CN116919369B - Intelligent multimode sphygmomanometer integrating multiple measuring methods - Google Patents
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- 206010020772 Hypertension Diseases 0.000 claims description 3
- 208000001953 Hypotension Diseases 0.000 claims description 3
- 210000004204 blood vessel Anatomy 0.000 claims description 3
- 238000002555 auscultation Methods 0.000 description 4
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- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/02—Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
- A61B5/021—Measuring pressure in heart or blood vessels
- A61B5/022—Measuring pressure in heart or blood vessels by applying pressure to close blood vessels, e.g. against the skin; Ophthalmodynamometers
- A61B5/0225—Measuring pressure in heart or blood vessels by applying pressure to close blood vessels, e.g. against the skin; Ophthalmodynamometers the pressure being controlled by electric signals, e.g. derived from Korotkoff sounds
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- A—HUMAN NECESSITIES
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- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/02—Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
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- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/02—Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
- A61B5/021—Measuring pressure in heart or blood vessels
- A61B5/02108—Measuring pressure in heart or blood vessels from analysis of pulse wave characteristics
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/02—Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
- A61B5/021—Measuring pressure in heart or blood vessels
- A61B5/022—Measuring pressure in heart or blood vessels by applying pressure to close blood vessels, e.g. against the skin; Ophthalmodynamometers
- A61B5/02233—Occluders specially adapted therefor
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Abstract
The invention discloses an intelligent multimode sphygmomanometer integrating multiple measuring methods, and belongs to the technical field of blood pressure detection. According to the invention, through the sleeve belt or the wrist belt, the blood pressure of the user can be measured in two measuring modes according to the use requirement of the user, so that the functional diversity of the device is improved; the pulse frequency data of the user before the blood pressure measurement can be conveniently obtained through the arranged detection module before the measurement, so that the problem that the blood pressure measurement result is inaccurate due to overlarge pulse fluctuation of the user is avoided; through the ligature position detection module and the data processing module, the ligature position of the cuff or the wrist strap can be conveniently detected, and the blood pressure detection error caused by inaccurate ligature position of the cuff or the wrist strap is avoided.
Description
Technical Field
The invention relates to the technical field of blood pressure detection, in particular to an intelligent multimode sphygmomanometer integrating multiple measuring methods.
Background
The sphygmomanometer is an instrument for measuring blood pressure, also called a sphygmomanometer. The sphygmomanometer mainly comprises an auscultation method sphygmomanometer and an oscillography method sphygmomanometer. The auscultation method sphygmomanometer mainly comprises the following steps: the oscillometric method is also called an oscillation method, and the principle of the oscillometric method is to obtain oscillation waves generated in the deflation process and convert the oscillation waves into blood pressure values through a certain algorithm.
The clinical method for measuring the blood pressure of the human body is divided into two types of invasive measurement and noninvasive measurement, because of the great difficulty of invasive operation, except for critical patients and invasive measurement of the blood pressure in the operation process, the noninvasive measurement method is used in most of the other times, and the gold standard of the noninvasive measurement of the blood pressure result is a Korotkoff sound auscultation method. The Korotkoff sound auscultation method is a blood pressure measurement technical standard approved by international authorities such as the world health organization, and is also a blood pressure measurement method commonly used by doctors in a long period of time.
The current common third generation electronic sphygmomanometer mainly adopts a measurement technology (MWI technology) during pressurization, performs uniform-speed pressurization through an air pump (servo control) and an exhaust valve (electronic control exhaust valve), and performs measurement of blood pressure through an air pressure sensor in the pressurization process.
Although the electronic blood pressure meter has good portability, the measured blood pressure value is not accurate enough easily due to improper operation during use, and the problem needs to be solved. Therefore, an intelligent multimode sphygmomanometer integrating various measuring methods is provided.
Disclosure of Invention
The technical problems to be solved by the invention are as follows: how to solve the problem that the measured blood pressure value is inaccurate due to improper operation when the traditional electronic sphygmomanometer is used, and an intelligent multimode sphygmomanometer integrating multiple measuring methods is provided.
The invention solves the technical problems through the following technical scheme that the invention comprises a pre-measurement detection module, a front end detection module, a binding position detection module and a data processing module;
the pre-measurement detection module is used for detecting the pulse frequency of the user before blood pressure measurement is carried out, and acquiring a real-time pulse frequency value of the user;
the front end detection module is used for detecting the blood pressure of a user through a cuff or a wrist strap and acquiring a real-time blood pressure signal of the user;
the binding position detection module is used for detecting the positions of cuffs or wristbands bound by a user;
the data processing module is used for performing pulse frequency judgment, blood pressure value calculation, cuff binding position judgment and wristband binding position judgment.
