WO2024098785A1

WO2024098785A1 - Blood pressure measuring apparatus and method

Info

Publication number: WO2024098785A1
Application number: PCT/CN2023/103498
Authority: WO
Inventors: 肖霄; 赵咏豪; 余展
Original assignee: 华为技术有限公司
Priority date: 2022-11-08
Filing date: 2023-06-28
Publication date: 2024-05-16
Also published as: CN118000693A

Abstract

Provided are blood pressure measuring apparatus (10) and method. The blood pressure measuring apparatus (10) comprises a measurement module (101) and a display module (103). The measurement module (101) is used for measuring a first blood pressure of a user in various postures, wherein the relative positions of the body of the blood pressure measuring apparatus (10) to the heart of the user in different postures are different; the display module (103) is used for displaying a second blood pressure of the user, and the second blood pressure is determined according to the first blood pressure of the user in various postures. According to the method, the second blood pressure of the user is determined based on the first blood pressure of the user in different postures, and compared with the mode of depending on hypothetical data to measure the blood pressure of the user, the accuracy of blood pressure measurement can be improved.

Description

Blood pressure measuring device and method

CROSS-REFERENCE TO RELATED APPLICATIONS

This application claims priority to a Chinese patent application filed with the China Patent Office on November 8, 2022, with application number 202211393926.2 and application name “A blood pressure measurement device and method”, the entire contents of which are incorporated by reference in this application.

Technical Field

The present application relates to the technical field of medical equipment, and in particular to a blood pressure measurement device and method.

Background technique

With the development of science and technology and the improvement of people's living standards, health monitoring, especially blood pressure measurement and monitoring applications, has become an important demand in today's society.

Traditional blood pressure measurement methods include the oscillometric method, which measures blood pressure by blocking blood flow with pressurization, and is less comfortable. Another traditional method, the volumetric method, requires pressurization of the blood vessels to form a balance point between internal and external pressures. Although the comfort level is improved, it requires complex equipment or carefully trained personnel. More advanced blood pressure measurement methods focus on pulse analysis, including pulse wave waveform analysis, pulse wave transmission time (PTT) analysis, photoplethysmography (PPG) waveform analysis, etc. Compared with traditional methods, such methods can achieve non-contact blood pressure measurement, but such methods usually make assumptions about the vascular conditions of the person being measured based on the person's height, weight, age and other characteristics, and rely on the assumed vascular parameters to measure blood pressure, resulting in poor measurement accuracy.

Summary of the invention

The present application provides a blood pressure measurement device and method for improving the accuracy of blood pressure measurement.

In the first aspect, the embodiments of the present application provide a blood pressure measuring device, which can be worn or held on the user's limbs, such as on the wrist, or on the ankle, or on the finger, or on the toe, or held in the hand, etc. The device includes a measuring module and a display module; wherein the measuring module is used to measure the user's blood pressure in each of a plurality of postures (recorded as the first blood pressure, i.e., the blood pressure measurement value), and the relative position of the blood pressure measuring device body and the user's heart in different postures is different; the display module is used to display the user's second blood pressure, which is determined based on the first blood pressure in each of a plurality of postures, and the second blood pressure is the blood pressure obtained when the blood pressure measuring device body and the user's heart are at the same height when measuring the user, which can also be called heart blood pressure.

Through the above design, the blood pressure measuring device measures the first blood pressure corresponding to the user in various postures, and determines the user's heart blood pressure based on the first blood pressure corresponding to the user in various postures. Compared with the existing method of measuring the user's heart blood pressure by relying on assumed data, the accuracy of blood pressure measurement can be improved.

In a possible implementation, the device further includes a processing module and a pulse wave detection module;

The processing module is used to determine the gravity blood pressure corresponding to the user in multiple postures. The gravity blood pressure of the user in one posture is related to the relative height difference between the blood pressure measurement device body and the user's heart in the posture; the pulse wave detection module is used to detect the pulse wave signal of the user in each of the multiple postures; the processing module is also used to determine the second blood pressure and parameters related to blood pressure measurement based on the gravity blood pressure and pulse wave signal corresponding to each of the multiple postures of the user.

Through the above design, the processing module determines the user's heart blood pressure and blood pressure measurement-related parameters based on the gravity blood pressure and pulse wave signals corresponding to the user in various postures, thereby realizing non-contact blood pressure detection. There is no need to pressurize the user's blood vessels every time to measure the user's blood pressure, and there is no need for the user to maintain a standard blood pressure measurement posture (keeping the blood pressure measurement device body at the same height as the user's heart), thereby providing flexibility, comfort and accuracy in blood pressure measurement.

In a possible implementation, the device further includes a posture sensing module; when the processing module determines the gravity blood pressure corresponding to the user in a plurality of postures, the processing module is specifically used to:

The user's various postures are detected by the posture sensing module; the gravity blood pressure corresponding to each of the multiple postures is determined based on a preset corresponding relationship, and the preset corresponding relationship includes a corresponding relationship between different postures and gravity blood pressure.

Through the above design, the gravity blood pressure of the user in each posture is determined according to the detected multiple postures of the user and the preset corresponding relationship. There is no need to perform sensible blood pressure measurement on the user, which can improve the comfort of blood pressure measurement.

In a possible implementation, the processing module is further used to determine the gravity blood pressure of the user at a certain moment (first moment); The measuring module is used to detect the pulse wave signal of the user at the first moment; the processing module is also used to determine the heart blood pressure (recorded as the third blood pressure) of the user at the first moment based on the parameters related to blood pressure measurement, the gravity blood pressure and the pulse wave signal of the user at the first moment.

Through the above design, the user's heart blood pressure at different times can be determined according to the user's gravity blood pressure, pulse wave signal and the aforementioned blood pressure measurement-related parameters at different times, thereby achieving continuous non-contact blood pressure measurement.

In one possible implementation, the detection module is specifically used to measure the first blood pressure of the user in multiple postures when a calibration condition is met; the calibration condition includes one or more of the following: the time interval from the last calibration reaches a first interval duration, it is detected that the user's state has changed, and the time interval from the last calibration reaches a second interval duration, the first interval duration is greater than the second interval duration, and it is detected that the user triggers a calibration instruction, and the calibration instruction instructs to calibrate the parameters related to the blood pressure measurement of the device.

Through the above design, a variety of conditions for triggering the pre-calibration process are provided, which improves flexibility and usage accuracy, and avoids the problem of low blood pressure measurement accuracy caused by the fact that parameters related to blood pressure measurement cannot be calibrated for a long time.

In a possible implementation, the device further includes an interaction module; the interaction module is used to display a user interface, the user interface including a calibration button; when the processing module detects that a user triggers a calibration instruction, it is specifically used to: detect that the user clicks the calibration button in the user interface.

The above design provides flexibility for user operation.

In a possible implementation, the device further includes an interaction module; the interaction module is further configured to push one or more notifications to the user, each notification instructing the user to perform at least one of the multiple gestures.

In a possible implementation, the device is placed at the end of the user's limbs; when detecting the user's gravity blood pressure in each posture, the posture sensing module is specifically used to: detect the user's posture, and determine the corresponding relative height difference of the user in each posture based on the correspondence relationship (recorded as the second correspondence relationship) between multiple postures indicating the user and the functional relationship (used to calculate the height difference in the posture), and the height difference refers to the height difference between the blood pressure measurement device body and the user's heart; calculate the relative height difference between the blood pressure measurement device body and the user's heart in each posture based on the determined functional relationship and the user's limb length; calculate the gravity blood pressure corresponding to the posture based on the relative height difference in the posture.

Through the above design, another method for realizing non-contact blood pressure measurement is provided, in which the gravity blood pressure is determined according to the user's limb length. There is no need to determine the user's gravity blood pressure by measuring the user's blood pressure difference. The method can be applied to blood pressure measurement devices that do not have the function of directly measuring blood pressure.

In a possible implementation, the blood pressure measurement device further includes an interaction module; the interaction module is used to display the first interface and obtain the limb length input or selected by the user on the first interface.

In a possible embodiment, the device also includes an interaction module; the interaction module is used for human-computer interaction with a user; when the processing module obtains a user-triggered calibration instruction, it is specifically used to: obtain a voice instruction from the user through the interaction module, and the voice instruction instructs to calibrate parameters related to blood pressure measurement of the device.

The above design provides flexibility for user operation.

In a possible implementation, the multiple postures include one or more of the following: arms hanging naturally, raising hands, holding left and right hands together in front of the chest, hands behind the back, raising legs, and walking.

In a possible implementation, the pulse wave related parameters include one or more of the following: pulse wave velocity PWV, pulse wave transmission time PTT.

In a possible implementation, the parameters related to blood pressure measurement include one or more of the following: vascular elastic modulus, vascular thickness, blood viscosity, vascular diameter, and one or more coefficients for describing vascular characteristics.

