CN106691498A - Borborygmus processing system - Google Patents
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- A—HUMAN NECESSITIES
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Abstract
The invention provides a borborygmus processing system, which is applied to process the patient's borborygmus data. The borborygmus processing system comprises a monitoring device, a server remotely connected with the monitoring device; a plurality of clients; the monitoring device comprises a collecting unit, which is used for pasting at the monitoring part of a human body so as to collect the borborygmus data of the human body; a data compression treatment unit, which is connected with the collecting unit and used for compressing and storing the acquired borborygmus data; a data transmission unit, which is used for sending the treated borborygmus data to the remotely connected server; multiple clients are used for connecting with the server, and the account information provided by the client is verified by the server, the client acquires the authority granted by the server and corresponding to the account for operating the borborygmus data. The borborygmus processing system has the beneficial effect of facilitating the timely visit of the client connected with the server, and overcoming the shortcoming that the time waste of treatment depended on the background server is long for the borborygmus data is not flexible.
Description
Technical Field
The invention relates to the technical field of communication, in particular to an bowel sound processing system.
Background
The bowel sound is one of the most important sign signals of the human body, is the sound generated by friction and impact between intestinal contents and between the intestinal contents and the intestinal wall caused by the movement of the small intestine of the human body, and is the reflection of the movement state of the small intestine. The bowel sound is not regular like heart sound and lung sound, and the aperiodicity and randomness are strong, so that great difficulty is brought to clinical diagnosis and medical research. At present, the medical diagnosis mode and research method for the bowel sound only stay in the form of abdominal auscultation.
With the development of medical science and the progress of scientific technology, people's understanding on bowel sounds is deepened gradually, and the physical sign of bowel sounds is more and more emphasized by people, so people begin to research some intelligent medical equipment capable of collecting and identifying bowel sounds, and part of the schemes can realize the identification of bowel sounds, but the identification method needs to be processed by a special data background server, the collection equipment cannot be used alone, the limitation is large, and the equipment is not intelligent enough, so that the sharing and further development and utilization of resource information are not facilitated.
Disclosure of Invention
Aiming at the problems of the collection of the bowel sound data and the processing of the bowel sound data in the prior art, the aims of accurately collecting the bowel sound data and timely processing the bowel sound data are provided, and the defect that the processing of the bowel sound data in the prior art is not flexible enough and the processing at a background service end consumes a long time is overcome.
The specific technical scheme is as follows:
a bowel sound processing system is applied to the processing of bowel sound data of a patient, and comprises the following components:
the system comprises a monitoring device and a server side remotely connected with the monitoring device;
the plurality of clients are respectively connected with the server;
the monitoring device includes:
the acquisition unit is attached to the skin surface of a human body, is correspondingly attached to a monitoring part capable of detecting the bowel sound data on the human body, and is used for being attached to the detection part of the human body so as to acquire the bowel sound data of the human body;
the data compression processing unit is connected with the acquisition unit and used for compressing and storing the acquired borborygmus data;
the data transmission unit and the data compression processing unit are used for sending the processed bowel sound data to the remotely connected server;
the plurality of clients are used for connecting the server, after the clients pass the account verification of the server,
and acquiring the corresponding authority of the server for operating the borygmus data to the account, and operating the borygmus data according to the authority.
Preferably, the acquisition unit mainly comprises four sensors;
each sensor is arranged in an electret structure;
one of the four sensors collects environmental noise, and the other three sensors are used for collecting the borborygmus data of the human body.
Preferably, each sensor provides an abdomen patch, the abdomen patch comprises a front surface and a back surface, the sensor is arranged on one surface of the abdomen patch, and the other surface of the abdomen patch is used for being applied to a detection part of a human body.
Preferably, the monitoring device comprises an input control unit, and the input control unit is connected with the data compression processing unit;
the input control unit provides the user with input of patient information;
the patient information includes: bed number, system time and acquisition timing data;
the data compression processing unit binds the patient information and the corresponding borborygmus data, and stores the patient information and the corresponding borygmus data in the remote server side in a related mode through the data transmission unit.
Preferably, the monitoring device comprises a data acquisition and processing unit, and the data acquisition and processing unit is connected with the acquisition unit;
the data acquisition and processing unit is used for providing a first preset algorithm to perform noise reduction processing on the borborygmus data acquired by the acquisition unit;
the data acquisition and processing unit also provides a second preset algorithm to correspondingly identify the borborygmus data subjected to noise reduction so as to classify and store the acquired borborygmus data.