Further, the pre-measurement detection module comprises a pulse sensor and a first analog-to-digital conversion unit; the pulse sensor is used for measuring pulse frequency electric signals of a user at the fingertips of the user in a clamping mode; the first analog-to-digital conversion unit is used for performing analog-to-digital conversion on the pulse frequency electric signal, converting the pulse frequency electric signal into a pulse frequency value and sending the pulse frequency value to the data processing module.
Further, the pulse sensor is a fingertip pulse sensor.
Further, the front end detection module comprises a cuff or a wrist strap, a connecting pipe and a second analog-to-digital conversion unit; the cuff or wristband is bound on the upper arm or wrist of the user; one end of the connecting pipe is communicated with the cuff or the wrist strap, and the other end of the connecting pipe is connected with the air pressure sensor and is used for converting the blood pressure state of a blood vessel at the upper arm part or the wrist part into an electric signal so as to acquire the blood pressure electric signal at the upper arm part or the wrist part; the second analog-to-digital conversion unit is used for performing analog-to-digital conversion on the blood pressure electric signal at the upper arm part or the wrist part, converting the blood pressure electric signal into a blood pressure value and sending the blood pressure value to the data processing module.
Further, the binding position detection module comprises a first image acquisition unit, a first image preprocessing unit and a first target identification unit; the first image acquisition unit is used for shooting the upper arm and the inner side of the elbow of the user when the user selects the cuff to measure, and acquiring a first image containing the transverse line area of the inner side of the elbow and the complete cuff; the first image preprocessing unit is used for carrying out noise reduction and enhancement processing on the first image; the first target recognition unit is used for carrying out target recognition on the elbow inner lateral line region and the cuff of the first image after noise reduction and enhancement processing through the first recognition model, acquiring an elbow inner lateral line region detection frame and a cuff detection frame, further acquiring coordinate values of all points on each side line of the elbow inner lateral line region detection frame and the cuff detection frame under an image coordinate system, and sending the coordinate values of all points on each side line of the elbow inner lateral line region detection frame and the cuff detection frame under the image coordinate system to the data processing module.
Further, the binding position detection module further comprises a second image acquisition unit, a second image preprocessing unit and a second target identification unit; the second image acquisition unit is used for shooting the wrist of the user when the user selects the wrist strap to measure, and acquiring a second image comprising the wrist inner lateral line area and the complete wrist strap; the second image preprocessing unit is used for carrying out noise reduction and enhancement processing on the second image; the second target recognition unit is used for performing target recognition on the wrist inner lateral line region and the wrist strap of the second image after noise reduction and enhancement processing through the second recognition model, acquiring a wrist inner lateral line region detection frame and a wrist strap detection frame, further acquiring coordinate values of all points on each side line of the wrist inner lateral line region detection frame and the wrist strap detection frame under an image coordinate system, and transmitting the coordinate values of all points on each side line of the wrist inner lateral line region detection frame and the wrist strap detection frame under the image coordinate system to the data processing module.
Further, the data processing module comprises a pulse frequency judging unit, a blood pressure value calculating unit, a first position analyzing unit and a second position analyzing unit; the pulse frequency judging unit is used for judging whether the pulse frequency of the user is stable according to the pulse frequency change of the user, if so, allowing the subsequent blood pressure measurement work to be performed, otherwise, not allowing the subsequent blood pressure measurement work to be performed; the blood pressure value calculation unit is used for calculating the current blood pressure value of the patient according to the blood pressure value measured by the upper arm or the wrist of the user in a set time to obtain the current blood pressure value data of the user; the first position analysis unit is used for judging whether the cuff binding position is accurate according to coordinate values of all points on each side line of the elbow inner lateral line region detection frame and the cuff detection frame under an image coordinate system, displaying information whether the cuff binding position is accurate or not on a display control interface, and prompting a user; the second position analysis unit is used for judging whether the wristband binding position is accurate according to coordinate values of all points on each edge line of the wrist inner lateral line area detection frame and the wrist band detection frame under an image coordinate system, displaying information of whether the wristband binding position is accurate on a display control interface and prompting a user.