In a second aspect, an embodiment of the present application further provides a blood pressure measurement method, which includes implementing the process steps performed by the blood pressure measurement device in the example of the first aspect above. The beneficial effects can be found in the description of the first aspect and will not be repeated here.

In a third aspect, an embodiment of the present application further provides an electronic device having the function of implementing the behavior of the blood pressure measuring device in the example of the first aspect above. The beneficial effects can be found in the description of the first aspect and will not be repeated here. The structure of the electronic device includes a processor and a memory, and the processor is configured to support the electronic device to perform the corresponding functions of the electronic device in the first aspect above. The memory is coupled to the processor, which stores the necessary program instructions and data for the communication device. The structure of the communication device also includes a communication interface for communicating with other devices.

In a fourth aspect, an embodiment of the present application further provides a computing device cluster, which has the function of implementing the behavior of the blood pressure measuring device in the example of the first aspect above. The beneficial effects can be found in the description of the first aspect and will not be repeated here. The computing device cluster includes at least one computing device, and the structure of any computing device includes a processor and a memory. The processor in any computing device is configured to support the computing device to perform part or all of the functions of the blood pressure measuring device in the first aspect and various possible implementations of the first aspect. The memory is coupled to the processor, which stores the necessary program instructions and data for the communication device. The structure of the communication device also includes a communication interface for communicating with other devices.

In a fifth aspect, the present application also provides a computer-readable storage medium, which stores instructions, and when the computer-readable storage medium is run on a computer, it enables the computer to execute the functions of the behavior of the blood pressure measurement device in the above-mentioned first aspect and each possible embodiment of the first aspect.

In a sixth aspect, the present application further provides a computer program product comprising instructions, which, when executed on a computer, enables the computer to execute the functions of the behavior of the blood pressure measurement device in the above-mentioned first aspect and each possible implementation manner of the first aspect.

In the seventh aspect, the present application also provides a computer chip, which is connected to a memory, and the chip is used to read and execute a software program stored in the memory to perform the functions of the behavior of the blood pressure measurement device in the above-mentioned first aspect and various possible implementations of the first aspect.

BRIEF DESCRIPTION OF THE DRAWINGS

FIG1 is a schematic structural diagram of a blood pressure measurement device 10 provided in an embodiment of the present application;

FIG2 is a schematic diagram of a correct posture for measuring heart blood pressure;

FIG3 is a schematic diagram of a flow chart of a pre-calibration method provided in an embodiment of the present application;

FIG4A is a schematic diagram of a pre-calibration configuration interface according to an embodiment of the present application;

FIG4B is a schematic diagram of a watch 10 outputting prompt information according to an embodiment of the present application;

FIG5 is a second schematic diagram of a pre-calibration configuration interface provided in an embodiment of the present application;

FIG6 is a schematic diagram showing the relationship between cardiac blood pressure and gravity blood pressure;

FIG. 7 is a third schematic diagram of a pre-calibration configuration interface provided in an embodiment of the present application;

FIG8 is a flow chart of a parameter calibration method provided in an embodiment of the present application;

FIG9 is a schematic diagram of a parameter configuration interface provided in an embodiment of the present application;

FIG10 is a second schematic diagram of a parameter calibration configuration interface provided in an embodiment of the present application;

FIG11 is a schematic diagram of a blood pressure model;

FIG12 is a schematic diagram of measuring the blood pressure of a user in various postures provided by an embodiment of the present application;

FIG13 is a flow chart of a blood pressure measurement method provided in an embodiment of the present application;

FIG14 is a schematic diagram of a user interface provided in an embodiment of the present application;

FIG15 is a schematic structural diagram of a blood pressure measurement device 20 provided in an embodiment of the present application;

FIG16 is a fourth schematic diagram of a pre-calibration configuration interface provided in an embodiment of the present application;

FIG17 is a fifth schematic diagram of a pre-calibration configuration interface provided in an embodiment of the present application;

FIG18 is a schematic diagram of a flow chart of a pre-calibration method provided in an embodiment of the present application;

FIG19 is a sixth schematic diagram of a pre-calibration configuration interface provided in an embodiment of the present application;

FIG. 20 is a seventh schematic diagram of a pre-calibration configuration interface provided in an embodiment of the present application.

Detailed ways

Figure 1 is a structural schematic diagram of a blood pressure measuring device provided in an embodiment of the present application. The blood pressure measuring device 10 includes a measuring module 101, a processing module 102, a display module 103, a posture sensing module 104, a pulse wave detection module 105, a storage module 106, an audio module 107, a speaker 107A, a receiver 107B, a microphone 107C, a touch sensor 108, and a vibration motor 109.

Among them, the measuring module 101 is used to measure blood pressure, which can be arterial blood pressure or venous blood pressure, and this application does not limit this. In one implementation, the measuring module 101 includes a wristband, which can be bent to wrap around a human limb, such as a wrist, ankle, finger, toe, etc., or the blood pressure measuring device 10 can also be held on the user's limb. The wristband also has a charging function, which can pressurize the wrapped limb to measure the user's blood pressure. When the blood pressure measuring device 10 is a watch, the wristband can be a watch strap, and this application does not limit how the measuring module 101 measures blood pressure.

It is worth noting that in the medical field, it is usually necessary to monitor the heart blood pressure of the user. As shown in FIG2 , the heart blood pressure is the blood pressure obtained by measuring the blood pressure of the user by the measuring module 101 when the body of the blood pressure measuring device 10 is at the same height as the heart of the user. The measuring module 101 can measure the blood pressure of the user in any posture. If the body of the blood pressure measuring device 10 is at a different height from the heart, the blood pressure measured by the measuring module 101 is not the heart blood pressure.

It should be understood that Figure 2 shows the blood pressure measuring device 10 as a watch as an example. In the present application, the blood pressure measuring device 10 can also be other types of electronic devices, such as a bracelet for measuring blood pressure (such as a wristband-type blood pressure monitor), an anklet, a finger ring, a mobile phone, etc., and the present application does not limit this.

The processing module 102 is used to calculate and process the data. In the present application, the processing module 102 can be based on the measurement module 101. The user's heart blood pressure is determined by the blood pressure values of the user in multiple postures. In one implementation, the processing module 102 is a processor, and the processor may include one or more processing units, for example: the processor may include an application processor (application processor, AP), a modem processor, a graphics processor (graphics processing unit, GPU), an image signal processor (image signal processor, ISP), a controller, a memory, a video codec, a digital signal processor (digital signal processor, DSP), a baseband processor, and/or a neural network processor (neural-network processing unit, NPU), etc. Among them, different processing units can be independent devices or integrated in one or more processors. Among them, the controller can be the nerve center and command center of the electronic device 100. The controller can generate an operation control signal according to the instruction operation code and the timing signal to complete the control of fetching and executing instructions. A memory can also be set in the processor for storing instructions and data. In some embodiments, the memory in the processor is a high-speed cache memory. The memory can save instructions or data that the processor has just used or circulated. If the processor needs to use the instruction or data again, it can be directly called from the memory. Repeated access is avoided, the waiting time of the processor is reduced, and the efficiency of the system is improved.

The display module 103 is used to display images, videos, etc. The display module 103 may include a display panel, which may be a liquid crystal display (LCD), an organic light-emitting diode (OLED), an active-matrix organic light-emitting diode or an active-matrix organic light-emitting diode (AMOLED), a flexible light-emitting diode (FLED), Miniled, MicroLed, Micro-oLed, quantum dot light-emitting diodes (QLED), etc. In some embodiments, the blood pressure measurement device 10 may include 1 or N display modules 103, where N is a positive integer greater than 1.

The posture sensing module 104 can be used to detect the posture of the user. The posture sensing module 104 may include one or more sensors, such as a gravity sensor, an acceleration sensor, an optical sensor, an altitude sensor, a distance sensor, a gyroscope sensor, and the like.

The pulse wave detection module 105 can be used to detect the pulse wave signal of the user.

The storage module 106 can be used to store computer executable program codes and data, and the executable program codes include instructions. For example, the storage module 106 can store the code of the blood pressure measurement method provided in the embodiment of the present application, and the processing module 102 executes various functional applications and data processing of the blood pressure measurement device 10 by running the instructions stored in the storage module 106. The data may include the data required by the blood pressure measurement device 10 in the process of executing the blood pressure measurement method, such as parameters related to blood pressure measurement, blood pressure values, etc.

The blood pressure measurement device 10 can implement audio functions such as voice calls, music playback, etc. through the audio module 107, the speaker 107A, the receiver 107B, the microphone 107C, etc.

