A preferred method and apparatus for radial artery blood pressure values

Abstract

This invention discloses a method and apparatus for optimizing radial artery blood pressure values. The method includes: acquiring pulse wave signals from multiple channels of the thin-film array sensor at the radial artery of the wrist using a thin-film array sensor and a pressure device; fitting Gaussian curves to the envelopes determined by the pulse wave signals in each channel, and obtaining the expected value, maximum point, and standard deviation of the Gaussian curves; determining the optimal channel based on preset conditions of the expected value, maximum point, and standard deviation; obtaining the systolic blood pressure value in the optimal channel based on a sampling time determined by the expected value and standard deviation; and obtaining the diastolic blood pressure value in the optimal channel based on a sampling time determined by calculating the second derivative of the Gaussian curve. This invention acquires pulse wave signals using a thin-film array sensor and applies pressure using a pressure device to screen out the optimal channel and the systolic and diastolic blood pressure values ​​of the respective channels, thereby improving the accuracy and efficiency of blood pressure value acquisition.

Description

Technical Field

[0001] This invention relates to the field of blood pressure measurement technology, and in particular to a method and apparatus for optimizing radial artery blood pressure values. Background Technology

[0002] Existing devices for testing blood pressure in the radial artery are generally based on the oscillometric method. They use an air bladder that surrounds the wrist to apply pressure, and then a pressure sensor collects the pulse wave amplitude during the pressure application process, plots it as an envelope, and finally estimates the systolic and diastolic blood pressure values ​​using the waveform characteristic method or the amplitude coefficient method. The principle is the same as that of an upper arm blood pressure monitor. However, compared to the upper arm, the radial artery has a more complex structure.

[0003] Existing methods for obtaining radial artery blood pressure by collecting comprehensive signals within the airbag using a barometric pressure sensor cannot obtain the radial artery signal at the wrist. Therefore, they cannot obtain the occlusion status of the radial artery at the point where stress transmission is optimal, and thus cannot directly obtain accurate radial artery systolic pressure.

[0004] Existing patent application number CN112998676 A discloses a continuous blood pressure measurement method based on multi-feature extraction of enhanced signal from photoelectric array. Although it can collect rich volume wave information, the continuous blood pressure measurement method based on multi-feature extraction of enhanced signal from photoelectric array requires calibration of a standard blood pressure monitor to obtain accurate blood pressure values ​​and estimate continuous blood pressure data. It requires the use of multiple instruments for measurement and calibration, resulting in low accuracy. Summary of the Invention

[0005] The purpose of this invention is to provide a method and apparatus for optimizing radial artery blood pressure values, so as to solve the problem of low accuracy in obtaining radial artery blood pressure values.

[0006] To achieve the above objectives, the present invention provides a preferred radial artery blood pressure value, comprising:

[0007] Based on the pressure value applied by the thin-film array sensor and the pressure device, the pulse wave signals of multiple channels in the thin-film array sensor at the radial artery of the wrist are obtained;

[0008] Gaussian curves are fitted to the envelopes determined by the pulse wave signals in their respective channels, and the highest point, expected value, and standard deviation of the Gaussian curves are obtained.

[0009] The optimal channel is determined based on the expected value, the highest point, and the preset standard deviation.

[0010] Based on the sampling time determined by the expected value and the standard deviation, the systolic blood pressure value in the corresponding optimal channel is obtained, and based on the sampling time determined by calculating the second derivative of the Gaussian curve, the diastolic blood pressure value in the corresponding optimal channel is obtained.

[0011] Preferably, the Gaussian curve f(x) fitted to the envelope determined based on the pulse wave signal in the respective channel is as follows:

[0012] f(x)=a1*exp((-((x-μ) / σ)∧2) / 2) where a1 represents the highest point, μ represents the expected value, and σ represents the standard deviation.

[0013] Preferably, determining the optimal channel based on the preset conditions of the expectation, the highest point, and the standard deviation includes: the screening conditions of the expectation;

[0014] Based on the pulse sampling time d1 at which the pressure of the pressure device reaches its maximum value, the expected value μ, and the standard deviation σ, the expected screening criteria are obtained as follows:

[0015] d1-2*σ≥μ≥2*σ;

[0016] Channels that do not meet the desired filtering criteria are removed to obtain the first filtering result.