Further, in the pulse frequency judging unit, when the pulse frequency value variation of the user does not exceed 5 times/min in the continuous set time, the pulse frequency is stable;
in the blood pressure value calculation unit, the blood pressure value is divided into a high pressure value H and a low pressure value L, and the calculation formulas of the high pressure value H and the low pressure value L are as follows:
H=（Hc1+……+Hcn）/n，
L=（Lc1+……+Lcn）/n，
wherein Hcn represents the blood pressure high-pressure value measured at the nth minute, and Lcm represents the blood pressure low-pressure value measured at the mth minute.
Further, the specific processing procedure of the first position analysis unit is as follows:
s11: according to the coordinate values of all points on each side line of the elbow inner side transverse line area detection frame and the cuff detection frame under the image coordinate system, determining the center point coordinates of the elbow inner side transverse line area detection frame and the cuff detection frame and the center point coordinates of the four side lines;
s12: taking the center point of the elbow inner lateral line area detection frame as a base point, connecting the center points of four side lines of the cuff detection frame with the center point of the elbow inner lateral line area detection frame to obtain four line segments, calculating the length of the four line segments in an image coordinate system, and selecting the center point of the cuff detection frame side line corresponding to the shortest line segment as a characteristic point of the cuff detection frame, and marking as X1;
s13: taking the center point of the sleeve belt detection frame as a base point, connecting the center points of four side lines of the elbow inner side transverse line area detection frame with the center point of the sleeve belt detection frame to obtain four line segments, calculating the length of the four line segments in an image coordinate system, selecting the center point of the side line of the elbow inner side transverse line area detection frame corresponding to the shortest line segment as a characteristic point of the elbow inner side transverse line area detection frame, and marking as X2;
s14: calculating the length of the line segment X1X2 in an image coordinate system, and marking as L1;
s15: comparing L1 with a set first length threshold range [ Lx1, lx2], and when L1 is not in the first length threshold range [ Lx1, lx2], judging that the cuff binding position is inaccurate and displaying on a display control interface.
Further, the specific processing procedure of the second position analysis unit is as follows:
s21: according to coordinate values of all points on each side line of the wrist inner side transverse line area detection frame and the wrist strap detection frame under an image coordinate system, determining center point coordinates of the wrist inner side transverse line area detection frame and the wrist strap detection frame and center point coordinates of four side lines;
s22: connecting four edge line center points of the wrist detection frame with the center point of the wrist inner transverse line area detection frame by taking the center point of the wrist inner transverse line area detection frame as a base point, obtaining four line segments, calculating the length of the four line segments in an image coordinate system, selecting the edge line center point of the wrist detection frame corresponding to the shortest line segment as a characteristic point of the wrist detection frame, and marking as X3;
s23: connecting four edge line center points of the wrist inner side transverse line area detection frame with the wrist inner side transverse line area detection frame center point by taking the wrist strap detection frame center point as a base point to obtain four line segments, calculating the length of the four line segments in an image coordinate system, selecting the wrist inner side transverse line area detection frame edge line center point corresponding to the shortest line segment as a wrist inner side transverse line area detection frame feature point, and marking as X4;
s24: calculating the length of the line segment X3X4 in an image coordinate system, and marking the length as L2;
s25: comparing L2 with a set first length threshold range [ Lw1, lw2], and when L1 is not in the first length threshold range [ Lw1, lw2], judging that the binding position of the wrist strap is inaccurate and displaying on a display control interface.
Compared with the prior art, the invention has the following advantages: according to the intelligent multimode sphygmomanometer integrated with various measuring methods, through the set cuff or wristband, the blood pressure of a user can be measured in two measuring modes according to the use requirement of the user, and the functional diversity of the device is improved; the pulse frequency data of the user before the blood pressure measurement can be conveniently obtained through the arranged detection module before the measurement, so that the problem that the blood pressure measurement result is inaccurate due to overlarge pulse fluctuation of the user is avoided; through the ligature position detection module and the data processing module, the ligature position of the cuff or the wrist strap can be conveniently detected, and the blood pressure detection error caused by inaccurate ligature position of the cuff or the wrist strap is avoided.
Drawings
FIG. 1 is a system block diagram of an intelligent multimode sphygmomanometer integrating multiple measurement methods in an embodiment of the present invention;
FIG. 2 is a schematic illustration of a first image in an embodiment of the invention;
FIG. 3 is a schematic illustration of a second image in an embodiment of the invention;
FIG. 4 is a schematic view of a partial structure of a smart multimode blood pressure measurement device according to an embodiment of the present invention (top view);
fig. 5 is a schematic diagram of a hardware architecture of the intelligent multimode blood pressure detecting device according to an embodiment of the invention.