Preferably, the monitoring device comprises a display unit, and the display unit is connected with the compression storage unit and used for displaying the working state of the monitoring device.
Preferably, the monitoring device comprises a data exception handling unit, and the data exception handling unit is connected with the acquisition unit and used for reminding a user in the form of alarm information when the monitoring device is abnormal in work.
Preferably, the server comprises a storage unit;
the storage unit provides a database, and the first database is used for storing the patient information and the borborygmus data of the patient in a correlation manner.
Preferably, the server includes a sharing platform, and the sharing platform is used for the user of the client to share the borborygmus data.
Preferably, the server includes a streaming media processing unit connected to the storage unit, and the streaming media processing unit is configured to send the bowel sound data received from the monitoring device to the client in real time.
The technical scheme has the following advantages or beneficial effects: the monitoring device can be used for carrying out body processing and storing on the collected bowel sound data, and can also be used for sending the processed data to the server, so that the client connected with the server can access the server in time conveniently, and the defect that the bowel sound data processing in the prior art is not flexible enough and depends on the background server to process time-consuming and long is overcome.
Drawings
Embodiments of the present invention will now be described more fully hereinafter with reference to the accompanying drawings. The drawings are, however, to be regarded as illustrative and explanatory only and are not restrictive of the scope of the invention.
FIG. 1 is a schematic structural diagram of an embodiment of a bowel sound processing system according to the present invention;
FIG. 2 is a schematic diagram of a monitoring device according to an embodiment of the bowel sound processing system of the present invention;
FIG. 3 is a schematic diagram of a collecting unit according to an embodiment of the bowel sound processing system of the present invention;
FIG. 4 is a schematic diagram of a sensor according to various embodiments of the bowel sound processing system of the present invention;
FIG. 5 is a schematic diagram of an amplifying circuit in a sensor according to various embodiments of the bowel sound processing system of the present invention;
FIG. 6 is a schematic diagram of a low pass filter circuit in a sensor according to various embodiments of the present invention;
FIG. 7 is a block diagram of an adaptive algorithm prototype in accordance with various embodiments of the bowel sound processing system;
fig. 8 is a block diagram of adaptive algorithm for noise cancellation according to various embodiments of the bowel sound processing system of the present invention.
The reference numerals denote:
1. a monitoring device; 2. a server side; 3. a client; 11. a collection unit; 12. a data compression processing unit; 13. a data transmission unit; 14. an input control unit; 15. a data acquisition processing unit; 16. a data exception handling unit; 21. a storage unit; 111. a sensor; A. a display unit; a1, a shell; a2, a septum; a3, electret; a5, back electrode; a4, air space; a6, built-in circuit; .
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
It should be noted that the embodiments and features of the embodiments may be combined with each other without conflict.
The invention is further described with reference to the following drawings and specific examples, which are not intended to be limiting.
The technical scheme of the invention comprises an intestinal sounding processing system.
As shown in fig. 1, an embodiment of a bowel sound processing system for processing bowel sound data of a patient includes:
the monitoring device 1 and the server 2 are remotely connected with the monitoring device 1;
a plurality of clients 3 connected to the server 2;
the monitoring device 1 includes:
the acquisition unit (11) is provided with a plurality of acquisition units,
the acoustic detector is pasted on the skin surface of a human body, is correspondingly pasted on a monitoring part which can detect the bowel sound data of the human body, and is used for collecting the bowel sound data of the human body; the data compression processing unit 12 is connected with the acquisition unit 11 and used for compressing and storing the acquired borborygmus data;
the data transmission unit 13 and the data compression processing unit 12 are used for transmitting the processed bowel sound data to the remotely connected server 2;
the plurality of clients 3 are used for connecting the server 2, and after the clients 3 pass account verification of the server 3, the clients 3 acquire the right of the server 2 to operate the borygmus data corresponding to the account, and operate the borygmus data according to the right.
