Blood pressure calculation method and related device

Abstract

The invention is suitable for the technical field of data processing, provides a blood pressure calculation method applied to a wrist electronic sphygmomanometer and a related device, and can realize more accurate blood pressure measurement and calculation for a user. The method mainly comprises the following steps: acquiring a pulse signal of a target user through a wrist electronic sphygmomanometer; determining a crest value and a trough value of a pulse signal curve formed by the pulse signal; generating an envelope line of the wave peak value and the wave trough value of the pulse signal curve to obtain a pulse envelope line of the pulse signal curve; the pulse envelope line is processed according to a trained preset model, the target average arterial pressure of the target user is determined, and the preset model records the data conversion relation between the preset model and the standardized arm type electronic sphygmomanometer; the average arterial pressure as measured by a standardized rear arm type electronic sphygmomanometer can be calculated according to the pulse envelope line of the wrist type electronic sphygmomanometer; and calculating target systolic pressure and target diastolic pressure corresponding to the target user by using the target average arterial pressure.

Description

Technical Field

[0001] The present application belongs to the field of data processing technology, and in particular, relates to a blood pressure calculation method and related devices applied to a wrist electronic blood pressure monitor. Background Art

[0002] Blood pressure (BP) refers to the lateral pressure exerted on the blood vessel wall per unit area when blood flows in the blood vessels. Blood pressure is the driving force that pushes blood to flow in the blood vessels. In view of this, blood pressure can reflect human health and has important physiological significance. The level of blood pressure directly affects a person's physical health, especially for the elderly. Blood pressure can be used as one of the important indicators of the elderly's physical health.

[0003] The blood pressure measured on the human body is usually arterial blood pressure, which is divided into systolic pressure and diastolic pressure. With the popularity of electronic blood pressure monitors, people's blood pressure measurement has become simple and convenient. At present, electronic blood pressure monitors are mainly divided into: arm-type electronic blood pressure monitors, wrist-type electronic blood pressure monitors and other forms. Among them, the arm-type electronic blood pressure monitor measures the blood pressure of the user's arm to obtain the systolic and diastolic pressures. At present, the arm-type electronic blood pressure monitor can achieve a high measurement accuracy, but the arm-type electronic blood pressure monitor also has some scene usage defects. For example: the arm-type electronic blood pressure monitor is more suitable for measurement at home due to its large size, but it is not suitable for carrying blood pressure measurement outdoors at any time; the wrist-type electronic blood pressure monitor measures the blood pressure of the user's wrist to obtain the systolic and diastolic pressures. Compared with the arm-type electronic blood pressure monitor, the wrist-type electronic blood pressure monitor is designed for easy carrying and is much smaller in size, so the measurement accuracy of the blood pressure measurement on the user's wrist is much worse.

[0004] Although arm-type electronic blood pressure monitors can already achieve a relatively high blood pressure measurement accuracy, achieving accurate measurement and calculation of a user's blood pressure under limited volume conditions is a difficult problem that wrist-type electronic blood pressure monitors currently need to solve. Summary of the invention

[0005] The purpose of this application is to provide a blood pressure calculation method applied to a wrist electronic blood pressure monitor, which can achieve more accurate blood pressure measurement and calculation for users.

[0006] In a first aspect, the present application provides a blood pressure calculation method, which is applied to a wrist electronic blood pressure monitor, comprising: Acquiring the pulse signal of the target user through the wrist electronic blood pressure monitor; Determining the peak value and the trough value of the pulse signal curve formed by the pulse signal; Generate an envelope curve for the peak value and the trough value of the pulse signal curve to obtain a pulse envelope curve of the pulse signal curve; The pulse envelope is processed according to a trained preset model to determine the target mean arterial pressure of the target user, wherein the preset model is a conversion model that records the data conversion relationship between the wrist electronic sphygmomanometer and the standardized arm electronic sphygmomanometer, and the preset model can calculate the mean arterial pressure measured by the standardized arm electronic sphygmomanometer according to the pulse envelope of the wrist electronic sphygmomanometer; The target systolic pressure and the target diastolic pressure corresponding to the target user are calculated using the target mean arterial pressure.

[0007] Optionally, the training process of the preset model includes: A target arm-type electronic blood pressure monitor and a target wrist-type electronic blood pressure monitor are respectively used to measure the same arm of the same measured person within a preset time period to obtain a first blood pressure measurement signal corresponding to the target arm-type electronic blood pressure monitor and a second blood pressure measurement signal corresponding to the target wrist-type electronic blood pressure monitor; wherein the target arm-type electronic blood pressure monitor and the target wrist-type electronic blood pressure monitor are standardized devices, the target arm-type electronic blood pressure monitor is a certified device that can truly reflect the systolic and diastolic blood pressures of the measured person, the target wrist-type electronic blood pressure monitor is a device to be calibrated, the target wrist-type electronic blood pressure monitor is the wrist-type electronic blood pressure monitor or a device of the same model as the wrist-type electronic blood pressure monitor, and the preset time period is the shortest time required to ensure that the measured arm of the measured person can fully recover to normal; extracting a valid first pulse wave curve from a first measurement signal curve formed by the first blood pressure measurement signal, and extracting a valid second pulse wave curve from a second measurement signal curve formed by the second blood pressure measurement signal; Generate an envelope curve for the peak value and the trough value of the first pulse wave curve to obtain a first pulse envelope curve of the first pulse wave curve, and generate an envelope curve for the peak value and the trough value of the second pulse wave curve to obtain a second pulse envelope curve of the second pulse wave curve; Extract the first pressure value corresponding to the maximum value position from the first pulse envelope , extract the second pressure value corresponding to the maximum value position from the second pulse envelope ; The first pressure value With the second pressure value is considered as the mean arterial pressure of a group of the measured persons , }; Triggering the execution of the steps of measuring the same arm of the measured person using the target arm electronic blood pressure monitor and the target wrist electronic blood pressure monitor within a preset time period times, get The mean arterial pressure of the subjects in the group , }、{ , }、……、{ , }, is a positive integer greater than or equal to 1; right The mean arterial pressure of the measured person is fitted and calculated to obtain a fitting equation for converting mean arterial pressure data between the target arm-type electronic blood pressure monitor and the target wrist-type electronic blood pressure monitor; The fitting equation is regarded as the trained preset model.

[0008] Optional, yes The mean arterial pressure of the measured person is fitted and calculated to obtain a fitting equation for converting mean arterial pressure data between the target arm-type electronic blood pressure monitor and the target wrist-type electronic blood pressure monitor, including: Select the preset equation pair Performing fitting calculation on each group of the mean arterial pressure of the measured persons; Use the least squares method to find The mean arterial pressure of the subjects in the group , }、{ , }、……、{ , } to the preset equation ; Calculate the solution corresponding to the preset equation when the distance Q is minimum; The solution is used to clarify a final expression of the preset equation, and the final expression of the preset equation is the fitting equation.

[0009] Optionally, select a preset equation pair The mean arterial pressure of each group of the measured persons is fitted by calculation, including: Using a first-order polynomial equation The mean arterial pressure of the subjects in each group is fitted and calculated:

[0010] Among them, the Indicates a first pressure value corresponding to the target arm-type electronic blood pressure monitor; Said Indicates a second pressure value corresponding to the wrist electronic blood pressure monitor; Said A conversion coefficient representing a first pressure value corresponding to the target arm-type electronic blood pressure meter and a second pressure value corresponding to the wrist-type electronic blood pressure meter; The b represents a conversion deviation between a first pressure value corresponding to the target arm-type electronic blood pressure meter and a second pressure value corresponding to the wrist-type electronic blood pressure meter.