Detailed Description
The following describes in detail the examples of the present invention, which are implemented on the premise of the technical solution of the present invention, and detailed embodiments and specific operation procedures are given, but the scope of protection of the present invention is not limited to the following examples.
As shown in fig. 1-5, the present embodiment provides a technical solution: an intelligent multimode sphygmomanometer integrating multiple measurement methods comprises a pre-measurement detection module, a front end detection module, a binding position detection module and a data processing module;
in this embodiment, the pre-measurement detection module is configured to detect a pulse frequency of a user before performing blood pressure measurement, and obtain a real-time pulse frequency value of the user;
specifically, the pre-measurement detection module comprises a pulse sensor and a first analog-to-digital conversion unit; the pulse sensor is used for measuring pulse frequency electric signals of a user at the fingertips of the user in a clamping mode and sending the pulse frequency electric signals to the first analog-to-digital conversion unit in real time; the first analog-to-digital conversion unit is used for performing analog-to-digital conversion on the pulse frequency electric signal, converting the pulse frequency electric signal into a pulse frequency value (digital signal), and sending the pulse frequency value (digital signal) to the data processing module; through the detection module before measurement that sets up, can conveniently acquire the pulse frequency data of user before blood pressure measurement, avoid because the too big problem that causes the blood pressure measurement result of user's pulse fluctuation is inaccurate.
More specifically, the pulse sensor is a fingertip pulse sensor.
In this embodiment, the front end detection module is configured to detect a blood pressure of a user through a cuff or a wristband, and obtain a real-time blood pressure signal of the user; through the cuff or the wrist strap, the blood pressure of the user can be measured in two measuring modes according to the use requirement of the user, and the multimode sphygmomanometer is formed.
Specifically, the front end detection module comprises a cuff or a wrist strap, a connecting pipe and a second analog-to-digital conversion unit; the cuff or wristband is bound on the upper arm or wrist of the user; one end of the connecting pipe is communicated with the cuff or the wrist strap, and the other end of the connecting pipe is connected with the air pressure sensor and is used for converting the blood pressure state of a blood vessel at the upper arm part or the wrist part into an electric signal, acquiring the blood pressure electric signal at the upper arm part or the wrist part and sending the blood pressure electric signal at the upper arm part or the wrist part to the second analog-to-digital conversion unit; the second analog-to-digital conversion unit is used for performing analog-to-digital conversion on the blood pressure electric signal at the upper arm part or the wrist part, converting the blood pressure electric signal into a blood pressure value (digital signal), and sending the blood pressure value (digital signal) to the data processing module.
In this embodiment, the binding position detection module is configured to detect a position of a cuff or wristband bound by a user;
specifically, the binding position detection module comprises a first image acquisition unit (a first camera 6), a first image preprocessing unit and a first target recognition unit; the first image acquisition unit is used for shooting the upper arm and the inner side of the elbow of a user when the user selects the cuff for measurement, acquiring a first image containing the transverse line area of the inner side of the elbow and the complete cuff, and sending the first image to the first image preprocessing unit; the first image preprocessing unit is used for carrying out noise reduction and enhancement processing on a first image and sending the first image subjected to the noise reduction and enhancement processing to the first target recognition unit; the first target recognition unit is used for carrying out target recognition on the elbow inner lateral line region and the cuff of the first image after noise reduction and enhancement processing through the first recognition model, acquiring an elbow inner lateral line region detection frame and a cuff detection frame, further acquiring coordinate values of all points on each side line of the elbow inner lateral line region detection frame and the cuff detection frame under an image coordinate system, and sending the coordinate values of all points on each side line of the elbow inner lateral line region detection frame and the cuff detection frame under the image coordinate system to the data processing module.
More specifically, in this embodiment, the first recognition model is obtained based on the fast RCNN network training, and during training, the network is trained by using an image sample that includes an elbow inside lateral line region and a complete cuff that are manually marked, and performance verification is performed on the trained network model, and when the recognition performance of the network model reaches a set threshold, network parameters are saved, so as to obtain the first recognition model.
