Blood pressure measuring method and related device

Abstract

The embodiment of the invention provides a blood pressure measuring method and a related device, in the method, wearable equipment is provided with an air bag and an air pressure sensor, a stop valve is arranged between the air bag and an air pump, and the method can comprise the steps that when the wearable equipment measures blood pressure, the air pump of the wearable equipment inflates the air bag, so that the pressure in the air bag is a first pressure value; then, the wearable device can make the air volume in the air bag constant or make the pressure in the air bag constant; the wearable device can detect a pressure wave signal in the inflation process of the air bag through the air pressure sensor, and then the wearable device can determine systolic pressure and diastolic pressure of a user based on the pressure wave signal. Therefore, when the user uses the wristwatch to measure the blood pressure, the comfortable pressurization mode is adopted, the blood pressure evaluation index can be obtained, the pressurization time is shorter, the compressive strength is lower, and the user experience is better.

Description

Technical Field

[0001] The present application relates to the technical field of blood pressure measurement, and in particular to a blood pressure measurement method and related devices. Background Art

[0002] At present, with the continuous development of blood pressure measurement technology, more and more wearable devices that can measure blood pressure have emerged. For example, wearable devices such as watches and bracelets can measure blood pressure. In this way, measuring blood pressure through wearable devices can meet the needs of users to conveniently measure blood pressure in daily life.

[0003] Generally, wearable devices can measure blood pressure by oscillometric method. When measuring blood pressure, wearable devices can block the user's arterial blood flow by inflating an inflatable cuff or airbag. When the inflatable cuff or airbag blocks the arterial blood flow, the user feels obvious pressure. In this way, when the user sleeps at night, it is easy to affect the user's sleep, and the user experience is poor.

[0004] Therefore, how to reduce the impact on users when wearable devices measure blood pressure is an urgent problem to be solved. Summary of the invention

[0005] The present application provides a blood pressure measurement method and related devices. Through the blood pressure measurement method provided by the present application, when a user measures blood pressure, especially when the user measures blood pressure at night, comfortable pressurization can be performed, which can reduce the impact on the user.

[0006] In a first aspect, the present application provides a blood pressure measurement method, which can be applied to a wearable device. The wearable device may include an air pump, an air bag and an air pressure sensor. The method may include: when the wearable device detects that the wearing state is worn, the wearable device controls the air pump to inflate and deflate the air bag, and detects the pressure of the air bag through the air pressure sensor to obtain a first pressure wave signal, and the first pressure wave signal includes an air pressure peak; the wearable device determines a first blood pressure value based on the first pressure wave signal, and the wearable device stores the first pressure wave signal and the first blood pressure value; the wearable device controls the air pump to inflate the air bag so that the air pressure in the air bag reaches a first air pressure value, and the first air pressure value is less than the air pressure peak value; the wearable device determines the blood pressure measurement result based on the first air pressure value, the first pressure wave signal and the first blood pressure value.

[0007] In this way, the wearable device can be calibrated by inflating the wearable device to measure the airbag pressure when the user wears the wearable device. Then, when officially measuring blood pressure, it is only necessary to inflate the airbag until the pressure reaches a first pressure value, which is less than the pressure peak value in the pressure wave signal during calibration. In this way, the impact on the user can be reduced. Thus, the user experience can be improved.

[0008] In a possible implementation, after the wearable device controls the air pump to inflate the airbag so that the air pressure in the airbag reaches a first air pressure value, the method may include: the wearable device controls the airbag so that the air pressure in the airbag remains at the first air pressure value within a first time period. In this way, when measuring blood pressure, the pressure in the airbag is kept constant, which can avoid continuous pressurization that increases the pressure on the user caused by the airbag.

[0009] In a possible implementation, the wearable device further includes a stop valve, which is connected to an air pump and an airbag. The wearable device controls the air pump to inflate the airbag so that after the air pressure in the airbag reaches a first air pressure value, the method can adjust the amount of air in the airbag so that the amount of air in the airbag remains unchanged during a second time period. In this way, when measuring blood pressure, the amount of air in the airbag remains constant, which can avoid continuous pressurization that increases the pressure of the airbag on the user.

[0010] In a possible implementation, the wearable device controls the air pump to inflate the airbag so that before the air pressure in the airbag reaches the first air pressure value, the method may further include: the wearable device detects the wearing state of the wearable device. In this way, it is possible to avoid measuring blood pressure when the wearable device is not worn, or changing the user of blood pressure measurement. Thus, it is possible to avoid the situation where the blood pressure measurement result is inaccurate due to the inconsistency between the user during calibration and the user during blood pressure measurement.

[0011] In a possible implementation, the wearable device detects the wearing state of the wearable device, which may include: when the wearable device detects a photoelectric volume pulse wave signal PPG, and / or detects that the capacitance value is greater than the capacitance threshold, and / or detects that the acceleration is greater than the acceleration threshold within a preset time, and / or detects that the temperature is greater than the first temperature threshold and less than the second temperature threshold, and / or detects that the intensity of the reflected light is greater than the intensity threshold, the wearable device determines that the wearing state of the wearable device is worn. In this way, it can be detected whether the wearing state of the wearable device is worn.

[0012] In one possible implementation, when the wearable device detects that the wearing state is worn, the wearable device controls the air pump to inflate the airbag, and detects the pressure of the airbag through the air pressure sensor to obtain a first pressure wave signal, which may include: when the wearable device detects that the wearing state is worn, the wearable device prompts the user to maintain a first posture; when the wearable device detects that the time for which the user maintains the first posture is greater than or equal to the first time length, the wearable device controls the air pump to inflate the airbag, and detects the pressure of the airbag through the air pressure sensor to obtain a first pressure wave signal.

[0013] The wearable device controls the air pump to inflate the airbag so that before the air pressure in the airbag reaches a first air pressure value, the method may also include: the wearable device prompts the user to change from the first posture to the second posture.

[0014] The first posture may be a lying posture, and the second posture may be a standing posture.

[0015] In this way, the wearable device can measure the user's blood pressure when it is in a first posture, such as lying down, and calibrate it, and then detect the user's blood pressure when it changes from the first posture to a second posture (for example, standing), so as to evaluate whether the user has postural high / low blood pressure.

[0016] In a possible implementation, when the wearable device detects that the wearing state is worn, the wearable device controls the air pump to inflate the airbag, and detects the pressure of the airbag through the air pressure sensor to obtain the first pressure wave signal, which may include:

[0017] When the wearable device detects that the wearing state is worn, the wearable device prompts the user to maintain the third posture; when the wearable device detects that the time length for which the user maintains the third posture is greater than or equal to the second time length, the wearable device controls the air pump to inflate the airbag, and detects the pressure of the airbag through the air pressure sensor to obtain a first pressure wave signal.

[0018] The wearable device controls the air pump to inflate the airbag so that the air pressure in the airbag reaches a first air pressure value, which may include: when the wearable device detects a sleep apnea event or a blood oxygen drop event, the wearable device controls the air pump to inflate the airbag so that the air pressure in the airbag reaches the first air pressure value.

[0019] Among them, the third posture can be a lying posture.

[0020] In this way, when the user is sleeping, the wearable device can measure the user's blood pressure when lying down before going to bed, perform calibration, and then measure the user's blood pressure again when it detects that the user has a sleep apnea event or a drop in blood oxygen. And monitor the user's blood pressure while sleeping. In this way, it can be evaluated whether the user has sleep apnea hypertension.

[0021] In one possible implementation, when the wearable device detects that the wearing state is worn, the wearable device controls the air pump to inflate the airbag, and detects the pressure of the airbag through the air pressure sensor to obtain a first pressure wave signal, which may include: when the wearable device detects that the wearing state is worn, the wearable device prompts the user to maintain a fourth posture; when the wearable device detects that the time for which the user maintains the fourth posture is greater than or equal to the third time, the wearable device controls the air pump to inflate the airbag, and detects the pressure of the airbag through the air pressure sensor to obtain a first pressure wave signal.

[0022] The wearable device controls the air pump to inflate the airbag so that before the air pressure in the airbag reaches a first air pressure value, the method may also include: the wearable device receives the meal start time and meal end time input by the user.

[0023] Among them, the fourth posture can be a sitting posture.

[0024] In this way, the wearable device can measure the user's blood pressure before a meal and monitor the user's blood pressure after a meal, thereby evaluating whether the user has postprandial hypotension.

[0025] In a possible implementation, the wearable device determines the blood pressure measurement result based on the first air pressure value, the first pressure wave signal and the first blood pressure value, which may specifically include: the wearable device determines the first ratio value based on the first blood pressure value and the first pressure wave signal; the wearable device determines the blood pressure measurement result based on the first air pressure value and the first ratio value. In this way, the blood pressure measurement result can be determined based on the proportional relationship between the airbag pressure value and the blood pressure value contained in the pressure wave signal and the first air pressure value obtained when measuring the blood pressure.

[0026] In a possible implementation, the first blood pressure value may include a first diastolic pressure and a first systolic pressure, and the wearable device determines a first proportional value based on the first blood pressure value and the first pressure wave signal, which may specifically include: the wearable device determines a first blood pressure DC component and a first blood pressure AC component based on the first diastolic pressure and the first systolic pressure; the wearable device determines a first pressure DC component and a first pressure AC component of the first pressure wave signal; the wearable device determines a first proportional value based on the first blood pressure DC component, the first blood pressure AC component, and the first pressure DC component and the first pressure AC component.

[0027] The first blood pressure AC component is the difference between the first systolic pressure and the first diastolic pressure; the first blood pressure DC component is the sum of the first value and the first diastolic pressure, and the first value is equal to the first coefficient multiplied by the first blood pressure AC component.

[0028] The first ratio value is equal to the first superposition value divided by the second superposition value, the first superposition value is equal to the superposition of the first pressure DC component and the first pressure AC component, and the second superposition value is equal to the superposition of the first blood pressure DC component and the first blood pressure AC component.

[0029] In this way, the proportional relationship between the airbag pressure value and the blood pressure value contained in the pressure wave signal can be determined.

[0030] In one possible implementation, the wearable device determines the blood pressure measurement result based on the first air pressure value and the first ratio value, which may include: the wearable device determines the second pressure DC component and the second pressure AC component based on the first air pressure value; the wearable device determines the second blood pressure DC component and the second blood pressure AC component based on the second pressure DC component, the second pressure AC component and the first ratio value; the wearable device determines the second systolic pressure and the second diastolic pressure based on the second blood pressure DC component and the second blood pressure AC component.

[0031] The first systolic pressure and the first diastolic pressure are the blood pressure measurement results of the first user measured by the wearable device within a third time period; the second systolic pressure and the second diastolic pressure are the blood pressure measurement results of the first user measured by the wearable device within a fourth time period, and the fourth time period is a time period after the third time period.

[0032] In this way, the wearable device can determine the blood pressure measurement result of the user when measuring blood pressure, namely the second systolic pressure and the second diastolic pressure.

[0033] In a possible implementation, the wearable device also includes a wearable component. After the wearable device determines the first pressure DC component and the first pressure AC component of the first pressure wave signal, the method may further include: the wearable device determines a second ratio value between the first pressure AC component and the first blood pressure AC component; the wearable device determines a third ratio value between the first external force and the first blood pressure DC component, and the first external force is the force exerted by the wearable component on the airbag within the first time period.

[0034] Exemplarily, when the wearable device is a watch, the wearable component may be a watch strap.

[0035] In this way, when calibrating the wearable device, the proportional relationship between the external force and the blood pressure value, as well as the proportional relationship between the airbag pressure and the blood pressure value can be determined.

[0036] In a possible implementation, after the wearable device controls the air pump to inflate the airbag so that the air pressure in the airbag reaches a first air pressure value, the method may further include: the wearable device determines the blood pressure measurement result based on the first air pressure value, the second ratio value and the third ratio value.

[0037] In this way, when measuring blood pressure, the wearable device does not need to perform a complete oscillometric process. The blood pressure value can be determined by the oscillometric method. The blood pressure measurement result can be determined based on the first air pressure value, the proportional relationship between the external force and the blood pressure value, and the proportional relationship between the airbag pressure and the blood pressure value.

[0038] In a possible implementation, the wearable device determines the blood pressure measurement result based on the first air pressure value, the second ratio value and the third ratio value, which may include: the wearable device determines the second pressure AC component based on the first air pressure value; the wearable device determines the third blood pressure AC component based on the second pressure AC component and the second ratio value; the wearable device determines the third blood pressure DC component based on the second ratio value and the second external force, the second external force being the force exerted by the wearable component on the airbag in the second time period; the wearable device determines the blood pressure measurement result based on the third blood pressure AC component and the third blood pressure DC component.

[0039] The third blood pressure AC component is equal to the second proportional value multiplied by the second pressure AC component; and the third blood pressure DC component is equal to the third proportional value multiplied by the second external force.

[0040] In this way, when measuring blood pressure, the wearable device does not need to perform a complete oscillometric process. The blood pressure value can be determined by the oscillometric method. The blood pressure measurement result can be determined based on the first air pressure value, the proportional relationship between the external force and the blood pressure value, and the proportional relationship between the airbag pressure and the blood pressure value.

[0041] In one possible implementation, the wearable device controls an air pump to inflate the airbag, and detects the pressure of the airbag through an air pressure sensor. After obtaining a first pressure wave signal, the method may also include: the wearable device filters out a first pulse wave oscillation signal from the first pressure wave signal; and the wearable device determines multiple waveform features in the first pulse oscillation signal.

