, the blood oxygen frequency characteristic is displayed in real time in a text mode, the amplitude characteristic and the area characteristic are displayed in real time in a waveform diagram mode, an amplitude distribution range limit related to a heart compression depth standard value is displayed on the waveform diagram of the amplitude characteristic, and an area distribution range limit related to the heart compression depth standard value is displayed on the waveform diagram of the area characteristic. The user can judge whether the pressing quality reaches the standard or not by observing the numerical values of the blood oxygen frequency characteristic, the amplitude characteristic and the area characteristic which are displayed in real time and the fluctuation conditions of the amplitude characteristic and the area characteristic. The blood oxygen module can also respectively calculate the fluctuation values of the amplitude characteristic and the area characteristic, and outputs corresponding prompt information when the fluctuation values are smaller than a set threshold value, so that the judgment result is more accurate and visual.

In addition to using pulse oximetry based peripheral circulation parameters for feedback on the quality of cardiopulmonary resuscitation delivery, in another embodiment, the medical device of the present application may be connected to another medical device to improve the accuracy of the interaction of the other medical device with the subject. The medical equipment also comprises an interactive control interface for data communication with the other medical equipment, and the automatic switching of the function mode of the other medical equipment can be further controlled through the interactive control interface. Specifically, the blood oxygen module may evaluate the current cardiopulmonary resuscitation quality according to whether the calculated parameter value of the peripheral circulation parameter meets the standard, whether the fluctuation value exceeds the corresponding set value, and the like, and further adjust the configuration output of another medical device according to the evaluation result. Where the present invention is particularly applicable to cardiopulmonary resuscitation, the adjusted configuration outputs include, but are not limited to, compression phase, compression depth (force), compression frequency, etc. administered to the subject; the adjusted configuration output, for example, maintains the current compression state, increases the compression depth (force), and so on. Configuration adjustments based on the pulse oximetry based peripheral circulation parameters may allow another medical device to perform more accurate and targeted operations on the subject.

In another embodiment comprising an interactive control interface, the connected medical device may be a cpr apparatus, and the interactive control interface may be a cpr apparatus interface, and the detailed description will be given of how the cpr apparatus can be controlled according to feedback when connected to enable the cpr apparatus to operate in a state optimal for resuscitation of the subject.

With continued reference to fig. 14, the medical device further includes a control module 55 and a cpr interface 56 based on the above, and the control module 55 is in signal connection with the cpr interface 56 and the blood oxygen module 52 respectively. When the cpr apparatus is a device for automatically adjusting the compression status, the cpr apparatus can be connected via the cpr apparatus interface 56, and the control module 55 can communicate with the cpr apparatus via the cpr apparatus interface 56, for example, can receive information transmitted by the cpr apparatus, and control the compression frequency and the compression depth of the cpr apparatus according to the initial default setting or information fed back by the blood oxygen module 52.

When the administration of cardiopulmonary resuscitation is started, the cardiopulmonary resuscitation apparatus may be controlled by the control module 55 to start operating according to the default compression frequency and compression depth. In the working process of the cardiopulmonary resuscitation instrument, the blood oxygen probe 51 detects the blood oxygen signal of the measured person, the blood oxygen module 52 calculates the blood oxygen frequency characteristic, the amplitude characteristic and the area characteristic of the single pulse wave based on the blood oxygen signal, and also calculates the fluctuation values of the amplitude characteristic and the area characteristic, judges whether the fluctuation value of the amplitude characteristic is smaller than a first set value and whether the amplitude characteristic is located in the range limit of the amplitude distribution, and judges whether the fluctuation value of the area characteristic is smaller than a second set value and whether the area characteristic is located in the range limit of the area distribution. If the fluctuation value of the amplitude characteristic is smaller than the first set value but the amplitude characteristic does not enter the range limit of the amplitude distribution, the blood oxygen module 52 outputs the first result information to the control module 55, and the control module 55 controls the cardiopulmonary resuscitation apparatus to increase the compression depth according to the first result information. If the fluctuation value of the area characteristic is smaller than the second set value but the area characteristic does not enter the area distribution range limit, the blood oxygen module 52 outputs the second result information to the control module 55, and the control module 55 controls the cardiopulmonary resuscitation apparatus to increase the compression depth according to the second result information. If the area characteristic enters the area distribution range limit and the fluctuation value of the area characteristic is smaller than the second set value, the blood oxygen module 52 outputs third result information to the control module 55, the control module 55 controls the cardiopulmonary resuscitation apparatus to increase the compression depth according to the third result information and feeds back the information of the increased compression depth to the blood oxygen module 52, the blood oxygen module 52 calculates the area characteristic of the single pulse wave after the compression depth is increased based on the feedback, judges whether the area characteristic of the single pulse wave after the compression depth is increased is the maximum, if not, the fourth result information is output, if so, the fifth result information is output, the control module 55 controls the cardiopulmonary resuscitation apparatus to increase the compression depth according to the fourth result information, and controls the cardiopulmonary resuscitation apparatus to keep the current compression depth according to the fifth result information.