Specifically, the binding position detection module further comprises a second image acquisition unit (a second camera 7), a second image preprocessing unit and a second target recognition unit; the second image acquisition unit is used for shooting the wrist of the user when the user selects the wrist strap to measure, acquiring a second image comprising the wrist inner lateral line area and the complete wrist strap, and sending the second image to the second image preprocessing unit; the second image preprocessing unit is used for carrying out noise reduction and enhancement processing on a second image and sending the second image subjected to the noise reduction and enhancement processing to the second target recognition unit; the second target recognition unit is used for performing target recognition on the wrist inner lateral line region and the wrist strap of the second image after noise reduction and enhancement processing through the second recognition model, acquiring a wrist inner lateral line region detection frame and a wrist strap detection frame, further acquiring coordinate values of all points on each side line of the wrist inner lateral line region detection frame and the wrist strap detection frame under an image coordinate system, and transmitting the coordinate values of all points on each side line of the wrist inner lateral line region detection frame and the wrist strap detection frame under the image coordinate system to the data processing module.
More specifically, in this embodiment, the second recognition model is also obtained based on the fast RCNN network training, and during training, the network is trained by the image sample including the wrist inner lateral line area and the complete wrist strap, which is manually marked, and the performance of the trained network model is verified, and when the recognition performance of the network model reaches the set threshold, the network parameters are saved, so as to obtain the second recognition model.
In this embodiment, the data processing module is configured to perform pulse frequency determination, blood pressure value calculation, cuff binding position determination, and wristband binding position determination.
Specifically, the data processing module comprises a pulse frequency judging unit, a blood pressure value calculating unit, a first position analyzing unit and a second position analyzing unit; the pulse frequency judging unit is used for judging whether the pulse frequency of the user is stable according to the pulse frequency change of the user, if so, allowing the subsequent blood pressure measurement work to be performed, otherwise, not allowing the subsequent blood pressure measurement work to be performed; the blood pressure value calculation unit is used for calculating the current blood pressure value of the patient according to the blood pressure value measured by the upper arm or the wrist of the user in a set time to obtain the current blood pressure value data of the user; the first position analysis unit is used for judging whether the cuff binding position is accurate according to coordinate values of all points on each side line of the elbow inner lateral line area detection frame and the cuff detection frame under an image coordinate system, displaying information of whether the cuff binding position is accurate or not on the display control interface, prompting a user, adjusting the cuff binding position until the cuff binding position is accurate, and clicking a determination button on the display control interface to perform blood pressure measurement; the second position analysis unit is used for judging whether the wristband binding positions are accurate according to coordinate values of all points on each edge line of the wrist inner lateral line area detection frame and the wristband detection frame under an image coordinate system, displaying information of whether the wristband binding positions are accurate or not on the display control interface, prompting a user, adjusting the wristband binding positions until the wristband binding positions are accurate, and clicking a determination button on the display control interface to perform blood pressure measurement.
In this embodiment, in the pulse rate determination unit, when the amount of change in the pulse rate value of the user does not exceed 5 times/min in the continuous set time (10 minutes), it indicates that the pulse rate of the user is now stable, and it is a state in which blood pressure measurement is possible.
In this embodiment, in the blood pressure value calculation unit, the blood pressure value is divided into a high pressure value H and a low pressure value L, and the calculation formulas of the high pressure value H and the low pressure value L are as follows:
H=（Hc1+……+Hcn）/n，
L=（Lc1+……+Lcn）/n，
wherein Hcn represents the blood pressure high-pressure value measured at the nth minute, and Lcm represents the blood pressure low-pressure value measured at the mth minute.
As shown in fig. 2, the specific processing procedure of the first position analysis unit is as follows:
s11: according to the coordinate values of all points on each side line of the elbow inner side transverse line area detection frame and the cuff detection frame under the image coordinate system, determining the center point coordinates of the elbow inner side transverse line area detection frame and the cuff detection frame and the center point coordinates of the four side lines;
s12: taking the center point of the elbow inner lateral line area detection frame as a base point, connecting the center points of four side lines of the cuff detection frame with the center point of the elbow inner lateral line area detection frame to obtain four line segments, calculating the length of the four line segments in an image coordinate system, and selecting the center point of the cuff detection frame side line corresponding to the shortest line segment as a characteristic point of the cuff detection frame, and marking as X1;
s13: taking the center point of the sleeve belt detection frame as a base point, connecting the center points of four side lines of the elbow inner side transverse line area detection frame with the center point of the sleeve belt detection frame to obtain four line segments, calculating the length of the four line segments in an image coordinate system, selecting the center point of the side line of the elbow inner side transverse line area detection frame corresponding to the shortest line segment as a characteristic point of the elbow inner side transverse line area detection frame, and marking as X2;
s14: calculating the length of the line segment X1X2 in an image coordinate system, and marking as L1;
s15: comparing L1 with a set first length threshold range [ Lx1, lx2], and when L1 is not in the first length threshold range [ Lx1, lx2], judging that the cuff binding position is inaccurate and displaying on a display control interface.
