WO2024066076A1 - Blood pressure detection method and device, blood pressure gauge, and medium - Google Patents

Abstract

Provided are a blood pressure detection method and device, a blood pressure gauge, and a medium. The method comprises: acquiring a pulse detection signal by means of a piezoelectric sensor in a blood pressure gauge (S110); on the basis of the pulse detection signal, determining a relative position of the piezoelectric sensor and the brachial artery of the arm of a person to be detected (S210); on the basis of the relative position of the piezoelectric sensor and the brachial artery of the arm of said person, determining a compensation coefficient of the pulse detection signal (S310); on the basis of the compensation coefficient and the pulse detection signal, determining an actual pulse signal (S410); and on the basis of the actual pulse signal, determining a blood pressure detection value (S510). The blood pressure detection value is calculated according to the compensated actual pulse signal, so that not only can the calculation precision of the blood pressure detection value be improved, but also the professional operation requirement for a measurer can be reduced when the blood pressure is measured, and an accurate pulse detection signal can be obtained without depending on rich professional experience and skills of a measurer.

Description

A blood pressure detection method, device, sphygmomanometer and medium

This disclosure claims the priority of the Chinese patent application filed with the China Patent Office on September 29, 2022, with application number 202211201908.X, and invention name “A blood pressure detection method, device, sphygmomanometer and medium”, the entire contents of which are incorporated by reference in this disclosure.

Technical Field

The present disclosure relates to the technical field of sphygmomanometers, and in particular to a blood pressure detection method, device, sphygmomanometer and medium.

Background technique

When measuring blood pressure, existing sphygmomanometers require the operator's rich professional experience and skills to find the brachial artery on the arm. When the sphygmomanometer sensor is not accurately placed at the position corresponding to the brachial artery on the arm, the brachial artery signal cannot be collected, or the collected brachial artery signal is weak, resulting in inaccurate blood pressure measurement. Therefore, when using existing sphygmomanometers, not only is the professional operation requirement of the measurer relatively high, but it also reduces the measurement accuracy of the blood pressure signal.

Summary of the invention

1. Technical issues to be resolved

The technical problem to be solved by the present disclosure is to solve the problem that when using the existing sphygmomanometer, the professional operation requirements for the measurer are relatively high and the measurement accuracy of the blood pressure signal is low.

(II) Technical solution

In order to solve the above technical problems, the present disclosure provides a blood pressure detection method, device, blood pressure meter and medium.

In a first aspect, the present disclosure provides a blood pressure detection method, comprising:

Acquire pulse detection signals through the piezoelectric sensor in the sphygmomanometer;

Based on the pulse detection signal, determining the relative position of the piezoelectric sensor and the brachial artery of the arm of the person to be detected;

Determining a compensation coefficient of the pulse detection signal based on the relative position of the piezoelectric sensor and the brachial artery of the arm of the person to be detected;

determining an actual pulse signal based on the compensation coefficient and the pulse detection signal;

A blood pressure detection value is determined based on the actual pulse signal.

In some embodiments, the piezoelectric sensor includes a first piezoelectric sensor and a second piezoelectric sensor; the first piezoelectric sensor and the second piezoelectric sensor are sequentially arranged along the length direction of the cuff of the sphygmomanometer;

Determining the relative position of the piezoelectric sensor and the brachial artery of the arm of the person to be detected based on the pulse detection signal includes:

Based on the pulse detection signal acquired by the first piezoelectric sensor and the pulse detection signal acquired by the second piezoelectric sensor, determine the difference between the pulse detection signal acquired by the first piezoelectric sensor and the pulse detection signal acquired by the second piezoelectric sensor, and determine the ratio of the pulse detection signal acquired by the first piezoelectric sensor to the pulse detection signal acquired by the second piezoelectric sensor;

Input the difference and the ratio into the trained long short-term memory network model to determine the relative position of each piezoelectric sensor and the brachial artery of the arm of the person to be tested;

The compensation coefficient of the pulse detection signal is determined based on the relative position of each piezoelectric sensor and the brachial artery of the arm of the person to be detected, including:

Based on the preset correspondence between the relative position of each piezoelectric sensor and the brachial artery of the arm of the person to be detected and the compensation coefficient, the compensation coefficient corresponding to the pulse detection signal obtained by the first piezoelectric sensor and the pulse detection signal obtained by the second piezoelectric sensor is determined.

In some embodiments, the training process of the long short-term memory network model includes:

Divide the circumference of a circle with the center point of the cross section of the arm of the person to be tested as the center into multiple areas;

Based on the difference and the ratio, determining a probability value that the relative position of the piezoelectric sensor and the brachial artery of the arm of the person to be detected is located in each area;

Determine that the area corresponding to the maximum probability value is the relative position of the piezoelectric sensor and the brachial artery of the arm of the person to be detected;

Based on the corresponding relationship between the relative position of the piezoelectric sensor and the brachial artery of the arm of the person to be detected and the compensation coefficient, the compensation coefficient corresponding to the pulse detection signal obtained by the piezoelectric sensor is determined.

In some embodiments, determining the relative position of the piezoelectric sensor and the brachial artery of the arm of the person to be detected based on the pulse detection signal includes:

Based on the relationship between the pulse detection signal and the distance, determining the corresponding distance of the pulse detection signal;

The method of determining the compensation coefficient of the pulse detection signal based on the relative position of the piezoelectric sensor and the brachial artery of the arm of the person to be detected includes:

Determine the compensation coefficient corresponding to the corresponding distance of the pulse detection signal based on the corresponding relationship between the corresponding distance of the pulse detection signal and the compensation coefficient;

Among them, the corresponding distance of the pulse detection signal refers to: the distance between the position of the piezoelectric sensor that collects the pulse detection signal and the brachial artery of the arm of the person to be tested; the greater the distance between the position of the piezoelectric sensor that collects the pulse detection signal and the brachial artery of the arm of the person to be tested, the greater the compensation coefficient corresponding to the corresponding distance of the pulse detection signal.

In some embodiments, determining the relative position of the piezoelectric sensor and the brachial artery of the arm of the person to be detected based on the pulse detection signal includes:

Based on the relationship between the pulse detection signal and the angle, determining the angle corresponding to the pulse detection signal;

The method of determining the compensation coefficient of the pulse detection signal based on the relative position of the piezoelectric sensor and the brachial artery of the arm of the person to be detected includes:

Determine the compensation coefficient corresponding to the corresponding angle of the pulse detection signal based on the corresponding relationship between the corresponding angle of the pulse detection signal and the compensation coefficient;

Among them, the line between the center point of the position of the piezoelectric sensor that collects the pulse detection signal and the center point of the cross-section of the arm of the person to be detected is used as the first straight line, and the line between the center point of the cross-section of the arm of the person to be detected and the center point of the brachial artery of the arm of the person to be detected is used as the second straight line. The angle between the first straight line and the second straight line is the corresponding angle of the pulse detection signal; the larger the corresponding angle of the pulse detection signal, the larger the compensation coefficient corresponding to the corresponding angle of the pulse detection signal.