In clinical applications, the medical device may be a bedside device, such as a monitor, a defibrillator, an automatic resuscitation apparatus, an electrocardiograph, etc., and the blood oxygen module is added on the basis of the existing bedside device, and the blood oxygen module may be a separate module or a part of a circuit integrated on a host of the bedside device, and the functions of the blood oxygen module may be implemented by a computer executable program based on any one of the methods and/or systems described above. The display module of the bedside equipment can be used as an output module, the host of the bedside equipment can be used as a control module, or the control module can be integrated in the host of the bedside equipment.

Example six:

the embodiment discloses a pulse blood oxygen plug-in which can be matched with bedside equipment to realize the feedback of the implementation quality of cardiopulmonary resuscitation. As shown in fig. 15, the pulse oximetry plug-in includes a housing 61, an oximetry signal interface 62, an oximetry module (not shown), and an output interface (not shown). Housing 61 has a user facing face 611 and a back plate 612 for contact with the host, and an oximetry signal interface 62 is located on the face 611 of the housing for connection to the accessory 64 of the oximetry probe; the output interface is located on the back plate 612 of the housing and is used for contacting with the corresponding interface 631 on the host, and the output interface can be a conductive contact or a socket; blood oxygen module is located inside shell 61, and blood oxygen module respectively with blood oxygen signal interface 62 and output interface connection, blood oxygen module receive blood oxygen signal from blood oxygen signal interface 62, generate pulse blood oxygen waveform based on blood oxygen signal to peripheral circulation parameter relevant with cardiopulmonary resuscitation quality is calculated based on pulse blood oxygen waveform, and the relevant information of parameter is exported, blood oxygen module communicates with host computer 63 through output interface. The host 63 is a host of bedside equipment. The blood oxygen module processes blood oxygen data based on the technical scheme set forth by any one of the methods and/or systems and then transmits the processed blood oxygen data to the host computer, and the host computer displays the processed blood oxygen data through the display module of the bedside equipment and feeds back implementation quality of cardiopulmonary resuscitation to a user.

In a specific embodiment, the information related to the peripheral circulation parameter based on pulse blood oxygen output by the blood oxygen module includes video information, which includes waveform data of amplitude characteristics, and the waveform data of the amplitude characteristics includes an amplitude distribution range boundary related to the cardiac compression depth scalar value; or waveform data of the area characteristic, the waveform data of the area characteristic including an area distribution range limit related to the cardiac compression depth scalar value. The blood oxygen module is further used for calculating a fluctuation value of the amplitude characteristic, judging whether the fluctuation value of the amplitude characteristic is smaller than a first set value and whether the amplitude characteristic is within the range limit of the amplitude distribution range, and if so, outputting first prompt information, wherein the first prompt information is used for prompting a user that the current pressing depth reaches the standard; or the blood oxygen module outputs first result information when judging that the fluctuation value of the amplitude characteristic is smaller than the first set value but the amplitude characteristic does not enter the limit of the amplitude distribution range, wherein the first result information is used for controlling the cardio-pulmonary resuscitation apparatus to increase the compression depth. The blood oxygen module is also used for calculating the fluctuation value of the area characteristic, judging whether the fluctuation value of the area characteristic is smaller than a second set value and whether the area characteristic is located in the area distribution range limit, and if so, outputting second prompt information which is used for prompting a user that the current pressing quality reaches the standard; or the blood oxygen module outputs second result information when judging that the fluctuation value of the area characteristic is smaller than the second set value but the area characteristic does not enter the area distribution range limit, and the second result information is used for controlling the cardio-pulmonary resuscitation instrument to increase the compression depth.