In this embodiment, in the step S15, when L1 is within the first length threshold range [ Lx1, lx2], the cuff lower edge is 2-3cm from the elbow inner lateral line in real space.
As shown in fig. 3, the specific processing procedure of the second position analysis unit is as follows:
s21: according to coordinate values of all points on each side line of the wrist inner side transverse line area detection frame and the wrist strap detection frame under an image coordinate system, determining center point coordinates of the wrist inner side transverse line area detection frame and the wrist strap detection frame and center point coordinates of four side lines;
s22: connecting four edge line center points of the wrist detection frame with the center point of the wrist inner transverse line area detection frame by taking the center point of the wrist inner transverse line area detection frame as a base point, obtaining four line segments, calculating the length of the four line segments in an image coordinate system, selecting the edge line center point of the wrist detection frame corresponding to the shortest line segment as a characteristic point of the wrist detection frame, and marking as X3;
s23: connecting four edge line center points of the wrist inner side transverse line area detection frame with the wrist inner side transverse line area detection frame center point by taking the wrist strap detection frame center point as a base point to obtain four line segments, calculating the length of the four line segments in an image coordinate system, selecting the wrist inner side transverse line area detection frame edge line center point corresponding to the shortest line segment as a wrist inner side transverse line area detection frame feature point, and marking as X4;
s24: calculating the length of the line segment X3X4 in an image coordinate system, and marking the length as L2;
s25: comparing L2 with a set first length threshold range [ Lx1, lx2], and when L1 is not in the first length threshold range [ Lx1, lx2], judging that the binding position of the wrist strap is inaccurate and displaying on a display control interface.
In this embodiment, when the L2 is within the first length threshold range [ Lx1, lx2] in the S25, the wrist strap front edge is 1-2cm from the wrist inner lateral line in real space.
As shown in fig. 4-5, in this embodiment, there is further provided an intelligent multimode blood pressure detecting device for measuring blood pressure of a user by using the multimode blood pressure meter, including a detecting main body 1, a cuff 2, a wristband 3, a connecting tube 4, a table body 5, a first camera 6, a second camera 7, and a pulse sensor (not shown in fig. 4); the first camera 6 and the second camera 7 are arranged at the upper end of the detection main body 1, are connected through a connecting rod and are positioned above the detection position, and the cuff 2 and the wrist strap 3 are connected with a circuit board in the detection main body 1 through a connecting pipe 4; the cuff 2 and the wrist strap 3 are integrated with an air pump (servo control) and an exhaust valve (electronic control exhaust valve), and the connecting pipe 4 is externally provided with a communication line for controlling the air pump (servo control) and the exhaust valve (electronic control exhaust valve) by a circuit board.
In the embodiment, a singlechip, an air pressure sensor, a first analog-to-digital conversion unit and a second analog-to-digital conversion unit are arranged on a circuit board; the pulse sensor is connected with the singlechip through a first analog-to-digital conversion unit, the connecting pipe 4 is connected with the air pressure sensor, the air pressure sensor is connected with the singlechip through a second analog-to-digital conversion unit, and the first target identification unit, the second target identification unit, the pulse frequency judgment unit, the blood pressure value calculation unit, the first position analysis unit and the second position analysis unit are all realized based on the singlechip.
In summary, according to the intelligent multimode sphygmomanometer integrated with multiple measurement methods in the embodiments, through the cuff or the wristband, two measurement modes can be adopted to measure the blood pressure of the user according to the use requirement of the user, so that the functional diversity of the device is improved; the pulse frequency data of the user before the blood pressure measurement can be conveniently obtained through the arranged detection module before the measurement, so that the problem that the blood pressure measurement result is inaccurate due to overlarge pulse fluctuation of the user is avoided; through the ligature position detection module and the data processing module, the ligature position of the cuff or the wrist strap can be conveniently detected, and the blood pressure detection error caused by inaccurate ligature position of the cuff or the wrist strap is avoided.