[0017] Preferably, the step of determining the optimal channel based on the expected value, the highest point, and the preset standard deviation further includes: the selection criteria for the highest point;

[0018] Based on the highest point a1, the starting point A of the envelope, the ending point B of the envelope, and the Gaussian function f(x), the selection criteria for the highest point are obtained as follows:

[0019] a1≥2*f(A);

[0020] a1≥2*f(B);

[0021] A = μ - 2*σ;

[0022] B = μ + 2*σ;

[0023] Channels that do not meet the filtering criteria for the highest point are removed to obtain the second filtering result.

[0024] Preferably, the step of determining the optimal channel based on the expected value, the highest point, and the preset standard deviation further includes: the screening conditions for the standard deviation;

[0025] The minimum standard deviation of the Gaussian curves in the first and second screening results is used to determine the screening criteria for the standard deviation, thereby obtaining the optimal channel.

[0026] Preferably, the sampling time T1 determined based on the expected value and the standard deviation includes:

[0027] T1 = μ + e1 * σ;

[0028] Where e1 represents a parameter value in the interval [1, 3], and the systolic pressure value is determined based on the pressure value at the sampling time T1.

[0029] Preferably, the sampling time T2 determined based on the calculated second derivative value of the Gaussian curve includes:

[0030] Select the increasing function in the Gaussian curve, calculate the second derivative value of the increasing function, and if the second derivative value is 0, obtain the corresponding horizontal coordinate in the increasing function as the sampling time T2, and determine the diastolic pressure value based on the pressure value of the sampling time T2.

[0031] The present invention also provides a device for optimizing radial artery blood pressure values, comprising:

[0032] The first acquisition module is used to acquire pulse wave signals from multiple channels in the thin-film array sensor at the radial artery of the wrist, based on the pressure value applied by the thin-film array sensor and the pressure device.

[0033] The second acquisition module is used to fit Gaussian curves to the envelopes determined by the pulse wave signals in the respective channels, and to obtain the highest point, expectation and standard deviation of the Gaussian curves.

[0034] The determination module is used to determine the optimal channel based on the expected value, the highest point, and the preset conditions of the standard deviation.

[0035] The calculation module is used to obtain the systolic blood pressure value of the corresponding optimal channel based on the sampling time determined by the expected value and the standard deviation, and to obtain the diastolic blood pressure value of the corresponding optimal channel based on the sampling time determined by calculating the second derivative value of the Gaussian curve.

[0036] This invention also provides the application of a method for optimizing radial artery blood pressure values ​​in the manufacture of medical blood pressure monitors, the application including the monitoring of blood pressure parameters; wherein,

[0037] The preferred method for radial artery blood pressure value includes: acquiring pulse wave signals from multiple channels in the thin-film array sensor at the radial artery of the wrist based on the pressure value applied by the thin-film array sensor and the pressure device;

[0038] Gaussian curves are fitted to the envelopes determined by the pulse wave signals in their respective channels, and the highest point, expected value, and standard deviation of the Gaussian curves are obtained.

[0039] The optimal channel is determined based on the expected value, the highest point, and the preset standard deviation.

[0040] Based on the sampling time determined by the expected value and the standard deviation, the systolic blood pressure value in the corresponding optimal channel is obtained, and based on the sampling time determined by calculating the second derivative of the Gaussian curve, the diastolic blood pressure value in the corresponding optimal channel is obtained.

[0041] The present invention also provides a computer terminal device, including one or more processors and a memory. The memory is coupled to the processors and is used to store one or more programs; when the one or more programs are executed by the one or more processors, the one or more processors implement a method for optimizing radial artery blood pressure values, wherein...

[0042] The preferred method for radial artery blood pressure value includes: acquiring pulse wave signals from multiple channels in the thin-film array sensor at the radial artery of the wrist based on the pressure value applied by the thin-film array sensor and the pressure device;

[0043] Gaussian curves are fitted to the envelopes determined by the pulse wave signals in their respective channels, and the highest point, expected value, and standard deviation of the Gaussian curves are obtained.

[0044] The optimal channel is determined based on the expected value, the highest point, and the preset standard deviation.

