CN112336305A - Method and device for collecting sign data - Google Patents
Method and device for collecting sign data Download PDFInfo
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Abstract
The application discloses a method and a device for acquiring physical sign data, wherein a timing acquisition instruction is sent to an image acquisition device; acquiring a first image acquired by the image acquisition device; identifying a monitor image within the first image; if the identification is successful, acquiring first feature data in the first image; and sending the first characterization data to the monitor, so that the purpose that the anesthesia information system can automatically acquire the physical characterization data of the monitor even if the interface of the monitor is not opened is achieved. This application passes through the vital sign data on the image acquisition device collection monitor, utilizes recognition technology discernment sign data, and give anesthesia information system confession doctor with data timing transfer and confirm, and whether the doctor only needs to confirm data correctly, has reduced the work load that anesthesia doctor frequently types, promotes anesthesia doctor work efficiency.
Description
Technical Field
The application relates to the technical field of computers, in particular to a method and a device for acquiring sign data.
Background
An anesthesiologist in an operating room needs to record the vital sign data (diastolic pressure, systolic pressure, average pressure, heart rate, body temperature, respiratory rate and blood oxygen saturation) of an operating patient every five minutes, and the vital signs are obtained by measuring through a monitor. Usually, the monitor manufacturer provides an interface for a third party to use, but the obtaining of the interface requires a security agreement with the manufacturer. Because there are many monitors, the realization and calling modes of each manufacturer interface are not uniform, and the operation anesthesia information system needs to be docked by one family. Other monitor manufacturers have no longer provided interfaces to other companies. Therefore, the operation anesthesia information system has large workload and high complexity for reading the vital sign data through the interface of the monitor. And some monitors used in hospital operating rooms are purchased at early time, and do not support reading of vital sign data through interfaces.
If the anesthesia information system can not automatically read and record the vital sign data of the surgical patient measured by the monitor, an anesthesia doctor needs to manually input a plurality of vital sign data of the surgical patient measured by the monitor into the anesthesia information system at intervals, so that the workload is increased undoubtedly, and the accuracy rate is difficult to guarantee.
Disclosure of Invention
The application provides a method and a device for collecting sign data, which are used for solving the problems that an interface of the existing monitor is not open, and an anesthesia information system cannot automatically read and record the sign data of the monitor.
In a first aspect, to achieve the above object, the present application provides a method for acquiring physical sign data, where the method includes:
sending a timing acquisition instruction to an image acquisition device;
acquiring a first image acquired by the image acquisition device;
identifying a monitor image within the first image;
if the identification is successful, acquiring first feature data in the first image;
and sending the first authentication data to a monitor.
Further, the identifying a monitor image within the first image comprises:
acquiring a monitor image classifier;
identifying, by the monitor image classifier, a monitor image within the first image.
Further, if the identification is successful, acquiring first feature data in the first image, including:
extracting the sign data in the first image to obtain a sign data extraction set;
acquiring a digital classifier;
and identifying the sign data extraction set through the digital classifier to obtain first sign data.
Further, after the identifying the monitor image in the first image, the method further comprises:
and if the image recognition of the monitor is unsuccessful, acquiring a second image recognized last time.
Further, after the acquiring the second image identified last time, the method further includes:
and confirming whether the monitor image corresponding to the second image is successfully identified.
In a second aspect, the present application further provides a device for collecting sign data, the device comprising:
the instruction sending unit is used for sending a timing acquisition instruction to the image acquisition device;
the image acquisition unit is used for acquiring a first image acquired by the image acquisition device;
an identification unit for identifying a monitor image within the first image;
the sign data acquisition unit is used for acquiring first sign data in the first image if the identification is successful;
and the physical sign data sending unit is used for sending the first physical sign data to the monitor.
Further, the identification unit is further configured to:
acquiring a monitor image classifier;
identifying, by the monitor image classifier, a monitor image within the first image.
Further, the physical sign data obtaining unit is further configured to:
extracting the sign data in the first image to obtain a sign data extraction set;
acquiring a digital classifier;
and identifying the sign data extraction set through the digital classifier to obtain first sign data.
Further, the image acquisition unit is further configured to:
and if the image recognition of the monitor is unsuccessful, acquiring a second image recognized last time.
Further, the identification unit is further configured to:
and confirming whether the monitor image corresponding to the second image is successfully identified.
In a third aspect, to achieve the above object, the present application provides a computer-readable storage medium, on which a computer program is stored, which when executed by an acquirer, implements the steps of the method for vital sign data acquisition of any one of the first aspect.