In one embodiment, the blood oxygen module 64 is shown in fig. 16 and includes a sampling circuit 641, a data processing circuit 642 and a receiving and transmitting circuit 643. Sampling circuit 641, coupled to oximetry signal interface 62, is for sampling the oximetry signal input by oximetry signal interface 62; the data processing circuit 642, which is used to perform most of the functions of the blood oxygen module, is coupled to the output of the sampling circuit 641, generates a pulse blood oxygen waveform based on the sampled blood oxygen signal, calculates parameters of peripheral circulation related to the quality of cardiopulmonary resuscitation based on the pulse blood oxygen waveform, and outputs information related to the above parameters after processing. In a specific embodiment, the data processing circuit 642 may be a microprocessor MCU, and its functions may be realized by running a computer executable program. The receiving and transmitting circuit 643 is connected between the data processing circuit 642 and the output interface, and is used for realizing communication between the data processing circuit 642 and the host 63 through the output interface. Blood oxygen module 64 may also include peripheral circuits such as amplification circuits for amplifying the acquired signals and/or filter circuits for filtering the acquired signals. The peripheral circuit also comprises a voltage stabilizing circuit, wherein the voltage stabilizing circuit obtains electricity from the host through an output interface and supplies power to each part of circuit after voltage stabilization.

In another embodiment, the pulse oximetry card may communicate wirelessly with the host, for example, the receiving and transmitting circuit 643 includes a wireless communication module therein, and the host also includes a wireless communication module therein, so as to communicate between the pulse oximetry card and the host. In such an embodiment, the pulse oximetry plug-in does not need to be in contact with the host, may be located remotely from the host, and does not need an output interface.

When a patient in a hospital stops the heartbeat or a patient out of the hospital stops the heartbeat and is sent into the hospital, a monitor is usually connected to the patient at the first time in the conventional rescue treatment process, and the heart rate, blood pressure, respiration and pulse blood oxygen saturation values of the patient are displayed. The most effective rescue tool when a patient is at cardiac arrest is to perform high quality cardiopulmonary resuscitation, the quality of which is critical to high quality chest compressions. Parameters that clinically measure compression quality include location of compressions, frequency, depth, time ratio of compressions to relaxation, rebound of the thorax, and the like. When the compression is not properly positioned, not deep enough, too frequent or too slow, not enough relaxation, etc., the quality of resuscitation is compromised. According to the analysis, the peripheral circulation parameters calculated based on the pulse blood oxygen waveform can be used for timely finding the change, the cardio-pulmonary resuscitation implementation quality is timely fed back, and the blood oxygen signals are measured from the outside of the body, so that no wound is caused to a patient. When the automatic external resuscitator is matched with the automatic external resuscitator, the control of the automatic external resuscitator can be realized according to feedback. Because the blood oxygen saturation of the patient is usually detected in the rescue treatment process of the patient, the blood oxygen signal of the patient needs to be detected, so that the embodiment of the application does not need additional feedback equipment, and is convenient and economic to use.

The following experimental results illustrate the pulse oximetry based peripheral circulation parameters calculated in this example and the assessment of the quality of the administration for cardiopulmonary resuscitation.