[0042] In one possible implementation, after the wearable device controls the air pump to inflate the airbag so that the air pressure in the airbag reaches a first air pressure value, the method may further include: an air pressure sensor in the wearable device detects the pressure of the airbag from the beginning of inflation to the air pressure in the airbag reaching the first air pressure value, and obtains a second pressure wave signal; the wearable device filters out a second pulse oscillation wave signal from the second pressure wave signal; the wearable device determines multiple waveform features in the second pulse oscillation wave signal; the wearable device determines a blood pressure measurement result based on the multiple waveform features in the first pulse oscillation signal and the multiple waveform features in the second pulse oscillation wave signal.

[0043] In this way, when the wearable device measures blood pressure, there is no need to inflate the airbag to block the user's blood flow and then inflate the airbag. It only needs to inflate it to the first air pressure value, and then obtain the waveform characteristics of a part of the envelope to determine the blood pressure measurement result.

[0044] In a possible implementation, the plurality of waveform features in the first pulse oscillation signal include a first waveform feature, a second waveform feature, and a third waveform feature, wherein the first waveform feature is any one of a main wave peak amplitude, a main wave trough amplitude, a dicrotic wave peak amplitude, a dicrotic wave trough amplitude, a difference between a main wave peak amplitude and a main wave trough amplitude, and a difference between a dicrotic wave peak amplitude and a dicrotic wave trough amplitude corresponding to a second air pressure value in the first pulse oscillation signal;

[0045] The plurality of waveform features in the second pulse oscillation wave signal include a fourth waveform feature, a fifth waveform feature, and a sixth waveform feature.

[0046] Among them, the first waveform feature is the difference between the main wave peak amplitude and the main wave trough amplitude corresponding to the second air pressure value in the first pulse oscillation signal, the second waveform feature is the difference between the main wave peak amplitude and the main wave trough amplitude corresponding to the third air pressure value in the first pulse oscillation signal, and the third waveform feature is the difference between the main wave peak amplitude and the main wave trough amplitude corresponding to the fourth air pressure value in the first pulse oscillation signal; the second air pressure value is less than the third air pressure value, and the third air pressure value is less than the fourth air pressure value;

[0047] Among them, the fourth waveform feature is the difference between the main wave peak amplitude and the main wave trough amplitude corresponding to the second air pressure value in the second pulse oscillation signal, the fifth waveform feature is the difference between the main wave peak amplitude and the main wave trough amplitude corresponding to the third air pressure value in the second pulse oscillation signal, and the sixth waveform feature is the difference between the main wave peak amplitude and the main wave trough amplitude corresponding to the fourth air pressure value in the second pulse oscillation signal.

[0048] In one possible implementation, the wearable device determines the blood pressure measurement result based on multiple waveform features in the first pulse oscillation signal and multiple waveform features in the second pulse oscillation wave signal, which may include: the wearable device determines the blood pressure measurement result based on the first waveform feature, the second waveform feature, the third waveform feature, the fourth waveform feature, the fifth waveform feature, and the sixth waveform feature.

[0049] In this way, the wearable device can determine the blood pressure measurement result based on the first waveform feature, the second waveform feature, the third waveform feature during calibration, and the fourth waveform feature, the fifth waveform feature, and the sixth waveform feature obtained when measuring blood pressure.

[0050] In one possible implementation, the wearable device determines a blood pressure measurement result based on a first waveform feature, a second waveform feature, a third waveform feature, a fourth waveform feature, a fifth waveform feature, and a sixth waveform feature, which may include: the wearable device determines a first slope between the first waveform feature, the second waveform feature, and the third waveform feature; the wearable device determines a second slope between the fourth waveform feature, the fifth waveform feature, and the sixth waveform feature; the wearable device determines the blood pressure measurement result based on the first slope and the second slope, and a first diastolic pressure and a first systolic pressure of the user determined from the first pulse oscillation wave signal.

[0051] In this way, the wearable device can perform waveform feature comparison and determine the blood pressure measurement result based on the first slope and the second slope.

[0052] In a second aspect, the present application provides a wearable device, comprising an airbag, an air pump, an air pressure sensor, a memory, and a processor; wherein the air pump, the air pressure sensor, and the memory are coupled to the processor, the airbag is coupled to the air pump, and the memory is used to store a computer program. When the processor executes and calls the computer program, the wearable device executes a blood pressure measurement method provided in any possible implementation of any of the above aspects.

[0053] In a third aspect, the present application provides a computer-readable storage medium comprising instructions. When the instructions are executed on a wearable device, the wearable device executes a blood pressure measurement method provided in any possible implementation of any of the above aspects.

[0054] In a fourth aspect, the present application provides a chip system, which includes one or more processors, and the processor is used to call computer instructions to execute a blood pressure measurement method provided in any possible implementation of any of the above aspects.

[0055] In a fifth aspect, the present application provides a computer program product comprising instructions. When the above-mentioned computer program product is run on a wearable device, the wearable device executes a blood pressure measurement method provided in any possible implementation of any of the above-mentioned aspects.

[0056] For the description of the beneficial effects of the second to fifth aspects, reference may be made to the description of the beneficial effects in the first aspect. BRIEF DESCRIPTION OF THE DRAWINGS

[0057] Figure 1 is a schematic diagram of a wearable device provided in an embodiment of the present application;

[0058] Figure 2A is a schematic diagram of the hardware structure of a wearable device provided in an embodiment of the present application;

[0059] Figure 2B is a schematic diagram of the structure of a wearable device provided in an embodiment of the present application;

[0060] Figure 3 is a set of waveform schematic diagrams provided in an embodiment of the present application;

[0061] Figure 4 This is a schematic diagram of a comparison between a pressure value and a peak value of a comfortable pressurization provided in an embodiment of the present application;

[0062] Figure 5 It is a schematic diagram of the internal and external forces acting on the airbag when measuring blood pressure provided by an embodiment of the present application;

[0063] Figure 6 is a schematic diagram of the DC component and AC component of the pressure in the airbag provided in an embodiment of the present application;

[0064] Figure 7 This is a flow chart of a method for measuring blood pressure provided in an embodiment of the present application;

[0065] Figure 8 It is a schematic diagram of a pulse oscillation wave waveform provided in an embodiment of the present application;

[0066] Fig. 9 is a schematic diagram of an air pressure signal waveform provided in an embodiment of the present application;

[0067] Fig.10 is a schematic diagram of a constant airbag provided in an embodiment of the present application;

[0068] Fig.11 It is a schematic diagram of a constant voltage waveform provided in an embodiment of the present application;

[0069] Fig.12 It is a schematic diagram of a stepped constant voltage waveform provided in an embodiment of the present application;

[0070] Fig.13 It is a schematic diagram of a constant voltage waveform with a fixed duty cycle provided in an embodiment of the present application;

[0071] Fig.14 is a set of waveform feature comparison schematic diagrams provided in an embodiment of the present application;

[0072] Fig.15 The present application embodiment provides a flow chart of evaluating whether a user has postural hypertension;

[0073] Fig.16 is a schematic diagram of a user wearing a wearable device 100 while lying down, provided in an embodiment of the present application;

[0074] Fig.17 is a schematic diagram of a user wearing a wearable device 100 while standing, provided in an embodiment of the present application;

[0075] Fig.18 is a schematic diagram of a user interface provided in an embodiment of the present application;

[0076] Fig.19 This is a flow chart of evaluating whether a user is a sleep apnea hypertension patient provided by an embodiment of the present application;

[0077] Fig. 20 is a schematic diagram of the displacement of the wearable device 100 when the user is sleeping provided by an embodiment of the present application;

[0078] Fig.21 is a schematic diagram of a user interface provided in an embodiment of the present application;

[0079] Fig. 22This is a schematic diagram of a process for evaluating whether a user has postprandial hypotension, provided in an embodiment of the present application;

[0080] Fig.23 is a schematic diagram of a wearable device 100 worn by a user while sitting or standing, provided in an embodiment of the present application;

[0081] Fig.24 is a schematic diagram of a change in the angle between the positive direction of the X-axis of the wearable device 100 and the first direction when the user is sitting, provided in an embodiment of the present application;

[0082] Fig.25 This is a schematic diagram of a user interface provided in an embodiment of the present application. DETAILED DESCRIPTION

[0083] The terms used in the following embodiments of the present application are only for the purpose of describing specific embodiments, and are not intended to be used as limitations to the present application. As used in the specification and appended claims of the present application, the singular expressions "one", "a kind of", "said", "above", "the" and "this" are intended to also include plural expressions, unless there is a clear indication to the contrary in the context. It should also be understood that the term "and / or" used in the present application refers to and includes any or all possible combinations of one or more listed items.

[0084] In the following, the terms "first" and "second" are used for descriptive purposes only and are not to be understood as suggesting or implying relative importance or implicitly indicating the number of the indicated technical features. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of the features, and in the description of the embodiments of the present application, unless otherwise specified, "plurality" means two or more.

[0085] The term "user interface (UI)" in the following embodiments of the present application refers to a medium interface for interaction and information exchange between an application or operating system and a user, which realizes the conversion between the internal form of information and the form acceptable to the user. The commonly used form of user interface is the graphical user interface (GUI), which refers to a user interface related to computer operation displayed in a graphical manner. It can be a visual interface element such as text, icons, buttons, menus, tabs, text boxes, dialog boxes, status bars, navigation bars, widgets, etc. displayed on the display screen of a wearable device.

[0086] The present application embodiment provides a wearable device 100, which can be used to measure blood pressure. Figure 1As shown in (a) of FIG. 1 , the wearable device 100 may be a watch. The wearable device 100 may include a watch body 101, a watch strap 102, and an airbag 103. The airbag 103 may be attached to the side of the watch strap 102 close to the body. The airbag 103 may be connected to the watch strap buckle, and the airbag 103 may be connected to the dial through the air hole cover. Correspondingly, the airbag 103 may be separated from the watch strap 102, and may also be separated from the watch body 101.

[0087] Specifically, when a user Figure 1 As shown in FIG. 1( b ), the user can wear the wearable device 100 on the wrist to measure blood pressure. The wearable device 100 can also display the measured blood pressure values, such as diastolic pressure value and systolic pressure value.

[0088] In the embodiment of the present application, the wearable device 100 may be a wearable device such as a bracelet, a watch, etc., or a non-wearable device such as a wall-type blood pressure monitor, etc. The embodiment of the present application does not impose any special restrictions on the specific type of the wearable device 100. The embodiment of the present application is only described by taking the wearable device 100 as a watch as an example.

[0089] Figure 2A Schematic diagram of the hardware structure of the wearable device 100 provided in an embodiment of the present application.

[0090] The embodiment is described in detail below by taking the wearable device 100 as an example. It should be understood that the wearable device 100 may have more or fewer components than those shown in the figure, may combine two or more components, or may have different component configurations. The various components shown in the figure may be implemented in hardware, software, or a combination of hardware and software including one or more signal processing and / or application specific integrated circuits.

[0091] The wearable device 100 may include: a processor 200, a wireless communication module 201, a mobile communication module 202, a sensor module 203, a button 204, a display screen 205, a motor 206, an internal memory 207, a SIM card interface 208, a USB interface 209, a power management module 210, a battery 211, and a charging management module 212. Among them, the sensor module 203 may include a touch sensor 203A, an air pressure sensor 203B, an air pump 203C, an airbag 103, a stop valve 203D, a magnetic sensor 203E, a photoplethysmography (PPG) sensor 203F and a motion sensor 203G, and an air path conducting component 203H.

[0092] It is understood that the structure illustrated in the embodiment of the present invention does not constitute a specific limitation on the wearable device. In other embodiments of the present application, the wearable device may include more or fewer components than shown in the figure, or combine certain components, or split 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.

[0093] The processor 200 may include one or more processing units, for example, the processor 200 may include an application processor (AP), a modem processor, a graphics processor (GPU), an image signal processor (ISP), a controller, a video codec, a digital signal processor (DSP), a baseband processor, and / or a neural-network processing unit (NPU), etc. Different processing units may be independent devices or integrated into one or more processors.

[0094] In some embodiments, the processor 200 may include one or more interfaces. The interface may include an inter-integrated circuit (I2C) interface, an inter-integrated circuit sound (I2S) interface, a pulse code modulation (PCM) interface, a universal asynchronous receiver / transmitter (UART) interface, a mobile industry processor interface (MIPI), a general-purpose input / output (GPIO) interface, a subscriber identity module (SIM) interface, and / or a universal serial bus (USB) interface, etc.

[0095] In some embodiments, the processor 200 may also be a microprocessor unit (MCU).

[0096] The I2C interface is a bidirectional synchronous serial bus, including a serial data line (SDA) and a serial clock line (SCL). In some embodiments, the processor 200 may include multiple groups of I2C buses. The processor 200 may be coupled to the touch sensor 203A, the power management module 210, etc. through different I2C bus interfaces. For example, the processor 200 may be coupled to the touch sensor 203A through the I2C interface, so that the processor 200 communicates with the touch sensor 203A through the I2C bus interface, thereby realizing the touch function of the wearable device.

[0097] The I2S interface can be used for audio communication. The PCM interface can also be used for audio communication to sample, quantize and encode analog signals. The UART interface is a universal serial data bus for asynchronous communication. The bus can be a bidirectional communication bus. It converts the data to be transmitted between serial communication and parallel communication. In some embodiments, the UART interface is generally used to connect the processor 200 with the wireless communication module 201. For example, the processor 200 communicates with the Bluetooth module in the wireless communication module 201 through the UART interface to implement the Bluetooth function.