The touch sensor 108 is also called a "touch panel". The touch sensor 108 can be arranged on the display module 103, and the touch sensor 108 and the display module 103 form a touch screen, also called a "touch screen". The touch sensor 108 is used to detect a touch operation acting on or near it. The touch sensor can pass the detected touch operation to the processing module 102 to determine the type of touch event. The display module 103 can provide a visual output related to the touch operation.

The vibration motor 109 can generate vibration prompts. The vibration motor 109 can be used for message vibration prompts, and can also be used for touch vibration feedback. For example, touch operations acting on different applications can correspond to different vibration feedback effects.

It is understood that the structure illustrated in the embodiment of the present application does not constitute a specific limitation on the blood pressure measurement device 10. In other embodiments of the present application, the blood pressure measurement device 10 may include more or fewer components than shown in the figure, or combine certain components, or separate certain components, or arrange the components differently. The components shown in the figure may be implemented in hardware, software, or a combination of software and hardware.

Next, a blood pressure measurement method provided by the present application is introduced in conjunction with the blood pressure measurement device 10 shown in FIG1 . The method will be described through a pre-calibration phase (see FIG3 ), a parameter calibration phase (see FIG8 ) and a blood pressure measurement phase (see FIG13 ). For ease of explanation, the method is explained below by taking the blood pressure measurement device 10 as a watch as an example. The watch 10 mentioned below can be replaced by the blood pressure measurement device 10.

Pre-calibration phase:

FIG3 is a flow chart of a first pre-calibration method provided in an embodiment of the present application. As shown in FIG3 , the method includes:

Step 300: When the pre-calibration condition is met, trigger the pre-calibration process.

Pre-calibration conditions may include one or more of the following:

(1) The watch 10 is powered on for the first time or restored to factory settings;

The watch 10 is initialized after being powered on for the first time or restored to factory settings, thereby triggering the pre-calibration process. Optionally, before the pre-calibration, the watch 10 calibrates and initializes one or more sensors, such as the gesture sensing module 104.

(2) Obtaining the pre-calibration instruction triggered by the user.

There are many ways to obtain pre-calibration instructions, as listed below:

Mode 1): The display module 103 displays a pre-calibration interface, as shown in FIG4A . The pre-calibration configuration interface includes a pre-calibration button. The user The pre-calibration button can be clicked, and accordingly, the display module 103 receives the user's click operation on the pre-calibration button and generates a calibration instruction. Similarly, the watch 10 can also include physical buttons, such as power on and off buttons, configuration buttons, or calibration buttons. The watch 10 can receive the user's preset pressing operation on the physical button to generate a pre-calibration instruction. The clicking operation here is only an example, and the user can also press the pre-calibration button in other ways, which is not specifically limited.

Method 2): The watch 10 can also receive a voice command from the user. When the voice command indicates to start the pre-calibration process, the voice command is the pre-calibration command.

It can be seen that the pre-calibration conditions applicable to the embodiment of the present application may include one or more, and the pre-calibration process may be triggered when any pre-calibration condition is detected to be met. The specific pre-calibration process may include the following steps 301 to 304.

Step 301, measuring the user's heart blood pressure at a first moment.

The first moment is the start moment of this calibration process or a moment after the start moment.

The method of obtaining the user's heart blood pressure may include: the watch 10 outputs a prompt message to prompt the user to measure the blood pressure, wherein the prompt message may be text information, image information, video information, etc. displayed on the display module 103, or the prompt message may also be voice information output by the audio module 107; or the prompt message may also be text information displayed on the display module 103 and a vibration prompt generated by the vibration motor 109, which is not limited to the embodiments of the present application.

Here are some examples of the prompt information output by the watch 10:

Example 1: As shown in (a) of FIG4B , the watch 10 pops up a prompt message, which is used to remind the user that blood pressure measurement is currently required, and asks the user to place the watch 10 at the same height as the user's heart (see FIG1 ).

Example 2: As shown in FIG. 4B (b), image information is added on the basis of FIG. 4B (a), and the image information is used to demonstrate the standard posture for measuring heart blood pressure.

When it is determined that the body of the watch 10 is at the same height as the user's heart, the watch 10 measures the blood pressure of the user through the measuring module 101 to obtain the heart blood pressure of the user.

Among them, when the preset time length is 10 seconds after the watch 10 outputs the prompt information, for example, the preset time length is 10 seconds, 10 seconds after the watch 10 outputs the prompt information, it is considered that the user has moved the watch 10 to the same height as the user's heart. Alternatively, when the watch 10 detects that the user stops moving within a period of time after outputting the prompt information, it is considered that the user has moved the watch 10 to the same height as the user's heart. Alternatively, the watch 10 may also have a distance detection function, which can be used to detect whether the watch 10 body is at the same height as the user's heart. If not, it can continue to output new prompt information to guide the user to assume the correct posture.

Step 302: Determine the blood pressure of the user in each of a plurality of postures (referred to as a first blood pressure).

It should be noted that cardiac blood pressure and the first blood pressure are both blood pressure measurement values obtained by the watch 10 directly measuring the user's blood pressure through the measurement module 101, and cardiac blood pressure is a medical monitoring indicator used in medicine to reflect the user's physical health status, while blood pressure measurement values other than cardiac blood pressure are not medical monitoring indicators.

This application designs multiple postures (recorded as pre-calibrated postures) based on normal human activities of the user while wearing the watch 10, such as raising the hand to look at the watch, relaxing the arms and letting them hang naturally, holding the left and right hands together in front of the body, putting the hands behind the back, swinging the arms forward and backward with different amplitudes, swinging the arms up and down with different amplitudes, raising the legs, walking, etc.

It should be noted that when the watch 10 is worn on a part of the body, the corresponding pre-calibrated posture may also be different. For example, when the watch 10 is worn on the wrist, the corresponding pre-calibrated posture may include some or all of the following: raising the hand to look at the watch, relaxing the arm and letting it hang naturally, holding the left and right hands together and placing them in front of the body, holding the hands behind the back, raising the legs, walking, swinging the arms forward and backward with different amplitudes, swinging the arms up and down with different amplitudes, etc. For another example, when the watch 10 is worn on the ankle, the corresponding pre-calibrated posture may include raising the legs, walking, etc.

In an optional manner, the watch 10 allows the user to configure the pre-calibration posture. As shown in FIG5 , the embodiment of the present application further provides a configuration interface for the pre-calibration posture. The watch 10 displays the configuration interface. The configuration interface may include multiple pre-calibration posture options, allowing the user to check the pre-calibration posture. The user may select the corresponding pre-calibration posture based on the position of the watch 10. Accordingly, the watch 10 receives the user's selection operation of some or all of the pre-calibration postures, and uses the multiple pre-calibration postures selected by the user as a pre-calibration posture group. Subsequently, the user's blood pressure will be measured in each pre-calibration posture in the pre-calibration posture group.

Before measuring blood pressure, the watch 10 can be initialized for multiple precalibrated postures to generate a correspondence (recorded as a first correspondence) indicating multiple precalibrated postures and posture identifiers, wherein each posture identifier is used to uniquely identify a precalibrated posture, and the identifier can be a feature set of the precalibrated posture, which may include one or more features.

The process of determining the feature set corresponding to the pre-calibrated posture may include: the watch 10 instructs the user to pose a pre-calibrated posture, and optionally, instructs the user to maintain the pre-calibrated posture, and the watch 10 detects one or more features of the user in the pre-calibrated posture, each feature may include a detection value of the user in the pre-calibrated posture detected by one of the sensors of the watch 10, or the feature is a value of the sensor. The sensor detects changes in detection values of the user from an initial posture to the pre-calibration posture, such as multiple detection values of the sensor over a period of time.

For example, the acceleration sensor detects the acceleration of the user in a pre-calibrated posture (such as raising the hand to look at the watch), and the acceleration is used as a single-point feature of the pre-calibrated posture. And/or, the acceleration sensor detects a plurality of continuous detection values during the process of the user making the action from posture A to raising the hand to look at the watch, and the plurality of detection values are used as a feature of the pre-calibrated posture.

A pre-calibrated posture may correspond to multiple features, and the multiple features may be determined based on the detection value of one sensor or the detection values of multiple sensors. For example, in addition to uploading one or more features detected by the acceleration sensor, the features corresponding to the pre-calibrated posture may also include features detected by other sensors, such as the detection value of the user in the pre-calibrated posture (such as raising the hand to look at the watch) detected by the optical sensor, and the detection value is used as a feature value, and/or, the optical sensor detects multiple detection values in the process of the user posing the pre-calibrated posture (such as raising the hand to look at the watch), and the multiple detection values are used as a feature value.

Among them, a single-point feature of the user in the pre-calibrated posture can be a feature value detected by the sensor at one moment when the user is in this posture, or it can be the feature values detected at multiple moments when the user maintains this posture, and then data processing is performed on the feature values at multiple moments, such as determining the mean or weighted value of the feature values at multiple moments, and then using the processed value as the single-point feature.