In some embodiments, the sphygmomanometer includes a first piezoelectric sensor and a second piezoelectric sensor; the first piezoelectric sensor and the second piezoelectric sensor are sequentially arranged along the length direction of the cuff of the sphygmomanometer;

The determining, based on the pulse detection signal, the relative position of the piezoelectric sensor and the brachial artery of the arm of the person to be detected comprises:

Based on the relationship between the pulse detection signal and the angle, determining the corresponding angles of the pulse detection signal acquired by the first piezoelectric sensor and the pulse detection signal acquired by the second piezoelectric sensor;

The method of determining the compensation coefficient of the pulse detection signal based on the relative position of the piezoelectric sensor and the brachial artery of the arm of the person to be detected includes:

Determine the compensation coefficient corresponding to the corresponding angle of the pulse detection signal acquired by the first piezoelectric sensor and the corresponding angle of the pulse detection signal acquired by the second piezoelectric sensor based on the corresponding relationship between the corresponding angle of the pulse detection signal and the compensation coefficient;

Among them, the center point of the line between the center point of the position of the first piezoelectric sensor and the center point of the position of the second piezoelectric sensor is taken as the first center point, and the line between the first center point and the center point of the cross-section of the arm of the person to be tested is taken as the third straight line; the line between the center point of the cross-section of the arm of the person to be tested and the center point of the brachial artery of the arm of the person to be tested is taken as the second straight line, and the angle between the third straight line and the second straight line is the corresponding angle of the pulse detection signal obtained by the first piezoelectric sensor and the pulse detection signal obtained by the second piezoelectric sensor; the larger the corresponding angle of the pulse detection signal obtained by the first piezoelectric sensor and the pulse detection signal obtained by the second piezoelectric sensor, the larger the compensation coefficient corresponding to the corresponding angle of the pulse detection signal obtained by the first piezoelectric sensor and the pulse detection signal obtained by the second piezoelectric sensor.

In some embodiments, determining the actual pulse signal based on the compensation coefficient and the pulse detection signal comprises:

The product of the compensation coefficient and the pulse detection signal is determined as the actual pulse signal value.

In a second aspect, the present disclosure further provides a blood pressure detection device, comprising:

A pulse detection signal acquisition module is used to acquire a pulse detection signal through a piezoelectric sensor in a sphygmomanometer;

A relative position determination module, used to determine the relative position of the piezoelectric sensor and the brachial artery of the arm of the person to be detected based on the pulse detection signal;

A compensation coefficient determination module, used to determine the compensation coefficient of the pulse detection signal based on the relative position of the piezoelectric sensor and the brachial artery of the arm of the person to be detected;

an actual pulse signal determination module, configured to determine an actual pulse signal based on the compensation coefficient and the pulse detection signal;

The blood pressure detection value determination module is used to determine the blood pressure detection value based on the actual pulse signal.

In a third aspect, the present disclosure further provides a sphygmomanometer, comprising:

one or more processors;

A memory for storing one or more programs or instructions;

The processor is used to execute the steps of the above method by calling the program or instruction stored in the memory.

In a fourth aspect, the present disclosure further provides a computer-readable storage medium, wherein the computer-readable storage medium stores a program or instruction, wherein the program or instruction enables a computer to execute the steps of the method described above.

(III) Beneficial effects

Compared with the prior art, the above technical solution provided by the embodiments of the present disclosure has the following advantages:

The technical solution provided by the embodiment of the present disclosure obtains a pulse detection signal through a piezoelectric sensor in a sphygmomanometer. Based on the pulse detection signal, the relative position of the piezoelectric sensor and the brachial artery of the arm of the person to be detected is determined. Based on the relative position of the piezoelectric sensor and the brachial artery of the arm of the person to be detected, the compensation coefficient of the pulse detection signal is determined. By compensating the detected pulse detection signal, the actual pulse signal is determined based on the compensation coefficient and the pulse detection signal, and the blood pressure detection value is determined based on the actual pulse signal. Therefore, the technical solution provided by the embodiment of the present disclosure can accurately compensate the pulse detection signal according to the strength of the pulse detection signal. The technical solution provided by the embodiment of the present disclosure calculates the blood pressure detection value based on the compensated actual pulse signal, which can not only improve the calculation accuracy of the blood pressure detection value, but also reduce the professional operation requirements for the measurer when measuring blood pressure, and can obtain an accurate pulse detection signal without relying on the rich professional experience and skills of the measurer.

It is to be understood that the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the present disclosure.

BRIEF DESCRIPTION OF THE DRAWINGS

The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present disclosure and, together with the description, serve to explain the principles of the present disclosure.

In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, for ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative labor.

FIG1 is a flow chart of a blood pressure detection method provided by an embodiment of the present disclosure;

FIG2 is a flow chart of another blood pressure detection method provided in an embodiment of the present disclosure;

FIG3 is a schematic diagram of a structure for dividing a cross-section of an arm of a person to be detected into multiple regions according to an embodiment of the present disclosure;

FIG4 is a schematic diagram of network operation of a long short-term memory network model provided by an embodiment of the present disclosure;

FIG5 is a flow chart of another blood pressure detection method provided in an embodiment of the present disclosure;

FIG6 is a flow chart of another blood pressure detection method provided in an embodiment of the present disclosure;

FIG7 is a schematic structural diagram of a cuff of a blood pressure monitor provided in an embodiment of the present disclosure;

FIG8 is a flow chart of another blood pressure detection method provided in an embodiment of the present disclosure;

FIG9 is a schematic structural diagram of a cuff of another sphygmomanometer provided in an embodiment of the present disclosure;

FIG10 is a structural block diagram of a blood pressure detection device provided in an embodiment of the present disclosure;

FIG. 11 is a schematic diagram of the hardware structure of an electronic device provided in an embodiment of the present disclosure.

Detailed ways

In order to make the purpose, technical solution and advantages of the embodiments of the present disclosure clearer, the technical solution in the embodiments of the present disclosure will be clearly and completely described below. Obviously, the described embodiments are part of the embodiments of the present disclosure, not all of the embodiments. Based on the embodiments in the present disclosure, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present disclosure.

The present disclosure provides a blood pressure detection method, which can be performed by a blood pressure detection device, and the blood pressure detection device can be implemented in software and/or hardware. FIG1 is a flow chart of a blood pressure detection method provided by the present disclosure. As shown in FIG1, the method includes the following steps:

S110: Acquire a pulse detection signal through a piezoelectric sensor in the sphygmomanometer.

The pulse detection signal may be, for example, a vibration signal acquired by a piezoelectric sensor in a sphygmomanometer.

S210: Based on the pulse detection signal, determine the relative position of the piezoelectric sensor and the brachial artery of the arm of the person to be detected.

When the piezoelectric sensor is aligned with the brachial artery of the arm of the person to be tested, a stronger pulse detection signal can be collected. When the piezoelectric sensor is not aligned with the brachial artery of the arm of the person to be tested, the pulse detection signal cannot be collected, or the collected pulse detection signal is weak. Therefore, the relative position of the piezoelectric sensor and the brachial artery of the arm of the person to be tested is related to the strength of the pulse detection signal, and the relative position of the piezoelectric sensor and the brachial artery of the arm of the person to be tested can be determined based on the pulse detection signal.

S310: Determine a compensation coefficient of the pulse detection signal based on the relative position of the piezoelectric sensor and the brachial artery of the arm of the person to be detected.

Usually, only when the piezoelectric sensor is accurately placed at the position of the brachial artery of the arm of the person to be tested can a strong pulse detection signal be detected. In order to avoid the situation where the pulse detection signal cannot be collected or the collected pulse detection signal is weak when the piezoelectric sensor is not aligned with the brachial artery of the arm of the person to be tested, thereby affecting the accuracy of the blood pressure detection method, the detected pulse detection signal can be compensated to improve the accuracy of the blood pressure detection method. Since the relative position of the piezoelectric sensor and the brachial artery of the arm of the person to be tested is related to the strength of the pulse detection signal, the compensation coefficient of the pulse detection signal can be determined based on the relative position of the piezoelectric sensor and the brachial artery of the arm of the person to be tested, so as to compensate for the pulse detection signal and improve the accuracy of blood pressure detection.

S410: Determine an actual pulse signal based on the compensation coefficient and the pulse detection signal.