The external chest compression is carried out by adopting an automatic external resuscitator in animal experiments, and two indexes are fixed: the frequency and location of compression, followed by dividing cardiopulmonary resuscitation into high mass (5 cm), medium mass (4 cm), and low mass (3 cm) according to the depth of compression, in which pulse oximetry values, waveform, amplitude, and area under the curve are output in three cases, where the amplitude and area under the curve include instantaneous values and average values within 30 seconds, and are more reference value with the average values to reduce errors, as shown in fig. 17-21. In the presence of spontaneous circulation, the pulse blood oxygen saturation value is high, and the amplitude and the area under the curve are also high, as shown in fig. 17; when the patient's spontaneous circulation disappears (when the heartbeat is stopped), the pulse oximetry value cannot be measured, and the amplitude of the wave, the area under the curve, is shown as 0 or an extremely low value, as shown in fig. 18; when low quality cardiopulmonary resuscitation is performed, the values of the above parameters are low, as shown in fig. 19; the amplitude and area under the curve values were higher for medium-quality cardiopulmonary resuscitation than for low-quality cardiopulmonary resuscitation, as shown in fig. 20; the values of the parameters were higher for high quality cardiopulmonary resuscitation, as shown in fig. 21.

In actual work, if the relevant parameter value output in real time is lower than the threshold value of the high-quality cardio-pulmonary resuscitation, the resuscitation quality needs to be immediately improved to achieve the high-quality resuscitation, the perfusion and the prognosis of the important organs of a patient are improved, the resuscitation success rate is improved, under the condition protected by the patent, the resuscitation monitoring feedback system can be used as a resuscitation monitoring feedback system which is convenient, non-invasive, economical and capable of reflecting the cardio-pulmonary resuscitation quality in real time and being widely popularized and applied in the existing cardio-pulmonary resuscitation field, can provide visual and real-time monitoring feedback control indexes to improve the cardio-pulmonary resuscitation quality for clinical doctors, has huge actual application value and wide application prospect, and has high social value for the development of the medical health industry and the health career of people.

Those skilled in the art will appreciate that all or part of the steps of the various methods in the above embodiments may be implemented by instructions associated with hardware via a program, which may be stored in a computer-readable storage medium, and the storage medium may include: read-only memory, random access memory, magnetic or optical disk, and the like.

The foregoing is a more detailed description of the present invention that is presented in conjunction with specific embodiments, and the practice of the invention is not to be considered limited to those descriptions. It will be apparent to those skilled in the art that a number of simple derivations or substitutions can be made without departing from the inventive concept.

Claims (70)