The watch 10 determines the feature set corresponding to each pre-calibrated posture in turn in the above manner and generates a first corresponding relationship. See Table 1 for an example of a first corresponding relationship provided in this application.

Table 1. First correspondence

It should be noted that the above-mentioned first corresponding relationship can also be executed in other processes, such as when the watch 10 is powered on for the first time, and this application does not limit this.

The following describes how to determine the user's blood pressure in multiple postures.

For any pre-calibration posture, the watch 10 notifies the user to make a pre-calibration posture. After detecting that the user has made the pre-calibration posture, the watch 10 can measure the user's blood pressure (i.e., the first blood pressure) in the pre-calibration posture through the measurement module 101. Please refer to the specific introduction of measuring the user's heart blood pressure in the aforementioned step 301, which will not be repeated here. Optionally, step 301 and step 302 can be combined into one step. In this case, the pre-calibration posture group includes a pre-calibration posture that makes the watch 10 body and the user's heart at the same height, so that the watch 10 can measure the user's heart blood pressure.

The method for detecting whether the user poses a pre-calibration posture includes: obtaining detection values of one or more sensors in the watch 10 within a period of time or after a period of time after instructing the user to pose the pre-calibration posture, and determining whether the one or more detection values obtained match the feature set corresponding to the pre-calibration posture in the first corresponding relationship, if they match, the current posture is the pre-calibration posture, otherwise, determining that the current posture is not the pre-calibration posture. Optionally, when the user does not reach the pre-calibration posture, the watch 10 outputs a prompt message to guide the user to pose a standard pre-calibration posture.

The watch 10 can measure the blood pressure of the user in each pre-calibrated posture in turn in the above manner. It should be noted that since the user is in different postures, the blood pressure values of the user measured here in different pre-calibrated postures are not completely the same, or completely different, and are mostly non-cardiac blood pressure, but may also be cardiac blood pressure.

Step 303: Obtain the gravity blood pressure of the user in each of the multiple postures.

The watch 10 obtains the gravity blood pressure in multiple postures in the same way. Taking one posture as an example, the gravity blood pressure of the user in this posture (denoted as ΔP) can be determined based on the user's first blood pressure (P') in this posture and the user's heart blood pressure (P).

Those skilled in the art will know that, based on the anatomical characteristics of human blood circulation, when measuring blood pressure at the extremities, the height difference between the measured position and the heart ejection position will have a significant impact on the blood pressure measurement value. As shown in FIG6 , the watch 10 is worn on the wrist of the user, and the user is in a naturally drooping posture of the arm. When measuring blood pressure, the height difference (denoted as ΔH) between the watch 10 and the user's heart will cause the measured blood pressure (i.e., the first blood pressure) to be greater than the actual heart blood pressure. The difference between the two is the gravitational blood pressure of the blood (which can be referred to as gravitational pressure or gravitational blood pressure for short).

That is to say, the gravity blood pressure of the user in a certain posture is equal to the difference between the first blood pressure of the user in the posture measured by the watch 10 and the heart blood pressure of the user, that is, ΔP=P'-P.

In this way, the user's gravity blood pressure in the posture corresponding to each pre-calibrated posture is determined in sequence.

For example, the pre-calibrated postures include posture 1 (such as raising the hand to look at the watch), posture 2 (such as relaxing the arm and letting it hang naturally), and posture 3 (such as putting the hands behind the back). In step 302, the watch 10 measures the user's heart blood pressure P. In step 303, the watch 10 measures the blood pressure value P1' of the user in the posture of raising the hand to look at the watch, the blood pressure value P2' of the user in the posture of relaxing the arm and letting it hang naturally, and the blood pressure value P3' of the user in the posture of putting the hands behind the back. In step 304, the watch 10 sequentially determines the gravity blood pressure ΔP1＝P1'-P of the user in the posture of raising the hand to look at the watch, the gravity blood pressure ΔP2＝P2'-P of the user in the posture of relaxing the arm and letting it hang naturally, and the gravity blood pressure ΔP3＝P3'-P of the user in the posture of putting the hands behind the back.

Different postures may correspond to different sensor parameters, which include but are not limited to one or more of the following: acceleration, orientation, altitude, etc.

Step 304: Generate a corresponding relationship (referred to as a second corresponding relationship) indicating the corresponding relationship between the user's various postures and the gravity blood pressure.

The watch 10 generates a second corresponding relationship for the user based on the data obtained in the above steps. In combination with the above example, Table 2 shows a second corresponding relationship between a user's posture and gravity blood pressure.

Table 2. Second correspondence

It should be understood that Table 2 is only an example, and in actual applications, several pre-calibrated postures can be set to improve the hit rate of posture detection, so as to improve the accuracy of subsequent blood pressure measurement and realize continuous blood pressure measurement.

The watch 10 stores the second correspondence, such as writing the second correspondence of the user into the storage module 106. If the storage module 106 stores old data of the second correspondence (such as the initial value or the data written after the last pre-calibration), the watch 10 first deletes the old data and then writes the newly generated second correspondence into the storage module 106.

Optionally, the watch 10 also allows the user to set other configuration items during the pre-calibration process. As shown in FIG. 7 , the watch 10 displays another pre-calibration configuration interface, which may include a blood pressure model configuration item. The blood pressure model configuration item may provide a variety of blood pressure models supported by the watch 10. The user may select and apply a blood pressure model from a variety of blood pressure models. The watch 10 receives the blood pressure model selected by the user for the blood pressure model configuration item. Subsequently, the watch 10 measures the user's heart blood pressure based on the blood pressure model selected by the user. The blood pressure models supported by the watch 10 are not fixed. With the update of the system and technology, the watch 10 may increase the blood pressure models it supports and reflect them in the blood pressure model configuration item for the user to choose.

At this point, the initialization calibration process ends. Optionally, the watch 10 can output a prompt message indicating that the pre-calibration is completed, which can be found in the above-mentioned related introduction and will not be repeated here.

Those skilled in the art will know that, in fact, the gravity blood pressure depends on the height difference ΔH between the watch 10 and the user's heart, the user's blood density ρ and the gravity acceleration g of the user's geographical location. Since the blood pressure density ρ of the human body varies very little between 1043 and 1060 kg/m3, the blood density ρ and the gravity acceleration g can be regarded as constants. At this time, the gravity blood pressure can be approximately proportional to the height difference ΔH. Since the length of a person's limbs will not change significantly in a short period of time, the height difference ΔH only depends on the person's posture. In other words, when the posture is fixed, the gravity blood pressure of the user in this posture is also fixed. Therefore, in practical applications, the pre-calibration process only needs to be performed once for a considerable period of time, and no repeated calibration is required. The parameters related to blood pressure measurement require relatively frequent calibration to improve the accuracy of non-sensitive blood pressure measurement. The calibration process of the parameters related to blood pressure measurement is introduced as follows.

2. Parameter calibration stage:

FIG8 is a flow chart of a parameter calibration method provided by an embodiment of the present application. As shown in FIG8 , the method may include:

Step 800, when the parameter calibration conditions are met, start the parameter calibration process.

Parameter calibration conditions include one or more of the following:

(1) Detecting a change in the user's state, for example, the user's state includes a resting state and a moving state. When the user enters a moving state from a resting state, or enters a resting state from a moving state, it is determined that the user's state has changed.

The user's state can be represented by one or more indicators such as heart rate, posture, number of steps, and moving speed. For example, a heart rate of 60-100 beats/min is a resting state, and a heart rate of 100-170 is a moving state. In this application, the user state may include multiple types, such as walking, jogging, fast running, etc., which are not limited in this application.

When the user is in different states, the time interval for parameter calibration may be different. For example, when the user is in a resting state, the time interval for parameter calibration may be 30 minutes, that is, when the user is in a resting state, the watch 10 performs parameter calibration every 30 minutes. When the user is in a state, the time interval for parameter calibration can be 5 minutes, that is, when the user is in a sports state, the watch 10 performs parameter calibration every 5 minutes. Alternatively, the watch 10 does not distinguish the state of the user, and the time interval for parameter calibration of the user in any state is the same.

Further, in an optional implementation, the time interval for parameter calibration is a fixed value and does not require user configuration. In an optional implementation, the watch 10 allows the user to set relevant configuration items for parameter calibration. As shown in FIG9 , the watch 10 displays a configuration interface for parameter calibration, which includes configuration items related to parameter calibration, such as parameter calibration intervals. Fine-grained, corresponding configuration items for parameter calibration intervals are provided for different user states, and the user can enter or select a duration value for each configuration item. The watch 10 receives the duration entered or selected by the user for one or more calibration interval configuration items in the configuration interface, and uses the duration as the set interval duration for parameter calibration in the corresponding state. The parameter calibration interval that is not configured by the user is defaulted, that is, the set interval duration for the parameter calibration is the initial value.