Since the relative position of the piezoelectric sensor and the brachial artery of the arm of the person to be tested will affect the strength of the pulse detection signal, when the piezoelectric sensor is not aligned with the brachial artery of the arm of the person to be tested, the pulse detection signal cannot be collected, or the collected pulse detection signal is weak, so the strength of the collected pulse detection signal cannot truly reflect the strength of the actual pulse signal of the person to be tested. The compensation coefficient can compensate and correct the collected pulse detection signal. Therefore, the actual pulse signal can be determined based on the compensation coefficient and the pulse detection signal.

S510: Determine a blood pressure detection value based on the actual pulse signal.

For example, the blood pressure detection value may be calculated based on the actual pulse signal according to the calculation relationship between the pulse signal and the blood pressure detection value known to those skilled in the art.

Usually, only when the piezoelectric sensor is accurately placed at the position of the brachial artery of the arm of the person to be detected, a strong pulse detection signal can be detected. When the piezoelectric sensor is not aligned with the brachial artery of the arm of the person to be detected, the pulse detection signal cannot be collected, or the collected pulse detection signal is weak. The technical solution provided by the embodiment of the present disclosure obtains the pulse detection signal through the piezoelectric sensor in the sphygmomanometer. Based on the pulse detection signal, the relative position of the piezoelectric sensor and the brachial artery of the arm of the person to be detected is determined. Based on the relative position of the piezoelectric sensor and the brachial artery of the arm of the person to be detected, the compensation coefficient of the pulse detection signal is determined. By compensating the detected pulse detection signal, the actual pulse signal is determined based on the compensation coefficient and the pulse detection signal, and then the blood pressure detection value is determined based on the actual pulse signal. Therefore, the technical solution provided by the embodiment of the present disclosure calculates the blood pressure detection value according to the compensated actual pulse signal, which can not only improve the calculation accuracy of the blood pressure detection value, but also reduce the professional operation requirements for the measurer when measuring blood pressure, and can obtain an accurate pulse detection signal without relying on the rich professional experience and skills of the measurer.

In some embodiments, the piezoelectric sensor includes a first piezoelectric sensor and a second piezoelectric sensor. The first piezoelectric sensor and the second piezoelectric sensor are arranged in sequence along the length direction of the cuff of the sphygmomanometer. FIG2 is a flow chart of another blood pressure detection method provided by an embodiment of the present disclosure. As shown in FIG2, the method includes the following steps:

S110: Acquire a pulse detection signal through a piezoelectric sensor in the sphygmomanometer.

S211: Based on the pulse detection signal obtained by the first piezoelectric sensor and the pulse detection signal obtained by the second piezoelectric sensor, determine the difference between the pulse detection signal obtained by the first piezoelectric sensor and the pulse detection signal obtained by the second piezoelectric sensor, and determine the ratio of the pulse detection signal obtained by the first piezoelectric sensor to the pulse detection signal obtained by the second piezoelectric sensor.

S212: Input the difference and ratio into the trained long short-term memory network model to determine the relative position of each piezoelectric sensor and the brachial artery of the arm of the person to be tested.

When the piezoelectric sensor is aligned with the brachial artery of the arm of the person to be detected, a stronger pulse detection signal can be collected. When the piezoelectric sensor is not aligned with the brachial artery of the arm of the person to be detected, the pulse detection signal cannot be collected, or the collected pulse detection signal is weak. Therefore, the relative position of the piezoelectric sensor and the brachial artery of the arm of the person to be detected is related to the strength of the pulse detection signal, and the relative position of the piezoelectric sensor and the brachial artery of the arm of the person to be detected can be determined based on the pulse detection signal. Usually, the strength of the pulse detection signal can be reflected based on the difference between the pulse detection signal obtained by the first piezoelectric sensor and the pulse detection signal obtained by the second piezoelectric sensor, and the ratio of the pulse detection signal obtained by the first piezoelectric sensor to the pulse detection signal obtained by the second piezoelectric sensor. Therefore, the difference and the ratio can be input into the trained long short-term memory network model to determine the relative position of each piezoelectric sensor and the brachial artery of the arm of the person to be detected.

S311: Based on the relative position of each piezoelectric sensor and the brachial artery of the arm of the person to be detected and the preset corresponding relationship between the compensation coefficient, determine the compensation coefficient corresponding to the pulse detection signal obtained by the first piezoelectric sensor and the pulse detection signal obtained by the second piezoelectric sensor.

When the piezoelectric sensor is aligned with the brachial artery of the arm of the person to be tested, a stronger pulse detection signal can be collected. When the piezoelectric sensor is not aligned with the brachial artery of the arm of the person to be tested, no pulse detection signal can be collected, or the collected pulse detection signal is weak. Therefore, the relative position of the piezoelectric sensor and the brachial artery of the arm of the person to be tested is related to the strength of the pulse detection signal. In order to obtain an accurate actual pulse signal, the larger the relative position of the piezoelectric sensor and the brachial artery of the person to be tested, the larger the compensation coefficient required for the pulse detection signal. Therefore, the corresponding relationship between the relative position and the compensation coefficient can be preset according to the size of the relative position of the piezoelectric sensor and the brachial artery of the person to be tested.

After obtaining the relative position of the piezoelectric sensor and the brachial artery of the arm of the person to be tested, the compensation coefficient corresponding to the pulse detection signal obtained by the first piezoelectric sensor and the pulse detection signal obtained by the second piezoelectric sensor can be determined based on the preset correspondence between the relative position of the piezoelectric sensor and the brachial artery of the arm of the person to be tested and the compensation coefficient.

S410: Determine an actual pulse signal based on the compensation coefficient and the pulse detection signal.

S510: Determine a blood pressure detection value based on the actual pulse signal.

The technical solution provided by the embodiment of the present disclosure determines the difference between the pulse detection signal obtained by the first piezoelectric sensor and the pulse detection signal obtained by the second piezoelectric sensor, and determines the ratio of the pulse detection signal obtained by the first piezoelectric sensor to the pulse detection signal obtained by the second piezoelectric sensor, based on the pulse detection signal obtained by the first piezoelectric sensor and the pulse detection signal obtained by the second piezoelectric sensor. The difference and the ratio are input into the trained long short-term memory network model to determine the relative position of each piezoelectric sensor and the brachial artery of the arm of the person to be detected. In this way, the relative position of each piezoelectric sensor and the brachial artery of the arm of the person to be detected can be accurately determined based on the trained long short-term memory network model. The method is simple and easy to implement. At the same time, the pulse detection signal obtained by the piezoelectric sensor can be compensated, which effectively improves the accuracy of blood pressure value detection. Of course, for the setting of the piezoelectric sensor, three or more can be set according to actual needs.

In some embodiments, the training process of the long short-term memory network model includes:

The circumference of a circle with the center point of the cross-section of the arm of the person to be tested as the center is divided into multiple areas.

Based on the difference and the ratio, the probability value of the relative position of the piezoelectric sensor and the brachial artery of the arm of the person to be detected being located in each area is determined.

It is determined that the area corresponding to the maximum probability value is the relative position of the piezoelectric sensor and the brachial artery of the arm of the person to be detected.

Based on the corresponding relationship between the relative position of the piezoelectric sensor and the brachial artery of the arm of the person to be detected and the compensation coefficient, the compensation coefficient corresponding to the pulse detection signal obtained by the piezoelectric sensor is determined.

Specifically, the cross section of the arm refers to a section perpendicular to the long axis of the arm, and the cross section of the arm is located at the upper arm, and the long axis of the arm is the axis where the length of the arm is located. Because the cross section of the arm is circular, for example, the center point of the cross section of the arm of the person to be detected can be used as the center of the circle, and the distance between the center point of the position of the piezoelectric sensor and the origin can be used as the radius to form a circle divided into multiple areas.