[0098] The MIPI interface can be used to connect the processor 200 to peripheral devices such as the display screen 205. The MIPI interface includes a camera serial interface (CSI), a display serial interface (DSI), etc. The processor 200 and the display screen 205 communicate through the DSI interface to realize the display function of the wearable device.

[0099] The GPIO interface can be configured by software. The GPIO interface can be configured as a control signal or as a data signal. The USB interface 209 is an interface that complies with the USB standard specification, and can specifically be a Mini USB interface, a Micro USB interface, a USB Type C interface, etc. The USB interface 209 can be used to connect a charger to charge the wearable device, and can also be used to transmit data between the wearable device and peripheral devices.

[0100] It is understandable that the interface connection relationship between the modules illustrated in the embodiment of the present invention is only a schematic illustration and does not constitute a structural limitation on the wearable device. In other embodiments of the present application, the wearable device may also adopt different interface connection methods in the above embodiments, or a combination of multiple interface connection methods.

[0101] The charging management module 212 is used to receive charging input from a charger. The charger can be a wireless charger or a wired charger. In some wired charging embodiments, the charging management module 212 can receive charging input from the wired charger through the USB interface 209. In some wireless charging embodiments, the charging management module 212 can receive wireless charging input through the wireless charging coil of the wearable device. While the charging management module 212 is charging the battery 211, it can also power the wearable device through the power management module 210.

[0102] The power management module 210 is used to connect the battery 211, the charging management module 212 and the processor 200. The power management module 210 receives input from the battery 211 and / or the charging management module 212, and supplies power to the processor 200, the internal memory 207, the display screen 205, and the wireless communication module 201. The power management module 210 can also be used to monitor parameters such as battery capacity, battery cycle number, battery health status (leakage, impedance), etc. In some other embodiments, the power management module 210 can also be set in the processor 200. In other embodiments, the power management module 210 and the charging management module 212 can also be set in the same device.

[0103] The wireless communication function of the wearable device can be implemented through the mobile communication module 202, the wireless communication module 201, the modem processor and the baseband processor.

[0104] The mobile communication module 202 can provide solutions for wireless communications including 2G / 3G / 4G / 5G applied to wearable devices. The mobile communication module 202 may include at least one filter, a switch, a power amplifier, a low noise amplifier (LNA), etc. The mobile communication module 202 can receive electromagnetic waves from an antenna, and filter, amplify, and process the received electromagnetic waves, and transmit them to a modulation and demodulation processor for demodulation. In some embodiments, at least some of the functional modules of the mobile communication module 202 may be arranged in the processor 200. In some embodiments, at least some of the functional modules of the mobile communication module 202 may be arranged in the same device as at least some of the modules of the processor 200.

[0105] The wireless communication module 201 can provide wireless communication solutions including wireless local area networks (WLAN) (such as wireless fidelity (Wi-Fi) networks), bluetooth (BT), global navigation satellite system (GNSS), frequency modulation (FM), near field communication (NFC), infrared (IR), etc., which are applied to wearable devices. The wireless communication module 201 can be one or more devices integrating at least one communication processing module. The wireless communication module 201 receives electromagnetic waves via an antenna, modulates and filters the electromagnetic wave signals, and sends the processed signals to the processor 200. The wireless communication module 201 can also receive the signal to be sent from the processor 200, modulate the frequency, amplify it, and convert it into electromagnetic waves for radiation through the antenna.

[0106] The button 204 includes a power button, a volume button, etc. The button 204 can be a mechanical button or a touch button. The wearable device can receive the button input and generate a key signal input related to the user setting and function control of the wearable device.

[0107] The display screen 205 is used to display images, videos, etc. The display screen 205 includes a display panel. The display panel can 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), a quantum dot light emitting diode (QLED), etc. In some embodiments, the wearable device may include 1 or N display screens 205, where N is a positive integer greater than 1.

[0108] Motor 206 can generate vibration prompts. Motor 206 can be used for incoming call vibration prompts, and can also be used for touch vibration feedback. For example, touch operations acting on different applications (such as taking pictures, audio playback, etc.) can correspond to different vibration feedback effects. Motor 206 can also correspond to different vibration feedback effects for touch operations acting on different areas of display screen 205.

[0109] The internal memory 207 may include one or more random access memories (RAM) and one or more non-volatile memories (NVM).

[0110] Random access memory may include static random-access memory (SRAM), dynamic random access memory (DRAM), synchronous dynamic random access memory (SDRAM), double data rate synchronous dynamic random access memory (DDR SDRAM, for example, the fifth generation DDR SDRAM is generally referred to as DDR5 SDRAM), etc.

[0111] The non-volatile memory may include a disk storage device and a flash memory. The flash memory may include NOR FLASH, NAND FLASH, 3D NAND FLASH, etc. according to the operating principle, may include single-level cell (SLC), multi-level cell (MLC), triple-level cell (TLC), quad-level cell (QLC), etc. according to the potential level of the storage unit, and may include universal flash storage (UFS), embedded multi-media card (eMMC), etc. according to the storage specification. The random access memory can be directly read and written by the processor 200, and can be used to store executable programs (such as machine instructions) of the operating system or other running programs, and can also be used to store user and application data, etc. The non-volatile memory can also store executable programs and store user and application data, etc., and can be loaded into the random access memory in advance for direct reading and writing by the processor 200.

[0112] The SIM card interface 208 is used to connect a SIM card. The SIM card can be connected to and separated from the wearable device by inserting it into the SIM card interface 208 or pulling it out from the SIM card interface 208. The wearable device can support 1 or N SIM card interfaces, where N is a positive integer greater than 1. The SIM card interface 208 can support Nano SIM cards, Micro SIM cards, SIM cards, and the like. Multiple cards can be inserted into the same SIM card interface 208 at the same time. The types of the multiple cards can be the same or different. The SIM card interface 208 can also be compatible with different types of SIM cards. The SIM card interface 208 can also be compatible with external memory cards. The wearable device interacts with the network through the SIM card to implement functions such as calls and data communications. In some embodiments, the wearable device uses an eSIM, i.e., an embedded SIM card. The eSIM card can be embedded in the wearable device and cannot be separated from the wearable device.

[0113] In some embodiments, the wearable device 100 may not include the SIM card interface 208 .

[0114] The touch sensor 203A is also called a "touch control device". The touch sensor 203A can be set on the display screen 205. The touch sensor 203A and the display screen 205 form a touch screen, also called a "touch control screen". The touch sensor 203A is used to detect touch operations acting on or near it. The touch sensor can pass the detected touch operation to the application processor to determine the type of touch event. Visual output related to the touch operation can be provided through the display screen 205. In other embodiments, the touch sensor 203A can also be set on the surface of the wearable device, which is different from the position of the display screen 205.

[0115] The air pressure sensor 203B is used to measure air pressure. In some embodiments of the present application, the wearable device measures the air pressure in the airbag 103 through the air pressure sensor 203B. In some embodiments of the present application, a part of the air pressure sensor 203B is located inside the airbag 103 to sense the air pressure of the airbag 103.

[0116] The air pump 203C is used for inflation and deflation. In some embodiments of the present application, the wearable device inflates the airbag 103 through the air pump 203C, wherein the air pump 203C and the airbag 103 are connected through the air path conducting component 203H. The airbag 103 is used to squeeze the user's blood vessels. In some examples, the air pump can also be called a micro pump.

[0117] The stop valve 203D can be used to prevent the gas in the airbag 103 from leaking. When the airbag 103 is inflated until the pressure in the airbag 103 reaches the target pressure value, the wearable device 100 can control the stop valve 203D to be in a closed state, thereby preventing the gas in the airbag 103 from leaking, so that the pressure in the airbag 103 remains constant.

[0118] The magnetic sensor 203E includes a Hall sensor. In some embodiments of the present application, the wearable device can use the magnetic sensor 203E to determine whether the airbag 103 on the wearable device is disassembled. For example, a magnet can be configured on the airbag 103 or on a strap connected to the airbag 103, and the wearable device can determine the magnetic flux generated by the magnet on the airbag 103 or on the airbag 103 through the magnetic sensor 203E, and then determine whether the airbag 103 on the wearable device is disassembled.

[0119] The PPG sensor 203F user obtains the user's health data based on the PPG signal collected by the PPG sensor 203F. The user's health data includes but is not limited to: heart rate, blood oxygen, respiratory rate, blood oxygen saturation (SaO2), etc.

[0120] The motion sensor 203G includes but is not limited to an acceleration sensor and an angular velocity sensor. The motion sensor 203G can be used to collect motion data, and determine the user's motion state based on the motion data, and then determine whether the user is in a sleeping state based on the user's motion state.

[0121] It is worth noting that the air path conducting component 203H can be a separate component, or the air path conducting component 203H can also be an air path formed by the combination of other hardware modules, or the air path conducting component 203H can also be a part of other components, for example, it can be a part of the air pump 203C, or it can be a part of the airbag 103.

[0122] It is worth noting that the sensor module 203 may also include an infrared sensor and the like.

[0123] like Figure 2B As shown, when the wearable device 100 is a watch, the airbag 103 is attached to the side of the strap 102 close to the body. The air pump 203C is connected to the airbag 103 through the air path conducting component 203H. A stop valve 203D can be connected between the air pump 203C and the airbag 103. The stop valve 203D can be connected to the air pump 203C at one end through the air path conducting component 203H, and connected to the airbag 103 at the other end. Among them, the airbag 103 can be attached to only one side of the strap 102, and the side strap 102 can be located above the artery position of the user's wrist, such as above the radial artery position.

[0124] The air pump 203C can be located inside the body of the smart watch, the airbag 103 can be connected to the strap buckle, and the airbag 103 is connected to the dial through the vent cover. Correspondingly, the airbag 103 can be separated from the strap or the dial.

[0125] The following is a brief introduction to the meaning of blood pressure.

[0126] Blood pressure (BP) refers to the lateral pressure on the side wall of a blood vessel per unit area when blood flows inside the blood vessel. In other words, human blood pressure refers to the lateral pressure perpendicular to the blood vessel wall generated by the pulsating blood flow in the blood vessel. Among them, the peak value of pressure is systolic blood pressure (SBP), which can also be called high pressure; the valley value of pressure is diastolic blood pressure (DBP), which can also be called low pressure. Taking an adult as an example, the normal systolic blood pressure of the adult should be greater than 90mmHg (mmHg: blood pressure unit, millimeters of mercury) and less than 140mmHg, and the diastolic blood pressure should be greater than 60mmHg and less than 90mmHg. Systolic and diastolic blood pressure that are too high or too low will have adverse effects on health. Due to the difference in blood vessels, human blood pressure can also be classified into arterial blood pressure, venous blood pressure and capillary blood pressure. When measuring human blood pressure, arterial blood pressure is generally measured.

[0127] In some implementations, some blood pressure measuring devices, such as wearable devices such as watches and bracelets, can measure blood pressure by oscillometric method. In the oscillometric method of the upper air method (also known as the boost method), when the wearable device is worn on the user's wrist, the wearable device can gradually inflate the airbag, pressurize and block the blood vessels at the wrist of the user wearing the wearable device, and then the air pump controls the airbag to deflate immediately to stop blocking the blood vessels. During the inflation process, the air pressure sensor detects the pressure wave signal in the airbag. The wearable device can filter the pressure wave signal to obtain an oscillation wave signal, and fit the oscillation wave envelope. The pressure value corresponding to the maximum amplitude of the oscillation wave envelope can be the mean blood pressure (MBP). The right amplitude of the maximum amplitude point of the oscillation wave envelope is the pressure value corresponding to the first percentage of the maximum amplitude point, that is, the systolic pressure. The left amplitude of the maximum amplitude point of the oscillation wave envelope is the pressure value corresponding to the second percentage of the maximum amplitude point, that is, the diastolic pressure. Exemplarily, the first percentage may be 80%, and the second percentage may be 50%. The embodiment of the present application does not limit the specific values ​​of the first percentage and the second percentage.

[0128] In the oscillometric method (also known as the decompression method), when the wearable device 100 is worn on the user's wrist, the wearable device 100 can quickly inflate the airbag to increase the airbag pressure rapidly, thereby blocking the blood flow in the vascular area of ​​the wrist where the user wears the wearable device. Then, the airbag is controlled to deflate slowly. During the deflation process, the air pressure sensor detects the pressure wave signal in the airbag. The wearable device can filter the pressure wave signal to obtain an oscillation wave signal, and fit the oscillation wave envelope. The pressure value corresponding to the maximum amplitude of the oscillation wave envelope can be the mean blood pressure (MBP). The right amplitude of the maximum amplitude point of the oscillation wave envelope is the pressure value corresponding to the third percentage of the maximum amplitude point, that is, the diastolic pressure. The left amplitude of the maximum amplitude point of the oscillation wave envelope is the pressure value corresponding to the fourth percentage of the maximum amplitude point, that is, the systolic pressure. For example, the third percentage can be 50%, and the fourth percentage can be 80%. The specific values ​​of the third percentage and the fourth percentage are not limited in the embodiment of the present application.

[0129] The oscillometric method described below is explained using the upper gas method as an example.

[0130] For example, the waveform of the oscillation wave signal (also referred to as the pulse oscillation wave signal) obtained by the wearable device can be as follows: Figure 3 The pulse oscillation waveform is shown in Figure (a) of FIG. The oscillation wave envelope can be as follows: Figure 3 As shown in the pulse oscillation envelope diagram shown in Figure (b). Figure 3 As shown in Figure (b), the corresponding relationship between the pulse oscillation envelope and the air bag pressure can determine the systolic and diastolic pressures, as well as the average blood pressure.