[0011] Optionally, use the least squares method to find The mean arterial pressure of the subjects in the group , }、{ , }、……、{ , } to the preset equation include: Use the least squares method to find The mean arterial pressure of the subjects in the group , }、{ , }、……、{ , } to the first-order polynomial equation :

[0012] Calculate the distance The solutions corresponding to the preset equation at the minimum include: Order With the The partial derivative of is 0:

[0013]

[0014] Said represents partial derivative; Said express The mean arterial pressure of the subjects in the group Group; Said express The mean arterial pressure of the subjects in the group The second pressure value corresponding to the group; Said express The mean arterial pressure of the subjects in the group The first pressure value corresponding to the group; Said Indicates that from The mean arterial pressure of the measured persons in the group corresponds to the pressure value to the Substituting the corresponding pressure values ​​of the mean arterial pressure of the measured persons in the group into the summation operation; The distance The formula is transformed to obtain:

[0015] Regarding the With the The partial derivative of 0, the distance Solve and simplify the deformation formula to obtain:

[0016]

[0017] Among them, the For the The arithmetic mean of Said For the The arithmetic mean of .

[0018] Optionally, the final expression of the preset equation is clarified by using the solution, and the final expression of the preset equation is the fitting equation including:

[0019] Among them, when When equal to 1, the Equal to the , Equal to the .

[0020] Optionally, the value of a is 0.4072, The value is 3537, and the fitting equation is as follows:

[0021] Among them, the Indicates a first pressure value corresponding to the target arm-type electronic blood pressure monitor; Said Indicates the second pressure value corresponding to the wrist electronic blood pressure monitor.

[0022] Optionally, processing the pulse envelope according to a trained preset model to determine the target mean arterial pressure of the target user includes: Extract the target pressure value corresponding to the maximum value position from the pulse envelope ; The target pressure value Substitute into the fitting equation to calculate the mean arterial pressure regarded as the target mean arterial pressure .

[0023] In a second aspect, the present application provides a blood pressure calculation system, which is applied to a wrist electronic blood pressure monitor, comprising: an acquisition unit, configured to acquire a pulse signal of a target user through the wrist electronic blood pressure monitor; A determination unit, used to determine the peak value and the trough value of the pulse signal curve formed by the pulse signal; A generating unit, configured to generate an envelope curve for the peak value and the trough value of the pulse signal curve to obtain a pulse envelope curve of the pulse signal curve; a processing unit, configured to process the pulse envelope according to a trained preset model to determine a target mean arterial pressure of the target user, wherein the preset model is a conversion model that records a data conversion relationship between the wrist electronic sphygmomanometer and a standardized arm electronic sphygmomanometer, and the preset model can calculate the mean arterial pressure based on the pulse envelope of the wrist electronic sphygmomanometer as if the arm electronic sphygmomanometer after standardization measures the mean arterial pressure; A calculation unit is used to calculate the target systolic pressure and the target diastolic pressure corresponding to the target user by using the target mean arterial pressure.

[0024] Optionally, the training process of the preset model by the processing unit is specifically used for: A target arm-type electronic blood pressure monitor and a target wrist-type electronic blood pressure monitor are respectively used to measure the same arm of the same measured person within a preset time period to obtain a first blood pressure measurement signal corresponding to the target arm-type electronic blood pressure monitor and a second blood pressure measurement signal corresponding to the target wrist-type electronic blood pressure monitor; wherein the target arm-type electronic blood pressure monitor and the target wrist-type electronic blood pressure monitor are standardized devices, the target arm-type electronic blood pressure monitor is a certified device that can truly reflect the systolic and diastolic blood pressures of the measured person, the target wrist-type electronic blood pressure monitor is a device to be calibrated, the target wrist-type electronic blood pressure monitor is the wrist-type electronic blood pressure monitor or a device of the same model as the wrist-type electronic blood pressure monitor, and the preset time period is the shortest time required to ensure that the measured arm of the measured person can fully recover to normal; extracting a valid first pulse wave curve from a first measurement signal curve formed by the first blood pressure measurement signal, and extracting a valid second pulse wave curve from a second measurement signal curve formed by the second blood pressure measurement signal; Generate an envelope curve for the peak value and the trough value of the first pulse wave curve to obtain a first pulse envelope curve of the first pulse wave curve, and generate an envelope curve for the peak value and the trough value of the second pulse wave curve to obtain a second pulse envelope curve of the second pulse wave curve; Extract the first pressure value corresponding to the maximum value position from the first pulse envelope , extract the second pressure value corresponding to the maximum value position from the second pulse envelope ; The first pressure value With the second pressure value is considered as the mean arterial pressure of a group of the measured persons , }; Triggering the execution of the steps of measuring the same arm of the measured person using the target arm electronic blood pressure monitor and the target wrist electronic blood pressure monitor within a preset time period times, get The mean arterial pressure of the subjects in the group , }、{ , }、……、{ , }, is a positive integer greater than or equal to 1; right The mean arterial pressure of the measured person is fitted and calculated to obtain a fitting equation for converting mean arterial pressure data between the target arm-type electronic blood pressure monitor and the target wrist-type electronic blood pressure monitor; The fitting equation is regarded as the trained preset model.

[0025] Optionally, the processing unit When performing fitting calculation on the mean arterial pressure of the measured person to obtain a fitting equation for converting mean arterial pressure data between the target arm-type electronic blood pressure monitor and the target wrist-type electronic blood pressure monitor, it is specifically used for: Select the preset equation pair Performing fitting calculation on each group of the mean arterial pressure of the measured persons; Use the least squares method to find The mean arterial pressure of the subjects in the group , }、{ , }、……、{ , } to the preset equation ; Calculate the solution corresponding to the preset equation when the distance Q is minimum; The solution is used to clarify a final expression of the preset equation, and the final expression of the preset equation is the fitting equation.

[0026] The processing unit selects a preset equation pair When performing fitting calculation on each group of the mean arterial pressure of the measured persons, it is specifically used for: Using a first-order polynomial equation The mean arterial pressure of the subjects in each group is fitted and calculated:

[0027] Among them, the Indicates a first pressure value corresponding to the target arm-type electronic blood pressure monitor; Said Indicates a second pressure value corresponding to the wrist electronic blood pressure monitor; Said A conversion coefficient representing a first pressure value corresponding to the target arm-type electronic blood pressure meter and a second pressure value corresponding to the wrist-type electronic blood pressure meter; The b represents a conversion deviation between a first pressure value corresponding to the target arm-type electronic blood pressure meter and a second pressure value corresponding to the wrist-type electronic blood pressure meter.