While embodiments of the present invention have been shown and described above, it will be understood that the above embodiments are illustrative and not to be construed as limiting the invention, and that variations, modifications, alternatives and variations may be made to the above embodiments by one of ordinary skill in the art within the scope of the invention.
Claims (5)
1. An intelligent multimode sphygmomanometer integrating a plurality of measurement methods, comprising: the device comprises a pre-measurement detection module, a front end detection module, a binding position detection module and a data processing module;
the pre-measurement detection module is used for detecting the pulse frequency of the user before blood pressure measurement is carried out, and acquiring a real-time pulse frequency value of the user;
the pre-measurement detection module comprises a pulse sensor and a first analog-to-digital conversion unit; the pulse sensor is used for measuring pulse frequency electric signals of a user at the fingertips of the user in a clamping mode; the first analog-to-digital conversion unit is used for performing analog-to-digital conversion on the pulse frequency electric signal, converting the pulse frequency electric signal into a pulse frequency value and sending the pulse frequency value to the data processing module;
the front end detection module is used for detecting the blood pressure of a user through a cuff or a wrist strap and acquiring a real-time blood pressure signal of the user;
the front end detection module comprises a cuff or a wrist strap, a connecting pipe and a second analog-to-digital conversion unit; the cuff or wristband is bound on the upper arm or wrist of the user; one end of the connecting pipe is communicated with the cuff or the wrist strap, and the other end of the connecting pipe is connected with the air pressure sensor and is used for converting the blood pressure state of a blood vessel at the upper arm part or the wrist part into an electric signal so as to acquire the blood pressure electric signal at the upper arm part or the wrist part; the second analog-to-digital conversion unit is used for performing analog-to-digital conversion on the blood pressure electric signal at the upper arm part or the wrist part, converting the blood pressure electric signal into a blood pressure value and sending the blood pressure value to the data processing module;
the binding position detection module is used for detecting the positions of cuffs or wristbands bound by a user;
the binding position detection module comprises a first image acquisition unit, a first image preprocessing unit and a first target identification unit; the first image acquisition unit is used for shooting the upper arm and the inner side of the elbow of the user when the user selects the cuff to measure, and acquiring a first image containing the transverse line area of the inner side of the elbow and the complete cuff; the first image preprocessing unit is used for carrying out noise reduction and enhancement processing on the first image; the first target recognition unit is used for carrying out target recognition on the elbow inner lateral line region and the cuff of the first image after noise reduction and enhancement processing through the first recognition model, acquiring an elbow inner lateral line region detection frame and a cuff detection frame, further acquiring coordinate values of all points on each side line of the elbow inner lateral line region detection frame and the cuff detection frame under an image coordinate system, and sending the coordinate values of all points on each side line of the elbow inner lateral line region detection frame and the cuff detection frame under the image coordinate system to the data processing module;
the binding position detection module further comprises a second image acquisition unit, a second image preprocessing unit and a second target identification unit; the second image acquisition unit is used for shooting the wrist of the user when the user selects the wrist strap to measure, and acquiring a second image comprising the wrist inner lateral line area and the complete wrist strap; the second image preprocessing unit is used for carrying out noise reduction and enhancement processing on the second image; the second target recognition unit is used for carrying out target recognition on the wrist inner lateral line region and the wrist strap of the second image after noise reduction and enhancement processing through the second recognition model, acquiring a wrist inner lateral line region detection frame and a wrist strap detection frame, further acquiring coordinate values of all points on each side line of the wrist inner lateral line region detection frame and the wrist strap detection frame under an image coordinate system, and sending the coordinate values of all points on each side line of the wrist inner lateral line region detection frame and the wrist strap detection frame under the image coordinate system to the data processing module;
the data processing module is used for performing pulse frequency judgment, blood pressure value calculation, cuff binding position judgment and wristband binding position judgment;
the data processing module comprises a pulse frequency judging unit, a blood pressure value calculating unit, a first position analyzing unit and a second position analyzing unit; the pulse frequency judging unit is used for judging whether the pulse frequency of the user is stable according to the pulse frequency change of the user, if so, allowing the subsequent blood pressure measurement work to be performed, otherwise, not allowing the subsequent blood pressure measurement work to be performed; the blood pressure value calculation unit is used for calculating the current blood pressure value of the patient according to the blood pressure value measured by the upper arm or the wrist of the user in a set time to obtain the current blood pressure value data of the user; the first position analysis unit is used for judging whether the cuff binding position is accurate according to coordinate values of all points on each side line of the elbow inner lateral line region detection frame and the cuff detection frame under an image coordinate system, displaying information whether the cuff binding position is accurate or not on a display control interface, and prompting a user; the second position analysis unit is used for judging whether the wristband binding position is accurate according to coordinate values of all points on each edge line of the wrist inner lateral line area detection frame and the wrist band detection frame under an image coordinate system, displaying information of whether the wristband binding position is accurate on a display control interface and prompting a user.