[0131] When the wearable device 100 is measuring blood pressure, the wearable device 100 will inflate and pressurize the inflatable cuff or airbag to block the user's arterial blood flow. When the wearable device 100 blocks the user's arterial blood flow, the user can feel the pressure exerted by the inflatable cuff or airbag on the user's wrist. Especially when measuring blood pressure at night, the user is easily affected by the pressure of the inflatable cuff or airbag inflated and pressurized to block the user's arterial blood flow and affect sleep. In this way, the user experience is poor.

[0132] In some examples, the strap and airbag of the wearable device 100 are relatively narrow, and when the wearable device 100 blocks arterial blood flow, the mean pressure position shifts to the right. Figure 3As shown in Figure (c), originally, it only needs to be pressurized to 105mmHg to produce the average pressure (corresponding to MBP1 shown in Figure (c)). However, since the airbag is relatively narrow, a higher pressure is required to effectively block the user's arterial blood flow. Therefore, the average pressure position will shift to the right, that is, it only needs to be pressurized to 115mmHg to produce the average pressure (corresponding to MBP2 shown in Figure (c)). In this way, when measuring blood pressure, the user feels more pressure and the user experience is poor.

[0133] In order to reduce the sense of oppression caused to the user by the airbag inflating and blocking the arterial blood flow during the blood pressure measurement of the wearable device 100, an embodiment of the present application provides a blood pressure measurement method, wherein the wearable device 100 has an airbag and an air pressure sensor, wherein a stop valve is provided between the airbag and the air pump, and the method may include: first, the wearable device 100 performs calibration to obtain a calibration result. When the wearable device 100 performs calibration, the air pump may be controlled to inflate the airbag first, and then the airbag may be controlled to deflate. The wearable device 100 may detect the pressure value in the airbag through the air pressure sensor to obtain a first pressure wave signal. The wearable device 100 may obtain a calibration result based on the first pressure wave signal. Then, when the wearable device 100 measures blood pressure, the air pump of the wearable device 100 inflates the airbag so that the amount of gas in the airbag is constant or the pressure is constant; the wearable device 100 may detect the pressure value during the airbag inflation process through the air pressure sensor to obtain a second pressure wave signal, and then the wearable device 100 may determine the user's systolic and diastolic pressures based on the second pressure wave signal and the calibration result. The peak value in the first pressure wave signal is the first pressure value, the peak value in the second pressure wave signal is the second pressure value, and the second pressure value is less than the first pressure value. In this way, when the user uses the watch to measure blood pressure, the constant volume or constant pressure mode can be used to obtain blood pressure evaluation indicators, with shorter pressurization time, lower pressure intensity, and better user experience.

[0134] For example, Figure 4 As shown, the second pressure value can be Figure 4 The first pressure value can be Figure 4 The peak value of the medium pressure. Figure 4 As shown in FIG. 1 , the pressure value of the comfortable pressurization is lower than the peak value of the airbag pressure when measuring blood pressure during the calibration process. In this way, when the comfortable pressurization is applied, the pressure intensity felt by the user will be reduced.

[0135] Among them, the calibration result can be the ratio between the user's blood pressure value and the airbag pressure, and / or the ratio between the pressure of the strap on the airbag and the blood pressure value. For details, please refer to the description in the following step S702.

[0136] The wearable device 100 can determine the systolic and diastolic pressures of the user based on the second pressure wave signal and the calibration result, which may include: the wearable device 100 can determine the blood pressure result of the user when measuring blood pressure based on the pressure value of the airbag in the second pressure wave signal and the ratio between the user's blood pressure value and the airbag pressure in the calibration result. Here, please refer to the description in the following steps S706-S707 for details, which will not be repeated here.

[0137] like Figure 5 As shown, when measuring blood pressure, the air pressure in the airbag is Ps, the pressure of the strap on the airbag is Pout, and the blood pressure is Pa. In the embodiment of the present application, the pressure Ps component of the airbag measured by the air pressure sensor can be decomposed into a DC component PsDC and an AC component PsAC. For example, Figure 6 The pressure sensor shown measures a pressure wave signal, wherein the direct current component (also referred to as the DC component) is the average value of the pressure wave signal, and the alternating current component (AC component) represents the difference between a peak and a trough in a waveform of the pressure wave signal. It can be understood that Figure 6 The amplitude shown in the figure may be a processed amplitude, for example, minus an offset. The blood pressure Pa may also be decomposed into a DC component PaDC and an AC component PaAC. The DC component PaDC may represent the mean pressure, and the AC component PaAC may represent the pulse pressure difference.

[0138] Among them, the air pressure in the airbag is Ps, the pressure of the strap on the airbag is Pout, and the blood pressure is Pa, which can be expressed as the following formula 1:

[0139] Pout+(PaDC+PaAC)=(PsDC+PsAC)(Formula 1)

[0140] In the above formula 1, "+" in (PaDC+PaAC) and (PsDC+PsAC) indicates superposition.

[0141] In the embodiment of the present application, the wearable device 100 can determine the DC component PaDC and the AC component PaAC of the blood pressure Pa based on the above formula 1 when the pressure of the strap on the airbag is Pout and the air pressure in the airbag is Ps, which are known.

[0142] A blood pressure measurement method provided in an embodiment of the present application is introduced below in combination with the hardware structure of the wearable device 100 mentioned above.

[0143] Figure 7 A blood pressure measurement method provided by an embodiment of the present application is exemplarily shown. Figure 7 As shown, the blood pressure measurement method provided in the embodiment of the present application may include the following steps:

[0144] S701: The wearable device 100 detects that a user is wearing the wearable device 100.

[0145] The wearable device 100 can detect whether the user is wearing the wearable device 100 through one or more of a PPG sensor, a proximity light sensor, a capacitive sensor, an acceleration sensor, and a temperature sensor.

[0146] Exemplarily, when the user wears the wearable device 100, the PPG sensor in the wearable device 100 can detect a PPG signal. When the user wears the wearable device 100, the capacitance value detected by the capacitive sensor in the wearable device 100 is greater than the capacitance threshold 1. When the user wears the wearable device 100, the acceleration value detected by the acceleration sensor of the wearable device 100 is greater than the acceleration threshold 1 within the preset time length 1. When the user wears the wearable device 100, the intensity of the reflected light detected by the proximity light sensor is greater than the intensity threshold 1. When the user wears the wearable device 100, the temperature detected by the temperature sensor is greater than the temperature threshold 1 and less than the temperature threshold 2. Exemplarily, the temperature threshold 1 can be 35° and the temperature threshold 2 can be 42°.

[0147] Exemplarily, when the PPG sensor of the wearable device 100 does not detect a PPG signal, the wearable device 100 can determine that the wearing state is not worn. When the capacitance value detected by the capacitance sensor in the wearable device 100 is less than the capacitance threshold 1, the wearable device 100 can determine that the wearing state is not worn. Alternatively, when the intensity of the reflected light detected by the proximity light sensor of the wearable device 100 is less than the intensity threshold 1, the wearable device 100 can determine that the wearing state is not worn. Alternatively, when the acceleration value detected by the acceleration sensor of the wearable device 100 is less than the acceleration threshold 1, the wearable device 100 can determine that the wearing state is not worn. Alternatively, when the temperature detected by the temperature sensor of the wearable device 100 is less than the temperature threshold 1 or greater than the temperature threshold 2, the wearable device 100 can determine that the wearing state is not worn.

[0148] The embodiment of the present application does not limit the specific values ​​of the capacitance threshold 1, the preset duration 1, the acceleration threshold 1, the intensity threshold 1, the temperature threshold 1, and the temperature threshold 2. In this way, when the user wears the wearable device 100, the wearable device 100 can detect that the wearing state of the wearable device 100 changes from not worn to worn through the PPG sensor, and / or the capacitance sensor, and / or the acceleration sensor, and / or the temperature sensor, and / or the proximity light sensor.

[0149] S702: Calibrate the wearable device 100.

[0150] In some embodiments, calibration may be performed oscillometrically.

[0151] When the wearing state of the wearable device 100 changes from not worn to worn, the wearable device 100 can be calibrated by an oscillometric method and obtain one or more calibration results.

[0152] For example, in one possible implementation, the wearable device 100 may be calibrated by the oscillometric method, including: the wearable device 100 may start the air pump to inflate the airbag, gradually inflate it to block the blood flow of the user's blood vessels, and then control the airbag to immediately deflate by the air pump to stop blocking the blood vessels. Then, during the inflation process, the air pressure sensor of the wearable device 100 may detect the pressure Ps (calibration) of the airbag. And according to the upper air method, the wearable device can measure the user's systolic and diastolic blood pressure.

[0153] Furthermore, in a possible implementation, when the wearable device 100 is calibrated by the oscillometric method, the proportionality coefficient A between (PsDC+PsAC) and (PaDC+PaAC) can also be determined when Pout in Formula 1 remains unchanged.

[0154] When Pout in Formula 1 remains unchanged, the proportional relationship between (PsDC+PsAC) and (PaDC+PaAC) can be expressed as follows:

[0155] (PsDC+PsAC)=A(PaDC+PaAC)(Formula 2)

[0156] In Formula 2, the proportionality coefficient A is an unknown quantity, and the wearable device 100 needs to determine the proportionality coefficient A according to the systolic pressure, diastolic pressure, PsDC and PsAC measured by the oscillometric method. The value of the proportionality coefficient A calculated by the wearable device 100 may be different for different users.

[0157] The relationship between systolic blood pressure SBP, diastolic blood pressure DBP and PaDC can be shown in the following formula 3 and formula 4:

[0158] SBP-DBP=PaAC (Formula 3)

[0159] PaDC=DBP+q1 PaAC (Formula 4)

[0160] The coefficient q1 is known, and q1 is a positive number greater than 0 and less than or equal to 1. For example, q1 may be 1 / 3, and the specific value of q1 is not limited in the embodiment of the present application.

[0161] When the wearable device 100 is calibrated by the oscillometric method, the wearable device 100 can measure SBP and DBP, as well as PsDC and PsAC. The wearable device 100 can determine PaAC based on SBP, DBP and Formula 3. Then, the wearable device 100 can determine PaDC based on the determined PaAC, DBP and Formula 4. Finally, the wearable device 100 can determine the proportionality coefficient A in Formula 2 based on PsDC and PsAC, as well as PaDC and PaAC.

[0162] Optionally, in a possible implementation, when the wearable device 100 is calibrated by the oscillometric method, the proportionality coefficient C between Pout and PaDC and the proportionality coefficient D between PsAC and PaAC can also be determined when PsDC in Formula 1 remains unchanged.

[0163] When PsDC in Formula 1 is unchanged, the proportional relationship between Pout and PaDC, and the proportional relationship between PsAC and PaAC can be shown in the following Formulas 5 and 6 respectively:

[0164] Pout=CPaDC (Formula 5)

[0165] PsAC=DPaAC (Formula 6)

[0166] Among them, the proportional coefficient C in formula 5 is a personalized coefficient. C is a number greater than 0 and less than 1. That is, the proportional coefficient C determined by the wearable device 100 may be different for different users. The proportional coefficient D in formula 6 is also a personalized coefficient. D is a number greater than 1. That is, the proportional coefficient D determined by the wearable device 100 may be different for different users. The specific values ​​of C and D are not limited in the embodiments of the present application.

[0167] When the wearable device 100 is calibrated by the oscillometric method, the wearable device 100 can measure SBP and DBP, as well as PsAC. The wearable device 100 can determine PaAC based on SBP, DBP and Formula 3. Then, the wearable device 100 can determine PaDC based on the determined PaAC, DBP and Formula 4. The wearable device 100 can determine the inflation amount of the airbag based on the power of the air pump, and then determine Pout based on the inflation amount of the airbag. Finally, the wearable device 100 can determine the proportionality coefficient C based on Pout and PaDC, and Formula 5; the proportionality coefficient D can be determined based on PsAC and PaAC, and Formula 6.

[0168] Optionally, in another possible implementation, the wearable device 100 can measure the pressure signal wave in the airbag through a pressure sensor during the oscillometric calibration stage. Then, the wearable device 100 can filter out the pulse oscillation wave signal from the pressure wave signal and determine the characteristic points in the waveform of the pulse oscillation signal. The characteristic points in the waveform of the pulse oscillation signal may include any one of the main wave peak, the main wave trough, and the dicrotic wave peak and the dicrotic wave trough. The wearable device 100 can calculate the slopes of multiple characteristic points.

[0169] It is understandable that the meaning of "multiple" in the multiple feature points is two or more. The following takes "multiple" as three as an example. The specific number of the multiple feature points is not limited in the embodiment of the present application.

[0170] In the embodiment of the present application, the main wave in the waveform of the pulse oscillation signal can be called the main wave amplitude. Generally, the apex is the highest peak of the pulse graph, reflecting the maximum value of the pressure and volume in the artery. The apex of the main wave can be called the main wave peak, and the valley point of the main wave can be called the main wave trough. The dicrotic wave in the waveform of the pulse oscillation signal is a prominent rising wave in the descending branch of the waveform, which is the aortic closure and aortic elastic recoil wave. The apex of the dicrotic wave can be called the dicrotic wave peak, and the valley point of the dicrotic wave can be called the dicrotic wave trough. Exemplarily, the main wave peak, the main wave trough, the dicrotic wave peak, and the dicrotic wave trough can be as follows Figure 8 shown.