[0028] Optionally, the processing unit uses the least squares method to obtain The mean arterial pressure of the subjects in the group , }、{ , }、……、{ , } to the preset equation When, specifically used for: Use the least squares method to find The mean arterial pressure of the subjects in the group , }、{ , }、……、{ , } to the first-order polynomial equation :

[0029] Calculate the distance The solution corresponding to the preset equation at the minimum is: Order With the The partial derivative of is 0:

[0030]

[0031] Said represents partial derivative; Said express The mean arterial pressure of the subjects in the group Group; Said express The mean arterial pressure of the subjects in the group The second pressure value corresponding to the group; Said express The mean arterial pressure of the subjects in the group The first pressure value corresponding to the group; Said Indicates that from The mean arterial pressure of the measured persons in the group corresponds to the pressure value to the Substituting the corresponding pressure values ​​of the mean arterial pressure of the measured persons in the group into the summation operation; The distance The formula is transformed to obtain:

[0032] Regarding the With the The partial derivative of 0, the distance Solve and simplify the deformation formula to obtain:

[0033]

[0034] Among them, the For the The arithmetic mean of Said For the The arithmetic mean of .

[0035] Optionally, the processing unit uses the solution to determine a final expression of the preset equation, and when the final expression of the preset equation is the fitting equation, it is specifically used to:

[0036] Among them, when When equal to 1, the Equal to the , Equal to the .

[0037] Optionally, the value of a is 0.4072, The value is 3537, and the fitting equation is as follows:

[0038] Among them, the Indicates a first pressure value corresponding to the target arm-type electronic blood pressure monitor; Said Indicates the second pressure value corresponding to the wrist electronic blood pressure monitor.

[0039] Optionally, when the processing unit processes the pulse envelope according to the trained preset model to determine the target mean arterial pressure of the target user, it is specifically used to: Extract the target pressure value corresponding to the maximum value position from the pulse envelope ; The target pressure value Substitute into the fitting equation to calculate the target mean arterial pressure as the target mean arterial pressure .

[0040] In a third aspect, the present application provides a wrist electronic blood pressure monitor, comprising: Processor, memory, bus, network interface, display screen, micro air pump, power supply, air pressure sensor; The processor is connected to the memory, the network interface, the display screen, the micro air pump, and the air pressure sensor through the bus; The memory stores a program; When the processor executes the program stored in the memory, it performs any one of the blood pressure calculation methods described in the first aspect.

[0041] In a fourth aspect, the present application provides a computer storage medium, wherein the computer storage medium stores instructions, and when the instructions are executed by a computer device, the computer device executes the blood pressure calculation method as described in any one of the first aspects above.

[0042] In a fifth aspect, the present application provides a computer program product, which, when executed on a computer, enables the computer to execute the blood pressure calculation method as described in any one of the first aspects.

[0043] It can be seen from the above technical solutions that the embodiments of the present application have the following advantages: The present application is applied to a blood pressure calculation method for a wrist electronic sphygmomanometer, wherein the pulse signal of the target user is obtained through the wrist electronic sphygmomanometer; the peak value and the trough value of the pulse signal curve formed by the pulse signal are determined; the envelope of the peak value and the trough value of the pulse signal curve is generated to obtain the pulse envelope of the pulse signal curve; the pulse envelope is processed according to a trained preset model to determine the target mean arterial pressure of the target user, wherein the preset model is a conversion model that records the data conversion relationship between the wrist electronic sphygmomanometer and the standardized arm electronic sphygmomanometer, and the preset model can calculate the mean arterial pressure measured by the standardized rear arm electronic sphygmomanometer according to the pulse envelope of the wrist electronic sphygmomanometer; the target systolic pressure and the target diastolic pressure corresponding to the target user are calculated using the target mean arterial pressure. It can be seen that the present application can calculate the mean arterial pressure as accurate as the standardized rear arm electronic sphygmomanometer, and then use the target mean arterial pressure to calculate the target systolic pressure and the target diastolic pressure corresponding to the target user, which is also accurate and has reference value. BRIEF DESCRIPTION OF THE DRAWINGS

[0044] Figure 1 This is a flow chart of an embodiment of the blood pressure calculation method of the present application; Figure 2 This is a flow chart of another embodiment of the blood pressure calculation method of the present application.

[0045] Figure 3 This is a schematic diagram of the structure of an embodiment of the blood pressure calculation system of the present application; Figure 4 A schematic diagram of the structure of an embodiment of a computer device of the present application; Figure 5 It is a graph showing the change of the air pressure value of a person being measured by an arm-type electronic blood pressure monitor over time according to an embodiment of the present invention; Figure 6 A diagram showing the change of air pressure values ​​over time during the measurement process of a wrist-type electronic blood pressure monitor on a person being measured; Figure 7 for Figure 5 or Figure 6 A schematic diagram of an embodiment of a pulse signal after filtering and separation processing in the embodiment; Figure 8 A schematic diagram of an embodiment of using a fitting tool to perform data fitting. DETAILED DESCRIPTION

[0046] In order to make the purpose, technical solution and advantages of the present application more clearly understood, the present application is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0047] It should be noted that the arm-type electronic blood pressure monitor generally uses a deflation-type blood pressure measurement scheme to measure the user's blood pressure, that is, the armband airbag is inflated by an air pump so that the inflated armband airbag squeezes the user's arm. After the air pressure in the armband airbag reaches a certain pressure value, the inflation of the armband airbag is stopped, and the gas in the armband airbag is slowly released to the outside. During the process of slowly releasing the gas in the armband airbag, the user's blood pressure is measured and calculated. During this process, the pressure in the armband airbag is relatively stable and the air pump has stopped working. The air pressure signal (pulse signal) that reflects the user's pulse collected by the air pressure sensor of the armband electronic blood pressure monitor will not be greatly disturbed, and the air pressure signal obtained can directly reflect the changes in the user's pulse blood pressure. Because the arm-type electronic blood pressure monitor does not need to pay too much attention to the size limit of the device itself, a device for controlling inflation and deflation can be set inside the armband blood pressure monitor, and the cost is relatively low. Wrist-type electronic blood pressure monitors generally use a pressure-increasing blood pressure measurement scheme, that is, the wristband needs to be inflated by an air pump so that the inflated wristband squeezes the user's wrist, and the user's blood pressure is measured and calculated during the process of the wristband inflating and squeezing the user's wrist. Due to volume limitations, wrist-type electronic blood pressure monitors need to use a micro air pump instead of an ordinary air pump. In order to facilitate the user's carrying and try not to affect the user's travel, the wristband airbag of the wrist-type electronic blood pressure monitor is not very large, and the wristband airbag's gas capacity volume is not very large. Therefore, the wristband airbag deflation process will be relatively fast and the time will be relatively short. It is difficult to accurately control the deflation process, so the industry usually chooses to measure the user's blood pressure during the inflation stage.

[0048] When the wrist electronic blood pressure monitor measures the blood pressure on the user's wrist, a micro air pump is required to continuously inject gas into the wristband airbag to increase or maintain the pressure of the wristband on the user's wrist. At this time, the wristband airbag of the wrist electronic blood pressure monitor is in an unbalanced state (there is both the pressure relief effect of the wristband airbag deflation and the pressurization effect of the micro air pump inflation). The air pressure measured by the wristband airbag in this process is not stable enough compared to the air pressure measured by the arm-type electronic blood pressure monitor only during the airbag deflation process. This makes it impossible for the air pressure sensor of the wrist electronic blood pressure monitor to detect the actual pressure value very accurately, which is manifested as different degrees of deviation in the blood pressure value. If the pressure value measured by the air pressure sensor of the wrist electronic blood pressure monitor is directly used to calculate the user's blood pressure value, then the deviation between the calculated blood pressure value and the actual blood pressure value is too large, which has no reference value and is unacceptable.