[0045] Based on the sampling time determined by the expected value and the standard deviation, the systolic blood pressure value in the corresponding optimal channel is obtained, and based on the sampling time determined by calculating the second derivative of the Gaussian curve, the diastolic blood pressure value in the corresponding optimal channel is obtained.

[0046] The present invention also provides a computer-readable storage medium having a computer program stored thereon, wherein the computer program, when executed by a processor, implements a method for optimizing radial artery blood pressure values, wherein...

[0047] The preferred method for radial artery blood pressure value includes: acquiring pulse wave signals from multiple channels in the thin-film array sensor at the radial artery of the wrist based on the pressure value applied by the thin-film array sensor and the pressure device;

[0048] Gaussian curves are fitted to the envelopes determined by the pulse wave signals in their respective channels, and the highest point, expected value, and standard deviation of the Gaussian curves are obtained.

[0049] The optimal channel is determined based on the expected value, the highest point, and the preset standard deviation.

[0050] Based on the sampling time determined by the expected value and the standard deviation, the systolic blood pressure value in the corresponding optimal channel is obtained, and based on the sampling time determined by calculating the second derivative of the Gaussian curve, the diastolic blood pressure value in the corresponding optimal channel is obtained.

[0051] This invention is applied in the field of medical and health monitoring for blood pressure parameter monitoring. Combining the characteristics of an array-type thin-film pressure sensor and a pressure device, pressure is applied using the pressure device to acquire pulse wave signals from multiple channels in the array-type thin-film pressure sensor. Gaussian fitting is used to obtain the expected value, the maximum point, and the standard deviation. Screening conditions for the expected value, the maximum point, and the standard deviation are set to determine the optimal channel and select the optimal systolic and diastolic blood pressure values ​​for that channel, thereby improving the accuracy of blood pressure value acquisition. Compared to existing technologies that require calibration using a standard blood pressure monitor, this invention improves the efficiency of blood pressure value acquisition. Attached Figure Description

[0052] To more clearly illustrate the technical solution of the present invention, the drawings used in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0053] Figure 1 This is a flowchart illustrating a method for optimizing radial artery blood pressure values ​​according to a certain embodiment of the present invention;

[0054] Figure 2 This is a 12-channel pressurization curve provided in another embodiment of the present invention;

[0055] Figure 3 This is a pulse wave curve diagram of each channel after filtering, provided in another embodiment of the present invention;

[0056] Figure 4 This is a curve of the pulse wave and envelope fitting of the optimal channel after filtering, provided by another embodiment of the present invention.

[0057] Figure 5 This is a schematic diagram of the structure of a radial artery blood pressure value optimization device provided in a certain embodiment of the present invention. Detailed Implementation

[0058] The technical solutions of this invention will now be clearly and completely described with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of this invention, and not all of them. All other embodiments obtained by those skilled in the art based on the embodiments of this invention without creative effort are within the scope of protection of this invention.

[0059] It should be understood that the step numbers used in the text are for ease of description only and are not intended to limit the order in which the steps are performed.

[0060] It should be understood that the terminology used in this specification is for the purpose of describing particular embodiments only and is not intended to limit the invention. As used in this specification and the appended claims, the singular forms “a,” “an,” and “the” are intended to include the plural forms unless the context clearly indicates otherwise.

[0061] The terms “comprising” and “including” indicate the presence of the described feature, whole, step, operation, element and / or component, but do not exclude the presence or addition of one or more other features, wholes, steps, operations, elements, components and / or collections thereof.

[0062] The term “and / or” refers to any combination of one or more of the associated listed items, as well as all possible combinations, and includes these combinations.

[0063] Please see Figure 1 The present invention provides a method for optimizing radial artery blood pressure values, comprising:

[0064] S101. Based on the thin-film array sensor and the pressure device, obtain the pulse wave signals of multiple channels in the thin-film array sensor at the radial artery of the wrist.

[0065] Specifically, according to the principle of blood pressure testing, when the external pressure reaches the systolic pressure of the blood vessel, the blood vessel will be blocked and the pulse wave signal will disappear. Considering that the wrist is an irregular shape, it is difficult for the pressure applied by the air bladder to be consistent in different positions. Therefore, in the area with better stress transmission, the blood vessel will be blocked first and reach the value of systolic pressure. This requires the sensor to obtain accurate local pulse wave signals and perform processing and calculation.