In a fourth aspect, to achieve the above object, the present application provides a computer device, including a memory, an acquirer, and a computer program stored on the memory and operable on the acquirer, where the acquirer executes the program to implement the steps of any one of the methods for acquiring vital sign data of the first aspect.
According to the technical scheme, the method and the device for acquiring the physical sign data, provided by the embodiment of the application, send the timing acquisition instruction to the image acquisition device; acquiring a first image acquired by the image acquisition device; identifying a monitor image within the first image; if the identification is successful, acquiring first feature data in the first image; and sending the first characterization data to the monitor, so that the purpose that the anesthesia information system can automatically acquire the physical characterization data of the monitor even if the interface of the monitor is not opened is achieved. This application passes through the vital sign data on the image acquisition device collection monitor, utilizes recognition technology discernment sign data, and give anesthesia information system confession doctor with data timing transfer and confirm, and whether the doctor only needs to confirm data correctly, has reduced the work load that anesthesia doctor frequently types, promotes anesthesia doctor work efficiency.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the application.
Drawings
In order to more clearly describe the embodiments of the present application or the technical solutions in the prior art, the drawings needed to be used in the embodiments will be briefly described below, and it is obvious for those skilled in the art that other drawings can be obtained according to these drawings without inventive exercise.
Fig. 1 is a schematic flow chart of a method for acquiring sign data according to an embodiment of the present disclosure;
FIG. 2 is a diagram of a monitor interface provided by an embodiment of the present application;
fig. 3 is a physical sign data table of an anesthesia information system provided in an embodiment of the present application;
fig. 4 is a schematic structural diagram of sign data acquisition according to an embodiment of the present application.
Detailed Description
The features and advantages of the present application will become more apparent and appreciated from the following detailed description of the application.
The word "exemplary" is used exclusively herein to mean "serving as an example, embodiment, or illustration. Any embodiment described herein as "exemplary" is not necessarily to be construed as preferred or advantageous over other embodiments. While the various aspects of the embodiments are presented in drawings, the drawings are not necessarily drawn to scale unless specifically indicated.
In the description of the present application, it should be noted that the terms "upper", "lower", "inner", "outer", "front", "rear", "left" and "right" and the like indicate orientations or positional relationships based on operational states of the present application, and are only used for convenience of description and simplification of description, but do not indicate or imply that the referred device or element must have a specific orientation, be constructed in a specific orientation and be operated, and thus, should not be construed as limiting the present application. Furthermore, the terms "first," "second," "third," and "fourth" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance.
In order to solve the above problems, the present application provides a method and an apparatus for collecting sign data, and the following describes in detail a specific embodiment of the present application with reference to the accompanying drawings.
Fig. 1 is a schematic flowchart of a method for acquiring vital sign data according to an embodiment of the present application, and as shown in fig. 1, the method includes steps S1001 to S1003, and the method is applied to a processor.
S101: and sending a timing acquisition instruction to the image acquisition device.
In specific implementation, an anesthesiologist in an operating room needs to record vital sign data (diastolic pressure, systolic pressure, average pressure, heart rate, body temperature, respiratory rate and blood oxygen saturation) of an operating patient every five minutes, and the vital signs are obtained by measuring through a monitor. In order to facilitate the operating doctor and the anaesthesia doctor to check and record the vital sign data of the patient at any time, the installation position of the monitor is usually obvious and is not easy to be shielded.
Receive instrument equipment interface restriction, this application adopts image collector to gather the sign data that the monitor interface shows, image collector can be for camera etc. can fix the angle or also can remove the rotation. The monitor is usually in a fixed position, the appearance characteristics of the monitor are obvious, and the monitor is easy to locate and identify in the video collected by the camera. The operating room environment light is good, bright and stable, and is favorable for the camera to collect data. The image collector is connected with the processor, receives a timing collection instruction sent by the processor, and starts image collection work according to the timing collection instruction. The timing acquisition instruction is a preset value and is carried out according to specific operation requirements. In addition, the standard range of the physical sign data is required to be preset, the vital signs have normal value ranges, for example, the body temperature is 35-42 ℃, the normal body temperature is 36.2-37.3 ℃, and if the acquired body temperature data exceeds the range of 35-42 ℃, caution is required, and a doctor can take corresponding measures in time.
S102: and acquiring a first image acquired by the image acquisition device.
S103: a monitor image within the first image is identified.