The traditional bowel sound monitoring device 1 only provides collected bowel sound data for a server 2 connected with a background to be processed, a user cannot timely acquire the processed bowel sound data and is inconvenient to monitor the bowel sound data of a patient in real time, aiming at the problems, the device is pasted on a detection part of a human body through a collection unit 11, wherein the collection data can be accurately fixed by a pasting detection mode, the collection unit 11 outputs the collected bowel sound data to a data compression processing unit 12, the collected bowel sound data is compressed through the data compression processing unit 12, the generally collected bowel sound data is large, so the data compression processing unit 12 can process the bowel sound data in a format by adopting an ADPCM compression algorithm, and the sampling frequency is as high as 44.1 KHz;
after the bowel sound data is processed, the processed bowel sound data is stored in a local memory, the local memory can adopt an SD/MS card, and in order to ensure that the bowel sound data of a patient is monitored in real time, the processed bowel sound data can be sent to the server 2 through the data transmission unit 13; the bowel sound data is stored in the server 2, so that the client 3 of users with different identities can access the data in the server 2 conveniently, the server 2 can endow different operation authorities to the account of the client 3, and after the account of the client 3 is verified by the server 2, the corresponding bowel sound data can be accessed in the server 2 according to the authority granted by the server 2, wherein the account of the client 3 can comprise a patient, a doctor and a manager;
it should be noted that the data transmission unit 13 may transmit the borborygmus data and other information of the patient to the server 2 by way of WiFi, 3/4G, bluetooth or ethernet connection;
the server 2 may provide arithmetic processing for the borygmus data stored therein in the form of a cloud service.
In a preferred embodiment, as shown in fig. 3, the acquisition unit 11 is mainly composed of a four-way sensor 111;
each sensor 111 is set to be an electret type structure, one of the four sensors 111 collects environmental noise, and the other three sensors 111 are used for collecting bowel sound data of a human body.
In the above technical solution, as shown in fig. 4, the sensor 111 may adopt an electret structure, and has high sensitivity to low-frequency signals;
the structure of the sensor 111 in the above technical solution includes;
a hemispherical shell a1, wherein the shell is made of sound insulation material;
the diaphragm a2 is arranged at the bottom of the shell a1 in the direction back to the spherical surface, and a sealed accommodating space is formed in the shell a 1;
the electret a3 is arranged in the accommodating space and positioned above the diaphragm a 2;
a back electrode a5 disposed above the electret;
an air gap a4 disposed between the electret a3 and the back electrode a 5;
the built-in circuit a6 is disposed in the accommodating space and connected with the back electrode a 5.
As shown in fig. 5 to 6, the built-in circuit a6 in the sensor 111 includes an amplifier circuit and a low-pass filter circuit, and can collect weak bowel sound signals (the bowel sound frequency is generally concentrated at 60Hz to 1500 Hz).
The device adopts the four-way sensor 111, one way collects environmental noise, and the three ways collect bowel sounds, thereby increasing the collection area, improving the collection success rate, and solving the problems of difficult signal collection and weak collected signals;
it should be noted that the monitoring device 1 is not limited to be placed in a fixed position for operation, but is portable and movable.
In a preferred embodiment, each sensor 111 provides an abdomen patch, the abdomen patch comprises a front surface and a back surface, the front surface and the back surface are both provided with adhesive layers, the sensor 111 is arranged on one surface of the abdomen patch, and the other surface of the abdomen patch is adhered to a detection part of a human body.
Among the above-mentioned technical scheme, the belly pastes and adopts two-sided self-adhesion silica gel solid state material, when needs gather human detection position, will be provided with viscose layer one side belly and paste in the test site, and sensor 111 sets up in the belly and pastes the another side, above-mentioned design easy operation, safe and reliable enables sensor 111 and skin and can be better contact, has solved the insecure, not hugging closely of waistband formula fixed sensor 111, has worn the difficulty scheduling problem.
In a preferred embodiment, the monitoring device 1 includes an input control unit 14, and the input control unit 14 is connected to the data compression processing module for controlling the on/off of the monitoring device 1.
In a preferred embodiment of the present invention,
the monitoring device comprises an input control unit 14, and the input control unit 14 is connected with the data compression processing unit 12;
the input control unit 14 provides the user with input of patient information;
the patient information includes: bed number, system time and acquisition timing data;
the data compression processing unit 12 binds the patient information with the corresponding bowel sound data, and stores the patient information and the corresponding bowel sound data in the remote server 2 through association of the data transmission unit 13.
In the technical scheme, the input patient information can also comprise information such as the age, the sex and the region of the patient, the patient information is bound with the borborygmus data, the server 2 can conveniently analyze and process the bound data, and meanwhile, the data base is provided for medical research.