[0066] Blood pressure values ​​include systolic and diastolic pressure values. Thin-film array sensors can be well attached to the wrist. By designing the number of channels and their arrangement of the sensing units, detailed pulse wave signals and distribution in a certain area can be obtained. The flexible design of thin-film array sensors allows the unit size to be smaller than the radial artery diameter (3mm), ensuring accurate pulse wave signals. Multi-channel pulse waves are filtered to retain signals with frequencies between 0.5Hz and 30Hz.

[0067] Please see Figure 2 and Figure 3 Assuming there are 12 channels, the pressure curves of the 12 channels are obtained. After filtering the multi-channel pulse waves, the pulse wave curves of each channel after filtering are obtained. Then, the optimal blood pressure value is calculated based on the highest point, expected value and standard deviation of each channel curve.

[0068] S102. Fit Gaussian curves to the envelopes determined by the pulse wave signals in their respective channels, and obtain the highest point, expectation and standard deviation of the Gaussian curves.

[0069] Specifically, the envelope of the pulse wave selected in step S101 is extracted, and a Gaussian curve is fitted based on this envelope. The highest point, expected value, and standard deviation of the Gaussian curve are obtained based on its coordinate parameters. The Gaussian function of the Gaussian curve is as follows:

[0070] f(x)=a1*exp((-((x-μ) / σ)∧2) / 2);

[0071] Where a1 represents the highest point of the Gaussian curve, μ represents the expected value of the Gaussian curve, and σ represents the standard deviation of the Gaussian curve.

[0072] S103. Determine the optimal channel based on the expected value, the highest point, and the preset conditions of the standard deviation.

[0073] Please see Figure 4 Specifically, the screening criteria for the highest point, expected value, and standard deviation of the Gaussian curve are set as follows:

[0074] 1) First, the expected values ​​of the Gaussian curves from multiple channels are screened. During the entire pressurization process, the envelope should have a complete increase and decrease process. Based on the sampling time d1 at the maximum pressure of the pressure device, the expected value μ, and the standard deviation σ, the screening criteria for the expected value are obtained as follows:

[0075] d1-2*σ≥μ≥2*σ;

[0076] Eliminate channels that do not meet the expected screening criteria to obtain the first screening result.

[0077] 2) Next, the highest points of the Gaussian curve are screened, that is, the highest amplitude of the pulse wave is screened, eliminating channels where the increase in pulse wave amplitude is not obvious. Based on the highest point a1, the x-coordinate of the starting point of the envelope A, the x-coordinate of the ending point of the envelope B, and the Gaussian function f(x), the screening criteria for the highest points are obtained as follows:

[0078] a1≥2*f(A);

[0079] a1≥2*f(B);

[0080] A = μ - 2*σ;

[0081] B = μ + 2*σ;

[0082] Ensure that the maximum amplitude of the pulse wave is more than twice the amplitude at the lowest and highest pressures, eliminate channels that do not meet the screening criteria for the highest point, and obtain the second screening result.

[0083] 3) Finally, the standard deviation of the Gaussian curve is screened. The area with the best stress transmission effect has a faster rate of increase and decrease in pulse wave amplitude. Based on the first and second screening results, the channel with the smallest standard deviation of the Gaussian fitting curve of the envelope is selected as the optimal channel.

[0084] Please see Figure 3 According to Table 1, a thin-film array sensor with twelve channels was selected. The maximum point, expected value, and standard deviation of each channel were obtained. Based on the screening criteria, the optimal channel was selected first, and then the blood pressure value of that channel was calculated. Assuming d1 is 30, the standard diastolic blood pressure obtained from the blood pressure monitor is 75 mmHg and the systolic blood pressure is 115 mmHg, as shown in Table 1. The screening criteria of expected value and maximum point are met. Then, the channel with the smallest standard deviation of the Gaussian fitting curve of the envelope is selected as the optimal channel, that is, the standard deviation of the twelfth channel is the smallest, which is 2.3. Therefore, based on the selected twelfth channel, the diastolic and systolic blood pressure of the channel are calculated. According to Table 1, those that meet the screening criteria are selected, otherwise they are considered not to meet the criteria.