(2) The time interval from the last parameter calibration reaches the set interval length of parameter calibration in the corresponding state.

For example, assume that different states of the user in the watch 10 correspond to different parameter calibration time intervals. For example, in the above example, the time interval for parameter calibration of the user in a resting state is 30 minutes, and the time interval for parameter calibration of the user in a moving state is 5 minutes. Assuming that the user is in a resting state, the watch 10 performs a parameter calibration at 1:00 and a parameter calibration at 1:30. If it is detected that the user enters a moving state at 1:40, a parameter calibration can be performed at 1:40. Assuming that the user has been in a moving state since then, the watch 10 performs a parameter calibration at 1:45 and a parameter calibration at 1:50, and so on.

It should be noted that the above numerical values are only examples. This application does not limit the specific values and relationships of the interval durations corresponding to different states, and does not limit the time interval for parameter calibration corresponding to the motion state to be shorter than the time interval for parameter calibration corresponding to the resting state.

(3) Obtain the calibration instruction triggered by the user.

There are many ways for the user to trigger the calibration command, which are listed below:

Mode 1: As shown in FIG. 10 , the watch 10 displays a configuration interface for parameter calibration, which includes a parameter calibration button. The user can click the parameter calibration button to trigger the calibration instruction. Accordingly, the watch 10 receives the user's click operation on the parameter calibration button and generates a calibration instruction. Similarly, the watch 10 supports the user to trigger the calibration instruction through physical buttons such as the power on/off button, the configuration button or the dedicated calibration button. The watch 10 receives the user's specific operation on the physical button to generate the calibration instruction.

Method 2: The watch 10 receives a voice command from the user. When the voice command indicates to perform parameter calibration, the voice command is a calibration command.

Optionally, before watch 10 obtains the calibration instruction triggered by the user, watch 10 may push a prompt message to the user that the parameter calibration is overdue to prompt the user to perform parameter calibration in time. The push method can refer to the above-mentioned relevant instructions, such as pushing through text information, image information, voice information, etc., which will not be repeated here.

The parameter calibration conditions applicable to this embodiment may include one or more, and are not limited to the above parameter calibration conditions. When any parameter calibration condition is detected to be met, the parameter calibration process may be triggered. The specific operations of the parameter calibration process may refer to steps 801 to 802.

Step 801, determining gravity, blood pressure and pulse wave related parameters corresponding to the user in multiple postures.

The following takes a posture as an example to introduce the detection process of gravity blood pressure and pulse wave related parameters of the user in this posture:

Step a: the watch 10 detects the user's posture.

In an optional implementation, the watch 10 may notify the user to take a specified posture, which may be any pre-calibrated posture in the aforementioned second corresponding relationship, such as arms hanging naturally, hands behind the back, etc. The method of detecting whether the user's posture is a pre-calibrated posture can be referred to the above-mentioned related introduction, which will not be repeated here, and similar parts will not be described below.

In another implementation, the watch 10 does not instruct the user to make a specified gesture, but monitors the user's gesture over a period of time, and captures any pre-calibrated gesture made by the user from a series of gestures made by the user during the period of time.

Step b: obtaining a second correspondence relationship between multiple postures and gravity blood pressure determined in the pre-calibration stage.

Step c: determining the gravity blood pressure corresponding to the posture based on the second corresponding relationship.

Step d: determining the pulse wave related parameters of the user in the pre-calibrated posture.

The watch 10 can detect the user's pulse wave in real time through the pulse wave detection module 105 to obtain the time domain signal of the user's pulse wave within a period of time, and calculate the pulse wave related parameters based on the time domain signal of the user's pulse wave. Among them, the pulse wave related parameters may include but are not limited to: one or more parameters such as pulse wave transmission time (PTT) and pulse wave transmission velocity (PWV).

PWV and PTT are explained in conjunction with FIG11. The upper right corner of FIG11 is a schematic diagram of the time domain signal of the pulse wave over a period of time, wherein the pulse wave conduction time PTT refers to the conduction time of the pressure wave generated by each heart beat and ejection, which propagates along the aorta wall from a certain point (such as point A in FIG11) to another point (such as point B in FIG11). The pulse wave conduction velocity PWV refers to the conduction velocity of the pressure wave generated by each heart beat and ejection, which propagates along the aorta wall. PWV = L/PTT. The embodiments of the present application provide information on how to determine PTT and PWV. The method is not specifically limited.

Assuming that the moment when the user assumes the pre-calibration posture is the second moment, the watch 10 can calculate the value of the user's pulse wave related parameters at the second moment, such as the PWV value, based on the time domain signal of the user's pulse wave over a period of time (including the second moment), and use the PWV value at the second moment as the PWV value of the user in the pre-calibration posture.

Optionally, when the user maintains a pre-calibrated posture for a period of time, the watch 10 can also calculate the values of the pulse wave related parameters at multiple different moments in the time period, perform data processing on the values of the pulse wave related parameters at multiple different moments, and use the values of the pulse wave related parameters after data processing (such as averaging or weighted averaging) as the values of the pulse wave related parameters of the user in the pre-calibrated posture. Taking PWV as an example, the watch 10 calculates multiple PWV values when the user maintains a pre-calibrated posture, calculates the average value of the multiple PWV values, and uses the average value as the PWV value of the user in the pre-calibrated posture. Optionally, before processing the PWV values at multiple different moments, the multiple values can also be screened or subjected to other processing, which is not specifically limited.

It should be noted that there is no strict time sequence limitation between step d and steps b to c. For example, step d can be executed at the same time as step b, or step d can be executed before step b or step c.

The watch 10 collects the gravity blood pressure and pulse wave related parameters corresponding to the user in various postures in the above manner. Among them, the relative position of the watch 10 body and the user's heart in various postures is different, and the watch 10 can obtain multiple groups of data, each group of data includes the gravity blood pressure and one or more pulse wave related parameters of the user in the posture.

For example, referring to the left side of FIG12, the user is in a posture of swinging his arm backward (recorded as posture 1), and the watch 10 detects the first blood pressure of the user when he makes posture 1 (recorded as P1'). Referring to the middle of FIG12, the user is in a posture of naturally hanging his arm (recorded as posture 2), and the watch 10 detects the first blood pressure of the user when he makes posture 2 (recorded as P2'). Referring to the right side of FIG12, the user is in a posture of raising his arm (recorded as posture 3), and the watch 10 detects the first blood pressure of the user when he makes posture 3 (recorded as P3'). At this point, the first blood pressure corresponding to the user in various postures is obtained, such as P1', P2' and P3'.

It should be noted that pulse wave related parameters usually change dynamically, and may change due to factors such as the user's mood and exercise status. They are not fixed. Therefore, human blood pressure fluctuates.

It should also be noted that in the example of Figure 12 above, the watch 10 determines the gravity blood pressure and pulse wave related parameters corresponding to the three postures. The specific gravity blood pressure and pulse wave related parameters for the several postures that need to be collected depend on the blood pressure model adopted by the watch 10. In addition, determining which pulse wave related parameters are also related to the blood pressure model adopted by the watch 10 will be explained in detail below and will not be repeated here.

Step 802, determining parameters related to blood pressure measurement based on gravity blood pressure and pulse wave related parameters corresponding to the user in various postures.

Parameters related to blood pressure measurement include, but are not limited to, one or more of the following: vascular elastic modulus, vascular thickness, blood viscosity, vascular diameter, and one or more derived coefficients for describing vascular characteristics. The derived coefficient is determined based on the coefficients describing vascular characteristics, such as a derived coefficient that can be a new coefficient determined based on the blood pressure elastic modulus and vascular thickness.

When the watch 10 adopts different blood pressure models, the parameters related to blood pressure measurement determined by the watch 10 are usually different. Two blood pressure models are listed below for introduction:

Blood pressure model 1:
P′＝αPWV ² +β

Wherein, P′ is the blood pressure value measured when the user is in a certain posture, PWV is the pulse wave velocity, and α and β are coefficients used to describe blood vessel characteristics.

When the watch 10 adopts blood pressure model 1, the parameters related to blood pressure measurement may include α and β. In addition, the watch 10 needs to collect the gravity blood pressure and pulse wave velocity PWV of the user in at least 3 different postures in step 801.

Assume that the watch 10 obtains in step 801: the user's gravity blood pressure ΔP1 and pulse wave conduction velocity PWV1 in posture 1; the user's gravity blood pressure ΔP2 and pulse wave conduction velocity PWV2 in posture 2; the user's gravity blood pressure ΔP3 and pulse wave conduction velocity PWV3 in posture 3, and assume that the user's heart blood pressure during this period is P.