In specific implementation, the image collector shoots the monitor to obtain a first image, the first image should include a monitor image and sign data in a monitor interface, but in specific implementation, other situations may occur, such as a shelter, and a color spot may occur in the collected monitor image, or the position of the monitor may be shifted, and the collected monitor image may be incomplete, so that the monitor image in the first image needs to be identified in the next step.
In a specific implementation, the identifying the monitor image in the first image includes:
s301: and acquiring the image classifier of the monitor.
S302: identifying, by the monitor image classifier, a monitor image within the first image.
The image classifier of the monitor is a trained classifier, a training set of the monitor is firstly established for training the image classifier of the monitor, the training set is divided into a positive sample and a negative sample, the samples are all gray level pictures, the size of the positive sample picture needs to be fixed, and generally about 40 × 40 is required. The negative samples are not fixed in size, and the number of negative samples is larger than that of positive samples. And generating a resource record file after the training set of the monitor is generated, wherein the resource record file comprises a positive sample resource record file and a negative sample resource record file. And then converting the resource record file into a sample vec file, and finally training a classifier by using a relevant program, for example, training the classifier by using an opencv _ traincascade.
And identifying the monitor image in the first image through the obtained monitor image classifier, and if the monitor image identification is successful, namely the outline of the monitor appears at the pixel position in the image, the monitor integrally appears in the first image and the first image does not have a large color block, carrying out the next step of extracting the physical sign data in the monitor image. If the identification is not successful, the reason which is possibly generated by the identification is analyzed, and the analysis result is reported to a doctor for timely adjustment.
S104: and if the monitor image identification is successful, acquiring first feature data in the first image.
Specifically, the first image is converted into a gray value, then into a binary image, and then the binary image is subjected to contour detection. The outline detection represents a connectable region in a binary image as a lump point, and the default outline detection returns a sequence of points, so that the sequence forms a graph to surround all the points of the connected region, for example, four points form a rectangle. Since there are two circles in the number 8, the default contour check will detect both circles, 8 will have three contours, and there may also be numbers 4, 6, 9 in this case. It is therefore necessary to specify that the findContours () function only searches for the outermost contours and not focus on any contours that may appear inside. After the contours are detected, a constraints iterator is used to traverse each contour, and a minimum matrix surrounding the contour is found and drawn. However, the rectangle drawn by the above method is a rotated rectangle, so the bounding rectangle () is selected to be drawn.
During contour detection, detection is not necessarily carried out according to the sequence given by the interface numbers, so that during contour detection, the coordinates of the given numbers are recorded, sorting is carried out according to x and y coordinates, and the numerical sequence is sorted.
Since the rectangles drawn on the same line by the above method are located on the same horizontal plane, the coordinates of a certain point thereof may be directly compared. After digit sorting, each digit can be cut by using the ROI, and the cut digits are sequentially placed in the image array. And finally, placing the numbers cut according to the contour lines in a program file, and comparing by adopting a point-by-point pixel traversal method to finish the extraction of the first characterization data.
In another embodiment, the first image may be cut into small pictures, and then the sign numbers in each small picture are extracted, which is not described herein again.
In specific implementation, if the monitor image recognition is successful, extracting the physical sign data in the monitor image, which may specifically include:
s401: and extracting the sign data in the first image to obtain a sign data extraction set.
S402: a digital classifier is obtained.
S403: and identifying the sign data extraction set through the digital classifier to obtain first sign data.
The method can be used for extracting the sign data in the first image, and then the trained digital classifier is used for identifying the sign data to obtain first feature data, wherein the first feature data are numerical values corresponding to all parameters in the image interface of the monitor. The training of the digital classifier can refer to the training process of the image classifier of the monitor, and is not described in detail herein.
S105: and sending the first authentication data to a monitor.
After the processor obtains the first sign data, before sending to the anesthesia monitor, still need to compare first sign data and normal sign data range, confirm whether in the scope, if exceed the scope, corresponding data adds warning mark, the suggestion gives the doctor. The anesthesia information system receives the relevant sign data, and the doctor confirms whether the sign data acquired this time is the same as the data displayed by the monitor, determines whether the sign data is in a normal value range and is the current real sign data of the patient, so that the workload of frequent recording by the anesthesia doctor is reduced.
S106: and if the image recognition of the monitor is unsuccessful, acquiring a second image recognized last time.
In the specific implementation process, the image acquisition device may be shielded or shifted, or the position of the monitor moves, so that the reason for failure analysis is needed, and a doctor is prompted.