[0171] For example, the slopes of the multiple feature points may be the slopes of the corresponding main wave peaks under multiple airbag pressures, for example, Figure 8 As shown, the slopes of the corresponding main wave peaks under multiple airbag pressures can be the ratio of the amplitude 1 of the main wave peak 1 under the airbag pressure of 90 mmHg, the amplitude 2 of the main wave peak 2 under the airbag pressure of 92 mmHg, and the amplitude 3 of the main wave peak 3 under 94 mmHg. Exemplarily, the amplitude 1 can be 0.5, the amplitude 2 can be 0.55, and the amplitude 3 can be 0.6. The ratio of the amplitude 1 to the amplitude 2 and the amplitude 3 can be (0.5:0.55:0.6), where ":" means "ratio", and 0.5:0.55 means 0.5 to 0.55.

[0172] Alternatively, the slopes of the plurality of characteristic points may be the slopes of the corresponding main wave troughs at the plurality of airbag pressures. For example, the slopes of the corresponding main wave troughs at the plurality of airbag pressures may be the ratio of the amplitude 4 of the main wave trough 1 at airbag pressure 1 to the amplitude 5 of the main wave trough 2 at airbag pressure 2, and the amplitude 6 of the main wave trough 3 at airbag pressure 3.

[0173] Alternatively, the slopes of the multiple characteristic points may be the slopes of the dicrotic wave peaks corresponding to the multiple airbag pressures. For example, the slopes of the dicrotic wave peaks corresponding to the multiple airbag pressures may be the ratio of the amplitude 7 of the dicrotic wave peak at airbag pressure 1 to the amplitude 8 of the dicrotic wave peak at airbag pressure 2 and the amplitude 9 of the dicrotic wave peak at airbag pressure 3.

[0174] Alternatively, the slopes of the multiple characteristic points may be the slopes of the dicrotic wave troughs corresponding to the multiple airbag pressures. For example, the slopes of the dicrotic wave troughs corresponding to the multiple airbag pressures may be the ratio of the amplitude 10 of the dicrotic wave trough at airbag pressure 1 to the amplitude 11 of the dicrotic wave trough at airbag pressure 2 and the amplitude 12 of the dicrotic wave trough at airbag pressure 3.

[0175] Alternatively, the slopes of the multiple characteristic points may also be the ratio of the difference between the peak amplitude and the trough amplitude of the main wave corresponding to multiple airbag pressures, which may also be understood as the ratio of multiple PsACs.

[0176] Alternatively, the slopes of the multiple characteristic points may also be the ratio of the difference between the peak amplitude and the trough amplitude of the dicrotic wave corresponding to the multiple airbag pressures.

[0177] It is understandable that when the wearable device 100 is calibrated by the oscillometric method, the calibration result obtained may include a proportional coefficient A; or, the calibration result obtained may include a proportional coefficient C and a proportional coefficient D; or, the calibration result may include the slopes of multiple feature points. Optionally, the wearable device 100 may determine the proportional coefficient A, the proportional coefficient C and the proportional coefficient D, and the slopes of multiple feature points when calibrated by the oscillometric method. That is, the calibration result may include a proportional coefficient A, a proportional coefficient C and a proportional coefficient D, and the slopes of multiple feature points, etc. The embodiments of the present application are not limited to this.

[0178] Alternatively, during calibration, the wearable device 100 may perform curve fitting on a plurality of specific points and determine coefficients of the fitted curve.

[0179] The first proportional value may be a proportional coefficient C, the second proportional coefficient may be a proportional coefficient C, and the third proportional value may be a proportional coefficient D. The first coefficient may be a coefficient q1.

[0180] S703: The wearable device 100 determines whether to start measurement; if so, execute step S704; if not, execute step S708.

[0181] The wearable device 100 determines whether to start measuring the user's blood pressure at the first moment. If so, the wearable device 100 can execute step S704, that is, it can first detect whether the wearing state of the wearable device 100 has changed. If not, the wearable device 100 can execute step S708.

[0182] In a possible implementation, the wearable device 100 detects that a user clicks a control to start measuring blood pressure. In response to the user operation, the wearable device 100 may determine to start measuring blood pressure.

[0183] Optionally, in another possible implementation, the wearable device 100 may monitor the blood pressure of the user at a fixed time. If the wearable device 100 determines that the current time is a time point for the user to measure the blood pressure, it determines to start measuring the blood pressure.

[0184] It is understandable that the time point at which the user measures blood pressure can be set by the user in the wearable device 100. For example, if the user sets the wearable device 100 to measure blood pressure at 10 o'clock every night, then the wearable device 100 can start measuring blood pressure at 10 o'clock in the evening. Optionally, the time point at which the user measures blood pressure can also be set by the wearable device 100 system. The wearable device 100 system can set the time point for the user to measure blood pressure every day by default. For example, the wearable device 100 system defaults to measuring blood pressure at 9 o'clock every morning. At 9 o'clock in the morning, if the wearable device 100 detects that the wearing state is worn, the wearable device 100 can start measuring blood pressure at 9 o'clock. It is understandable that for wearable devices of the same manufacturer, the time point for measuring blood pressure set by the system by default can be the same. Optionally, the time point for measuring blood pressure set by the wearable device 100 system can be learned by the wearable device 100 based on the time of the user's historical blood pressure measurement. In this way, for different users, the time point for measuring blood pressure set by the wearable device 100 system can be different.

[0185] S704: The wearable device 100 detects a wearing status.

[0186] The wearable device 100 can detect the wearing state of the wearable device 100 through one or more of a PPG sensor, a proximity light sensor, a capacitive sensor, an acceleration sensor, and a temperature sensor.

[0187] For details of step S704, please refer to the description of step S701, which will not be repeated here.

[0188] S705. The wearable device 100 detects whether the wearing state has changed; if so, execute step S702; if not, execute step S706.

[0189] After the wearable device 100 starts to measure blood pressure, the wearable device 100 can once again detect whether the wearing state has changed. If there is a change, execute step S702, that is, calibrate again by the oscillometric method. If the wearing state has not changed, the wearable device 100 can execute step S706. Since the proportional coefficient A, proportional coefficient C and proportional coefficient D corresponding to different users, and the slopes of multiple feature points may be different, after detecting that the wearing state has changed, calibrating again by the oscillometric method can avoid the wearable device 100 changing the wearing user, resulting in changes in the proportional coefficient A, proportional coefficient C and proportional coefficient D, and the slopes of multiple feature points.

[0190] After the wearable device 100 starts measuring blood pressure, it is necessary to determine that the wearing state of the wearable device 100 is worn. In this way, it is avoided that the blood pressure is measured when the user is not wearing the wearable device 100, which leads to inaccurate measurement results and wastes the power consumption of the wearable device 100.

[0191] S706: The wearable device 100 measures blood pressure in the comfortable pressurization mode.

[0192] S707: The wearable device 100 obtains a blood pressure measurement result.

[0193] After starting to measure blood pressure, the wearable device 100 inflates the airbag in the comfortable pressurization mode. In the comfortable pressurization mode, the pressure value in the airbag is less than or equal to the average pressure in the oscillometric method. In this way, when the wearable device 100 measures the blood pressure of the user at night, the user's sense of pressure can be reduced, thereby reducing the impact on the user's sleep at night.

[0194] In the embodiment of the present application, there are multiple comfortable pressurization modes. In different comfortable pressurization modes, the calculation method of the blood pressure measurement result obtained by the wearable device 100 may be different.

[0195] The following describes in detail the various comfortable pressurization modes provided by the embodiments of the present application:

[0196] Comfort pressurization mode 1: Keep the air volume in the airbag constant.

[0197] In one possible implementation, a stop valve can be added between the air pump and the airbag of the wearable device 100. When the wearable device 100 inflates the airbag through the air pump so that the air volume of the airbag reaches a preset air volume value, the stop valve can be closed. In this way, the air volume in the airbag can be kept constant. In this way, when the wearing state of the wearable device 100 remains unchanged, Pout in the above formula 1 can remain unchanged. In this way, the airbag pressure Ps detected by the air pressure sensor is positively correlated with Pa. Specifically, the relationship between Ps and Pa can be shown as in the above formula 2. In this way, the size of the airbag pressure Ps will also oscillate with the beating of the pulse. Exemplarily, the waveform of the airbag pressure Ps can be as shown in Fig. 9 shown.

[0198] It is understandable that when the wearable device controls the air pump to inflate the air volume in the airbag to a preset air volume value, the pressure in the airbag is less than or equal to the average pressure.

[0199] In this way, when the wearable device controls the air pump to inflate the air volume in the airbag to the preset air volume value, the air pressure sensor of the wearable device 100 can detect the pressure Ps of the airbag, so that PsDC and PsAC can be determined. The wearable device 100 can determine PaDC+PaAC based on Formula 2, PsDC and PsAC, and the calibration result obtained during the oscillometric calibration, that is, the proportional coefficient A. Then, when PaDC+PaAC is known, the wearable device can determine SBP and DBP based on the relationship between SBP and DBP in the above Formulas 3 and 4, and PaDC and PaAC. In this way, the wearable device 100 can obtain the final measurement results SBP and DBP.

[0200] Comfort pressurization mode 2: Keeps the pressure in the airbag constant.

[0201] Optionally, in a possible implementation, as Fig.10 As shown, when the wearable device 100 starts to measure blood pressure and controls the air pump to inflate the airbag, the air pressure sensor can monitor the air pressure in the airbag in real time. When the air pressure detected by the air pressure sensor reaches a preset pressure value, the air pump stops inflating the airbag. The preset pressure value can be equal to or less than the average pressure. In addition, the processor in the wearable device 100 can perform power integration on the air pressure in the airbag monitored in real time by the air pressure sensor and the duty cycle of the air pump when inflating the airbag, so that the DC component of the air pressure in the airbag remains constant. That is, the wearable device 100 can make PsDC constant. For example, as Fig.11As shown, the wearable device 100 can make the size of PsDC constant at 90mmHg. When PsDC remains unchanged, Pout is negatively correlated with Pa, and the AC component PaAC of the air pressure in the airbag detected by the air pressure sensor is positively correlated with the blood pressure Pa. For details, please refer to the above formulas 5 and 6. When measuring blood pressure, the wearable device 100 can measure the air pressure Ps in the airbag, and then determine the AC component PsAC of the air pressure Ps. The wearable device 100 can also determine Pout based on the inflation volume in the airbag. When PsAC and Pout are known, then, since the values ​​of C and D are determined during calibration, the wearable device 100 can determine PaDC and PaAC based on the above formulas 5 and 6. Finally, when PaDC and PaAC are known, the wearable device can determine SBP and DBP based on the relationship between SBP, DBP, and PaDC and PaAC in the above formulas 3 and 4. In this way, the wearable device 100 can obtain the final measurement results SBP and DBP.

[0202] Furthermore, in a possible implementation, the processor may perform power integration on the air pressure in the airbag monitored in real time by the air pressure sensor and the duty cycle of the air pump when inflating the airbag through a proportional integral differential (PID) control algorithm.

[0203] In an embodiment of the present application, there is a mapping relationship between the power of the air pump in the wearable device 100 and the amount of air inflated by the air pump. In some examples, the mapping relationship between the power of the air pump in the wearable device 100 and the amount of air inflated by the air bag is set at the factory. When the wearable device 100 measures blood pressure and inflates the air bag, the wearable device 100 can determine the power of the air pump, and then obtain the mapping relationship between the power of the air pump and the amount of air inflated by the air bag. Then, the wearable device 100 can determine the amount of air inflated based on the power of the air pump and the mapping relationship between the power of the air pump and the amount of air inflated by the air bag. Finally, the wearable device 100 can integrate the amount of air inflated based on the PID algorithm to obtain Pout.

[0204] Comfort pressurization mode 3: stepped constant pressure.

[0205] Optionally, in a possible implementation, the wearable device 100 may set multiple constant pressure targets, for example, target air pressure value 1, target air pressure value 2, target air pressure value x, and the like. When the wearable device 100 starts to measure blood pressure and controls the air pump to inflate the airbag, the air pressure sensor may monitor the air pressure in the airbag in real time. The processor may perform power integration on the air pressure in the airbag monitored in real time by the air pressure sensor and the duty cycle when the air pump inflates the airbag, so that the DC component of the air pressure in the airbag is kept constant in a step-by-step manner. Specifically, the wearable device 100 first controls the air pump to inflate the airbag so that the DC component PsDC of the air pressure in the airbag reaches the target air pressure value 1. Then, the processor may perform power integration on the air pressure in the airbag monitored in real time by the air pressure sensor and the duty cycle when the air pump inflates the airbag, so that the DC component PsDC of the air pressure in the airbag is kept constant in time period 1. Next, the wearable device 100 can continue to control the air pump to inflate the airbag so that the DC component PsDC of the air pressure in the airbag reaches the target air pressure value 2. Then, the processor can perform power integration on the air pressure in the airbag monitored in real time by the air pressure sensor and the duty cycle when the air pump inflates the airbag, so that the DC component PsDC of the air pressure in the airbag remains constant in time period 2. In sequence, until the DC component PsDC of the air pressure in the airbag reaches the target air pressure value x. Finally, the processor can perform power integration on the air pressure in the airbag monitored in real time by the air pressure sensor and the duty cycle when the air pump inflates the airbag, so that the DC component PsDC of the air pressure in the airbag remains constant in time period x.