Where, P ₁ ′＝αPWV ₁ ² +β＝P+ΔP ₁ ;
P ₂ ′＝αPWV ₂ ² +β＝P+ΔP ₂ ;
P ₃ ′＝αPWV ₃ ² +β＝P+ΔP ₃ ;

Available:

Based on the above algorithm, the values of α, β and P can be calculated.

It can be seen that the watch 10 can calculate a set of α and β values based on the data of three postures. It should be noted that in one parameter calibration, the watch 10 can repeatedly perform the above calculations to obtain multiple sets of α and β values, wherein the data used in each calculation is not completely the same or completely different. For example, the first calculation uses the data of posture 1, posture 2 and posture 3, and the second calculation uses the data of posture 1, posture 2 and posture 4. Then, based on the obtained multiple sets of α and β values, a value of α and a value of β are calculated respectively, such as the value of α is the average or weighted value of the α values in the multiple sets of calculation results, and the value of β is the average or weighted value of the β values in the multiple sets of calculation results, or the value of α is the α value that appears most frequently in the multiple sets of calculation results, and the value of β is the β value that appears most frequently in the multiple sets of calculation results, etc. Optionally, before calculating the values of α and β, the multiple sets of calculation results can also be processed, such as screening, etc., which is not limited to the specifics and will not be repeated below.

The watch 10 uses the values of α and β as the values of α and β after calibration, and updates the values of α and β, such as writing the values of α and β after calibration into the storage module 106, and the calibration of the parameters related to blood pressure measurement is completed. It should be noted that, from a macroscopic point of view, the values of α and β are dynamically changing, not fixed values, and may change with the user's exercise state, age, height, weight, etc. From a microscopic point of view, the values of α and β are usually fixed values over a period of time.

Blood pressure model 2:

Wherein, P′ is the blood pressure value of the user under a certain posture; PTT is the pulse wave transmission time; E ₀ is the elastic modulus of the blood vessel; h is the thickness of the blood vessel; D is the diameter of the blood vessel; L is the length of the blood vessel; ρ is the blood density, ranging from 1043 to 1060 kg/m ³ ; γ is a constant, ranging from 0.016 to 0.018.

When the watch 10 adopts the blood pressure model 2, the parameters related to blood pressure measurement may include: E ₀ , h, and D. Among them, L can be obtained by controlling the detection position of the pulse wave detection module 105 (such as the position of point A and point B in FIG. 11 ), PTT can be obtained by detection by the pulse wave detection module 105, and ρ and γ are constants.

When watch 10 adopts blood pressure model 2, watch 10 needs to collect at least 4 sets of gravity blood pressure and pulse wave conduction velocity PTT in different postures in step 801. It is assumed that watch 10 obtains through step 801: the gravity blood pressure ΔP1 and pulse wave conduction time PTT1 of the user in posture 1, the gravity blood pressure ΔP2 and pulse wave conduction time PTT2 of the user in posture 2, the gravity blood pressure ΔP3 and pulse wave conduction time PTT3 of the user in posture 3, and the gravity blood pressure ΔP4 and pulse wave conduction time PTT4 of the user in posture 4, and it is assumed that the user's heart blood pressure during this period is P.

in,

Based on the above formula, the values of E ₀ , h, D and P can be obtained. The watch 10 updates the values of E ₀ , h, D, such as writing the values of E ₀ , h, D after this calibration into the storage module 106. At this point, the calibration of parameters related to blood pressure measurement is completed. It should be noted that, macroscopically, E ₀ , h, D are not fixed values, and they may change with the user's exercise state, age, weight, etc. Microscopically, E ₀ , h, D are usually fixed values for a period of time.

Optionally, in any of the above two methods, the watch 10 can push the heart blood pressure value obtained by this parameter calibration, that is, the value of P, to the user. For example, the watch 10 outputs a prompt message, and the prompt message is used to indicate the user's heart blood pressure. Similarly, the prompt message can be a text message, or an audio message, etc., which is not specifically limited. Alternatively, the watch 10 sends the heart blood pressure value of the user to other electronic devices, such as mobile phones, car terminals, iPads and other devices. Taking a mobile phone as an example, when a connection is established between the mobile phone and the watch 10 (such as a Bluetooth connection), the watch 10 can send the heart blood pressure value to the mobile phone. Optionally, other interfaces listed in this article that can be displayed on the blood pressure measurement device (watch 10 or watch 20) can also be displayed on other electronic devices of the user.

After calibrating the parameters related to blood pressure measurement, the watch 10 can perform continuous blood pressure measurement based on these calibrated parameters for a period of time. The blood pressure measurement stages are introduced as follows:

3. Blood pressure measurement stage:

FIG13 is a flow chart of a blood pressure measurement method provided in an embodiment of the present application. As shown in FIG13 , the method may include:

Step 1300: Detect the user's posture.

The blood pressure measurement method provided in the embodiment of the present application can measure the user's blood pressure (heart blood pressure) in real time or periodically. In view of this, the present application provides a configuration interface, which is displayed on the display module 103. The configuration interface may include a measurement interval configuration item. The display module 103 may receive the duration input or selected by the user for the measurement interval configuration item, and use the duration as the time interval for periodic measurement.

The configuration interface may further include an immediate measurement button, and the display module 103 may perform a heart pressure measurement in response to a user's touch operation on the immediate measurement button.

The specified pulse wave related parameters are related to the blood pressure model applied by the watch 10, please refer to the above introduction, which will not be repeated here.

Step 1301, determining the gravity blood pressure corresponding to the detected posture.

In one implementation, the watch 10 may notify the user to strike a specified posture, and the specified posture may be any pre-calibrated posture in the aforementioned second corresponding relationship.

In this case, the watch 10 can determine the gravity blood pressure corresponding to the detected pre-calibration posture according to the second corresponding relationship determined in the pre-calibration stage.

In another implementation, the watch 10 does not instruct the user to make a specified posture, but randomly captures a posture of the user, obtains the feature set corresponding to the posture, and determines the posture that matches or is close to the feature set by comparing the feature set corresponding to the posture with the aforementioned first correspondence. If the feature set matches the feature set of a pre-calibrated posture, the posture is a pre-calibrated posture, and the watch 10 can determine the gravity blood pressure corresponding to the pre-calibrated posture according to the aforementioned second correspondence. If there is no match, one or more pre-calibrated postures close to the posture are determined, and the gravity blood pressure corresponding to the posture is inferred according to the gravity blood pressures corresponding to the one or more pre-calibrated postures. The present application does not limit how to determine one or more postures close to the posture and the method for inferring the gravity blood pressure corresponding to the posture. For example, it can be determined according to a neural network model, or it can be determined by other methods, and there is no specific limitation.

Step 1302: Determine pulse wave related parameters (such as PWV) of the user in the posture.

Step 1303, obtaining parameters related to calibrated blood pressure measurement (such as α and β).

It should be understood that when the watch 10 adopts a different blood pressure model, the pulse wave related parameters determined in step 1302 are different, and the blood pressure measurement related parameters determined in step 1303 are also different. Please refer to the above related introduction, which will not be repeated here.

Step 1304, determining the user's heart blood pressure based on the calibrated blood pressure measurement related parameters, the user's gravity blood pressure in the current posture, and the pulse wave related parameters.

Step 1305, display the user's heart blood pressure.

14 is a schematic diagram of a blood pressure measurement interface provided in an embodiment of the present application, wherein the interface displays the measured value of the user's heart blood pressure and may optionally include other information. For example, the watch 10 also allows the user to view blood pressure records over a period of historical time.

The above design can determine the user's gravity blood pressure in this posture by detecting the user's posture and the preset corresponding relationship, and measure the user's heart blood pressure based on the calibrated blood pressure measurement-related parameters, the user's gravity blood pressure in this posture and pulse wave-related parameters, thereby realizing non-contact continuous blood pressure measurement throughout the process, and the parameters related to blood pressure measurement are values obtained after calibration, with high accuracy, thereby improving the accuracy and precision of non-contact blood pressure measurement.

It should be noted that, in order to simplify the operation, one or more configuration interfaces listed above may not be displayed to the user, and the corresponding default configuration may be used. In addition, each configuration interface may also display more or less information than the content shown in this document. The present application does not limit the specific content and format of each configuration interface, and the content of a configuration interface may also be displayed separately through multiple interfaces, or the content of multiple configuration interfaces may be displayed in one interface. The embodiments of the present application do not limit this.

Figure 15 is a structural schematic diagram of another blood pressure measuring device 20 provided in an embodiment of the present application. Compared with the blood pressure measuring device 10, the blood pressure measuring device 20 lacks the measuring module 101, that is, the blood pressure measuring device 20 cannot directly measure the user's blood pressure. The blood pressure here refers to the aforementioned heart blood pressure and the first blood pressure. The remaining modules can be found in the relevant introduction of the aforementioned Figure 1 and will not be repeated here.