2. The intelligent multimode sphygmomanometer integrating multiple measurement methods of claim 1, wherein the pulse sensor is a fingertip pulse sensor.
3. The intelligent multimode sphygmomanometer integrating multiple measurement methods according to claim 1, wherein in the pulse frequency judging unit, when the pulse frequency value variation of the user is not more than 5 times/min in the continuous set time, it indicates that the pulse frequency is stable;
in the blood pressure value calculation unit, the blood pressure value is divided into a high pressure value H and a low pressure value L, and the calculation formulas of the high pressure value H and the low pressure value L are as follows:
H=（Hc1+……+Hcn）/n
L=（Lc1+……+Lcn）/n
wherein Hcn represents the blood pressure high-pressure value measured at the nth minute, and Lcm represents the blood pressure low-pressure value measured at the mth minute.
4. The intelligent multimode sphygmomanometer integrating multiple measurement methods according to claim 1, wherein the specific processing procedure of the first location analysis unit is as follows:
s11: according to the coordinate values of all points on each side line of the elbow inner side transverse line area detection frame and the cuff detection frame under the image coordinate system, determining the center point coordinates of the elbow inner side transverse line area detection frame and the cuff detection frame and the center point coordinates of the four side lines;
s12: taking the center point of the elbow inner lateral line area detection frame as a base point, connecting the center points of four side lines of the cuff detection frame with the center point of the elbow inner lateral line area detection frame to obtain four line segments, calculating the length of the four line segments in an image coordinate system, and selecting the center point of the cuff detection frame side line corresponding to the shortest line segment as a characteristic point of the cuff detection frame, and marking as X1;
s13: taking the center point of the sleeve belt detection frame as a base point, connecting the center points of four side lines of the elbow inner side transverse line area detection frame with the center point of the sleeve belt detection frame to obtain four line segments, calculating the length of the four line segments in an image coordinate system, selecting the center point of the side line of the elbow inner side transverse line area detection frame corresponding to the shortest line segment as a characteristic point of the elbow inner side transverse line area detection frame, and marking as X2;
s14: calculating the length of the line segment X1X2 in an image coordinate system, and marking as L1;
s15: comparing L1 with a set first length threshold range [ Lx1, lx2], and when L1 is not in the first length threshold range [ Lx1, lx2], judging that the cuff binding position is inaccurate and displaying on a display control interface.
5. The intelligent multimode sphygmomanometer integrating multiple measurement methods according to claim 4, wherein the specific processing procedure of the second location analysis unit is as follows:
s21: according to coordinate values of all points on each side line of the wrist inner side transverse line area detection frame and the wrist strap detection frame under an image coordinate system, determining center point coordinates of the wrist inner side transverse line area detection frame and the wrist strap detection frame and center point coordinates of four side lines;
s22: connecting four edge line center points of the wrist detection frame with the center point of the wrist inner transverse line area detection frame by taking the center point of the wrist inner transverse line area detection frame as a base point, obtaining four line segments, calculating the length of the four line segments in an image coordinate system, selecting the edge line center point of the wrist detection frame corresponding to the shortest line segment as a characteristic point of the wrist detection frame, and marking as X3;
s23: connecting four edge line center points of the wrist inner side transverse line area detection frame with the wrist inner side transverse line area detection frame center point by taking the wrist strap detection frame center point as a base point to obtain four line segments, calculating the length of the four line segments in an image coordinate system, selecting the wrist inner side transverse line area detection frame edge line center point corresponding to the shortest line segment as a wrist inner side transverse line area detection frame feature point, and marking as X4;
s24: calculating the length of the line segment X3X4 in an image coordinate system, and marking the length as L2;
s25: comparing L2 with a set first length threshold range [ Lw1, lw2], and when L1 is not in the first length threshold range [ Lw1, lw2], judging that the binding position of the wrist strap is inaccurate and displaying on a display control interface.
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