[0206] Further, in a possible implementation, the wearable device 100 may determine Pout1 in time period 1 based on the airbag inflation amount in time period 1. The wearable device 100 may also determine the air pressure AC component PsAC1 in the time period according to the airbag pressure in time period 1. Then, the wearable device 100 may determine PaDC1 and PaAC1 in time period 1 based on the above formula 5 and formula 6. Then, the wearable device 100 may determine SBP1 and DBP1 in time period 1 based on the values ​​of PaDC1 and PaAC1, as well as the above formula 3 and formula 4. Similarly, the wearable device 100 may determine Pout2 in time period 2 based on the airbag inflation amount in time period 2. The wearable device 100 may also determine the air pressure AC component PsAC2 in the time period according to the airbag pressure in time period 2. Then, the wearable device 100 may determine PaDC2 and PaAC2 in time period 2 based on the above formula 5 and formula 6. Then, the wearable device 100 can determine SBP2 and DBP2 in time period 2 based on the values ​​of PaDC2 and PaAC2, and the above formulas 3 and 4. Similarly, the wearable device 100 can determine Poutx in time period x based on the airbag inflation amount in time period x. The wearable device 100 can also determine the air pressure AC component PsACx in the time period according to the airbag air pressure in time period x. Then, the wearable device 100 can determine PaDCx and PaACx in time period 2 based on the above formulas 5 and 6. Then, the wearable device 100 can determine SBPx and DBPx in time period 2 based on the values ​​of PaDCx and PaACx, and the above formulas 3 and 4. Finally, the wearable device 100 can determine the blood pressure measurement result SBP based on SBP1, SBP2, ..., SBPx; and determine the blood pressure measurement result DBP based on DBP1, DBP2, ..., DBPx.

[0207] Furthermore, in a possible implementation, the blood pressure measurement result SBP is an average value of SBP1, SBP2, ..., SBPx, and the blood pressure measurement result DBP is an average value of DBP1, DBP2, ..., DBPx.

[0208] In the embodiment of the present application, x is an integer greater than or equal to 2, and the embodiment of the present application does not limit the specific value of x.

[0209] It is understandable that before the wearable device 100 uses a stepped constant pressure to pressurize and measure blood pressure, the wearable device 100 can determine the proportionality coefficient C and proportionality coefficient D at different constant pressure values ​​during the oscillometric calibration stage. For example, when the target air pressure value is 1, the corresponding proportionality coefficient C1 and proportionality coefficient D1. Then, when measuring blood pressure, the wearable device 100 can determine PaDC1 and PaAC1 in time period 1 based on the values ​​of C1 and D1, as well as the above formulas 5 and 6.

[0210] It can be understood that the target air pressure value 1 is less than or equal to the target air pressure value 2, and the target air pressure value 2 is less than or equal to the target air pressure value x.

[0211] For example, Fig.12 As shown, the wearable device 100 starts to control the air pump to inflate the airbag at 0 seconds. During the time period from time 1 (time 1 is about the 4th second, where s is the time unit, indicating seconds) to time 2 (time 2 is about the 11th second), the air pressure in the airbag remains constant, and its air pressure value is W1. Fig.12 As shown, W1 can be approximately equal to 84 mmHg. Starting from time 2, the wearable device 100 controls the air pump to inflate the airbag again, so that the air pressure value in the airbag reaches W2 at time 3 (time 3 is approximately the 12th second), and then the air pressure value of the airbag is W2 from time 3 to time 4 (time 4 is approximately the 16th second). Fig.12 As shown, W2 can be approximately equal to 93 mmHg. Starting from time 4, the wearable device 100 controls the air pump to inflate the airbag again, so that the air pressure value in the airbag reaches W3 at time 5 (time 5 is approximately the 17th second), and then the air pressure value of the airbag is W3 from time 5 to time 6 (time 6 is approximately the 21st second). Fig.12 As shown, W3 can be approximately equal to 103 mmHg. Starting from time 6, the wearable device 100 controls the air pump to inflate the airbag again, so that the air pressure value in the airbag reaches W4 at time 7 (time 7 is approximately the 22nd second), and then the air pressure value of the airbag is W4 from time 7 to time 8 (time 8 is approximately the 26th second). Fig.12 As shown, W4 can be approximately equal to 113 mmHg. Starting from time 8, the wearable device 100 controls the air pump to inflate the airbag again, so that the air pressure value in the airbag reaches W5 at time 9 (time 9 is approximately the 27th second), and then the air pressure value of the airbag is W5 from time 9 to time 10 (time 10 is approximately the 31st second). Fig.12As shown, W5 can be approximately equal to 123 mmHg. Starting from time 10, the wearable device 100 controls the air pump to inflate the airbag again, so that the air pressure value in the airbag reaches W6 at time 11 (time 11 is approximately the 32nd second), and then the air pressure value of the airbag is W6 from time 11 to time 12 (time 12 is approximately the 36th second). Fig.12 As shown, W6 can be approximately equal to 135 mmHg. Starting from time 12, the wearable device 100 controls the air pump to inflate the airbag again, so that the air pressure value in the airbag reaches W7 at time 13 (time 13 is approximately the 37th second), and then the air pressure value of the airbag is W7 from time 13 to time 14 (time 14 is approximately the 41st second). Fig.12 As shown, W7 can be approximately equal to 145 mmHg. Starting from time 14, the wearable device 100 controls the air pump to inflate the airbag again, so that the air pressure value in the airbag reaches W8 at time 15 (time 3 is approximately 42 seconds), and then the air pressure value of the airbag is W8 during the period from time 15 to time 16 (time 16 is approximately 46 seconds). Fig.12 As shown, W8 can be approximately equal to 156 mmHg. Starting from time 16, the wearable device 100 controls the air pump to inflate the airbag again, so that the air pressure value in the airbag reaches W9 at time 17 (time 17 is approximately the 46th second), and then the air pressure value of the airbag is W9 from time 17 to time 18 (time 18 is approximately the 50th second). Fig.12 As shown, W9 can be approximately equal to 167 mmHg.

[0212] Comfort pressurization mode 4: constant duty cycle.

[0213] In some examples, the wearable device 100 can use a PID control algorithm to keep the air pressure in the airbag constant when measuring blood pressure. However, the PID control algorithm affects the shape of the pulse wave waveform. If the PID control algorithm is used to keep the air pressure in the airbag constant throughout the entire process of measuring blood pressure, the blood pressure information contained in the pulse waveform may be contaminated. As a result, the final blood pressure measurement result of the wearable device 100 is affected.

[0214] Optionally, in a possible implementation, the wearable device 100 can use a PID control algorithm to control the air pump to inflate the airbag to a preset state (for example, to a preset air pressure value) and then the wearable device 100 can control the air pump to inflate the airbag using a fixed duty cycle, so that the DC component of the air pressure in the airbag remains constant. That is, the wearable device 100 can keep PsDC constant. For example, Fig.13As shown, the wearable device 100 can inflate the airbag through the PID control algorithm so that the DC component of the air pressure in the airbag reaches p1 mmHg. Afterwards, the air pump duty cycle is controlled to remain unchanged, so that the DC component of the air pressure in the airbag remains unchanged.

[0215] When PsDC remains unchanged, Pout is negatively correlated with Pa, and the AC component PaAC of the air pressure in the airbag detected by the air pressure sensor is positively correlated with the blood pressure Pa. For details, please refer to the above formulas 5 and 6. When measuring blood pressure, the wearable device 100 can measure the air pressure Ps in the airbag, and then determine the AC component PsAC of the air pressure Ps. The wearable device 100 can also determine Pout based on the amount of inflation in the airbag. When PsAC and Pout are known, then, since the values ​​of C and D are determined during calibration, the wearable device 100 can determine PaDC and PaAC based on the above formulas 5 and 6. Finally, when PaDC and PaAC are known, the wearable device can determine SBP and DBP based on the relationship between SBP, DBP, and PaDC and PaAC in the above formulas 3 and 4. In this way, the wearable device 100 can obtain the final measurement results SBP and DBP.

[0216] Comfort pressurization mode 5: Partial pressure envelope.

[0217] Optionally, in a possible implementation, the wearable device 100 may inflate the airbag when measuring blood pressure so that the air pressure in the airbag reaches a preset air pressure value. The preset air pressure value is less than or equal to the average pressure. The wearable device 100 may extract waveform features in the pulse oscillation waveform from the air pressure signal of the airbag detected by the air pressure sensor, the waveform features during oscillometric calibration, and the blood pressure result determined during oscillometric calibration to determine the current blood pressure measurement result.

[0218] Exemplarily, the wearable device 100 can inflate an airbag, and immediately deflate the airbag after the air pressure value in the airbag reaches a preset air pressure value. During the process of inflating the airbag, the air pressure sensor can measure the air pressure in the airbag in real time. Then, the wearable device 100 can filter out the pulse oscillation wave signal 1 from the air pressure signal measured by the air pressure sensor. The wearable device 100 can determine R waveform features from the pulse oscillation wave signal 1. Then, the wearable device 100 can compare the R waveform features with the R waveform features in the pulse oscillation wave signal 2 obtained during the oscillometric calibration, and then obtain the blood pressure measurement result based on the comparison result.

[0219] For example, take R as 3. Fig.14, the wearable device 100 can obtain waveform features K1, K2 and K3 from the pulse oscillation wave signal obtained in the oscillometric calibration phase. Among them, waveform feature K1 can be the peak amplitude of the main wave corresponding to the air pressure value 1 during the oscillometric calibration. Waveform feature K2 can be the peak amplitude of the main wave corresponding to the air pressure value 2 during the oscillometric calibration. Waveform feature K3 can be the peak amplitude of the main wave corresponding to the air pressure value 3 during the oscillometric calibration. The wearable device 100 can obtain waveform features K4, K5 and K6 from the pulse oscillation waveform signal obtained in the comfortable pressurization blood pressure measurement phase. Among them, waveform feature K4 can be the peak amplitude of the main wave corresponding to the air pressure value 1 during the comfortable pressurization. Waveform feature K5 can be the peak amplitude of the main wave corresponding to the air pressure value 2 during the comfortable pressurization. Waveform feature K6 can be the peak amplitude of the main wave corresponding to the air pressure value 3 during the comfortable pressurization. The slopes of waveform features K1, K2 and K3 can be L1. The slopes of waveform feature K4, waveform feature K5 and waveform feature K6 may be L2. Then the relationship between the blood pressure measurement result and the blood pressure result obtained during oscillometric calibration may be as follows:

[0220] SBP=L2 / L1(SBP (示波法校准) ) (Formula 7)

[0221] DBP=L2 / L1(DBP (示波法校准) ) (Formula 8)

[0222] In this way, the wearable device 100 can be based on the slope L1 and the slope L2, and the SBP determined during the oscillometric calibration. (示波法校准) and DBP (示波法校准) The blood pressure measurement results SBP and DBP are obtained.

[0223] It can be understood that the R waveform features extracted by the wearable device 100 from the pulse oscillation wave signal 1 and the R waveform features extracted from the pulse oscillation wave signal 2 obtained during the oscillometric calibration are not limited to the main wave peak amplitude at R pressure values, but can also be the R main wave trough amplitudes, or the amplitude difference between the main wave peak and the main wave trough corresponding to each pressure value in the R pressure values ​​(i.e., the AC component), or the dicrotic wave peak amplitude at R pressure values, or the dicrotic wave trough amplitude at R pressure values, etc., and the embodiments of the present application are not limited to this.

[0224] In a possible implementation, waveform feature K1 may be the main wave peak amplitude corresponding to air pressure value 1 during oscillometric calibration. Waveform feature K2 may be the main wave peak amplitude corresponding to air pressure value 2 during oscillometric calibration. Waveform feature K3 may be the main wave peak amplitude corresponding to air pressure value 3 during oscillometric calibration. Waveform feature K4 may be the main wave peak amplitude corresponding to air pressure value 4 during comfortable pressurization. Waveform feature K5 may be the main wave peak amplitude corresponding to air pressure value 5 during comfortable pressurization. Waveform feature K6 may be the main wave peak amplitude corresponding to air pressure value 6 during comfortable pressurization. Among them, air pressure value 4 may be equal to air pressure value 1, or the absolute value of the difference between air pressure value 4 and air pressure value 1 is less than a preset threshold. Air pressure value 5 may be equal to air pressure value 2, or the absolute value of the difference between air pressure value 5 and air pressure value 2 is less than a preset threshold. Air pressure value 6 may be equal to air pressure value 3, or the absolute value of the difference between air pressure value 6 and air pressure value 3 is less than a preset threshold. The preset threshold may be 5 mmHg, 4 mmHg, 3 mmHg, etc. The specific value of the preset threshold is not limited in the embodiment of the present application. It is understandable that the smaller the preset threshold, the higher the accuracy of the blood pressure result finally obtained by the wearable device 100.

[0225] Furthermore, in a possible implementation, the wearable device 100 can control the air pump to inflate the airbag, and after the airbag is inflated to a preset pressure value, the airbag maintains a constant pressure in the time period time1. Then, the wearable device 100 can select the Rth waveform feature from the R waveform features in the constant pressure segment waveform. Since the AC component in the constant pressure segment pulse waveform remains basically constant, selecting waveform features from the constant pressure segment pulse waveform can obtain more stable waveform features. At this time, the R waveform features extracted by the wearable device 100 can be the amplitude difference (i.e., AC component) between the main wave peak and the main wave trough corresponding to each pressure value in the R pressure values.

[0226] In a possible implementation, the wearable device 100 may check whether there is a stop valve before performing comfort pressurization. If there is a stop valve, the wearable device 100 may perform comfort pressurization according to the above-mentioned comfort pressurization mode 1 and determine the blood pressure measurement result. If there is no stop valve in the wearable device 100, the wearable device 100 may determine whether the mapping relationship between the air pump power and the inflation volume can be obtained. If it can be obtained, comfort pressurization is performed according to the above-mentioned comfort pressurization mode 2, and the blood pressure measurement result is determined. If the wearable device 100 determines that the mapping relationship between the air pump power and the inflation volume cannot be obtained, comfort pressurization may be performed according to the above-mentioned comfort pressurization mode 5.