In a preferred embodiment, as shown in fig. 2, the monitoring device 1 includes a data acquisition processing unit 15, the data acquisition processing unit 15 is connected to the acquisition unit 11;
the data acquisition processing unit 15 is used for providing a preset algorithm to identify the bowel sound data acquired by the acquisition unit 11, so as to classify and store the acquired bowel sound data.
In the technical scheme, the data acquisition and processing unit 15 mainly controls the acquisition unit 11 to convert the analog signals of the acquired bowel sound data into digital signals, and after amplification processing, the characteristics of the bowel sound data are identified by adopting a preset algorithm including an ambient noise removing algorithm and a bowel sound characteristic algorithm, wherein the characteristics include frequency and loudness;
it should be noted that the bowel sound feature algorithm is an algorithm designed mainly for the frequency and loudness in bowel sounds.
The following specific embodiment is provided for noise removal and bowel sound data feature extraction, wherein the algorithm execution sequence is that firstly, denoising processing is performed on the acquired bowel sound data through a first preset algorithm, namely noise removal, and then feature extraction is performed on the denoised bowel sound data through a second preset algorithm, namely bowel sound feature algorithm, and the specific embodiment is as follows:
carrying out denoising process on the collected borborygmus data:
the basic principle adopts audio self-adaptive active noise reduction: the four-way sensor 111 collects environmental noise, namely reference noise, and collects bowel sounds, namely superposition of bowel sound data signals and noise, and the three-way sensor has the same working principle and is used as a way of description of the same class;
according to the self-adaptive VSSLMS algorithm, the noise reduction system utilizes the reference noise of one path to offset the noise of the other path and outputs a useful signal. Compared with passive noise reduction, active noise reduction can adjust parameters of the active noise reduction according to changes of input signals, and noise is removed more effectively. Compared with a classical filter (high-pass, low-pass and the like), the adaptive filter of the active noise reduction system can remove noise with the same frequency as a useful signal;
the algorithm implements a general expression for the adaptive active noise reduction system error:
e(n)＝d(n)-y(n) (1)
y (n) is the signal associated with background noise x (n), then
e(n)＝d(n)-w(n)xT(n) (2)
Wherein w (n) ═ w0,w1,....,wL],x(n)＝[x(n),x(n-1),....,x(n-L)]And L denotes the order of the filter. y (n) can be calculated by selecting the optimal weight w (n) of the optimal FIR wiener filter, i.e.
Wherein x (n-i) is obtained by delaying x (n).
Fig. 7 is a schematic block diagram of a general prototype of the adaptive algorithm. Where s (n) is the desired signal and v (n) is the background noise. The desired signal d (n), i.e. the signal to be processed, is composed of the useful signal s (n) and the background noise v (n), and s (n) and v (n) are uncorrelated. The input signal x (n) is actually the reference signal s' (n) associated with s (n) in d (n). Equation (1) can then be converted into:
e(n)＝(s(n)+v(n))-w(n)s′(n)T
wherein, s' (n)T＝[s′(n),s′(n-1),...s′(n-L)]T。
As shown in FIG. 8, which is a block diagram of the adaptive noise cancellation principle based on the wiener filter, equation (1) can be converted into
e(n)＝(s(n)+v(n))-w(n)v′(n)T
Where s (n) and v (n) are uncorrelated, v' (n)T＝[v′(n),v′(n-1),...,v′(n-L)]T. The input signal x (n) is actually the reference signal v' (n) associated with v (n) in d (n).
In the noise cancellation system e (n) is substantially the useful signal s' (n) after the noise is cancelled by the signal to be processed. The useful signal is not identical to the useful signal s (n) in the signal source, because the coefficients passing through the filter can only approximate the optimal solution, and the signal output by the processing can only approximate the original useful signal.
The collected signals are subjected to noise cancellation by using a VSSLMS algorithm. The algorithm steps of fig. 7 and 8 are shown in table 1 below.
TABLE 1 VSSLMS Algorithm step comparison
Wherein s isT＝[s(n),s(n-1),...s(n-L)]T,vT＝[v(n),v(n-1),...,v(n-L)]T。
It can thus be seen that: the VSSLMS algorithm is used in a noise cancellation system, and actually performs role exchange between a signal source and a noise source. The overall algorithm steps are not changed greatly, only the input signals are different, and the interior of the filter is not changed. The algorithm of noise reduction is simple to calculate and easy to realize.