[0085] Table 1 Comparison of priority data for each of the twelve channels.

[0086]

[0087] S104. Based on the sampling time determined by the expected value and the standard deviation, obtain the systolic blood pressure value in the corresponding optimal channel; based on the sampling time determined by calculating the second derivative of the Gaussian curve, obtain the diastolic blood pressure value in the corresponding optimal channel.

[0088] Specifically, the pressure value of the thin-film array sensor unit at sampling time T1 is taken as the systolic pressure value, as follows:

[0089] T1 = μ + e1 * σ;

[0090] Here, e1 represents a parameter value in the interval [1, 3], which is the pressure value of the thin-film array sensor unit at sampling time T1. It can be adjusted according to the actual situation (degree of obesity, blood vessel depth, etc.).

[0091] Select the increasing function in the Gaussian curve, calculate the second derivative value of the increasing function. If the second derivative value is 0, obtain the corresponding horizontal coordinate of the increasing function as the sampling time T2, and determine the diastolic pressure value based on the pressure value at sampling time T2.

[0092] This invention utilizes the flexibility of array-type thin-film pressure sensors in designing the number, distribution, and size of channels. Combined with a pressure device, it acquires abundant pulse wave information near the radial artery during blood pressure testing. By fitting the pulse wave signal to a Gaussian curve and setting screening conditions for the highest point, expectation, and variance of the Gaussian curve, the optimal channel is selected based on the screening conditions. After calculating the optimal pulse wave of the selected channel and its corresponding channel, the optimal blood pressure value is obtained, improving the accuracy of blood pressure value acquisition. Compared with existing technologies, this invention does not require additional calibration equipment, saving medical costs. Furthermore, based on the characteristics of the array-type thin-film pressure sensor itself, which includes multiple channels for measurement, it improves the efficiency of pulse wave signal acquisition.

[0093] Please see Figure 5 The present invention provides a device for optimizing radial artery blood pressure values, comprising:

[0094] The first acquisition module 11 is used to acquire pulse wave signals from multiple channels in the thin-film array sensor at the radial artery of the wrist, based on the thin-film array sensor and the pressure device.

[0095] The second acquisition module 12 is used to fit Gaussian curves to the envelopes determined by the pulse wave signals in the respective channels, and to obtain the highest point, expectation and standard deviation of the Gaussian curves.

[0096] The determination module 13 is used to determine the optimal channel based on the expected value, the highest point, and the preset conditions of the standard deviation.

[0097] The calculation module 14 is used to obtain the systolic blood pressure value in the corresponding optimal channel based on the sampling time determined by the expected value and the standard deviation, and to obtain the diastolic blood pressure value in the corresponding optimal channel based on the sampling time determined by calculating the second derivative value of the Gaussian curve.

[0098] Specific limitations regarding the radial artery blood pressure value optimization device can be found in the limitations outlined above, and will not be repeated here. Each module in the aforementioned radial artery blood pressure value optimization device can be implemented entirely or partially through software, hardware, or a combination thereof. These modules can be embedded in or independent of the processor in a computer device in hardware form, or stored in the memory of a computer device in software form, so that the processor can call and execute the corresponding operations of each module.

[0099] This invention provides a computer terminal device, including one or more processors and a memory. The memory is coupled to the processors and is used to store one or more programs, which, when executed by the one or more processors, cause the one or more processors to implement the radial artery blood pressure value optimization method as described in any of the above embodiments.

[0100] The processor controls the overall operation of the computer terminal device to complete all or part of the steps of the aforementioned method for optimizing radial artery blood pressure values. The memory stores various types of data to support the operation of the computer terminal device. This data may include, for example, instructions for any application or method operating on the computer terminal device, as well as application-related data. The memory can be implemented using any type of volatile or non-volatile storage device or a combination thereof, such as Static Random Access Memory (SRAM), Electrically Erasable Programmable Read-Only Memory (EEPROM), Erasable Programmable Read-Only Memory (EPROM), Programmable Read-Only Memory (PROM), Read-Only Memory (ROM), magnetic storage, flash memory, magnetic disk, or optical disk.