1. A medical device, characterized in that it comprises: The light emitting receiver includes a receiving tube and a light emitting tube, the light emitting tube emits at least one light signal for passing through human tissue, and the receiving tube receives at least one light signal passing through human tissue, and converts at least one light signal into at least one light signal electric signal; A digital processor, configured to convert the electrical signal into a digital signal, and process the digital signal to obtain parameters related to peripheral circulation; wherein the digital signal includes at least part of hemodynamic characteristics; An output module, configured to output associated information corresponding to the relevant parameters of the peripheral circulation. 2. The medical device according to claim 1, wherein the peripheral circulation-related parameters are related to pulse characteristics of the human tissue. 3. The medical device according to claim 2, wherein the peripheral circulation related parameters include parameters reflecting the quality of cardiopulmonary resuscitation. 4 . The medical device according to claim 3 , wherein the parameters reflecting the quality of cardiopulmonary resuscitation include a first reflection parameter, and the first reflection parameter is used to reflect a frequency change characteristic of compressions of cardiopulmonary resuscitation. 5 . The medical device according to claim 3 , wherein the parameters reflecting the quality of cardiopulmonary resuscitation include a second reflection parameter, and the second reflection parameter is used to reflect characteristics of changes in depth of compression of cardiopulmonary resuscitation. 6. The medical device according to claim 3, wherein the parameters reflecting the quality of cardiopulmonary resuscitation include a third reflection parameter, and the third reflection parameter is used to reflect the comprehensive change characteristics of the frequency and depth of cardiopulmonary resuscitation compressions . 7. The medical device according to any one of claims 4-6, wherein said digital processor obtains said peripheral circulation-related parameters reflecting the quality of cardiopulmonary resuscitation by identifying real-time pulse characteristics reflected by said digital signal . 8. The medical device according to claim 7, wherein the digital processor obtains the real-time pulse characteristic reflected by the digital signal by identifying the fluctuation component and the constant component of the digital signal. 9. The medical device according to claim 4, wherein the digital processor obtains the first reflection parameter by identifying fluctuation components of the digital signal and calculating the frequency of the fluctuation components. 10. The medical device according to claim 5, wherein the digital processor obtains the second reflection parameter by identifying fluctuation components of the digital signal and performing amplitude transformation on the fluctuation components. 11. The medical device according to claim 5, wherein the digital processor identifies fluctuating components and constant components of the digital signal, and calculates an amplitude ratio after amplitude transformation of the fluctuating components and the constant components respectively, to obtain the corrected second reflection parameter. 12. The medical device according to claim 6, wherein the digital processor obtains the third reflection parameter by identifying fluctuation components of the digital signal and calculating an area integral of the fluctuation components. 13. The medical device of claim 6, wherein the digital processor identifies a fluctuating component and a constant component of the digital signal, and calculates an area ratio of the area integral of the fluctuating component to the area integral of the constant component, to obtain the corrected third reflection parameter. 14. The medical device according to claim 1, wherein the digital processor processes the digital signal through at least one calculation method to obtain the peripheral circulation-related parameters reflecting the quality of cardiopulmonary resuscitation. 15. The medical device according to claim 14, wherein the at least one calculation method is a time domain calculation method and/or a frequency domain calculation method. 16. The medical device of claim 15, wherein the time domain algorithm is based on identifying fluctuating and constant components of the digital signal. 17. The medical device according to claim 15 or 16, wherein the time domain calculation method calculates the peripheral circulation related parameters by identifying the frequency characteristics and/or amplitude characteristics and/or area characteristics of the digital signal . 18. The medical device of claim 17, wherein the time-domain algorithm identifies the digital signal based on a fluctuating component of the digital signal, or based on a ratio of a fluctuating component to a constant component of the digital signal The magnitude and area characteristics of . 19. The medical device according to claim 15, wherein the frequency domain calculation method calculates the peripheral circulation related parameters based on the frequency spectrum characteristics of the digital signal. 20. The medical device according to claim 15 or 19, wherein the frequency domain calculation method is spectrum identification based on a non-zero spectrum or a spectrum identification based on a ratio of a non-zero spectrum to a zero spectrum. 21. The medical device according to claim 1, wherein the associated information includes one or more of the following: video information, audio information and light frequency information corresponding to the peripheral circulation related parameters. 22. The medical device according to claim 21, wherein the output module is a display module; the display module is used to display the video information, and the video information includes dynamic parameters reflecting the relevant parameters of the peripheral circulation Change trend graph. 