After the second image identified in the previous time is acquired, whether the image identification of the monitor corresponding to the second image is successful or not needs to be confirmed, if the image identification of the monitor corresponding to the second image is failed, whether the operation is finished or not is further determined, if the operation is finished, the process is finished, and if the operation is not finished, the process returns to the step S101 to continue the image acquisition.
And if the monitor image corresponding to the second image is successfully identified, comparing the first image with the second image, and analyzing the reason why the monitor image identification in the first image is unsuccessful.
The method specifically comprises the following steps:
determining whether a large number of color blocks exist in the first image, wherein the area of the color blocks covers the area of the monitor in the second image, and if so, the image collector is shielded;
if not, searching whether the first image and the second image have similar areas, and if not, determining other reasons;
if so, then confirming whether the coordinates of the similar areas are the same or not, and if so, enabling the image collector to be possibly shielded;
if not, the image collector or the monitor may be displaced, resulting in the image collector not being aligned with the monitor.
In particular, if the image collector or the monitor does not move, the contents of the two collected images in the same area should be the same. And intercepting a partial area outside the position of the monitor in the second image, and matching the image content of the area with the position picture content of the first image with the same coordinate. Through intercepting pictures with different sizes and incompatible areas, matching is carried out for multiple times, and if the pictures can be matched once, the alignment position of the camera is proved to possibly not move. But this time the monitor is not identified, possibly because it is occluded.
Corresponding to the embodiment of the remote inquiry method provided by the application, the application also provides an embodiment of a device for acquiring sign data. Referring to fig. 4, a schematic structural diagram of a device for collecting sign data provided in an embodiment of the present application is shown, where the device includes:
an instruction sending unit 100, configured to send a timing acquisition instruction to an image acquirer;
the image acquisition unit 200 is configured to acquire a first image acquired by the image acquirer;
an identification unit 300 for identifying a monitor image within the first image;
a sign data obtaining unit 400, configured to obtain first sign data in the first image if the identification is successful;
a physical sign data sending unit 500, configured to send the first physical sign data to a monitor.
Further, the identification unit 300 is further configured to:
acquiring a monitor image classifier;
identifying, by the monitor image classifier, a monitor image within the first image.
Further, the vital sign data obtaining unit 400 is further configured to:
extracting the sign data in the first image to obtain a sign data extraction set;
acquiring a digital classifier;
and identifying the sign data extraction set through the digital classifier to obtain first sign data.
Further, the image acquiring unit 200 is further configured to:
and if the image recognition of the monitor is unsuccessful, acquiring a second image recognized last time.
Further, the identification unit 300 is further configured to:
and confirming whether the monitor image corresponding to the second image is successfully identified.
Determining whether a large number of color blocks exist in the first image, wherein the area of the color blocks covers the area of the monitor in the second image, and if so, the image collector is shielded;
if not, searching whether the first image and the second image have similar areas, and if not, determining other reasons;
if so, then confirming whether the coordinates of the similar areas are the same or not, and if so, enabling the image collector to be possibly shielded;
if not, the image collector or the monitor may be displaced, resulting in the image collector not being aligned with the monitor.
According to the technical scheme, the method and the device for acquiring the physical sign data, provided by the embodiment of the application, send the timing acquisition instruction to the image acquisition device; acquiring a first image acquired by the image acquisition device; identifying a monitor image within the first image; if the identification is successful, acquiring first feature data in the first image; and sending the first characterization data to the monitor, so that the purpose that the anesthesia information system can automatically acquire the physical characterization data of the monitor even if the interface of the monitor is not opened is achieved. This application passes through the vital sign data on the image acquisition device collection monitor, utilizes recognition technology discernment sign data, and give anesthesia information system confession doctor with data timing transfer and confirm, and whether the doctor only needs to confirm data correctly, has reduced the work load that anesthesia doctor frequently types, promotes anesthesia doctor work efficiency.
According to the method for acquiring the physical sign data, the embodiment of the application also provides a readable storage medium and a computer device. The readable storage medium stores executable program, and the program realizes the steps of the remote inquiry method when being executed by the acquirer; the computer device comprises a memory, an acquirer and an executable program which is stored on the memory and can run on the acquirer, and the steps of the physical sign data acquisition method are realized when the acquirer executes the program.