Figure 3 is a structural schematic diagram of dividing the cross-section of the arm of the person to be tested into multiple areas provided by an embodiment of the present disclosure. As shown in Figure 3, the circle with the center point p of the cross-section of the arm of the person to be tested as the center is divided into multiple areas, such as areas 1, 2, 3 and 4 shown in Figure 3, wherein the circumference where the cross-section of the arm is located includes two symmetrically arranged areas 2 and two symmetrically arranged areas 3.

In the technical solution provided by the embodiment of the present disclosure, each area is provided with a compensation coefficient corresponding to the pulse detection signal obtained by the piezoelectric sensor, wherein the compensation coefficients corresponding to the pulse detection signals obtained by the piezoelectric sensors corresponding to the two symmetrically arranged areas 2 are the same, and the compensation coefficients corresponding to the pulse detection signals obtained by the piezoelectric sensors corresponding to the two symmetrically arranged areas 3 are the same. When the distances between different areas and the center point H of the brachial artery of the arm of the person to be detected are different, the compensation coefficients corresponding to the corresponding different areas are also different.

Exemplarily, when the piezoelectric sensor is located in area 1, the compensation coefficient corresponding to the pulse detection signal obtained by the piezoelectric sensor is, for example, 1. When the piezoelectric sensor is located in area 2, the compensation coefficient corresponding to the pulse detection signal obtained by the piezoelectric sensor is, for example, 1/0.8. When the piezoelectric sensor is located in area 3, the compensation coefficient corresponding to the pulse detection signal obtained by the piezoelectric sensor is, for example, 1/0.6. When the piezoelectric sensor is located in area 4, the compensation coefficient corresponding to the pulse detection signal obtained by the piezoelectric sensor is, for example, 1/0.4.

The long short-term memory network (LSTM) provided in the embodiment of the present disclosure is a time recurrent neural network. FIG4 is a schematic diagram of the network operation of the long short-term memory network model provided in the embodiment of the present disclosure. As shown in FIG4, the pulse detection signal obtained by the first piezoelectric sensor is, for example, signal A, and the pulse detection signal obtained by the second piezoelectric sensor is, for example, signal B. The difference operation (A-B) between signal A and signal B is used as feature 1, and the ratio operation (A/B) between signal A and signal B is used as feature 2. In the LSTM network model, the relative position of the piezoelectric sensor and the brachial artery of the arm of the person to be detected is divided into four areas, such as area 1, area 2, area 3 and area 4 shown in FIG3.

When performing blood pressure detection, the values of feature 1 and feature 2 corresponding to each moment are input into the LSTM network model. Through the operation and analysis of the LSTM network model, the probability that the relative position of the piezoelectric sensor that obtains feature 1 and feature 2 at that moment and the brachial artery of the arm of the person to be detected are located in each area is obtained. For example, through the operation and analysis of the LSTM network model, the probability that the relative position of the piezoelectric sensor that obtains feature 1 and feature 2 at that moment and the brachial artery of the arm of the person to be detected are located in four areas, namely, area 1, area 2, area 3, and area 4, is obtained, which are respectively the first type probability, the second type probability, the third type probability, and the fourth type probability. Through the above four probability values, it is determined that the area corresponding to the maximum probability value is the relative position of the piezoelectric sensor and the brachial artery of the arm of the person to be detected. After determining the relative position of the piezoelectric sensor and the brachial artery of the arm of the person to be detected, based on the corresponding relationship between the relative position of the piezoelectric sensor and the brachial artery of the arm of the person to be detected and the compensation coefficient, the compensation coefficient corresponding to the pulse detection signal obtained by the piezoelectric sensor can be determined.

The technical solution provided by the embodiment of the present disclosure is to divide the circumference with the center point of the cross-section of the arm of the person to be detected as the center into multiple areas. Each area is correspondingly provided with a compensation coefficient corresponding to the pulse detection signal obtained by the piezoelectric sensor. Through the long short-term memory network model, based on the difference and the ratio, the probability value of the relative position of the piezoelectric sensor and the brachial artery of the arm of the person to be detected is determined in each area. The area corresponding to the maximum probability value is determined to be the relative position of the piezoelectric sensor and the brachial artery of the arm of the person to be detected. Based on the corresponding relationship between the relative position of the piezoelectric sensor and the brachial artery of the arm of the person to be detected and the compensation coefficient, the compensation coefficient corresponding to the pulse detection signal obtained by the piezoelectric sensor is determined. In this way, the relative position of the piezoelectric sensor and the brachial artery of the arm of the person to be detected can be accurately determined based on the trained long short-term memory network model, and the compensation coefficient corresponding to the pulse detection signal obtained by the piezoelectric sensor can be determined according to the preset corresponding relationship between the relative position of the piezoelectric sensor and the brachial artery of the arm of the person to be detected and the compensation coefficient. The technical solution provided by the embodiment of the present disclosure can accurately obtain the relative position of the piezoelectric sensor and the brachial artery of the person to be tested, and compensate the pulse detection signal according to the relative position, so as to obtain an accurate blood pressure detection value, reducing the professional operation requirements for the measurer. The method is simple and easy to implement.

The long short-term memory network model can determine the relative position of the piezoelectric sensor and the brachial artery of the arm of the person to be tested based on the difference between the pulse detection signal obtained by the first piezoelectric sensor and the pulse detection signal obtained by the second piezoelectric sensor, and the ratio of the pulse detection signal obtained by the first piezoelectric sensor to the pulse detection signal obtained by the second piezoelectric sensor. The present disclosure does not limit this.

FIG5 is a flow chart of another blood pressure detection method provided by an embodiment of the present disclosure. As shown in FIG5 , the method includes the following steps:

S110: Acquire a pulse detection signal through a piezoelectric sensor in the sphygmomanometer.

S220: Determine the corresponding distance of the pulse detection signal based on the relationship between the pulse detection signal and the distance.

Specifically, the corresponding distance of the pulse detection signal refers to: the distance between the location of the piezoelectric sensor that collects the pulse detection signal and the brachial artery of the arm of the person to be detected. Since the piezoelectric sensor mainly detects the pulse detection signal of the brachial artery of the arm of the person to be detected, the greater the distance between the location of the piezoelectric sensor of the pulse detection signal and the brachial artery of the arm of the person to be detected, the weaker the pulse detection signal detected by the piezoelectric sensor. The smaller the distance between the location of the piezoelectric sensor of the pulse detection signal and the brachial artery of the arm of the person to be detected, the stronger the pulse detection signal detected by the piezoelectric sensor. Therefore, the distance between the location of the piezoelectric sensor and the brachial artery of the arm of the person to be detected is related to the strength of the pulse detection signal, and the corresponding distance of the pulse detection signal can be determined based on the correspondence between the pulse detection signal and the distance between the location of the piezoelectric sensor and the brachial artery of the arm of the person to be detected.

S320: Determine the compensation coefficient corresponding to the corresponding distance of the pulse detection signal based on the corresponding relationship between the corresponding distance of the pulse detection signal and the compensation coefficient.

Specifically, the greater the distance between the location of the piezoelectric sensor that obtains the pulse detection signal and the brachial artery of the arm of the person to be detected, the weaker the pulse detection signal detected by the piezoelectric sensor, and the greater the compensation coefficient corresponding to the corresponding distance of the pulse detection signal. The smaller the distance between the location of the piezoelectric sensor that obtains the pulse detection signal and the brachial artery of the arm of the person to be detected, the stronger the pulse detection signal detected by the piezoelectric sensor, and the smaller the compensation coefficient corresponding to the corresponding distance of the pulse detection signal. Therefore, the corresponding relationship between the corresponding distance and the compensation coefficient can be preset according to the size of the corresponding distance of the pulse detection signal, and then the compensation coefficient corresponding to the corresponding distance of the pulse detection signal can be determined based on the corresponding relationship between the corresponding distance of the pulse detection signal and the compensation coefficient.