23. The medical device according to claim 22, wherein the display module is also used to display one or more of the following video information on the trend graph: peripheral circulation related to the quality of cardiopulmonary resuscitation The target range value information of the parameter, the first alarm information generated when the peripheral cycle related parameter exceeds its target range value, and the second alarm message generated when the dynamic change of the peripheral cycle related parameter exceeds its optimal variation range. 24. The medical device of claim 21, wherein the audio information refers to auditory haptic sensations based on audio changes. 25. The medical device according to claim 21, wherein the light frequency information refers to visual touch based on light frequency changes. 26. A medical device plug-in, characterized by comprising: shell components; The physiological signal acquisition interface is located on the outer surface of the shell assembly and is used for connecting signal acquisition accessories; The physiological signal processing module is located inside the shell assembly, the physiological signal processing module acquires the acquisition signal through the physiological signal acquisition interface, converts the acquisition signal into a digital signal, and calculates relevant parameters of the peripheral circulation based on the digital signal; An interactive interface, the physiological signal processing module performs information interaction with a host through the interactive interface. 27. The medical device insert according to claim 26, wherein the housing assembly is used to protect the physiological signal processing module from being damaged by external interference, and the external interference includes light, electromagnetic and external impact. 28. The medical device plug-in according to claim 26, wherein the physiological signal processing module comprises a signal sampling circuit, a digital processor and a data communication circuit. 29. The medical device plug-in according to claim 28, wherein the signal sampling circuit obtains the electrical signal from the physiological signal acquisition interface and converts the electrical signal into a digital signal; the digital processor The peripheral circulation related parameter is calculated based on the digital signal. 30. The medical device plug-in according to claim 26, wherein the interaction interface and the working mode of the physiological signal processing module are at least partially controlled by the host. 31. The medical device plug-in according to claim 30, wherein the physiological signal processing module automatically adjusts the working mode according to the settings of the host. 32. The medical device plug-in according to claim 30, wherein the physiological signal processing module automatically transmits the calculated parameters related to the peripheral circulation to the host according to the settings of the host. 33. The medical device plug-in according to claim 26, wherein the interaction interface and the physiological signal processing module depend on the energy supply of the host to work. 34. The medical device insert of any one of claims 26-33, wherein the digital signal comprises at least part of a peripheral circulation characteristic. 35. The medical device insert according to any one of claims 26-33, wherein the peripheral circulation related parameters include parameters reflecting the quality of cardiopulmonary resuscitation. 36. The medical device according to claim 35, wherein the parameters reflecting the quality of cardiopulmonary resuscitation include a first reflection parameter, and the first reflection parameter is used to reflect a frequency change characteristic of compressions of cardiopulmonary resuscitation. 37. The medical device according to claim 35, wherein the parameter reflecting the quality of cardiopulmonary resuscitation includes a second reflecting parameter, and the second reflecting parameter is used to reflect a depth variation characteristic of cardiopulmonary resuscitating compression. 38. The medical device according to claim 35, wherein the parameters reflecting the quality of cardiopulmonary resuscitation include a third reflection parameter, and the third reflection parameter is used to reflect the comprehensive change characteristics of the frequency and depth of cardiopulmonary resuscitation compressions . 39. The medical device plug-in according to claim 35, characterized in that the quality of cardiopulmonary resuscitation is reflected by the fluctuation characteristics and stable levels of the peripheral circulation-related parameters, and by the degree of conformity between the peripheral circulation-related parameters and their target range values . 40. A cardiopulmonary resuscitation quality feedback control method, characterized in that it is used to process one or more of at least two measured signals to calculate peripheral circulation related parameters based on the measured signals; wherein the method includes : Confirming the pulse signal according to the measured signal; calculating the peripheral circulation related parameters according to the pulse signal, and The relevant parameters of the peripheral circulation are displayed on the display interface. 41. A cardiopulmonary resuscitation quality feedback control method, characterized in that it comprises: processing one or more of the at least two measured signals to calculate a peripheral circulation-related parameter reflecting the quality of cardiopulmonary resuscitation based on the measured signals; Wherein, the peripheral circulation-related parameters that reflect the quality of cardiopulmonary resuscitation include one or more of the following parameters: a first reflection parameter, a second reflection parameter, and a third reflection parameter, and the first reflection parameter is used to reflect changes in the frequency of cardiopulmonary resuscitation compressions characteristics, the second reflection parameter is used to reflect the depth variation characteristics of cardiopulmonary resuscitation compressions, and the third reflection parameter is used to reflect the comprehensive variation characteristics of the frequency and depth of cardiopulmonary resuscitation compressions. 