[0227] Optionally, in a possible implementation, the wearable device 100 can check whether there is a stop valve during the oscillometric calibration phase. If there is, only the proportional coefficient A can be determined during the calibration phase. Then, during the comfort pressurization phase, the comfort pressurization can be performed according to the above-mentioned comfort pressurization mode 1, and the blood pressure measurement result can be determined. In this way, the wearable device 100 does not need to determine other parameters, such as the proportional coefficient C and the proportional coefficient D, etc., during the oscillometric calibration phase, which can reduce the amount of calculation and save power consumption.

[0228] S708: The wearable device 100 ends the blood pressure measurement.

[0229] After the wearable device 100 obtains the blood pressure measurement result, the blood pressure measurement can be terminated and the relevant sensors or modules used for the blood pressure measurement can be turned off. For example, the wearable device 100 can turn off the air pump and the air pressure sensor.

[0230] When the wearable device 100 determines that blood pressure measurement is not started, the relevant sensors or modules for blood pressure measurement may also be turned off.

[0231] Optionally, in a possible implementation, when the wearable device 100 detects that the user is wearing the wearable device 100, blood pressure measurement is immediately started, and the wearable device 100 can directly use the oscillometric method to measure blood pressure.

[0232] For example, in a possible implementation, after the wearable device 100 detects that the user wears the wearable device 100, the wearable device 100 can be immediately calibrated by the oscillometric method. Then, the wearable device 100 can start measuring after the interval length S1. For example, the user wears the wearable device 100 at 8 o'clock in the morning. When the wearable device 100 detects that the wearing state has changed to worn, it starts to execute step S702. Then, the wearable device 100 can start measuring at 22:00 at night and execute steps S703-step S707.

[0233] Through the blood pressure measurement method provided in the embodiment of the present application, when the user measures blood pressure, a comfortable pressurization mode can be used, with a shorter pressurization time and a lower pressure intensity. In particular, when the wearable device 100 automatically measures blood pressure at night, the comfortable pressurization mode can be used to measure blood pressure, which can reduce the impact on the user's sleep, thereby improving the user experience.

[0234] The blood pressure measurement method and the wearable device 100 provided in the embodiment of the present application can be used to evaluate whether the user is a patient of a special type of hypertension or hypotension.

[0235] Currently, there are many special types of hypertension in clinical practice, such as pseudohypertension, obesity-related hypertension, postural hypertension, sleep apnea-related hypertension, plateau hypertension, pregnancy-induced hypertension, and pulmonary hypertension.

[0236] These special types of hypertension can be summarized into two categories. One is that the change of user status is a relatively stable factor, the impact time is longer, the hypertension lasts longer, and the requirement for blood pressure measurement time is relatively low. For example, pseudo-hypertension, obese hypertension, plateau hypertension, pregnancy-induced hypertension, pulmonary hypertension, etc. Among them, pseudo-hypertension is mainly due to brachial artery sclerosis, which causes the measured systolic blood pressure to be too high. Obese hypertension is due to a high body mass index. Plateau hypertension mainly refers to high blood pressure when living in plateau areas. Gestational hypertension refers specifically to high blood pressure in women during pregnancy. Pulmonary hypertension mainly refers to high blood pressure after suffering from respiratory diseases.

[0237] The other type is that the mechanism of the user's state change takes effect quickly, the duration of hypertension is short, and the requirement for blood pressure measurement time is relatively high. Rapid blood pressure measurement can help diagnosis and treatment. For example, postural hypertension and sleep apnea hypertension.

[0238] There are also some special types of hypotension in clinical practice, such as postural hypotension, hypotension during pregnancy, and postprandial hypotension. These special types of hypotension can also be divided into hypotension during pregnancy, where the effect of the user status change mechanism is longer, and postural hypotension and postprandial hypotension, where the effect of the mechanism is shorter.

[0239] For special types of abnormal blood pressure with a short-term influencing mechanism in clinical practice, the blood pressure measurement method provided in this application can quickly evaluate the user's blood pressure and assist in determining the special blood pressure type through calibration and pre-inflation before the user's status changes, and rapid measurement after the user's status changes.

[0240] Take the example of assessing whether the user has postural hypertension or hypotension. Fig.15 As shown, the wearable device 100 may include the following steps in assessing whether the user has postural hypertension or hypotension:

[0241] S1501: The wearable device 100 detects that the time length for which the user maintains posture 1 is greater than or equal to time length Y1.

[0242] For example, posture 1 may be a lying posture (also referred to as a lying posture or a lying posture). When the user uses the wearable device 100 to assess whether orthostatic hypertension occurs, the wearable device 100 may prompt the user to maintain a lying posture for a period greater than or equal to a time length Y1.

[0243] Optionally, in a possible implementation, different types of high / low blood pressure type assessment options may be displayed in the wearable device 100. Among them, the different types of high / low blood pressure type assessment options may include a postural high / low blood pressure assessment option. In response to the user selecting the postural high / low blood pressure assessment option on the wearable device 100, the wearable device 100 may prompt the user to maintain posture 1, and the duration of maintaining posture 1 is Y1.

[0244] Further, optionally, the wearable device 100 can also display to the user the specific operation process and duration of evaluating postural hypertension / hypotension, and prompt the user to maintain posture 1 after the user chooses to start the evaluation, and the duration of maintaining posture 1 is Y1.

[0245] The wearable device 100 can determine that the user is in a lying position based on the heart rate and / or motion data collected by the wearable device 100.

[0246] In some embodiments, the wearable device 100 can collect the user's heart rate through a preset PPG sensor. When the user is lying down, the user's heart rate is low. If the user's heart rate is less than the heart rate threshold, it can be determined that the user's posture is lying down.

[0247] Optionally, the wearable device 100 can determine the user's posture based on multiple sets of heart rate values ​​within the first time period before starting to measure blood pressure. If the multiple sets of heart rate values ​​within the first time period before starting to measure blood pressure are less than the heart rate threshold, it can be determined that the user's posture is lying.

[0248] In some embodiments, the wearable device 100 may also collect the user's motion data, such as the number of steps, through a preset motion sensor. If the change value of the number of steps in the first time period before the blood pressure measurement is less than the second value, it means that the user has basically not exercised, and the user's posture can be determined to be lying. For example, when the wearing state of the wearable device 100 is worn, the user's motion data has basically not changed in the first time period, and the user's posture is determined to be lying.

[0249] In a possible implementation, the wearable device 100 can determine that the user is in a lying position by combining the acceleration components of the gravitational acceleration G on the X-axis and the Y-axis.

[0250] In some embodiments, Fig.16 As shown, when the user is in a lying position, the X-axis and the Y-axis are always perpendicular to the gravity acceleration G, and the lying position of the user can be determined based on the acceleration components of the gravity acceleration G on the X-axis and the Y-axis.

[0251] Specifically, when the wearable device 100 determines that the acceleration components of the gravitational acceleration G on the X-axis and the Y-axis are close to minimum values ​​(for example, 0), the user's lying posture can be determined.

[0252] When the wearable device 100 detects that the time for which the user maintains posture 1 is greater than or equal to Y1, the wearable device 100 may execute step S1502. Y1 is the time for the user to maintain a lying position and relax his muscles. Generally, Y1 may be 5 minutes to 10 minutes, or more than 10 minutes. For example, Y1 may be 10 minutes, 5 minutes, 8 minutes, etc., and the embodiment of the present application does not limit the specific Y1.

[0253] S1502: The wearable device 100 measures blood pressure in posture 1.

[0254] When the time duration for which the user maintains a lying position is greater than or equal to Y1, the wearable device 100 can measure the user's blood pressure.

[0255] In a possible implementation, the wearable device 100 may measure blood pressure using an oscillometric method. When the wearable device 100 measures the blood pressure of the user in posture 1 using the oscillometric method, it may also calibrate using the relevant blood pressure values, the air pressure signal waveform, and the pulse oscillation wave waveform obtained when measuring the blood pressure using the oscillometric method. Here, how the wearable device 100 is calibrated using the oscillometric method can refer to the description in the above step S702, which will not be repeated here.

[0256] S1503: The wearable device 100 pre-pressurizes the blood pressure according to the blood pressure value of posture 1.

[0257] The wearable device 100 can measure the blood pressure value according to posture 1 and pre-pressurize the airbag, that is, inflate the airbag. That is, the wearable device 100 can control the air pump to pressurize the airbag and inflate it until the air pressure value in the airbag reaches the target air pressure value.

[0258] Among them, the wearable device 100 can make the air pressure value in the airbag reach the target air pressure value through a comfortable pressurization mode of constant air volume or constant pressure. How the wearable device 100 makes the air volume in the airbag constant can refer to the description of the comfortable pressurization mode 1 in the above steps S706-S707, which will not be repeated here. How the wearable device 100 makes the air pressure in the airbag constant can refer to the description of the comfortable pressurization mode 2 in the above steps S706-S707, which will not be repeated here.

[0259] The target air pressure value may be equal to the average pressure value measured by the wearable device 100 through the oscillometric method. Alternatively, the target air pressure value may be equal to the SBP value measured by the wearable device 100 through the oscillometric method. Alternatively, the target air pressure value may be equal to the DBP value measured by the wearable device 100 through the oscillometric method.

[0260] S1504: The wearable device 100 guides the user to change from posture 1 to posture 2.

[0261] After the wearable device 100 completes pre-pressurization of the airbag, the wearable device 100 can guide the user to change from posture 1 to posture 2. For example, the wearable device 100 can remind the user to change postures through vibration or voice, video, animation, etc., and prompt the user to change from posture 1 to posture 2. For example, posture 2 can be a standing posture (also called a standing posture or a standing posture).

[0262] When the user's posture changes to standing, the wearable device 100 can determine that the user's posture is standing based on but not limited to any one or more of the following methods.

[0263] Method 1: The wearable device 100 can determine that the user's posture is standing by combining the heart rate and / or motion data collected by the wearable device 100.

[0264] In some embodiments, the wearable device 100 can collect the user's heart rate through a preset PPG sensor. When the user is walking or running naturally, the user's heart rate is high. If the wearable device 100 detects that the user's heart rate is greater than the first heart rate value through the PPG sensor, it can be determined that the user's posture is a standing posture.

[0265] Optionally, the wearable device 100 can determine the user's posture based on multiple sets of heart rate values ​​within the first time period before starting to measure blood pressure. If the multiple sets of heart rate values ​​within the first time period before starting to measure blood pressure are greater than the first heart rate value, the wearable device 100 can determine that the user's posture is standing.

[0266] In some embodiments, the wearable device 100 can also collect the user's motion data, such as the number of steps and other information, through a preset motion sensor. When the user walks or runs naturally, the number of steps of the user will accumulate and increase. If the change in the number of steps within the first time period before starting to measure the blood pressure is greater than the first value, it can be determined that the user's posture is standing.

[0267] Method 2: The wearable device 100 can determine that the user's posture is standing by combining the acceleration component of the gravity acceleration G on the Z axis.

[0268] When the user is standing, the Z axis is always perpendicular to the gravity acceleration G. Based on the acceleration component of the gravity acceleration G on the Z axis, it can be determined that the user's posture is standing.

[0269] Specifically, when the wearable device 100 determines that the acceleration component of the gravity acceleration G on the Z axis is close to a minimum value, it can be determined that the user's posture is standing.

[0270] Method three: the wearable device 100 can obtain the motion posture of the wearable device 100, and determine the standing posture of the user based on the motion posture of the wearable device 100.

[0271] For example, Fig.17 A schematic diagram showing a user wearing a wearable device 100 while standing is shown.

[0272] like Fig.17 As shown, the direction along the user's forearm and parallel to the user's finger is the positive direction of the X axis. The direction perpendicular to the positive direction of the X axis and away from the user's body is the positive direction of the Y axis. The X axis and the Y axis can determine the XY plane. The direction perpendicular to the XY plane and away from the wearable component is the positive direction of the Z axis.

[0273] The positive direction of gravity acceleration G always points vertically to the ground. A direction parallel to the positive direction of gravity acceleration G and opposite to the positive direction of gravity acceleration G is the first direction.

[0274] The wearable device 100 can determine that the user's posture is standing based on the change in the angle between the X-axis and the first direction.

[0275] Not limited to the above three methods, the wearable device 100 can also determine the user's standing posture based on other methods, and this application does not limit this.

[0276] S1505. The wearable device 100 measures blood pressure in posture 2 in comfortable pressurization mode.

[0277] The wearable device 100 can inflate and pressurize the airbag again to measure the blood pressure of the user in posture 2. The wearable device 100 can pressurize the airbag in a comfortable pressurization mode. Here, the wearable device 100 uses the comfortable pressurization mode to measure the blood pressure of the user in posture 2. Please refer to the description in steps S706-S707 above, which will not be repeated here.

[0278] S1506: The wearable device 100 displays a countdown of 3 minutes.

[0279] Optionally, when the wearable device 100 starts comfortable pressurization, a countdown of 3 minutes can be displayed. In this way, it can be used to remind the user that the duration of measuring blood pressure is 3 minutes.

[0280] Exemplarily, step S1506 is an optional step, that is, the wearable device 100 may not perform step S1506.

[0281] S1507. The wearable device 100 prompts the user to maintain posture 2.