The following is an introduction to other pre-calibration methods provided by the present application in combination with the blood pressure measuring device 20. For ease of explanation, the following explanation is given using a watch 20 instead of the blood pressure measuring device 20. The following watches 20 can all be replaced with the blood pressure measuring device 20, and the blood pressure measuring device 20 is not limited to a watch, but can be other product forms, and the present application does not limit this.

The second pre-calibration method provided in the embodiment of the present application is introduced as follows, and the method may include:

(1) When the pre-calibration condition is met, the pre-calibration process is triggered. See the introduction of step 300, which will not be repeated here.

(2) Obtain the user's heart blood pressure.

An embodiment of the present application provides a method of obtaining the information, including: the watch 20 outputs a prompt message, which prompts the user to measure the heart blood pressure. The form of the prompt message can be found in the relevant introduction above and will not be repeated here.

As shown in Figure 16, an embodiment of the present application provides another pre-calibration configuration interface, which includes the prompt information and the heart blood pressure input item. Since the watch 20 cannot directly measure the user's blood pressure, at this time, the user can use other blood pressure monitors to measure the current heart blood pressure, and enter or select the measured heart blood pressure value in the heart blood pressure input item.

(3) Obtain the user's first blood pressure in multiple postures.

First, the watch 20 determines a first correspondence between a posture and a posture identifier, see the detailed introduction of the above step 302, which will not be repeated here.

Afterwards, the watch 20 instructs the user to measure and input the blood pressure in different postures. FIG17 is another pre-calibration configuration interface provided in an embodiment of the present application, the pre-calibration interface includes one or more blood pressure input items corresponding to postures, and the blood pressure input items are used by the user to input or select the blood pressure value measured by the user in the posture.

Alternatively, the watch 20 provides multiple interfaces, each of which is used to instruct the user to measure the blood pressure value of a posture. For example, when the first interface is displayed, the first interface displays prompt information 1, which instructs the user to measure the blood pressure in posture 1 (i.e., the first blood pressure). Similarly, the user can use other blood pressure measuring instruments to measure the blood pressure in posture 1, and input the measured blood pressure value into the blood pressure input item corresponding to posture 1. Afterwards, the watch 20 displays the second interface, and the second interface displays prompt information 2, which instructs the user to measure the blood pressure in posture 2. Similarly, the user can use other blood pressure measuring instruments to measure the blood pressure in posture 2, and input the measured blood pressure value into the blood pressure input item corresponding to posture 2, and so on, that is, the blood pressure configuration items of multiple postures in FIG. 17 are dispersed in multiple interfaces for configuration.

(4) Calculate the user's gravity blood pressure in each posture. See the introduction of step 303, which will not be repeated here.

Based on the acquired heart blood pressure of the user and the acquired blood pressure of the user in each posture, the gravity blood pressure of the user in each posture is calculated.

(5) Generate and store the second correspondence between the user's multiple postures and the gravity blood pressure in each posture, see the above description, which will not be repeated here. See the introduction of step 304, which will not be repeated here.

FIG18 is a flow chart of a third pre-calibration method provided in an embodiment of the present application. As shown in FIG18 , the method includes:

Step 1801, instructing the user to input length information for measuring blood pressure.

The length information may refer to the surface distance between the extremity of the user wearing the watch 20 and the user's heart.

Optionally, as shown in FIG. 19 , the watch 20 sends a notification to the user to instruct the user to measure the body surface distance from the source end to the target source, and optionally, the user can be instructed on how to correctly measure the body surface distance between the two. The display module 103 instructs the user to input or select the body surface distance measured by the user.

For example, when the user wears the watch 20 on the wrist, the watch 20 may instruct the user to measure the body surface distance between the point three fingers up from the inside of the elbow (source end) and the wrist (target end). For another example, when the user wears the watch 20 on the ankle, the watch 20 may instruct the user to measure the body surface distance from the point three fingers up from the inside of the elbow (source end) to the ankle (target end). It should be understood that the point three fingers up from the inside of the elbow is almost at the same height as the user's heart, which is convenient for the user to locate the heart position. In actual applications, the user may also be instructed to measure the body surface distance between the limb position where the user wears the watch 20 and the user's heart in other ways, and the embodiments of the present application are not limited to this.

Step 1802, obtaining the height difference corresponding to the user in different postures, where the height difference refers to the height difference between the watch 20 body and the user's heart in the user's posture.

First, the watch 10 determines the first corresponding relationship. Please refer to the detailed description of step 302 above, which will not be repeated here.

Afterwards, the watch 10 obtains the height difference corresponding to the user in different postures. Specifically, in one implementation, for any pre-calibrated posture, the watch 20 instructs the user to assume a pre-calibrated posture, and instructs the user to manually measure the height difference between the watch 20 and the user's heart in the posture, and instructs the user to input the height difference in the watch 10, see Figure 20.

Step 1803, determining the functional relationship between the length information and the height difference under different postures of the user, and the functional relationship is used to calculate the height difference between the watch 20 and the heart height based on the length information.

For example, taking the watch 20 worn on the wrist as an example, assuming that the length information is the body surface distance L between the position below the upper arm three fingers and the wrist, assuming that the functional relationship satisfies the height difference ΔH＝a*L+b, where a and b are both constants. In conjunction with Figure 12, see the middle of Figure 12. When the user's arm is naturally hanging down, the height difference ΔH between the watch 20 and the heart is equal to the body surface distance L. At this time, the functional relationship corresponding to the posture is ΔH＝L. Referring to the right side of Figure 12, when the user's arm is raised, the height difference ΔH between the watch 20 and the heart is approximately equal to the body surface distance L. The distance is L/2, and the functional relationship corresponding to the posture is ΔH=0.5*L.

Step 1804 , generating a third correspondence relationship, where the third correspondence relationship indicates a correspondence relationship between a plurality of postures and functional relationships.

See Table 3 for some examples of the third corresponding relationship.

Table 3. The third correspondence

Step 1805: determine a second correspondence between multiple postures and gravity blood pressure indicating the user.

As mentioned above, the watch 20 can calculate the user's gravity blood pressure in multiple postures based on the following formula:

P＝ρgΔH

Wherein, ρ represents the blood density, g represents the gravitational acceleration at the user's geographical location, and ρ and g can be regarded as constants.

Based on this, the watch 20 can determine the second corresponding relationship as shown in Table 4.

Table 4. Second correspondence

It should be noted that Table 4 is only an example for explaining how to determine the second corresponding relationship based on the third corresponding relationship. In fact, the second corresponding relationship may not include a function relationship column.

In addition, the correspondence between the user's posture and the gravity blood pressure is referred to as the second correspondence herein, which does not mean that the contents of each second correspondence are the same. Similarly, determining the first blood pressure of the user in multiple postures means measuring the blood pressure values of the user in multiple postures, which does not mean that the blood pressure values measured in multiple postures are the same.

Optionally, step 1804 can also be performed in the blood pressure measurement method. For example, after detecting the user's posture, the height difference corresponding to the posture is determined based on the third corresponding relationship, and the gravity blood pressure corresponding to the height difference is determined based on the formula for calculating the gravity blood pressure in the previous article. In order to improve the efficiency of blood pressure measurement, it is usually performed in the pre-calibration stage, but this application is not limited to this.

A fourth pre-calibration method provided in an embodiment of the present application includes:

(1) Instruct the user to input length information for measuring blood pressure.

(2) Determine a second corresponding relationship based on the preset third corresponding relationship and the length information input by the user.

The preset third correspondence indicates the correspondence between multiple postures and functional relationships. The difference between this step and step 1803 is that the third correspondence is not calculated by the watch 20, but is preset in the watch 20. For how to determine the second correspondence, please refer to the relevant introduction of the aforementioned step 1804, which will not be repeated here.

The above pre-calibration method can be applied to electronic devices that do not have the function of directly measuring blood pressure, thereby improving the flexibility and accuracy of the solution application.

It should be noted that the watch 10 in the above-mentioned second to fourth pre-calibration methods may not have the measurement module 101, or in other words, the pre-calibration method can be applied to a blood pressure measurement device that does not have the function of directly measuring the user's blood pressure. It should also be noted that some of the steps in the above-mentioned first to fourth pre-calibration methods can be recombined or replaced. For example, in the first pre-calibration method, step 300 can adopt the method of user inputting heart blood pressure, that is, the watch 10 instructs the user to measure separately and input heart blood pressure in the pre-calibration configuration interface shown in Figure 8, and the remaining steps remain unchanged, etc. This application does not limit this.

The watch 20 can adopt the parameter calibration method and blood pressure measurement method adopted by the aforementioned watch 10, which will not be repeated here.

Optionally, the computer-executable instructions in the embodiments of the present application may also be referred to as application code, which is not specifically limited in the embodiments of the present application.