S410: Determine an actual pulse signal based on the compensation coefficient and the pulse detection signal.

S510: Determine a blood pressure detection value based on the actual pulse signal.

The technical solution provided by the embodiment of the present disclosure can determine the corresponding distance of the pulse detection signal based on the relationship between the pulse detection signal and the distance, that is, the corresponding distance of the pulse detection signal is determined by the correspondence between the distance between the position of the piezoelectric sensor and the brachial artery of the arm of the person to be detected and the strength of the pulse detection signal. According to the size of the corresponding distance, the correspondence between the corresponding distance and the compensation coefficient is preset, and the compensation coefficient corresponding to the corresponding distance of the pulse detection signal is determined according to the correspondence. Therefore, the technical solution provided by the embodiment of the present disclosure can accurately compensate the pulse detection signal according to the strength of the pulse detection signal, thereby reducing the professional operation requirements for the measurer and obtaining an accurate blood pressure detection value. The method is simple and easy to implement.

FIG6 is a flow chart of another blood pressure detection method provided by an embodiment of the present disclosure. As shown in FIG6 , the method includes the following steps:

S110: Acquire a pulse detection signal through a piezoelectric sensor in the sphygmomanometer.

S230: Determine the corresponding angle of the pulse detection signal based on the relationship between the pulse detection signal and the angle.

Specifically, the corresponding angle of the pulse detection signal refers to: the line between the center point of the position of the piezoelectric sensor that collects the pulse detection signal and the center point of the cross-section of the arm of the person to be detected is taken as the first straight line, and the line between the center point of the cross-section of the arm of the person to be detected and the center point of the brachial artery of the arm of the person to be detected is taken as the second straight line, and the angle between the first straight line and the second straight line is the corresponding angle of the pulse detection signal.

Exemplarily, Figure 7 is a schematic diagram of the structure of a cuff of a blood pressure monitor provided in an embodiment of the present disclosure. Combined with the structure of the cuff shown in Figure 7, the cuff is provided with a piezoelectric sensor Y. When the cuff is wrapped around the arm of a person to be tested for blood pressure testing, the cross-section of the cuff is circular, as shown in Figure 7, and the center of the cross-section of the cuff is the center point p of the cross-section of the arm of the person to be tested.

Exemplarily, the line between the center point of the position of the piezoelectric sensor Y that collects the pulse detection signal and the center point p of the cross-section of the arm of the person to be tested is taken as the first straight line a, and the line between the center point p of the cross-section of the arm of the person to be tested and the center point H of the brachial artery of the arm of the person to be tested is taken as the second straight line b, and the angle θ between the first straight line a and the second straight line b is the corresponding angle of the pulse detection signal.

The technical solution provided by the embodiments of the present disclosure is that the piezoelectric sensor detects the pulse detection signal of the brachial artery of the arm of the person to be detected. Therefore, the larger the corresponding angle of the pulse detection signal, the larger the distance between the position of the piezoelectric sensor that obtains the pulse detection signal and the brachial artery of the arm of the person to be detected, and the weaker the pulse detection signal detected by the piezoelectric sensor. The smaller the corresponding angle of the pulse detection signal, the smaller the distance between the position of the piezoelectric sensor that obtains the pulse detection signal and the brachial artery of the arm of the person to be detected, and the stronger the pulse detection signal detected by the piezoelectric sensor. Therefore, the size of the corresponding angle of the pulse detection signal is related to the strength of the pulse detection signal, and the corresponding angle of the pulse detection signal can be determined based on the relationship between the strength of the pulse detection signal and the size of the corresponding angle of the pulse detection signal.

S330: Determine the compensation coefficient corresponding to the corresponding angle of the pulse detection signal based on the corresponding relationship between the corresponding angle of the pulse detection signal and the compensation coefficient.

Among them, the larger the corresponding angle of the pulse detection signal, the larger the distance between the position of the piezoelectric sensor that obtains the pulse detection signal and the brachial artery of the arm of the person to be detected, and the weaker the pulse detection signal detected by the piezoelectric sensor, then the larger the compensation coefficient corresponding to the corresponding angle of the pulse detection signal. The smaller the corresponding angle of the pulse detection signal, the smaller the distance between the position of the piezoelectric sensor that obtains the pulse detection signal and the brachial artery of the arm of the person to be detected, and the stronger the pulse detection signal detected by the piezoelectric sensor, then the smaller the compensation coefficient corresponding to the corresponding angle of the pulse detection signal. Therefore, the corresponding relationship between the corresponding angle and the compensation coefficient can be preset according to the size of the corresponding angle of the pulse detection signal, and then the compensation coefficient corresponding to the corresponding angle of the pulse detection signal can be determined based on the corresponding relationship between the corresponding angle of the pulse detection signal and the compensation coefficient.

Exemplarily, in combination with the structural schematic diagram of dividing the cross-section of the arm of the person to be detected into multiple areas shown in FIG3, the circumference with the center point p of the cross-section of the arm of the person to be detected as the center can be divided into multiple areas, such as areas 1, 2, 3 and 4 shown in FIG3. For example, when the angle θ between the first straight line a and the second straight line b is located in area 1, the compensation coefficient corresponding to the corresponding angle of the pulse detection signal is, for example, 1. When the angle θ between the first straight line a and the second straight line b is located in area 2, the compensation coefficient corresponding to the corresponding angle of the pulse detection signal is, for example, 1/0.8. When the angle θ between the first straight line a and the second straight line b is located in area 3, the compensation coefficient corresponding to the corresponding angle of the pulse detection signal is, for example, 1/0.6. When the angle θ between the first straight line a and the second straight line b is located in area 4, the compensation coefficient corresponding to the corresponding angle of the pulse detection signal is, for example, 1/0.4.

S410: Determine an actual pulse signal based on the compensation coefficient and the pulse detection signal.

S510: Determine a blood pressure detection value based on the actual pulse signal.

The technical solution provided by the embodiment of the present disclosure can determine the corresponding angle of the pulse detection signal based on the relationship between the pulse detection signal and the angle, that is, the corresponding angle of the pulse detection signal is determined by the corresponding relationship between the size of the corresponding angle of the pulse detection signal and the strength of the pulse detection signal. According to the size of the corresponding angle, the corresponding relationship between the corresponding angle and the compensation coefficient is preset, and the compensation coefficient corresponding to the corresponding angle of the pulse detection signal is determined according to the corresponding relationship. Therefore, the technical solution provided by the embodiment of the present disclosure can accurately compensate the pulse detection signal according to the strength of the pulse detection signal, thereby reducing the professional operation requirements for the measurer, and obtaining an accurate blood pressure detection value. The method is simple and easy to implement.

In some embodiments, the sphygmomanometer includes a first piezoelectric sensor and a second piezoelectric sensor. The first piezoelectric sensor and the second piezoelectric sensor are sequentially arranged along the length direction of the cuff of the sphygmomanometer. FIG8 is a flow chart of another blood pressure detection method provided by an embodiment of the present disclosure. As shown in FIG8, the method includes the following steps:

S110: Obtain a pulse detection signal through a piezoelectric sensor in the sphygmomanometer.

S240: Based on the relationship between the pulse detection signal and the angle, determine the corresponding angles of the pulse detection signal acquired by the first piezoelectric sensor and the pulse detection signal acquired by the second piezoelectric sensor.