[0049] In view of the above technical problems, the present application provides a wrist electronic blood pressure monitor, which at least includes: a central processing unit, a memory module, a communication module, a display module, a gas pressure regulating module, an air pressure sensor module, a power module, etc.; wherein the power module is mainly used to provide appropriate working voltages to the central processing unit, the memory module, the communication module, the display module, the gas pressure regulating module, the air pressure sensor module, etc.; the central processing unit mainly coordinates and processes the data of each module to implement the blood pressure calculation scheme of this embodiment; the memory module is mainly used to store preset models, air pressure measurement values ​​(pulse signal values), pulse signal curves, envelopes, mean arterial pressure, diastolic pressure, systolic pressure, etc. data; the communication module is mainly used to realize the external communication function of the wrist electronic blood pressure monitor, update and download preset models, etc.; the display module is mainly used to display the blood pressure related data uploaded by the central processing unit module, such as mean arterial pressure, diastolic pressure, systolic pressure and other data; the gas pressure regulation module usually includes a micro air pump, a wristband airbag, etc., which is mainly used to inflate the wristband airbag according to the start-up instruction of the central processing unit, and the wristband airbag has a normally open air hole with a fixed aperture. The pressure generated by the wristband airbag can be changed by controlling the inflation flow of the micro air pump; the air pressure sensor module is mainly used to detect the pressure value of the wristband airbag when the micro air pump is working stably to obtain the user's pulse signal.

[0050] Based on the above understanding, please refer to Figure 1 The blood pressure calculation method of the present application is applied to an embodiment of a wrist electronic blood pressure monitor, comprising: 101. Obtain the pulse signal of the target user through a wrist electronic blood pressure monitor.

[0051] This embodiment requires the target user to wear the wrist electronic blood pressure monitor correctly and start the blood pressure detection function so that the wrist electronic blood pressure monitor is in working state. Then the wrist electronic blood pressure monitor will start the micro air pump to inflate the wristband airbag regularly or in response to the user's instruction, so that the wristband airbag expands and squeezes the wrist of the target user. The pulse beating signal after the artery in the wrist is squeezed will be transmitted and fed back to squeeze the wristband airbag, so that the air pressure sensor in the wristband can obtain the pulse signal of the target user.

[0052] 102. Determine the peak value and the trough value of the pulse signal curve formed by the pulse signal.

[0053] The air pressure sensor of the wrist electronic blood pressure meter of this embodiment samples and records the pulse signal value of the target user at a certain frequency and stores it in the memory. The sampled pulse signal values ​​are separated by the same time interval. After the pulse signal values ​​are presented on a coordinate with time as the horizontal axis and pulse signal value as the vertical axis, the pulse signal values ​​are connected with a smooth line to form a pulse signal curve. The pulse signal curve has peak values ​​and trough values ​​reflecting the arterial beating signal of the target user.

[0054] 103. Generate an envelope curve for the peak value and the trough value of the pulse signal curve to obtain a pulse envelope curve of the pulse signal curve.

[0055] In the field of signal processing, signal envelope generation is a mature and important technology. Generating envelopes for pulse signal curves can help better understand the characteristics and trends of signals. The envelope of a pulse signal curve refers to the upper and lower boundary lines of the signal. The upper boundary line can be obtained by connecting the peak points of the pulse signal curve, and the lower boundary line can be obtained by connecting the valley points of the pulse signal curve.

[0056] 104. The pulse envelope is processed according to the trained preset model to determine the target mean arterial pressure of the target user.

[0057] The mean arterial pressure in this embodiment is defined as the pressure value at the maximum peak point of the pulse envelope. It should be noted that the preset model in this embodiment is a conversion model that has been trained to record the data conversion relationship between the wrist electronic sphygmomanometer and the standardized arm electronic sphygmomanometer. The preset model can calculate the mean arterial pressure based on the pulse envelope of the wrist electronic sphygmomanometer as if it were measured by the standardized arm electronic sphygmomanometer. The preset model is pre-stored in the memory of the wrist electronic sphygmomanometer. In this step, the target pressure value corresponding to the maximum value position (peak point) can be extracted from the pulse envelope; the target pressure value is substituted into the preset model to calculate the target mean arterial pressure.

[0058] 105. Calculate the target systolic blood pressure and target diastolic blood pressure corresponding to the target user using the target mean arterial pressure.

[0059] It is worth noting that using mean arterial pressure to calculate systolic and diastolic pressure is a relatively mature existing technology. For example, mean arterial pressure = (systolic pressure + 2 × diastolic pressure) / 3, which can also be expressed as: mean arterial pressure = diastolic pressure + 1 / 3 pulse pressure difference. The corresponding systolic and diastolic pressures can be calculated by using multiple sets of mean arterial pressure data. After the preset model can be used to accurately calculate the mean arterial pressure as measured by a standardized rear arm electronic sphygmomanometer in step 104, this step can more accurately use the target mean arterial pressure to calculate the target systolic and diastolic pressures corresponding to the target user.

[0060] It can be seen that the present application can calculate the mean arterial pressure as accurately as that measured by a standardized rear-arm electronic sphygmomanometer, and then use the target mean arterial pressure to calculate the target systolic and diastolic pressures corresponding to the target user, which is also accurate and has reference value.

[0061] See also Figure 2 Another embodiment of the blood pressure calculation method of the present application is applied to a wrist electronic blood pressure monitor, comprising: 201. Obtain the pulse signal of the target user through a wrist electronic blood pressure monitor.

[0062] This step is performed in the same way as above. Figure 1 The operations performed in step 101 of the embodiment are similar, and the repeated parts are not repeated here.

[0063] 202. Determine the peak value and the trough value of the pulse signal curve formed by the pulse signal.

[0064] This step is performed in the same way as above. Figure 1 The operations performed in step 102 of the embodiment are similar, and the repeated parts are not repeated here.

[0065] 203. Generate an envelope curve for the peak value and the trough value of the pulse signal curve to obtain a pulse envelope curve of the pulse signal curve.

[0066] This step is performed in the same way as above. Figure 1 The operations performed in step 103 of the embodiment are similar, and the repeated parts are not repeated here.

[0067] 204. Extract the target pressure value corresponding to the maximum value position from the pulse envelope.

[0068] In this step, the target pressure value corresponding to the maximum value position (peak point) can be extracted from the pulse envelope; the target pressure value is substituted into the preset model to calculate the target mean arterial pressure.

[0069] 205. Substitute the target pressure value into the fitting equation to calculate the target mean arterial pressure.

[0070] It is worth noting that the training process of the preset model in this embodiment includes the following: In this embodiment, the target arm electronic sphygmomanometer and the target wrist electronic sphygmomanometer can be used to measure the same arm of the same measured person within a preset time period, and a first blood pressure measurement signal corresponding to the target arm electronic sphygmomanometer and a second blood pressure measurement signal corresponding to the target wrist electronic sphygmomanometer can be obtained; wherein the target arm electronic sphygmomanometer and the target wrist electronic sphygmomanometer are strictly standardized devices, and the measurement process of the same measured person also needs to strictly collect data in accordance with the blood pressure measurement method specification, and the target arm electronic sphygmomanometer of this embodiment should be a standardized device that has been certified and can truly reflect the systolic and diastolic blood pressure of the measured person. The target wrist electronic sphygmomanometer of this embodiment is the device to be calibrated, and the target wrist electronic sphygmomanometer is the wrist electronic sphygmomanometer mentioned in this embodiment or a device of the same model as the wrist electronic sphygmomanometer mentioned in this embodiment. The above-mentioned preset time period should be the shortest time required to ensure that the measured arm of the measured person can fully recover to normal, that is, within the preset time period, this embodiment believes that the blood pressure fluctuation of the measured person is small, which is very important for fitting this embodiment.