[0101] In an exemplary embodiment, the computer terminal device may be implemented by one or more application-specific integrated circuits (ASICs), digital signal processors (DSPs), digital signal processing devices (DSPDs), programmable logic devices (PLDs), field-programmable gate arrays (FPGAs), controllers, microcontrollers, microprocessors, or other electronic components to perform the above-described radial artery blood pressure value optimization method and achieve the same technical effect as the method described above.

[0102] In another exemplary embodiment, a computer-readable storage medium including program instructions is also provided. When executed by a processor, these program instructions implement the steps of the radial artery blood pressure value optimization method in any of the above embodiments. For example, the computer-readable storage medium may be the memory including the program instructions described above, which can be executed by a processor of a computer terminal device to complete the radial artery blood pressure value optimization method described above and achieve the same technical effects as the method described above.

[0103] The above description represents the preferred embodiments of the present invention. It should be noted that those skilled in the art can make various improvements and modifications without departing from the principles of the present invention, and these improvements and modifications are also considered to be within the scope of protection of the present invention.

Claims

1. A radial artery blood pressure value preferably device, characterized in that, include: The first acquisition module is used to acquire pulse wave signals from multiple channels in the thin-film array sensor at the radial artery of the wrist, based on the pressure value applied by the thin-film array sensor and the pressure device. The second acquisition module is used to fit Gaussian curves to the envelopes determined by the pulse wave signals in the respective channels, and to obtain the highest point, expectation and standard deviation of the Gaussian curves. The determination module is used to determine the optimal channel based on the expected value, the highest point, and the preset conditions of the standard deviation. The calculation module is used to obtain the systolic blood pressure value in the corresponding optimal channel based on the sampling time determined by the expected value and the standard deviation, and to obtain the diastolic blood pressure value in the corresponding optimal channel based on the sampling time determined by calculating the second derivative value of the Gaussian curve. The preset conditions include: the screening condition for the highest point is to ensure that the maximum amplitude of the pulse wave is more than twice the amplitude at the lowest and highest pressures. Among the channels that meet the criteria of expectation and maximum point selection, the channel with the smallest standard deviation of the Gaussian fitting curve of the envelope is the optimal channel. The calculation module is specifically used for: taking the pressure value applied by the pressure device at sampling time T1 as the systolic pressure value, wherein the sampling time T1 is determined according to the expectation and the standard deviation; and selecting the increasing function in the Gaussian curve, calculating the second derivative value of the increasing function, and if the second derivative value is 0, obtaining the corresponding horizontal coordinate in the increasing function as the sampling time T2, and determining the diastolic pressure value of the optimal channel according to the pressure value at sampling time T2.

2. Use of a method for determining radial arterial blood pressure values, preferably according to claim 1, for the manufacture of a medical blood pressure meter, characterized in that, The application includes monitoring blood pressure parameters; wherein, The preferred method for radial artery blood pressure value includes: acquiring pulse wave signals from multiple channels in the thin-film array sensor at the radial artery of the wrist based on the pressure value applied by the thin-film array sensor and the pressure device; Gaussian curves are fitted to the envelopes determined by the pulse wave signals in their respective channels, and the highest point, expected value, and standard deviation of the Gaussian curves are obtained. The optimal channel is determined based on the expected value, the highest point, and the preset standard deviation. Based on the sampling time determined by the expected value and the standard deviation, the systolic blood pressure value in the corresponding optimal channel is obtained; based on the sampling time determined by calculating the second derivative of the Gaussian curve, the diastolic blood pressure value in the corresponding optimal channel is obtained. The preset conditions include: the screening condition for the highest point is to ensure that the maximum amplitude of the pulse wave is more than twice the amplitude at the lowest and highest pressures; among the channels that meet the expectations and the screening condition for the highest point, the channel with the smallest standard deviation of the Gaussian fitting curve of the envelope is selected as the optimal channel. Based on the sampling time determined by the expected value and the standard deviation, the systolic blood pressure value of the corresponding optimal channel is obtained. Based on the sampling time determined by calculating the second derivative of the Gaussian curve, the diastolic blood pressure value of the corresponding optimal channel is obtained, including: taking the pressure value applied by the pressure device at sampling time T1 as the systolic blood pressure value, wherein the sampling time T1 is determined according to the expected value and the standard deviation; and selecting the increasing function in the Gaussian curve, calculating the second derivative of the increasing function, and if the second derivative is 0, obtaining the corresponding horizontal coordinate in the increasing function as the sampling time T2, and determining the diastolic blood pressure value of the corresponding optimal channel based on the pressure value at sampling time T2.