The center point of the line between the center point of the position of the first piezoelectric sensor and the center point of the position of the second piezoelectric sensor is taken as the first center point, and the line between the first center point and the center point of the cross section of the arm of the person to be tested is taken as the third straight line. The line between the center point of the cross section of the arm of the person to be tested and the center point of the brachial artery of the arm of the person to be tested is taken as the second straight line, and the angle between the third straight line and the second straight line is the corresponding angle of the pulse detection signal obtained by the first piezoelectric sensor and the pulse detection signal obtained by the second piezoelectric sensor.

Exemplarily, FIG9 is a schematic diagram of the structure of another cuff of a sphygmomanometer provided by an embodiment of the present disclosure. In combination with the structure of the cuff shown in FIG9 , the cuff is provided with a first piezoelectric sensor Y1 and a second piezoelectric sensor Y2. The first piezoelectric sensor Y1 and the second piezoelectric sensor Y2 are arranged in sequence along the length direction of the cuff of the sphygmomanometer. When the cuff is wrapped around the arm of the person to be tested for blood pressure detection, the cross section of the cuff is circular at this time, as shown in FIG9 , and the center of the cross section of the cuff is the center point p of the cross section of the arm of the person to be tested. The first piezoelectric sensor Y1 and the second piezoelectric sensor Y2 are arranged on a circumference with the center point p of the cross section of the arm of the person to be tested as the origin. The center point of the line between the center point of the position of the first piezoelectric sensor Y1 and the center point of the position of the second piezoelectric sensor Y2 is taken as the first center point z, and the line between the first center point z and the center point p of the cross section of the arm of the person to be tested is taken as the third straight line c. The line between the center point p of the cross-section of the arm of the person to be tested and the center point H of the brachial artery of the arm of the person to be tested is taken as the second straight line b, and the angle θ between the third straight line c and the second straight line b is the corresponding angle of the pulse detection signal obtained by the first piezoelectric sensor and the pulse detection signal obtained by the second piezoelectric sensor.

The technical solution provided by the embodiment of the present disclosure is that since the first piezoelectric sensor and the second piezoelectric sensor detect the pulse detection signal of the brachial artery of the arm of the person to be detected, the center point of the line between the center point of the position of the first piezoelectric sensor and the center point of the position of the second piezoelectric sensor is used as the first center point. Therefore, the larger the corresponding angle of the pulse detection signal, the larger the distance between the first center point and the brachial artery of the arm of the person to be detected, and the weaker the pulse detection signal detected by the first piezoelectric sensor and the second piezoelectric sensor. The smaller the corresponding angle of the pulse detection signal, the smaller the distance between the first center point and the brachial artery of the arm of the person to be detected, and the stronger the pulse detection signal detected by the first piezoelectric sensor and the second piezoelectric sensor. Therefore, the size of the corresponding angle of the pulse detection signal is related to the strength of the pulse detection signal, and the corresponding angle of the pulse detection signal obtained by the first piezoelectric sensor and the pulse detection signal obtained by the second piezoelectric sensor can be determined based on the relationship between the strength of the pulse detection signal and the size of the corresponding angle of the pulse detection signal.

S340: Based on the correspondence between the corresponding angle of the pulse detection signal and the compensation coefficient, determine the compensation coefficient corresponding to the corresponding angle of the pulse detection signal obtained by the first piezoelectric sensor and the pulse detection signal obtained by the second piezoelectric sensor.

Among them, the larger the corresponding angle of the pulse detection signal, the larger the distance between the first center point and the brachial artery of the arm of the person to be detected, the weaker the pulse detection signal detected by the first piezoelectric sensor and the second piezoelectric sensor, and the larger the compensation coefficient corresponding to the corresponding angle of the pulse detection signal. The smaller the corresponding angle of the pulse detection signal, the smaller the distance between the first center point and the brachial artery of the arm of the person to be detected, the stronger the pulse detection signal detected by the first piezoelectric sensor and the second piezoelectric sensor, and the smaller the compensation coefficient corresponding to the corresponding angle of the pulse detection signal. Therefore, the corresponding relationship between the corresponding angle and the compensation coefficient can be preset according to the size of the corresponding angle of the pulse detection signal, and then the compensation coefficient corresponding to the corresponding angle of the pulse detection signal obtained by the first piezoelectric sensor and the pulse detection signal obtained by the second piezoelectric sensor can be determined based on the corresponding relationship between the corresponding angle of the pulse detection signal and the compensation coefficient.

Exemplarily, in combination with the structural schematic diagram of dividing the cross-section of the arm of the person to be detected into multiple regions as shown in FIG3, the circumference with the center point p of the cross-section of the arm of the person to be detected as the center can be divided into multiple regions, such as regions 1, 2, 3 and 4 shown in FIG3. For example, when the corresponding angle θ of the pulse detection signal obtained by the first piezoelectric sensor and the pulse detection signal obtained by the second piezoelectric sensor is located in region 1, the compensation coefficient corresponding to the corresponding angle of the pulse detection signal obtained by the first piezoelectric sensor and the pulse detection signal obtained by the second piezoelectric sensor is, for example, 1. When the corresponding angle θ of the pulse detection signal obtained by the first piezoelectric sensor and the pulse detection signal obtained by the second piezoelectric sensor is located in region 2, the compensation coefficient corresponding to the corresponding angle of the pulse detection signal obtained by the first piezoelectric sensor and the pulse detection signal obtained by the second piezoelectric sensor is, for example, 1/0.8. When the corresponding angle θ of the pulse detection signal acquired by the first piezoelectric sensor and the corresponding angle of the pulse detection signal acquired by the second piezoelectric sensor is located in area 3, the compensation coefficient corresponding to the corresponding angle of the pulse detection signal acquired by the first piezoelectric sensor and the corresponding angle of the pulse detection signal acquired by the second piezoelectric sensor is, for example, 1/0.6. When the corresponding angle θ of the pulse detection signal acquired by the first piezoelectric sensor and the corresponding angle of the pulse detection signal acquired by the second piezoelectric sensor is located in area 4, the compensation coefficient corresponding to the corresponding angle of the pulse detection signal acquired by the first piezoelectric sensor and the corresponding angle of the pulse detection signal acquired by the second piezoelectric sensor is, for example, 1/0.4.

S410: Determine an actual pulse signal based on the compensation coefficient and the pulse detection signal.

S510: Determine a blood pressure detection value based on the actual pulse signal.

The technical solution provided by the embodiment of the present disclosure can determine the corresponding angle of the pulse detection signal based on the relationship between the pulse detection signal and the angle, that is, the corresponding angle of the pulse detection signal is determined by the corresponding relationship between the size of the corresponding angle of the pulse detection signal and the strength of the pulse detection signal. According to the size of the corresponding angle, the corresponding relationship between the corresponding angle and the compensation coefficient is preset, and the compensation coefficient corresponding to the corresponding angle of the pulse detection signal is determined according to the corresponding relationship. Therefore, the technical solution provided by the embodiment of the present disclosure can accurately compensate the pulse detection signal according to the strength of the pulse detection signal, thereby reducing the professional operation requirements for the measurer, and obtaining an accurate blood pressure detection value. The method is simple and easy to implement.

In some embodiments, step S410: determining the actual pulse signal based on the compensation coefficient and the pulse detection signal includes:

The product of the compensation coefficient and the pulse detection signal is determined to be the actual pulse signal value.

For example, in combination with FIG. 3 and FIG. 7, the circumference with the center point p of the cross section of the arm of the person to be detected as the center can be divided into multiple areas, such as areas 1, 2, 3 and 4 shown in FIG. 3. As shown in FIG. 7, for example, when the angle θ between the first straight line a and the second straight line b is located in area 1, the compensation coefficient corresponding to the corresponding angle of the pulse detection signal is, for example, 1, and the actual pulse signal value is the product of the pulse detection signal and the compensation coefficient.