42. The method according to claim 41, characterized in that, based on the real-time pulse characteristics of the measured signal, the peripheral circulation-related parameters reflecting the quality of cardiopulmonary resuscitation are identified. 43. The method according to claim 42, wherein the real-time pulse characteristic of the measured signal is obtained by identifying the fluctuating component and the constant component of the measured signal. 44. The method according to any one of claims 41-43, wherein the first reflection parameter is obtained by identifying fluctuation components of the measured signal and calculating the frequency of the fluctuation components. 45. The method according to any one of claims 41-43, wherein the second reflection parameter is obtained by identifying fluctuation components of the measured signal and performing amplitude transformation on the fluctuation components. 46. The method according to any one of claims 41-43, characterized in that, by identifying the fluctuating component and the constant component of the digital signal, and calculating the amplitude ratio after the amplitude transformation of the fluctuating component and the constant component respectively , to obtain the corrected second reflection parameter. 47. The method according to any one of claims 41-43, wherein the third reflection parameter is obtained by identifying fluctuation components of the digital signal and calculating an area integral of the fluctuation components. 48. The method according to any one of claims 41-43, characterized in that, by identifying the fluctuating component and the constant component of the digital signal, and calculating the area ratio of the area integral of the fluctuating component to the area integral of the constant component , to obtain the corrected third reflection parameter. 49. The method according to claim 41, characterized in that the measured signal is processed based on at least one calculation method to obtain peripheral circulation related parameters reflecting the quality of cardiopulmonary resuscitation. 50. The method according to claim 49, wherein the at least one calculation method is a time domain calculation method and/or a frequency domain calculation method. 51. The method of claim 50, wherein the time domain calculation is based on identifying fluctuating and constant components of the digital signal. 52. The method according to claim 50 or 51, wherein the time domain calculation method calculates the peripheral circulation related parameters by identifying the frequency feature and/or amplitude feature and/or area feature of the digital signal. 53. The method according to claim 52, wherein the time-domain calculation method identifies the value of the digital signal based on a fluctuating component of the digital signal, or based on a ratio of a fluctuating component to a constant component of the digital signal Magnitude and area features. 54. The method according to claim 50, wherein the frequency domain calculation method calculates the peripheral cycle related parameters based on the spectral characteristics of the digital signal. 55. The method according to claim 50 or 54, wherein the frequency domain calculation method is spectrum identification based on non-zero spectrum or spectrum identification based on the ratio of non-zero spectrum to zero spectrum. 56. A medical device characterized by comprising: The blood oxygen probe is used to detect the measured part of the subject and detect the blood oxygen signal of the subject in real time; The blood oxygen module, coupled to the blood oxygen probe, is used to collect the blood oxygen signal output by the blood oxygen probe, generate the pulse oximetry waveform based on the blood oxygen signal, calculate the peripheral circulation parameters related to the quality of cardiopulmonary resuscitation based on the pulse oximetry waveform, and output relevant information on said peripheral circulation parameters related to the quality of cardiopulmonary resuscitation; The output module, coupled to the blood oxygen module, is used to feed back the relevant information of the peripheral circulation parameters related to the quality of cardiopulmonary resuscitation output by the blood oxygen module. 57. The medical device according to claim 56, wherein the peripheral circulation parameters related to the quality of cardiopulmonary resuscitation include blood oxygen frequency characteristics of the pulse oximetry waveform and peripheral circulation parameters generated by pressing. 58. The medical device according to claim 57, wherein the blood oxygen module separates the constant component and the fluctuating component from the pulse oximetry waveform, based on the fluctuating component of the pulse oximetry waveform or the difference between the fluctuating component and the constant component Ratio, calculate blood oxygen frequency characteristics and peripheral circulation parameters generated by pressing. 59. The medical device according to claim 58, wherein the peripheral circulation parameters generated by pressing include amplitude characteristics of a single pulse wave and/or area characteristics of a single pulse wave. 60. The medical device according to claim 59, wherein the output module is a display module, and the display module displays the waveform diagram of the amplitude characteristic and/or the area characteristic on the display interface, and displays the amplitude characteristic and/or the waveform diagram of the area characteristic The amplitude distribution range limit and/or the area distribution range limit related to the chest compression quality standard value are respectively displayed on the waveform diagram of the or area characteristic. 