3. A computer terminal device, characterized in that, include: One or more processors; A memory, coupled to the processor, for storing one or more programs; When the one or more programs are executed by the one or more processors, the one or more processors implement a method for optimizing radial artery blood pressure values; wherein... The preferred method for radial artery blood pressure value includes: acquiring pulse wave signals from multiple channels in the thin-film array sensor at the radial artery of the wrist based on the pressure value applied by the thin-film array sensor and the pressure device; Gaussian curves are fitted to the envelopes determined by the pulse wave signals in their respective channels, and the highest point, expected value, and standard deviation of the Gaussian curves are obtained. The optimal channel is determined based on the expected value, the highest point, and the preset standard deviation. Based on the sampling time determined by the expected value and the standard deviation, the systolic blood pressure value in the corresponding optimal channel is obtained; based on the sampling time determined by calculating the second derivative of the Gaussian curve, the diastolic blood pressure value in the corresponding optimal channel is obtained. The preset conditions include: the screening condition for the highest point is to ensure that the maximum amplitude of the pulse wave is more than twice the amplitude at the lowest and highest pressures; among the channels that meet the expectations and the screening condition for the highest point, the channel with the smallest standard deviation of the Gaussian fitting curve of the envelope is selected as the optimal channel. Based on the sampling time determined by the expected value and the standard deviation, the systolic blood pressure value of the corresponding optimal channel is obtained. Based on the sampling time determined by calculating the second derivative of the Gaussian curve, the diastolic blood pressure value of the corresponding optimal channel is obtained, including: taking the pressure value applied by the pressure device at sampling time T1 as the systolic blood pressure value, wherein the sampling time T1 is determined according to the expected value and the standard deviation; and selecting the increasing function in the Gaussian curve, calculating the second derivative of the increasing function, and if the second derivative is 0, obtaining the corresponding horizontal coordinate in the increasing function as the sampling time T2, and determining the diastolic blood pressure value of the corresponding optimal channel based on the pressure value at sampling time T2.

4. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements a method for optimizing radial artery blood pressure values. in The preferred method for radial artery blood pressure value includes: acquiring pulse wave signals from multiple channels in the thin-film array sensor at the radial artery of the wrist based on the pressure value applied by the thin-film array sensor and the pressure device; Gaussian curves are fitted to the envelopes determined by the pulse wave signals in their respective channels, and the highest point, expected value, and standard deviation of the Gaussian curves are obtained. The optimal channel is determined based on the expected value, the highest point, and the preset standard deviation. Based on the sampling time determined by the expected value and the standard deviation, the systolic blood pressure value in the corresponding optimal channel is obtained; based on the sampling time determined by calculating the second derivative of the Gaussian curve, the diastolic blood pressure value in the corresponding optimal channel is obtained. The preset conditions include: the screening condition for the highest point is to ensure that the maximum amplitude of the pulse wave is more than twice the amplitude at the lowest and highest pressures; among the channels that meet the expectations and the screening condition for the highest point, the channel with the smallest standard deviation of the Gaussian fitting curve of the envelope is selected as the optimal channel. Based on the sampling time determined by the expected value and the standard deviation, the systolic blood pressure value of the corresponding optimal channel is obtained. Based on the sampling time determined by calculating the second derivative of the Gaussian curve, the diastolic blood pressure value of the corresponding optimal channel is obtained, including: taking the pressure value applied by the pressure device at sampling time T1 as the systolic blood pressure value, wherein the sampling time T1 is determined according to the expected value and the standard deviation; and selecting the increasing function in the Gaussian curve, calculating the second derivative of the increasing function, and if the second derivative is 0, obtaining the corresponding horizontal coordinate in the increasing function as the sampling time T2, and determining the diastolic blood pressure value of the corresponding optimal channel based on the pressure value at sampling time T2.

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