In the above embodiments, all or part of the embodiments may be implemented by software, hardware, firmware, or any combination thereof. When implemented by software, all or part of the embodiments may be implemented in the form of a computer program product. The computer program product includes one or more computer instructions. When the computer program instructions are loaded and executed on a computer, the process or function described in the embodiments of the present application is generated in whole or in part. The computer may be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions The instructions may be stored in a computer-readable storage medium, or transmitted from one computer-readable storage medium to another computer-readable storage medium. For example, the computer instructions may be transmitted from one website, computer, server or data center to another website, computer, server or data center by wired (e.g., coaxial cable, optical fiber, digital subscriber line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.) means. The computer-readable storage medium may be any available medium that can be accessed by a computer or a data storage device such as a server or data center that includes one or more available media integrated therein. The available medium may be a magnetic medium (e.g., a floppy disk, a hard disk, a magnetic tape), an optical medium (e.g., a DVD), or a semiconductor medium (e.g., a solid state drive (SSD)).

The various illustrative logic units and circuits described in the embodiments of the present application can be implemented or operated by a general-purpose processor, a digital signal processor, an application-specific integrated circuit (ASIC), a field programmable gate array (FPGA) or other programmable logic device, a discrete gate or transistor logic, a discrete hardware component, or the design of any combination of the above to implement or operate the described functions. The general-purpose processor can be a microprocessor, and optionally, the general-purpose processor can also be any traditional processor, controller, microcontroller or state machine. The processor can also be implemented by a combination of computing devices, such as a digital signal processor and a microprocessor, a plurality of microprocessors, one or more microprocessors combined with a digital signal processor core, or any other similar configuration to implement.

The steps of the method or algorithm described in the embodiments of the present application can be directly embedded in the software unit executed by the hardware, the processor, or a combination of the two. The software unit can be stored in a RAM memory, a flash memory, a ROM memory, an EPROM memory, an EEPROM memory, a register, a hard disk, a removable disk, a CD-ROM or other storage media of any form in the art. Exemplarily, the storage medium can be connected to the processor so that the processor can read information from the storage medium and can write information to the storage medium. Optionally, the storage medium can also be integrated into the processor. The processor and the storage medium can be arranged in an ASIC.

These computer program instructions may also be loaded onto a computer or other programmable data processing device so that a series of operational steps are executed on the computer or other programmable device to produce a computer-implemented process, whereby the instructions executed on the computer or other programmable device provide steps for implementing the functions specified in one or more processes in the flowchart and/or one or more boxes in the block diagram.

Although the present application has been described in conjunction with specific features and embodiments thereof, it is obvious that various modifications and combinations may be made thereto without departing from the spirit and scope of the present application. Accordingly, this specification and the drawings are merely exemplary illustrations of the present application as defined by the appended claims, and are deemed to have covered any and all modifications, variations, combinations or equivalents within the scope of the present application. Obviously, a person skilled in the art may make various modifications and variations to the present application without departing from the scope of the present application. Thus, if these modifications and variations of the present application fall within the scope of the claims of the present application and their equivalents, the present application is also intended to include these modifications and variations.

Claims

A blood pressure measuring device, which can be worn or held on a user's limb, is characterized in that the device comprises: a measuring module, a display module;

The measuring module is used to measure the first blood pressure of the user in various postures; the relative position of the blood pressure measuring device body and the user's heart in different postures of the user is different;

The display module is used to display the second blood pressure of the user, where the second blood pressure is determined based on the first blood pressure of the user in multiple postures.
The device according to claim 1, characterized in that the device further comprises a processing module and a pulse wave detection module;

The processing module is used to determine the gravity blood pressure corresponding to the user in multiple postures respectively; the gravity blood pressure of the user in each posture is related to the relative height difference between the blood pressure measurement device body and the user's heart in the posture;

The pulse wave detection module is used to detect the pulse wave signal of the user in each of the multiple postures;

The processing module is further used to determine the second blood pressure and parameters related to blood pressure measurement according to the gravity blood pressure and the pulse wave signal corresponding to each posture of the user in multiple postures.
The device according to claim 2, characterized in that the device also includes a posture sensing module;

When the processing module determines the gravity blood pressure corresponding to the user in multiple postures, it is specifically used to:

Detecting the multiple postures of the user through the posture sensing module;

The gravity blood pressure corresponding to each of the multiple postures is determined based on a preset corresponding relationship, where the preset corresponding relationship includes a corresponding relationship between different postures and gravity blood pressure.
The device according to claim 2 or 3, characterized in that

The processing module is further used to determine the gravity blood pressure of the user at the first moment;

The pulse wave detection module is used to detect the pulse wave signal of the user at a first moment;

The processing module is further used to determine a third blood pressure of the user at the first moment based on the blood pressure measurement-related parameters, the gravity blood pressure of the user at the first moment, and the pulse wave signal.
The device according to any one of claims 1 to 4, characterized in that the detection module is specifically used to measure the first blood pressure of the user in multiple postures when a calibration condition is met;

The calibration conditions include one or more of the following:

The time interval from the last calibration reaches the first interval length;

It is detected that the user's state has changed, and the time interval from the last calibration reaches the second interval length; the first interval length is greater than the second interval length;

It is detected that a user triggers a calibration instruction, wherein the calibration instruction instructs calibration of parameters related to blood pressure measurement of the device.
The device according to claim 5, characterized in that the device further comprises an interaction module;

The interaction module is used to display a user interface, wherein the user interface includes a calibration button;

When the processing module detects that the user triggers a calibration instruction, it is specifically used to:

It is detected that the user clicks a calibration button in the user interface.
The device according to any one of claims 1 to 6, characterized in that the device further comprises an interaction module;

The interaction module is further configured to push one or more notifications to the user, each notification instructing the user to perform at least one of the multiple gestures.
A blood pressure measurement method, characterized in that the method comprises:

measuring a first blood pressure of a user in a plurality of postures; the relative position of the blood pressure measuring device body and the user's heart being different in the different postures of the user;

A second blood pressure of the user is displayed, where the second blood pressure is determined based on the first blood pressure of the user in multiple postures.
The method according to claim 8, characterized in that the method further comprises:

Determine the gravity blood pressure corresponding to the user in multiple postures respectively; the gravity blood pressure of the user in each posture is related to the relative height difference between the blood pressure measurement device body and the user's heart in the posture;

detecting a pulse wave signal of the user in each of the plurality of postures;

The second blood pressure and parameters related to blood pressure measurement are determined according to the gravity blood pressure and the pulse wave signal corresponding to each posture of the user in the multiple postures.
The method according to claim 9, wherein determining the gravity blood pressure corresponding to the user in multiple postures comprises:

detecting the plurality of postures of the user;

The gravity blood pressure corresponding to each of the multiple postures is determined based on a preset corresponding relationship, where the preset corresponding relationship includes a corresponding relationship between different postures and gravity blood pressure.
The method according to claim 9 or 10, characterized in that the method further comprises:

Determine the gravity blood pressure of the user at a first moment;

detecting a pulse wave signal of the user at a first moment;

A third blood pressure of the user at the first moment is determined based on the blood pressure measurement-related parameters, the gravity blood pressure of the user at the first moment, and the pulse wave signal.
The method according to any one of claims 8 to 11, characterized in that the method further comprises:

When a calibration condition is met, measuring a first blood pressure of the user in multiple postures;

The calibration conditions include one or more of the following:

The time interval from the last calibration reaches the first interval length;

It is detected that the user's state has changed, and the time interval from the last calibration reaches the second interval duration; the first interval duration is greater than the second interval duration;

It is detected that a user triggers a calibration instruction, wherein the calibration instruction instructs calibration of parameters related to blood pressure measurement of the device.
The method according to claim 12, characterized in that the method further comprises:

Displaying a user interface, wherein the user interface includes a calibration button;

Detection of user-triggered calibration instructions, including:

It is detected that the user clicks a calibration button in the user interface.
The method according to any one of claims 8 to 13, characterized in that the method further comprises:

One or more notifications are pushed to a user, each notification instructing the user to perform at least one of the plurality of gestures.
An electronic device, characterized in that it comprises at least one processor, wherein the at least one processor is coupled to at least one memory, and the at least one processor is used to read a computer program stored in the at least one memory to execute a method as described in any one of claims 8 to 14.
An electronic device, characterized in that it comprises a plurality of functional modules; the plurality of functional modules interact with each other to implement the method described in any one of claims 8 to 14.
A computer-readable storage medium, characterized in that instructions are stored in the computer-readable storage medium, and when the computer-readable storage medium is run on a computer, the computer is caused to execute any method as claimed in claim 8-14.
A computer program product comprising instructions, characterized in that when the computer program product is run on a computer, the computer is caused to execute the method according to any one of claims 8 to 14.