[0071] When actually using an arm-type electronic sphygmomanometer to measure the blood pressure of a person being measured, before the measurement, the air pipe from the air pump to the arm-type airbag needs to be passed through a three-way adapter, so that one end of the three-way adapter is connected to the arm-type electronic sphygmomanometer, the second end of the three-way adapter is connected to the external pressure sensor, and the third end of the three-way adapter is connected back to the arm-type airbag, thus forming a closed system. At the same time, the pressure sensor can be used to obtain all the pressure value changes of the arm-type electronic sphygmomanometer during the measurement of the person being measured, and then the average arterial pressure in the deflation stage can be calculated and extracted. Please refer to Figure 5 as well as Figure 6 , Figure 5 The figure shows the change of air pressure value over time during the measurement process of the arm-type electronic blood pressure monitor on the measured person. Figure 6 The figure shows the change of air pressure value over time during the measurement process of the wrist electronic blood pressure monitor on the measured person. From the comparison of the two figures, it can be seen that the measurement process of the arm electronic blood pressure monitor on the measured person is quite different from that of the wrist electronic blood pressure monitor. The arm electronic blood pressure monitor obtains the pulse signal of blood pressure when the arm air bag is deflated. The air pump of the arm electronic blood pressure monitor inflates and pressurizes the arm air bag very quickly, and almost no effective pulse signal can be seen during the inflation process. The arm electronic blood pressure monitor is slow during the deflation process of the arm air bag, and it can be easily observed that the pulse signal of the measured person is loaded during the decompression process. Figure 5 The position shown in S10 is the pulse signal loaded in the air pressure signal, which first increases and then decreases following the change of the air pressure signal; please refer to Figure 6 The process of the wrist electronic blood pressure monitor inflating the wrist airbag with the micro-pump is relatively slow, while the process of deflating the wrist airbag is relatively fast. Figure 6 The position shown in S12 is the pulse signal loaded in the air pressure signal. It can be observed that the pulse signal of the person being measured changes from small to large and then to small during the pressure increase process. The arm-type electronic sphygmomanometer first shows systolic pressure and then diastolic pressure, while the wrist-type electronic sphygmomanometer first shows diastolic pressure and then systolic pressure. This is the difference between the two. It can also be seen that when the micro-air pump of the wrist-type electronic sphygmomanometer is in working state, the air pressure signal is not stable enough and is floating. Therefore, its air pressure signal cannot be directly used as the physiological signal parameter of the person being measured for blood pressure calculation. This is also the technical problem that needs to be solved in this embodiment. This embodiment fits the measurement data of the same person being measured by the above-mentioned arm-type electronic sphygmomanometer and the wrist-type electronic sphygmomanometer, and then obtains the data conversion relationship model between the two sphygmomanometers, so that the blood pressure can be accurately calculated.

[0072] See also Figure 7 , Figure 7 yes Figure 5 or Figure 6 The pulse signal in the pulse signal is filtered and then separated to form a pulse signal curve, where S14 is the peak point of the pulse signal curve, and S15 is the valley point of the pulse signal curve. Figure 7 The display shows the complete pulse signal changes in a typical blood pressure measurement process, which can form a typical pulse envelope. By finding S14 and S15, the amplitude of the effective pulse signal curve can be obtained. S13 is the envelope of the blood pressure measurement process obtained by taking the difference between S14 and S15. The amplitude of the pulse signal curve increases from small to large, and then begins to decrease after passing the maximum value, forming a complete envelope. S16 can be used as the position corresponding to the mean arterial pressure. The influence of the air pressure signal has been removed at this position point, and it represents the amplitude. Therefore, the value of the mean arterial pressure can be obtained by converting it to the pressure value again. Figure 7 It can represent the change of the envelope when the arm airbag of an arm electronic blood pressure monitor is deflated, and it can also represent the change of the envelope when the wrist airbag of a wrist electronic blood pressure monitor is inflated and the pressure is increased. The difference between the two is that along the X-axis time sequence, one pressure value shows a downward trend, and the other shows an upward trend. Therefore, the first half and the second half of the mean arterial pressure are represented differently. The wrist electronic blood pressure monitor shows diastolic pressure before the mean arterial pressure, and systolic pressure afterwards, while the arm electronic blood pressure monitor shows systolic pressure before the mean arterial pressure, and diastolic pressure afterwards. This needs to be clarified.

[0073] For example, see Figure 8 ,exist Figure 5 , Figure 6 as well as Figure 7After obtaining several valid groups of mean arterial pressure of the tested persons, fitting tools (such as fitting functions of the SciPy library in Python, Excel, etc.) can be used to process the groups of mean arterial pressure. Figure 8 Among the black scattered points, S21 is the obtained mean arterial pressure. It can be seen from the figure that the measurement results of the arm-type electronic blood pressure monitor and the wrist-type electronic blood pressure monitor on the same arm of the same person being measured in a short period of time are strongly correlated. The person with high blood pressure also has high mean arterial pressure, which is consistent with the theory of this embodiment. Figure 8 The X-axis S17 in the figure shows the mean arterial pressure measured by the wrist electronic blood pressure monitor, and the Y-axis S19 shows the mean arterial pressure measured by the arm electronic blood pressure monitor. This distribution also reflects that the pressure during the measurement process of the wrist electronic blood pressure monitor is unstable and in a floating state. Figure 8 The light-colored points on the left side of the scatter plot are abnormal error points S20, which are caused by reasons such as arm movement. These points need to be excluded during fitting and not included in the fitting process, otherwise they will affect the fitting equation. At the same time, some mean arterial pressure data that obviously do not meet the requirements should also be eliminated to reduce overfitting caused by errors. Figure 8 From the scatter plot distribution, it can be seen that this embodiment starts from the actual data and can use a simple polynomial fitting S18, Figure 8 The scattered points in have good linearity (the low pressure part is more obvious, and the high pressure part is not so obvious). Because the distribution in the high pressure part is more dispersed, it is not necessary to consider using segmented fitting, and use one equation to complete all the fitting processes. S18 represents polynomial fitting, where the polynomial is a first-order polynomial: , as described in the following embodiment. Confirmation of the equation This embodiment uses the least square method to solve, which is a mathematical optimization algorithm that finds the best function of data by minimizing the sum of squares of errors. The least square method can be used to obtain unknown data through samples, and the sum of squares of errors between the obtained data and the actual data is minimized.

[0074] Specifically, the present embodiment extracts a valid first pulse wave curve from a first measurement signal curve formed by a first blood pressure measurement signal, and extracts a valid second pulse wave curve from a second measurement signal curve formed by a second blood pressure measurement signal; generates an envelope curve for the peak value and the trough value of the first pulse wave curve to obtain a first pulse envelope curve of the first pulse wave curve, and generates an envelope curve for the peak value and the trough value of the second pulse wave curve to obtain a second pulse envelope curve of the second pulse wave curve; extracts a first pressure value corresponding to the maximum value position from the first pulse envelope curve , extract the second pressure value corresponding to the maximum value position from the second pulse envelope ; Set the first pressure value With the second pressure value is considered as the mean arterial pressure of a group of subjects , }; This embodiment can trigger the execution of the step of "using the target arm electronic blood pressure meter and the target wrist electronic blood pressure meter to measure the same arm of the measured person within a preset time period" times, you can get The mean arterial pressure of the group of subjects , }、{ , }、……、{ , },in is a positive integer greater than or equal to 1; By fitting the mean arterial pressure of the group of measured persons, a fitting equation for converting the mean arterial pressure data between the target arm electronic blood pressure monitor and the target wrist electronic blood pressure monitor can be obtained; and the fitting equation is regarded as the trained preset model mentioned above.