When the angle θ between the first straight line a and the second straight line b is located in area 2, the compensation coefficient corresponding to the corresponding angle of the pulse detection signal is, for example, 1/0.8, and the actual pulse signal value is the product of the pulse detection signal and the compensation coefficient 1/0.8. When the angle θ between the first straight line a and the second straight line b is located in area 3, the compensation coefficient corresponding to the corresponding angle of the pulse detection signal is, for example, 1/0.6, and the actual pulse signal value is the product of the pulse detection signal and the compensation coefficient 1/0.6. When the angle θ between the first straight line a and the second straight line b is located in area 4, the compensation coefficient corresponding to the corresponding angle of the pulse detection signal is, for example, 1/0.4, and the actual pulse signal value is the product of the pulse detection signal and the compensation coefficient 1/0.4.

The technical solution provided by the embodiment of the present disclosure determines the product of the compensation coefficient and the pulse detection signal as the actual pulse signal value. The method is simple and easy to implement, and at the same time improves the accuracy of actual pulse signal detection.

The technical solution provided by the embodiment of the present disclosure obtains a pulse detection signal through a piezoelectric sensor in a sphygmomanometer. Based on the pulse detection signal, the relative position of the piezoelectric sensor and the brachial artery of the arm of the person to be detected is determined. Based on the relative position of the piezoelectric sensor and the brachial artery of the arm of the person to be detected, the compensation coefficient of the pulse detection signal is determined. By compensating the detected pulse detection signal, the actual pulse signal is determined based on the compensation coefficient and the pulse detection signal, and the blood pressure detection value is determined based on the actual pulse signal. Therefore, the technical solution provided by the embodiment of the present disclosure can accurately compensate the pulse detection signal according to the strength of the pulse detection signal. The technical solution provided by the embodiment of the present disclosure calculates the blood pressure detection value based on the compensated actual pulse signal, which can not only improve the calculation accuracy of the blood pressure detection value, but also reduce the professional operation requirements for the measurer when measuring blood pressure, and can obtain an accurate pulse detection signal without relying on the rich professional experience and skills of the measurer.

Corresponding to the blood pressure detection method provided by the embodiment of the present disclosure, the embodiment of the present disclosure also provides a blood pressure detection device. FIG10 is a structural block diagram of the blood pressure detection device provided by the embodiment of the present disclosure. As shown in FIG10, the blood pressure detection device includes a pulse detection signal acquisition module 10, a relative position determination module 20, a compensation coefficient determination module 30, an actual pulse signal determination module 40, and a blood pressure detection value determination module 50. The pulse detection signal acquisition module 10 is used to obtain a pulse detection signal through a piezoelectric sensor in a sphygmomanometer. The relative position determination module 20 is used to determine the relative position of the piezoelectric sensor and the brachial artery of the arm of the person to be detected based on the pulse detection signal. The compensation coefficient determination module 30 is used to determine the compensation coefficient of the pulse detection signal based on the relative position of the piezoelectric sensor and the brachial artery of the arm of the person to be detected. The actual pulse signal determination module 40 is used to determine the actual pulse signal based on the compensation coefficient and the pulse detection signal. The blood pressure detection value determination module 50 is used to determine the blood pressure detection value based on the actual pulse signal.

The blood pressure detection device disclosed in the above embodiments can execute the blood pressure detection method disclosed in the above embodiments, and has the same or corresponding beneficial effects. To avoid repetition, it will not be described again here.

The embodiment of the present disclosure also provides a blood pressure meter, including: one or more processors; a memory for storing one or more programs or instructions; the processor calls the programs or instructions stored in the memory to execute the steps of any of the above methods to achieve corresponding beneficial effects.

FIG11 is a schematic diagram of the hardware structure of an electronic device provided by an embodiment of the present disclosure. As shown in FIG11 , the electronic device includes one or more processors 601 and a memory 602 .

The processor 601 may be a central processing unit (CPU) or other forms of processing units having data processing capabilities and/or instruction execution capabilities, and may control other components in the electronic device to perform desired functions.

The memory 602 may include one or more computer program products, which may include various forms of computer-readable storage media, such as volatile memory and/or non-volatile memory. The volatile memory may include, for example, a random access memory (RAM) and/or a cache memory (cache), etc. The non-volatile memory may include, for example, a read-only memory (ROM), a hard disk, a flash memory, etc. One or more computer program instructions may be stored on the computer-readable storage medium, and the processor 601 may run the program instructions to implement the blood pressure detection method of the embodiment of the present disclosure described above, and/or other desired functions. Various contents such as pulse detection signals, compensation coefficients, actual pulse signals, etc. may also be stored in the computer-readable storage medium.

In one example, the electronic device may further include: an input device 603 and an output device 604, and these components are interconnected via a bus system and/or other forms of connection mechanisms (not shown).

The output device 604 can output various information to the outside, including the determined blood pressure detection value, etc. The output device 604 can include, for example, a display, a speaker, etc.

Of course, for simplicity, only some of the components related to the present disclosure in the electronic device are shown in FIG11 , and components such as a bus, an input/output interface, etc. are omitted. In addition, the electronic device may further include any other appropriate components according to specific application scenarios.

The embodiment of the present disclosure also provides a computer-readable storage medium, which stores a program or instruction, and the program or instruction enables a computer to execute the steps of any of the above methods.

Optionally, when executed by a computer processor, the computer executable instructions can also be used to execute the technical solution of any of the above-mentioned blood pressure detection methods provided in the embodiments of the present disclosure to achieve corresponding beneficial effects.

Through the above description of the implementation methods, the technicians in the relevant field can clearly understand that the embodiments of the present disclosure can be implemented with the help of software and necessary general-purpose hardware, and of course can also be implemented by hardware, but in many cases the former is a better implementation method. Based on this understanding, the technical solution of the embodiments of the present disclosure is essentially or the part that contributes to the prior art can be embodied in the form of a software product, and the computer software product can be stored in a computer-readable storage medium, such as a computer floppy disk, read-only memory (ROM), random access memory (RAM), flash memory (FLASH), hard disk or optical disk, etc., including a number of instructions to enable a computer device (which can be a personal computer, server, or network device, etc.) to execute the methods described in each embodiment of the present disclosure.

It should be noted that, in this article, relational terms such as "first" and "second" are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, the elements defined by the sentence "comprise a ..." do not exclude the existence of other identical elements in the process, method, article or device including the elements.

The above description is only a specific embodiment of the present disclosure, so that those skilled in the art can understand or implement the present disclosure. Various modifications to these embodiments will be apparent to those skilled in the art, and the general principles defined herein can be implemented in other embodiments without departing from the spirit or scope of the present disclosure. Therefore, the present disclosure will not be limited to the embodiments shown herein, but will conform to the widest scope consistent with the principles and novel features disclosed herein.

Industrial Applicability

The present disclosure provides a blood pressure detection method, device, sphygmomanometer and medium, which calculate the blood pressure detection value by using the compensated actual pulse signal, thereby effectively improving the calculation accuracy of the blood pressure detection value. At the same time, it reduces the professional operation requirements for the measurer when measuring blood pressure, and can obtain accurate pulse detection signals without relying on the measurer's rich professional experience and skills, and has strong industrial applicability.