The process of extracting the characteristics of the denoised bowel sound data comprises the following steps:
according to the basic principle, in order to realize rapid and accurate analysis of bowel sound, frequency spectrum analysis is carried out on bowel sound signals, a db6 wavelet function with high energy concentration and good local characteristics is used as a wavelet packet mother function, an optimal basis suitable for bowel sound signal analysis is selected, 4-layer wavelet packet decomposition is carried out on different types of bowel sound signals, and a wavelet packet coefficient of the optimal basis is obtained. And extracting the normalized energy of the optimal fundamental frequency band as a feature vector of the bowel sound according to the equivalent relation of the wavelet packet coefficient and the signal energy on the time domain. And calculating the separability measure mean value of various bowel sound characteristics by adopting a category separability criterion.
The specific algorithm is executed as follows:
the selection of the wavelet packet mother function directly influences the analysis precision of signals, and the time-frequency analysis of the bowel sounding signals requires that the time locality of the wavelet packet mother function is good and the energy concentration is high. The Daubechies wavelet has good local characteristics, can well extract useful signal components in various transient waveforms, and finally selects db6 tightly-supported orthogonal wavelets as wavelet packet mother functions through repeated tests and comparison.
The support region in the wavelet function ψ (t) and the scale function φ (t) corresponding to the db6 wavelet is 11, and the vanishing moment order of ψ (t) is 6. The db6 wavelet has no explicit expression, and its square modulus of the transfer function h is given by the equation (1):
wherein,are binomial coefficients.
Wavelet packet algorithm
On the basis of wavelet multi-resolution analysis theory, a scale function phi (t) is recorded as u0(t) the wavelet function ψ (t) is denoted as u1(t), then from the two-scale equation:
defined set of functions un(t)}n∈ZIs called by u0(t) phi (t), where h (k), g (k) are conjugate filter coefficients.
Feature extraction
From Parseval equation:
it can be known that the wavelet transform coefficient Cj,kThe dimension with energy can be used for energy analysis. Since the bowel sound signals of different heart diseases have different energy distributions in the respective decomposition frequency bands, the energy of the wavelet packet coefficient can be used as the feature vector of the bowel sound signal.
Category separability criterion
Feature set { a) composed for same class of featuresiI is 1, 2, … k, and its inter-class distance is one of the important indicators for measuring pattern separability. The square of the intra-class distance is defined as the mean square of the distance between the feature vectors in the set:
for two types of feature sets { a }i，i＝1，2，…kaAnd { b }andj，j＝1，2，…kbWherein a isi∈ class A, bj∈ B, the square of the distance between class A and class B is:
it can be seen that if a certain feature extraction means that the inter-class distance can be made larger and the intra-class distance is made smaller, the extraction method is said to be good. Unifying the intra-class distance and the inter-class distance, and defining the separability measure as follows:
it can be used as an index for measuring the separability between different classes. J. the design is a squareA,BThe larger the size, the better the separability between class A and class B; j. the design is a squareA,BThe smaller the size, the more between class A and class BThe poorer the separability.
In a preferred embodiment, the monitoring device 1 comprises a display unit, which is connected to the compression storage unit 21 for displaying the operating state of the monitoring device 1.
In the technical scheme, the display unit can adopt an LCD or LED display screen, the display content of the display unit also comprises real-time collected borborygmus data, the transmission working state of the transmission unit is output, and the system time of the device 1 is monitored;
the system also comprises a starting lamp of the monitoring device 1, a working lamp of the acquisition unit 11 and an output transmission working lamp.
The monitoring device 1 of the present invention further comprises a power management unit for providing power to other units in the monitoring device 1.
In a preferred embodiment, the monitoring device 1 includes a data exception handling unit 16, and the data exception handling unit 16 is connected to the acquisition unit 11 for reminding the user in the form of an alarm message when the monitoring device 1 is abnormal in operation.
Among the above-mentioned technical scheme, the abnormity that monitoring devices 1 work and appear includes, the battery does not have the electricity, sensor 111 does not connect etc. its alarm information mainly shows corresponding alarm information content through display element, if "battery power is not enough", "sensor is not connected". In a preferred embodiment, the server 2 comprises a storage unit 21;
the storage unit 21 provides a database for storing patient information of the patient and the borborygmus data in association with each other, wherein the database further includes characteristics of the borygmus data, such as frequency and sound.
Bowel sound data from medical studies, where bowel sound data is primarily rare, and thus has bowel sound data from medical studies
The unit time 21 database is stored, and the third database stores the borborygmus data for teaching, wherein the borygmus data for teaching can be combined with case information of related patients, so that teaching explanation is facilitated.