[0075] In this embodiment, the mean arterial pressure of the n groups of measured persons is fitted and calculated to obtain a fitting equation for converting mean arterial pressure data between the target arm-type electronic blood pressure monitor and the target wrist-type electronic blood pressure monitor, which may specifically include: selecting a preset equation for The mean arterial pressure of each group of subjects is fitted and calculated; the least squares method is used to obtain The mean arterial pressure of the group of subjects , }、{ , }、……、{ , }The distance from the point to the preset equation ; Calculate the solution corresponding to the preset equation when the distance Q is minimum; Use the solution to clarify the final expression of the preset equation, and the final expression of the preset equation is the fitting equation.

[0076] Among them, the selected preset equation pair The process of performing fitting calculation on each group of the mean arterial pressure of the measured persons comprises: Using a first-order polynomial equation The mean arterial pressure of each group of subjects is fitted:

[0077] in, Indicates the first pressure value corresponding to the target arm-type electronic blood pressure monitor; Indicates the second pressure value corresponding to the wrist electronic blood pressure monitor; represents the conversion coefficient between the first pressure value corresponding to the target arm-type electronic blood pressure monitor and the second pressure value corresponding to the wrist-type electronic blood pressure monitor; b represents the conversion deviation between the first pressure value corresponding to the target arm-type electronic blood pressure monitor and the second pressure value corresponding to the wrist electronic blood pressure monitor.

[0078] Among them, the least squares method is used to obtain The mean arterial pressure of the group of subjects , }、{ , }、……、{ , }The distance from the point to the preset equation The process includes: Use the least squares method to find The mean arterial pressure of the group of subjects , }、{ , }、……、{ , } to the first-degree polynomial equation :

[0079] in , , …, and , , …, is known, that is, the mean arterial pressure of the wrist electronic sphygmomanometer and the mean arterial pressure of the arm electronic sphygmomanometer that have been obtained before; according to the following formula, the problem to be solved becomes The minimum value of Q, that is, finding a and b can minimize the value of Q; Calculating distance The solutions corresponding to the preset equations at the minimum time include: make and The partial derivative of is 0:

[0080]

[0081] in, represents partial derivative; express The mean arterial pressure of the subjects in the group Group; express The mean arterial pressure of the subjects in the group The second pressure value corresponding to the group; express The mean arterial pressure of the subjects in the group The first pressure value corresponding to the group; Indicates that from The mean arterial pressure of the group of subjects corresponds to the pressure value of Substitute the corresponding pressure value of the mean arterial pressure of the group of tested persons into the summation operation; Distance The formula is transformed to obtain:

[0082] in, , represents the ideal conversion relationship between wrist electronic blood pressure monitor and arm electronic blood pressure monitor in measurement; right and Partial derivatives and distances equal to 0 Solve and simplify the deformation formula to obtain:

[0083]

[0084]

[0085]

[0086] in, for The arithmetic mean of for The arithmetic mean of .

[0087] The solution is used to determine the final expression of the preset equation, and the final expression of the preset equation is a process of fitting the equation, including:

[0088] Among them, when When it is equal to 1, equal , equal .

[0089] In another possible embodiment, the parameters in the polynomial can be obtained by the above formula: and The corresponding polynomial linear function is obtained. In order to conveniently calculate the parameters of the equation, the present embodiment can use the corresponding fitting tool to solve it, such as Figure 8Bring the X-axis and Y-axis parameters into the fitting tool, select polynomial fitting and a linear equation, and you can get the required fitting equation S22. Studies have shown that the value of a is 0.4072. Take the value 3537, and the fitting equation is as follows:

[0090] in, Indicates the first pressure value corresponding to the target arm-type electronic blood pressure monitor; Represents the second pressure value corresponding to the wrist electronic blood pressure monitor. The above fitting equation, as an important parameter in the blood pressure measurement of the wrist electronic blood pressure monitor, can be directly integrated into the algorithm as a preset model to calculate the systolic and diastolic blood pressure of the user. The fitting formula is crucial to the final accuracy of the systolic and diastolic blood pressure. After obtaining the above fitting formula, the training of the preset model of this implementation is completed, and the wrist electronic blood pressure monitor does not need to be calibrated subsequently. The wrist electronic blood pressure monitor can be used for blood pressure measurement alone. At this time, the wrist electronic blood pressure monitor is based on the above Figure 1 The embodiment is that systolic and diastolic blood pressure with reference value can be obtained.

[0091] 206. Calculate the target systolic blood pressure and the target diastolic blood pressure corresponding to the target user using the target mean arterial pressure.

[0092] This step is performed in the same way as above. Figure 1 The operations performed in step 104 of the embodiment are similar, and the repeated parts are not repeated here.

[0093] The above embodiment describes an embodiment of the blood pressure calculation method of the present application applied to a wrist electronic blood pressure meter. The following describes an embodiment of the blood pressure calculation system of the present application applied to a wrist electronic blood pressure meter. Figure 3 ,include: An acquisition unit 301 is used to acquire a pulse signal of a target user through the wrist electronic blood pressure monitor; A determination unit 302, configured to determine a peak value and a trough value of a pulse signal curve formed by the pulse signal; A generating unit 303, configured to generate an envelope curve for the peak value and the trough value of the pulse signal curve to obtain a pulse envelope curve of the pulse signal curve; The processing unit 304 is used to process the pulse envelope according to a trained preset model to determine the target mean arterial pressure of the target user, wherein the preset model is a conversion model that records the data conversion relationship between the wrist electronic blood pressure monitor and the standardized arm electronic blood pressure monitor, and the preset model can calculate the mean arterial pressure measured by the standardized arm electronic blood pressure monitor according to the pulse envelope of the wrist electronic blood pressure monitor; The calculation unit 305 is used to calculate the target systolic pressure and the target diastolic pressure corresponding to the target user by using the target mean arterial pressure.