61. The medical device according to claim 59, wherein the blood oxygen module further calculates the fluctuation value of the amplitude characteristic, and judges whether the fluctuation value of the amplitude characteristic is less than the first set value and whether the amplitude characteristic is within the amplitude distribution range within the limit, if yes, then output first prompt information, the first prompt information is used to remind the user that the current pressing quality is up to standard; or The blood oxygen module also calculates the fluctuation value of the area characteristic, judges whether the fluctuation value of the area characteristic is less than the second set value and whether the area characteristic is within the limit of the area distribution range, and if so, outputs a second prompt message, the second The prompt information is used to prompt the user that the current compression quality is up to standard. 62. The medical device according to any one of claims 59-61, wherein the amplitude characteristic comprises an absolute amplitude value or an amplitude index, the amplitude index being the fluctuation component of the amplified pulse oximetry waveform The ratio of the absolute amplitude value of a single pulse wave to the corresponding DC volume; The area characteristic includes an absolute area value or an area index, and the area index is the ratio of the absolute area value of a single pulse wave of the fluctuation component of the amplified pulse oximetry waveform to the corresponding DC flow. 63. The medical device according to claim 59, further comprising an interactive control interface for connecting to another medical device to realize data communication between the medical device and the other medical device. 64. The medical device according to claim 63, wherein the interactive control interface is also used to control the automatic switching of the function mode of the other medical device, so as to improve the connection between the other medical device and the The accuracy of the interaction between the testers. 65. The medical device according to claim 64, wherein the blood oxygen module evaluates the current quality of cardiopulmonary resuscitation according to the parameter value and/or fluctuation level of the peripheral circulation parameters related to the quality of cardiopulmonary resuscitation, and based on evaluating a result, adjusting a configuration output of said other medical device via said interactive control interface; Wherein, the configuration output includes one or more of the following: compression depth, compression frequency and compression phase. 66. The medical device of claim 64 or 65, wherein the other medical device is a cardiopulmonary resuscitator. 67. The medical device of claim 66, further comprising: A control module, the control module is respectively connected with the interactive control interface and the blood oxygen module signal, at least for controlling the compression frequency and compression depth of the cardiopulmonary resuscitation apparatus; The blood oxygen module also calculates the fluctuation value of the amplitude characteristic, and judges whether the fluctuation value of the amplitude characteristic is less than the first set value and whether the amplitude characteristic is within the limit of the amplitude distribution range. If the fluctuation value of the amplitude characteristic is less than the first set value but If the amplitude characteristic is not within the limit of the amplitude distribution range, the first result information is output to the control module, and the control module controls the cardiopulmonary resuscitator to increase the compression depth according to the first result information. 68. The medical device of claim 66, further comprising: A control module, the control module is respectively connected to the interactive control interface, the blood oxygen module and the output module for signal connection, at least for controlling the compression frequency and compression depth of the cardiopulmonary resuscitation apparatus; The blood oxygen module also calculates the fluctuation value of the area characteristic, and judges whether the fluctuation value of the area characteristic is less than the second set value and whether the area characteristic is within the limit of the area distribution range. If the fluctuation value of the area characteristic is less than the second set value but If the area characteristic does not enter the area distribution range limit, the second result information is output to the control module, and the control module controls the cardiopulmonary resuscitator to increase the compression depth according to the second result information; if the area characteristic enters the area distribution range limit and the area characteristic When the fluctuation value is less than the second set value, the third result information is output to the control module, and the control module controls the cardiopulmonary resuscitator to increase the compression depth according to the third result information, and feeds back the information of the increase compression depth to the blood oxygen module, and the blood oxygen The module calculates the area characteristic of a single pulse wave after increasing the compression depth based on the information feedback, and judges whether the area characteristic of a single pulse wave after increasing the compression depth is the largest, if not, outputs the fourth result information, and if so, outputs the fourth result information. Five result information, the control module controls the cardiopulmonary resuscitation apparatus to increase the compression depth according to the fourth result information, and controls the cardiopulmonary resuscitation apparatus to maintain the current compression depth according to the fifth result information. 69. The medical device according to claim 68, wherein the blood oxygen module further outputs a third prompt message when judging that the area characteristic of a single pulse wave after increasing the compression depth is the largest, and the third prompt The information is used to prompt the user that the subject under test has reached the best compression state of the cardiac output per stroke. 70. Use of the medical device according to any one of claims 56-69 in a cardiopulmonary resuscitation quality feedback control process.

Images