In a preferred embodiment, the server 2 includes a sharing platform for users of the client 3 to share the borborygmus data.
In the above technical solution, the shared platform is provided for users between different clients 3 to communicate, learn and discuss the borborygmus data.
In a preferred embodiment, the server 2 includes a streaming media processing unit connected to the storage unit 21, and the streaming media processing unit is configured to send the bowel sound data received from the monitoring device 1 to the client 3 in real time.
In the above technical solution, the client 3 may include a mobile phone, a tablet computer, a personal computer, etc., wherein after the client 3 passes the verification in the server 2 through the account information, the client 3 may access the relevant data according to the authority granted by the server 2, including accessing different databases to view and obtain the relevant borygmus data and the patient information, etc.;
the method further comprises the step that the client 3 sends a control instruction to the server 2 remotely, and the server 2 forms the corresponding control information value monitoring device 1 according to the control instruction so as to control the monitoring device 1 to be turned on or turned off or control the acquisition unit 11 to be turned on or turned off.
While the invention has been described with reference to a preferred embodiment, it will be understood by those skilled in the art that various changes in form and detail may be made therein without departing from the spirit and scope of the invention.
Claims (10)
1. A bowel sound processing system applied to processing bowel sound data of a patient, comprising:
the system comprises a monitoring device and a server side remotely connected with the monitoring device;
the plurality of clients are respectively connected with the server;
the monitoring device includes:
the acquisition unit is attached to the surface of the skin of a human body, is correspondingly attached to a monitoring part which can detect the bowel sound data on the human body, and is used for acquiring the bowel sound data of the human body;
the data compression processing unit is connected with the acquisition unit and used for compressing and storing the acquired borborygmus data;
the data transmission unit and the data compression processing unit are used for sending the processed bowel sound data to the remotely connected server;
the plurality of clients are used for connecting the server;
and after the client passes the account verification of the server, acquiring the corresponding authority of the server for operating the borygmus data to the account, and operating the borygmus data according to the authority.
2. The bowel sounds processing system as claimed in claim 1, wherein said acquisition unit is comprised of four sensors;
each sensor is arranged in an electret structure;
one of the four sensors collects environmental noise, and the other three sensors are used for collecting the borborygmus data of the human body.
3. The bowel sound treatment system of claim 2, wherein each of the sensors provides a patch, the patch including opposing faces, one face of the patch being provided with the sensor and the other face of the patch being adapted to be applied to a monitored area of a human body.
4. The bowel sound processing system according to claim 1, wherein said monitoring device includes an input control unit, said input control unit being connected to said data compression processing unit;
the input control unit provides the user with input of patient information;
the patient information includes: bed number, system time and acquisition timing data;
the data compression processing unit binds the patient information and the corresponding borborygmus data, and stores the patient information and the corresponding borygmus data in the remote server side in a related mode through the data transmission unit.
5. The bowel sound processing system according to claim 1, wherein the monitoring device comprises a data acquisition and processing unit, the data acquisition and processing unit being connected to the acquisition unit;
the data acquisition and processing unit is used for providing a first preset algorithm to perform noise reduction processing on the borborygmus data acquired by the acquisition unit;
the data acquisition and processing unit also provides a second preset algorithm to correspondingly identify the borborygmus data subjected to noise reduction so as to classify and store the acquired borborygmus data.
6. The bowel sound processing system according to claim 1, wherein the monitoring device comprises a display unit, and the display unit is connected to the data compression processing unit for displaying the operating status of the monitoring device.
7. The bowel sound processing system according to claim 1, wherein the monitoring device comprises a data abnormality processing unit, and the data abnormality processing unit is connected with the acquisition unit and is used for reminding the user in a warning message manner when the monitoring device is abnormal in operation.
8. The bowel sound processing system according to claim 4, wherein the server comprises a storage unit;
the storage unit provides a database, and the database is used for storing the patient information and the borborygmus data of the patient in a correlation mode.
9. The bowel sound processing system of claim 7, wherein the server comprises a shared platform, and the shared platform is used for users of the clients to share the bowel sound data.
10. The bowel sound processing system according to claim 7, wherein the server comprises a streaming media processing unit connected to the storage unit, the streaming media processing unit being configured to send the bowel sound data received from the monitoring device to the client in real time.
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