[0094] Optionally, the training process of the preset model by the processing unit 304 is specifically used for: A target arm-type electronic blood pressure monitor and a target wrist-type electronic blood pressure monitor are respectively used to measure the same arm of the same measured person within a preset time period to obtain a first blood pressure measurement signal corresponding to the target arm-type electronic blood pressure monitor and a second blood pressure measurement signal corresponding to the target wrist-type electronic blood pressure monitor; wherein the target arm-type electronic blood pressure monitor and the target wrist-type electronic blood pressure monitor are standardized devices, the target arm-type electronic blood pressure monitor is a certified device that can truly reflect the systolic and diastolic blood pressures of the measured person, the target wrist-type electronic blood pressure monitor is a device to be calibrated, the target wrist-type electronic blood pressure monitor is the wrist-type electronic blood pressure monitor or a device of the same model as the wrist-type electronic blood pressure monitor, and the preset time period is the shortest time required to ensure that the measured arm of the measured person can fully recover to normal; extracting a valid first pulse wave curve from a first measurement signal curve formed by the first blood pressure measurement signal, and extracting a valid second pulse wave curve from a second measurement signal curve formed by the second blood pressure measurement signal; Generate an envelope curve for the peak value and the trough value of the first pulse wave curve to obtain a first pulse envelope curve of the first pulse wave curve, and generate an envelope curve for the peak value and the trough value of the second pulse wave curve to obtain a second pulse envelope curve of the second pulse wave curve; Extract the first pressure value corresponding to the maximum value position from the first pulse envelope , extract the second pressure value corresponding to the maximum value position from the second pulse envelope ; The first pressure value With the second pressure value is considered as the mean arterial pressure of a group of the measured persons , }; Triggering the execution of the steps of measuring the same arm of the measured person using the target arm electronic blood pressure monitor and the target wrist electronic blood pressure monitor within a preset time period times, get The mean arterial pressure of the subjects in the group , }、{ , }、……、{ , }, is a positive integer greater than or equal to 1; right The mean arterial pressure of the measured person is fitted and calculated to obtain a fitting equation for converting mean arterial pressure data between the target arm-type electronic blood pressure monitor and the target wrist-type electronic blood pressure monitor; The fitting equation is regarded as the trained preset model.

[0095] Optionally, the processing unit 304 When performing fitting calculation on the mean arterial pressure of the measured person to obtain a fitting equation for converting mean arterial pressure data between the target arm-type electronic blood pressure monitor and the target wrist-type electronic blood pressure monitor, it is specifically used for: Select the preset equation pair Performing fitting calculation on each group of the mean arterial pressure of the measured persons; Use the least squares method to find The mean arterial pressure of the subjects in the group , }、{ , }、……、{ , } to the preset equation ; Calculate the solution corresponding to the preset equation when the distance Q is minimum; The solution is used to clarify a final expression of the preset equation, and the final expression of the preset equation is the fitting equation.

[0096] The processing unit 304 selects a preset equation pair When performing fitting calculation on each group of the mean arterial pressure of the measured persons, it is specifically used for: Using a first-order polynomial equation The mean arterial pressure of the subjects in each group is fitted and calculated:

[0097] Among them, the Indicates a first pressure value corresponding to the target arm-type electronic blood pressure monitor; Said Indicates a second pressure value corresponding to the wrist electronic blood pressure monitor; Said A conversion coefficient representing a first pressure value corresponding to the target arm-type electronic blood pressure meter and a second pressure value corresponding to the wrist-type electronic blood pressure meter; The b represents a conversion deviation between a first pressure value corresponding to the target arm-type electronic blood pressure meter and a second pressure value corresponding to the wrist-type electronic blood pressure meter.

[0098] Optionally, the processing unit 304 uses the least squares method to obtain The mean arterial pressure of the subjects in the group , }、{ , }、……、{ , } to the preset equation When, specifically used for: Use the least squares method to find The mean arterial pressure of the subjects in the group , }、{ , }、……、{ , } to the first-order polynomial equation :

[0099] Calculate the distance The solution corresponding to the preset equation at the minimum is: Order With the The partial derivative of is 0:

[0100]

[0101] Said represents partial derivative; Said express The mean arterial pressure of the subjects in the group Group; Said express The mean arterial pressure of the subjects in the group The second pressure value corresponding to the group; Said express The mean arterial pressure of the subjects in the group The first pressure value corresponding to the group; Said Indicates that from The mean arterial pressure of the measured persons in the group corresponds to the pressure value to the Substituting the corresponding pressure values ​​of the mean arterial pressure of the measured persons in the group into the summation operation; The distance The formula is transformed to obtain:

[0102] Regarding the With the The partial derivative of 0, the distance Solve and simplify the deformation formula to obtain:

[0103]

[0104] Among them, the For the The arithmetic mean of Said For the The arithmetic mean of .

[0105] Optionally, the processing unit uses the solution to determine a final expression of the preset equation, and when the final expression of the preset equation is the fitting equation, it is specifically used to:

[0106] Among them, when When equal to 1, the Equal to the , Equal to the .

[0107] Optionally, the value of a is 0.4072, The value is 3537, and the fitting equation is as follows:

[0108] Among them, the Indicates a first pressure value corresponding to the target arm-type electronic blood pressure monitor; Said Indicates the second pressure value corresponding to the wrist electronic blood pressure monitor.

[0109] Optionally, when the processing unit 304 processes the pulse envelope according to the trained preset model to determine the target mean arterial pressure of the target user, it is specifically used to: Extract the target pressure value corresponding to the maximum value position from the pulse envelope ; The target pressure value Substitute into the fitting equation to calculate the target mean arterial pressure as the target mean arterial pressure .

[0110] The operation performed by the blood pressure calculation system of this embodiment is similar to the above Figure 1 or Figure 2The operations performed in the embodiment are similar, and the repeated parts will not be repeated here.

[0111] The computer device in the embodiment of the present application is described below. Figure 4 , an embodiment of the computer device in the embodiment of the present application includes: The computer device 400 may include one or more processors (central processing units, CPU) 401 and a memory 402, and one or more application programs or data are stored in the memory 402. Among them, the memory 402 is a volatile storage or a persistent storage. The program stored in the memory 402 may include one or more modules, and each module may include a series of instruction operations in the computer device. Furthermore, the processor 401 can be configured to communicate with the memory 402 and execute a series of instruction operations in the memory 402 on the computer device 400. The computer device 400 may also include: one or more wireless network interfaces 403, one or more display screens 404, and / or, one or more micro air pumps 405, and / or, one or more power supplies 406, and / or, one or more air pressure sensors 407, and / or, one or more operating systems, such as Harmony OS, Windows Server, Mac OS, Unix, Linux, FreeBSD, etc. The processor 401 can execute the aforementioned Figure 1 or Figure 2 The operations performed in any of the illustrated embodiments will not be described in detail here.

[0112] In several embodiments provided in the embodiments of the present application, those skilled in the art should understand that the disclosed systems, devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic. For example, the division of the unit is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be an indirect coupling or communication connection through some interfaces, devices or units, which can be electrical, mechanical or other forms.

[0113] In addition, each functional unit in each embodiment of the present application can be integrated into a processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The above-mentioned integrated unit can be implemented in the form of hardware or in the form of a software functional unit. If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application is essentially or part of the contribution to the prior art or all or part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including several instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the methods of each embodiment of the present application. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, read-only memory), random access memory (RAM, random access memory), disk or optical disk and other media that can store program code.

[0114] The above description is only a preferred embodiment of the present application and is not intended to limit the present application. Any modifications, equivalent substitutions or improvements made within the spirit and principles of the present application should be included in the protection scope of the present application.

Claims

1. A blood pressure calculation method, characterized in that: Applied to wrist electronic blood pressure monitors, including: Acquiring the pulse signal of the target user through the wrist electronic blood pressure monitor; Determining the peak value and the trough value of the pulse signal curve formed by the pulse signal; Generate an envelope curve for the peak value and the trough value of the pulse signal curve to obtain a pulse envelope curve of the pulse signal curve; The pulse envelope is processed according to a trained preset model to determine the target mean arterial pressure of the target user, wherein the preset model is a conversion model that records the data conversion relationship between the wrist electronic sphygmomanometer and the standardized arm electronic sphygmomanometer, and the preset model can calculate the mean arterial pressure measured by the standardized arm electronic sphygmomanometer according to the pulse envelope of the wrist electronic sphygmomanometer; The target mean arterial pressure is used to calculate the target systolic pressure and the target diastolic pressure corresponding to the target user.