Claims (10)

1. A blood pressure detection method, comprising:

   Acquire pulse detection signals through the piezoelectric sensor in the sphygmomanometer;

   Based on the pulse detection signal, determining the relative position of the piezoelectric sensor and the brachial artery of the arm of the person to be detected;

   Determining a compensation coefficient of the pulse detection signal based on the relative position of the piezoelectric sensor and the brachial artery of the arm of the person to be detected;

   determining an actual pulse signal based on the compensation coefficient and the pulse detection signal;

   A blood pressure detection value is determined based on the actual pulse signal.
2. The blood pressure detection method according to claim 1, characterized in that the piezoelectric sensor comprises a first piezoelectric sensor and a second piezoelectric sensor; the first piezoelectric sensor and the second piezoelectric sensor are arranged in sequence along the length direction of the cuff of the sphygmomanometer;

   Determining the relative position of the piezoelectric sensor and the brachial artery of the arm of the person to be detected based on the pulse detection signal includes:

   Based on the pulse detection signal acquired by the first piezoelectric sensor and the pulse detection signal acquired by the second piezoelectric sensor, determine the difference between the pulse detection signal acquired by the first piezoelectric sensor and the pulse detection signal acquired by the second piezoelectric sensor, and determine the ratio of the pulse detection signal acquired by the first piezoelectric sensor to the pulse detection signal acquired by the second piezoelectric sensor;

   Input the difference and the ratio into the trained long short-term memory network model to determine the relative position of each piezoelectric sensor and the brachial artery of the arm of the person to be tested;

   The compensation coefficient of the pulse detection signal is determined based on the relative position of each piezoelectric sensor and the brachial artery of the arm of the person to be detected, including:

   Based on the preset correspondence between the relative position of each piezoelectric sensor and the brachial artery of the arm of the person to be detected and the compensation coefficient, the compensation coefficient corresponding to the pulse detection signal obtained by the first piezoelectric sensor and the pulse detection signal obtained by the second piezoelectric sensor is determined.
3. The blood pressure detection method according to claim 2, characterized in that the training process of the long short-term memory network model comprises:

   Divide the circumference of a circle with the center point of the cross section of the arm of the person to be tested as the center into multiple areas;

   Based on the difference and the ratio, determining a probability value that the relative position of the piezoelectric sensor and the brachial artery of the arm of the person to be detected is located in each area;

   Determine that the area corresponding to the maximum probability value is the relative position of the piezoelectric sensor and the brachial artery of the arm of the person to be detected;

   Based on the corresponding relationship between the relative position of the piezoelectric sensor and the brachial artery of the arm of the person to be detected and the compensation coefficient, the compensation coefficient corresponding to the pulse detection signal obtained by the piezoelectric sensor is determined.
4. The blood pressure detection method according to claim 1 is characterized in that the step of determining the relative position of the piezoelectric sensor and the brachial artery of the arm of the person to be detected based on the pulse detection signal comprises:

   Based on the relationship between the pulse detection signal and the distance, determining the corresponding distance of the pulse detection signal;

   The method of determining the compensation coefficient of the pulse detection signal based on the relative position of the piezoelectric sensor and the brachial artery of the arm of the person to be detected includes:

   Determine the compensation coefficient corresponding to the corresponding distance of the pulse detection signal based on the corresponding relationship between the corresponding distance of the pulse detection signal and the compensation coefficient;

   Among them, the corresponding distance of the pulse detection signal refers to: the distance between the position of the piezoelectric sensor that collects the pulse detection signal and the brachial artery of the arm of the person to be tested; the greater the distance between the position of the piezoelectric sensor that collects the pulse detection signal and the brachial artery of the arm of the person to be tested, the greater the compensation coefficient corresponding to the corresponding distance of the pulse detection signal.
5. The blood pressure detection method according to claim 1 is characterized in that the step of determining the relative position of the piezoelectric sensor and the brachial artery of the arm of the person to be detected based on the pulse detection signal comprises:

   Based on the relationship between the pulse detection signal and the angle, determining the angle corresponding to the pulse detection signal;

   The method of determining the compensation coefficient of the pulse detection signal based on the relative position of the piezoelectric sensor and the brachial artery of the arm of the person to be detected includes:

   Determine the compensation coefficient corresponding to the corresponding angle of the pulse detection signal based on the corresponding relationship between the corresponding angle of the pulse detection signal and the compensation coefficient;

   Among them, the line between the center point of the position of the piezoelectric sensor that collects the pulse detection signal and the center point of the cross-section of the arm of the person to be detected is used as the first straight line, and the line between the center point of the cross-section of the arm of the person to be detected and the center point of the brachial artery of the arm of the person to be detected is used as the second straight line. The angle between the first straight line and the second straight line is the corresponding angle of the pulse detection signal; the larger the corresponding angle of the pulse detection signal, the larger the compensation coefficient corresponding to the corresponding angle of the pulse detection signal.
6. The blood pressure detection method according to claim 1 is characterized in that the sphygmomanometer comprises a first piezoelectric sensor and a second piezoelectric sensor; the first piezoelectric sensor and the second piezoelectric sensor are sequentially arranged along the length direction of the cuff of the sphygmomanometer;

   The determining, based on the pulse detection signal, the relative position of the piezoelectric sensor and the brachial artery of the arm of the person to be detected comprises:

   Based on the relationship between the pulse detection signal and the angle, determining the corresponding angles of the pulse detection signal acquired by the first piezoelectric sensor and the pulse detection signal acquired by the second piezoelectric sensor;

   The method of determining the compensation coefficient of the pulse detection signal based on the relative position of the piezoelectric sensor and the brachial artery of the arm of the person to be detected includes:

   Determining the compensation coefficient corresponding to the corresponding angle of the pulse detection signal obtained by the first piezoelectric sensor and the corresponding angle of the pulse detection signal obtained by the second piezoelectric sensor based on the corresponding relationship between the corresponding angle of the pulse detection signal and the compensation coefficient;

   Among them, the center point of the line between the center point of the position of the first piezoelectric sensor and the center point of the position of the second piezoelectric sensor is taken as the first center point, and the line between the first center point and the center point of the cross-section of the arm of the person to be tested is taken as the third straight line; the line between the center point of the cross-section of the arm of the person to be tested and the center point of the brachial artery of the arm of the person to be tested is taken as the second straight line, and the angle between the third straight line and the second straight line is the corresponding angle of the pulse detection signal obtained by the first piezoelectric sensor and the pulse detection signal obtained by the second piezoelectric sensor; the larger the corresponding angle of the pulse detection signal obtained by the first piezoelectric sensor and the pulse detection signal obtained by the second piezoelectric sensor, the larger the compensation coefficient corresponding to the corresponding angle of the pulse detection signal obtained by the first piezoelectric sensor and the pulse detection signal obtained by the second piezoelectric sensor.
7. The blood pressure detection method according to any one of claims 1 to 6, characterized in that the determining of the actual pulse signal based on the compensation coefficient and the pulse detection signal comprises:

   The product of the compensation coefficient and the pulse detection signal is determined as the actual pulse signal value.
8. A blood pressure detection device, comprising:

   A pulse detection signal acquisition module is used to acquire a pulse detection signal through a piezoelectric sensor in a sphygmomanometer;

   A relative position determination module, used to determine the relative position of the piezoelectric sensor and the brachial artery of the arm of the person to be detected based on the pulse detection signal;

   A compensation coefficient determination module, used to determine the compensation coefficient of the pulse detection signal based on the relative position of the piezoelectric sensor and the brachial artery of the arm of the person to be detected;

   an actual pulse signal determination module, configured to determine an actual pulse signal based on the compensation coefficient and the pulse detection signal;

   The blood pressure detection value determination module is used to determine the blood pressure detection value based on the actual pulse signal.
9. A sphygmomanometer, characterized by comprising:

   one or more processors;

   A memory for storing one or more programs or instructions;

   The processor is used to execute the steps of the method according to any one of claims 1 to 7 by calling the program or instruction stored in the memory.
10. A computer-readable storage medium, characterized in that the computer-readable storage medium stores a program or instruction, wherein the program or instruction enables a computer to execute the steps of the method as claimed in any one of claims 1 to 7.

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