The present application has been described in detail with reference to specific embodiments and illustrative examples, but the description is not intended to limit the application. Those skilled in the art will appreciate that various equivalent substitutions, modifications or improvements may be made to the presently disclosed embodiments and implementations thereof without departing from the spirit and scope of the present disclosure, and these fall within the scope of the present disclosure. The protection scope of this application is subject to the appended claims.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113647920A (en) * | 2021-10-21 | 2021-11-16 | 青岛美迪康数字工程有限公司 | Method and device for reading vital sign data in monitoring equipment |
| CN115083573A (en) * | 2021-03-11 | 2022-09-20 | 广州视源电子科技股份有限公司 | Physical sign data processing method, apparatus, device and storage medium |
Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20030093503A1 (en) * | 2001-09-05 | 2003-05-15 | Olympus Optical Co., Ltd. | System for controling medical instruments |
| WO2010055205A1 (en) * | 2008-11-11 | 2010-05-20 | Reijo Kortesalmi | Method, system and computer program for monitoring a person |
| CN102098531A (en) * | 2010-12-16 | 2011-06-15 | 东软集团股份有限公司 | Method and device for detecting interference of video camera |
| CN103006195A (en) * | 2013-01-10 | 2013-04-03 | 浙江大学 | Non-contact vital sign data monitoring system and non-contact vital sign data monitoring method on basis of image processing |
| CN103678916A (en) * | 2013-12-12 | 2014-03-26 | 电子科技大学 | Universal method and device for collecting custody data of custody instruments automatically |
| KR20160037643A (en) * | 2014-09-29 | 2016-04-06 | 에스케이텔레콤 주식회사 | Method and Apparatus for Setting Candidate Area of Object for Recognizing Object |
| CN108053872A (en) * | 2017-12-27 | 2018-05-18 | 苏州麦迪斯顿医疗科技股份有限公司 | A dialysis data collection device and collection method thereof |
| CN110334568A (en) * | 2019-03-30 | 2019-10-15 | 深圳市晓舟科技有限公司 | Track generates and monitoring method, device, equipment and storage medium |
| WO2020119450A1 (en) * | 2018-12-14 | 2020-06-18 | 深圳壹账通智能科技有限公司 | Risk identification method employing facial image, device, computer apparatus, and storage medium |
-
2020
- 2020-09-30 CN CN202011055257.9A patent/CN112336305B/en active Active
Patent Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20030093503A1 (en) * | 2001-09-05 | 2003-05-15 | Olympus Optical Co., Ltd. | System for controling medical instruments |
| WO2010055205A1 (en) * | 2008-11-11 | 2010-05-20 | Reijo Kortesalmi | Method, system and computer program for monitoring a person |
| CN102098531A (en) * | 2010-12-16 | 2011-06-15 | 东软集团股份有限公司 | Method and device for detecting interference of video camera |
| CN103006195A (en) * | 2013-01-10 | 2013-04-03 | 浙江大学 | Non-contact vital sign data monitoring system and non-contact vital sign data monitoring method on basis of image processing |
| CN103678916A (en) * | 2013-12-12 | 2014-03-26 | 电子科技大学 | Universal method and device for collecting custody data of custody instruments automatically |
| KR20160037643A (en) * | 2014-09-29 | 2016-04-06 | 에스케이텔레콤 주식회사 | Method and Apparatus for Setting Candidate Area of Object for Recognizing Object |
| CN108053872A (en) * | 2017-12-27 | 2018-05-18 | 苏州麦迪斯顿医疗科技股份有限公司 | A dialysis data collection device and collection method thereof |
| WO2020119450A1 (en) * | 2018-12-14 | 2020-06-18 | 深圳壹账通智能科技有限公司 | Risk identification method employing facial image, device, computer apparatus, and storage medium |
| CN110334568A (en) * | 2019-03-30 | 2019-10-15 | 深圳市晓舟科技有限公司 | Track generates and monitoring method, device, equipment and storage medium |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115083573A (en) * | 2021-03-11 | 2022-09-20 | 广州视源电子科技股份有限公司 | Physical sign data processing method, apparatus, device and storage medium |
| CN113647920A (en) * | 2021-10-21 | 2021-11-16 | 青岛美迪康数字工程有限公司 | Method and device for reading vital sign data in monitoring equipment |
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Application publication date: 20210209 Assignee: GUANGZHOU QISHENG INFORMATION TECHNOLOGY Co.,Ltd. Assignor: GUIYANG LONGMASTER INFORMATION & TECHNOLOGY Co.,Ltd. Contract record no.: X2025980008830 Denomination of invention: A method and device for collecting vital sign data Granted publication date: 20241115 License type: Common License Record date: 20250515 |