2. The blood pressure calculation method according to claim 1, characterized in that: The training process of the preset model includes: A target arm-type electronic blood pressure monitor and a target wrist-type electronic blood pressure monitor are respectively used to measure the same arm of the same measured person within a preset time period to obtain a first blood pressure measurement signal corresponding to the target arm-type electronic blood pressure monitor and a second blood pressure measurement signal corresponding to the target wrist-type electronic blood pressure monitor; wherein the target arm-type electronic blood pressure monitor and the target wrist-type electronic blood pressure monitor are standardized devices, the target arm-type electronic blood pressure monitor is a certified device that can truly reflect the systolic and diastolic blood pressures of the measured person, the target wrist-type electronic blood pressure monitor is a device to be calibrated, the target wrist-type electronic blood pressure monitor is the wrist-type electronic blood pressure monitor or a device of the same model as the wrist-type electronic blood pressure monitor, and the preset time period is the shortest time required to ensure that the measured arm of the measured person can fully recover to normal; extracting a valid first pulse wave curve from a first measurement signal curve formed by the first blood pressure measurement signal, and extracting a valid second pulse wave curve from a second measurement signal curve formed by the second blood pressure measurement signal; Generate an envelope curve for the peak value and the trough value of the first pulse wave curve to obtain a first pulse envelope curve of the first pulse wave curve, and generate an envelope curve for the peak value and the trough value of the second pulse wave curve to obtain a second pulse envelope curve of the second pulse wave curve; Extract the first pressure value corresponding to the maximum value position from the first pulse envelope , extract the second pressure value corresponding to the maximum value position from the second pulse envelope ; The first pressure value With the second pressure value The mean arterial pressure of a group of subjects is considered ; Triggering the execution of the steps of measuring the same arm of the measured person using the target arm electronic blood pressure monitor and the target wrist electronic blood pressure monitor within a preset time period times, get The mean arterial pressure of the subjects in the group , }、{ , }、……、{ , }, is a positive integer greater than or equal to 1; right The mean arterial pressure of the measured person is fitted and calculated to obtain a fitting equation for converting mean arterial pressure data between the target arm-type electronic blood pressure monitor and the target wrist-type electronic blood pressure monitor; The fitting equation is regarded as the trained preset model.

3. The blood pressure calculation method according to claim 2, characterized in that: right The mean arterial pressure of the measured person is fitted and calculated to obtain a fitting equation for converting mean arterial pressure data between the target arm-type electronic blood pressure monitor and the target wrist-type electronic blood pressure monitor, including: Select the preset equation pair Performing fitting calculation on each group of the mean arterial pressure of the measured persons; Use the least squares method to find The mean arterial pressure of the subjects in the group , }、{ , }、……、{ , } to the preset equation ; Calculate the solution corresponding to the preset equation when the distance Q is minimum; The solution is used to clarify a final expression of the preset equation, and the final expression of the preset equation is the fitting equation.

4. The blood pressure calculation method according to claim 3, characterized in that: Select the preset equation pair The fitting calculation for each group of the mean arterial pressure of the measured persons includes: Using a first-order polynomial equation The mean arterial pressure of the subjects in each group is fitted and calculated: ; Among them, the Indicates a first pressure value corresponding to the target arm-type electronic blood pressure monitor; Said Indicates a second pressure value corresponding to the wrist electronic blood pressure monitor; Said A conversion coefficient representing a first pressure value corresponding to the target arm-type electronic blood pressure meter and a second pressure value corresponding to the wrist-type electronic blood pressure meter; The b represents a conversion deviation between a first pressure value corresponding to the target arm-type electronic blood pressure meter and a second pressure value corresponding to the wrist-type electronic blood pressure meter.

5. The blood pressure calculation method according to claim 4, characterized in that: Use the least squares method to find The mean arterial pressure of the subjects in the group , }、{ , }、……、{ , } to the preset equation include: Use the least squares method to find The mean arterial pressure of the subjects in the group , }、{ , }、……、{ , } to the first-order polynomial equation : ； Calculate the distance The solutions corresponding to the preset equation at the minimum include: Order With the The partial derivative of is 0: ； ； Said represents partial derivative; Said express The mean arterial pressure of the subjects in the group Group; Said express The mean arterial pressure of the subjects in the group The second pressure value corresponding to the group; Said express The mean arterial pressure of the subjects in the group The first pressure value corresponding to the group; Said Indicates that from The mean arterial pressure of the measured persons in the group corresponds to the pressure value to the Substituting the corresponding pressure values ​​of the mean arterial pressure of the measured persons in the group into the summation operation; The distance The formula is transformed to obtain: ； Regarding the With the The partial derivative of 0, the distance Solve and simplify the deformation formula to obtain: ； ； Among them, the For the The arithmetic mean of Said For the The arithmetic mean of .

6. The blood pressure calculation method according to claim 5, characterized in that: The final expression of the preset equation is clarified by using the solution, and the final expression of the preset equation is the fitting equation including: ； Among them, when When equal to 1, the Equal to the , Equal to the .

7. The blood pressure calculation method according to claim 6, characterized in that: The value of a is 0.4072, The value is 3537, and the fitting equation is as follows: ； Among them, the Indicates a first pressure value corresponding to the target arm-type electronic blood pressure monitor; Said Indicates the second pressure value corresponding to the wrist electronic blood pressure monitor.

8. The blood pressure calculation method according to any one of claims 3 to 7, characterized in that: Processing the pulse envelope according to the trained preset model to determine the target mean arterial pressure of the target user includes: Extract the target pressure value corresponding to the maximum value position from the pulse envelope ; The target pressure value Substitute into the fitting equation to calculate the mean arterial pressure regarded as the target mean arterial pressure .

9. A blood pressure calculation system, characterized in that: Applied to wrist electronic blood pressure monitors, including: an acquisition unit, configured to acquire a pulse signal of a target user through the wrist electronic blood pressure monitor; A determination unit, used to determine the peak value and the trough value of the pulse signal curve formed by the pulse signal; A generating unit, configured to generate an envelope curve for the peak value and the trough value of the pulse signal curve to obtain a pulse envelope curve of the pulse signal curve; a processing unit, configured to process the pulse envelope according to a trained preset model to determine a target mean arterial pressure of the target user, wherein the preset model is a conversion model that records a data conversion relationship between the wrist electronic sphygmomanometer and a standardized arm electronic sphygmomanometer, and the preset model can calculate the mean arterial pressure based on the pulse envelope of the wrist electronic sphygmomanometer as if the arm electronic sphygmomanometer after standardization measures the mean arterial pressure; A calculation unit is used to calculate the target systolic pressure and the target diastolic pressure corresponding to the target user by using the target mean arterial pressure.

10. A wrist electronic blood pressure monitor, characterized in that: include: Processor, memory, bus, network interface, display screen, micro air pump, power supply, air pressure sensor; The processor is connected to the memory, the network interface, the display screen, the micro air pump, and the air pressure sensor through the bus; The memory stores a program; When the processor executes the program stored in the memory, the blood pressure calculation method described in any one of claims 1 to 8 is performed.

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