[0282] After the wearable device 100 measures the blood pressure of the user in posture 2 according to step S1505, the wearable device 100 may prompt the user to continue to maintain posture 2.

[0283] S1508. The wearable device 100 measures the blood pressure in posture 2 at intervals of time Y1.

[0284] Then, the wearable device 100 can measure the blood pressure of the user in posture 2 at intervals of time Y1. The measurement method can refer to the description in the above step S1505, which will not be repeated here.

[0285] S1509: The wearable device 100 ends the measurement after a time period Y2.

[0286] The wearable device 100 may end the measurement after a duration Y2, which may be 45 minutes or 1 hour. The embodiment of the present application does not limit the specific value of Y2.

[0287] Optionally, in a possible implementation, after the wearable device 100 finishes the measurement, it can generate an evaluation result based on the measured blood pressure data. Fig.18 As shown, the user interface 1801 can display the user's blood pressure before the body position change (124 / 74 mmHg) and the user's blood pressure after the body position change (154 / 97 mmHg). The user interface 1801 can also display the user's blood pressure curve throughout the process and blood pressure result evaluation suggestions. The blood pressure result evaluation suggestions can be as follows: Fig.18 It says “We have detected that your blood pressure is 154 / 97 mmHg after the change of body position, which is larger than the blood pressure before the change of body position (30 / 23 mmHg). You may have postural hypertension. We suggest you see a doctor to further clarify the cause of the abnormality and seek help from professionals.”

[0288] Exemplarily, the user interface 1801 can be a user interface displayed in the wearable device 100. Optionally, the user interface 1801 can also be a user interface displayed in an electronic device with a larger display screen size, such as a mobile phone or tablet, or a computer. It is understandable that the size of the display screen of the wearable device 100 is generally limited. In order to facilitate the user to better view the evaluation results, the evaluation results can be sent to an electronic device such as a mobile phone or tablet, or a computer. Alternatively, the wearable device 100 can send the measured blood pressure data to an electronic device such as a mobile phone or tablet, or a computer, and then the mobile phone or tablet, or a computer, etc. can generate an evaluation result based on the blood pressure data. This embodiment of the present application is not limited to this.

[0289] Patients with postural hypertension / hypotension have normal blood pressure when lying down, and their blood pressure increases or decreases after changing from lying down to standing. The formation of postural hypertension and postural hypotension is related to the increased excitability of the sympathetic nerves. Through the wearable device 100 provided in the embodiment of the present application and the above-mentioned evaluation steps for postural hypertension / hypotension, the wearable device 100 can adaptively judge the user's posture and posture changes based on the sensor. Then, the wearable device 100 can not only provide a comfortable pressurization method that effectively reduces the measurement time, but also can timely and accurately detect postural blood pressure abnormalities, and provide users with accurate information and scientific advice.

[0290] In the embodiment of the present application, the wearable device 100 can be used not only to assess whether the user is a patient with postural hypertension / hypotension, but also to assess whether the user is a patient with sleep-disordered breathing and hypertension. People with sleep-disordered breathing may experience repeated apnea during sleep. Generally, each apnea can last for about 10 seconds, and may occur more than 30 times per night, accompanied by symptoms of periodic blood pressure increase. This type of hypertension can be called sleep-disordered breathing and hypertension.

[0291] In an embodiment of the present application, in order to evaluate sleep-disordered breathing hypertension, first, the wearable device 100 can be calibrated before sleep. Then, the wearable device 100 can detect whether the user has sleep apnea linearity or abnormal blood oxygen value (for example, a decrease in blood oxygen value) based on the blood oxygen continuous detection function or the sleep apnea monitoring function. In the case of abnormal blood oxygen value or sleep apnea, the wearable device 100 can enter the comfort pressurization mode to achieve the constant gas volume or constant pressure state in the aforementioned embodiment, track blood pressure changes in real time, and evaluate the impact of sleep apnea events on blood pressure. Alternatively, a partial envelope solution is used to quickly obtain the user's blood pressure status, corresponding to the impact of sleep apnea events on blood pressure.

[0292] Fig.19 The following is an exemplary illustration of a process for evaluating whether a user is a patient with sleep apnea hypertension provided by an embodiment of the present application. Fig.19 As shown, the wearable device 100 may include the following steps in assessing whether the user is a patient with sleep apnea-induced hypertension:

[0293] S1901: The wearable device 100 detects that the time length for which the user maintains a lying position is greater than or equal to Y3.

[0294] Optionally, in a possible implementation, different types of high / low blood pressure type assessment options may be displayed in the wearable device 100. Among them, the different types of high / low blood pressure type assessment options may include a sleep apnea hypertension assessment option. In response to the user selecting the sleep apnea hypertension assessment option on the wearable device 100, the wearable device 100 may prompt the user to continue lying down.

[0295] Further, optionally, the wearable device 100 can also display the specific operation process and duration of evaluating sleep-disordered breathing hypertension to the user, and prompt the user to remain in a lying position after the user chooses to start the evaluation, and the duration of the lying position is Y3. Y3 can be the duration from the user lying down to keeping quiet and relaxing the muscles. Exemplarily, Y3 can be 3 minutes. It can be understood that the specific value of Y3 is not limited in the embodiment of the present application.

[0296] The wearable device 100 may detect that the user's posture is a lying posture. The manner in which the wearable device 100 determines that the user's posture is a lying posture may refer to the description in the above step S1501.

[0297] In addition, the wearable device 100 may also determine that the user's posture is a lying posture based on but not limited to one or more of the following methods.

[0298] Method 1: Between the first hour at night and the second hour in the morning, it can be determined that the user's posture is lying down.

[0299] For example, the first time may be 10 pm, and the second time may be 6 a.m. Between 10 pm and 6 a.m., it can be determined that the user is in a sleeping state, and it can be determined that the user's posture is a lying posture.

[0300] It is not limited to 10 pm to 6 am. The time period when the user is in a sleeping state can also be other time periods, and this application does not limit this.

[0301] Method 2: determining that the user's posture is lying down based on the movement posture of the wearable device 100.

[0302] In some embodiments, when the user is sleeping, if the user places his hand on his abdomen, the wrist will move up and down regularly with the abdominal breathing. The displacement trajectory of the wearable device 100 can be as follows: Fig. 20 The displacement track shown. Based on the displacement track of the wearable device 100, it can be determined that the user's posture is lying down.

[0303] The embodiment of the present application does not limit the specific manner in which the wearable device 100 determines that the user's posture is a lying posture.

[0304] When the wearable device 100 measures that the user's posture is a lying posture, and the time the user maintains the lying posture is greater than or equal to Y3, the wearable device 100 can execute the following step S1902.

[0305] S1902: The wearable device 100 measures the user's blood pressure in a lying position.

[0306] When the time length for which the user maintains a lying position is greater than or equal to Y3, the wearable device 100 may measure the user's blood pressure.

[0307] In a possible implementation, the wearable device 100 may measure blood pressure using an oscillometric method. When the wearable device 100 measures the blood pressure of the user in a lying position using an oscillometric method, it may also calibrate using the relevant blood pressure values, the air pressure signal waveform, and the pulse oscillation wave waveform obtained when measuring the blood pressure using the oscillometric method. Here, how the wearable device 100 is calibrated using the oscillometric method can refer to the description in the above step S702, which will not be repeated here.

[0308] S1903: The wearable device 100 pre-pressurizes according to the blood pressure value in the lying position.

[0309] The wearable device 100 can obtain the blood pressure value according to the lying position measurement and pre-pressurize the airbag, that is, inflate the airbag. That is, the wearable device 100 can control the air pump to pressurize the airbag and inflate it until the air pressure value in the airbag reaches the target air pressure value.

[0310] Among them, the wearable device 100 can make the air pressure value in the airbag reach the target air pressure value through a comfortable pressurization mode of constant air volume or constant pressure. How the wearable device 100 makes the air volume in the airbag constant can refer to the description of the comfortable pressurization mode 1 in the above steps S706-S707, which will not be repeated here. How the wearable device 100 makes the air pressure in the airbag constant can refer to the description of the comfortable pressurization mode 2 in the above steps S706-S707, which will not be repeated here.

[0311] The target air pressure value may be equal to the average pressure value measured by the wearable device 100 through the oscillometric method. Alternatively, the target air pressure value may be equal to the SBP value measured by the wearable device 100 through the oscillometric method. Alternatively, the target air pressure value may be equal to the DBP value measured by the wearable device 100 through the oscillometric method.

[0312] S1904: The wearable device 100 detects a sleep apnea event or a blood oxygen drop event.

[0313] The wearable device 100 can detect whether a sleep apnea event or a blood oxygen drop event occurs during sleep of the user through a PPG sensor.

[0314] In a feasible example, when the PPG sensor in the wearable device 100 detects that the user's blood oxygen value is lower than the preset blood oxygen value within the duration Y5, the wearable device 100 determines that a sleep apnea event has been detected in the user. The duration Y5 may be 10 seconds, and the preset blood oxygen value may be 95%. The specific values ​​of the duration Y5 and the preset blood oxygen value are not limited in the embodiment of the present application.

[0315] In another feasible example, when the PPG sensor in the wearable device 100 detects that the user's blood oxygen value drops from a first blood oxygen value to a second blood oxygen value, the wearable device 100 can determine that a blood oxygen drop event of the user has been detected.

[0316] S1905. The wearable device 100 measures blood pressure in a comfortable pressurization mode.

[0317] When the wearable device 100 detects a sleep apnea event or a blood oxygen drop event, the wearable device 100 can inflate and pressurize the airbag again to measure the blood pressure of the user in a lying position. The wearable device 100 can pressurize the airbag in a comfortable pressurization mode. Here, the wearable device 100 uses the comfortable pressurization mode to measure the blood pressure of the user in a lying position. Please refer to the description in steps S706-S707 above, which will not be repeated here.

[0318] S1906. The wearable device 100 monitors the user's blood pressure for a duration Y4.

[0319] The wearable device 100 can continuously monitor the user's blood pressure within the duration Y4. For example, from 10:00 p.m. on the same day to 7:00 a.m. the next day (i.e., the duration Y4 is 9 hours), the wearable device 100 can continuously monitor the user's blood pressure. That is, during the time period from 10:00 p.m. on the same day to 7:00 a.m. the next day, whenever the wearable device 100 detects that the user has a sleep apnea event or a blood oxygen drop event, the wearable device 100 can execute step S1905, i.e., measure the user's blood pressure in the comfortable pressurization mode.

[0320] Y4 may be the length of sleep of the user at night. For example, Y4 may be 6 hours, 7 hours, 8 hours, 9 hours, etc. The embodiment of the present application does not limit the specific value of Y4.

[0321] S1907: The wearable device 100 evaluates the blood pressure measurement result.

[0322] The wearable device 100 may end the measurement after the time Y4, and then may generate an evaluation result based on the measured blood pressure data. Fig.21As shown, user interface 2101 can display the user's blood pressure before going to bed (124 / 74 mmHg) and the user's maximum blood pressure during sleep (154 / 97 mmHg). User interface 2101 can also display the user's blood oxygen and blood pressure curves throughout the process, as well as blood pressure result evaluation suggestions. The blood pressure result suggestions can be as follows: Fig.21 It says “It has been detected that your blood oxygen concentration is low during sleep and you have sleep apnea disorder. Your maximum blood pressure is 154 / 97 mmHg, which is quite abnormal. You may have sleep apnea-related hypertension. It is recommended that you seek medical attention to further clarify the cause of the abnormality and seek help from professionals.”

[0323] Exemplarily, the user interface 2101 can be a user interface displayed in the wearable device 100. Optionally, the user interface 2101 can also be a user interface displayed in an electronic device with a larger display screen size, such as a mobile phone or tablet, or a computer. It is understandable that the size of the display screen of the wearable device 100 is generally limited. In order to facilitate the user to better view the evaluation results, the evaluation results can be sent to an electronic device such as a mobile phone or tablet, or a computer. Alternatively, the wearable device 100 can send the measured blood pressure data to an electronic device such as a mobile phone or tablet, or a computer, and then the mobile phone or tablet, or a computer, etc., can generate an evaluation result based on the blood pressure data. This embodiment of the present application is not limited to this.

[0324] In this way, when the user may be suspected of sleep apnea-induced hypertension, the wearable device 100 can evaluate whether the user has sleep apnea-induced hypertension. In addition, the wearable device 100 can also monitor the user's blood oxygen and blood pressure during the process. The wearable device 100 can also display the correlation between reduced blood oxygen and increased blood pressure, and form an evaluation report to suggest that the user seek help from a professional. In this way, the user's physical health can be monitored and abnormal blood pressure of the user can be discovered in time.

[0325] In the embodiment of the present application, the wearable device 100 can also be used to assess whether the user suffers from postprandial hypotension. Generally, after a meal, a large amount of blood is distributed to digestive organs such as the gastrointestinal tract, resulting in reduced blood supply to the cardiovascular and cerebrovascular vessels. If the user's systolic blood pressure drops significantly within 2 hours after a meal, the user is a patient with postprandial hypotension.

[0326] In order to evaluate whether the user has postprandial hypotension, the wearable device 100 can be calibrated by oscillometric method before eating, and then guide the user to record the meal situation, such as meal time, food type, food portion, etc. Then, the wearable device 100 can enter the comfortable pressurization mode after the user finishes the meal, realize the constant gas volume or constant pressure state in the aforementioned embodiment, track blood pressure changes in real time, and evaluate the blood pressure fluctuation after the meal. Or the wearable device can also adopt a partial envelope solution to quickly obtain the user's blood pressure at intervals multiple times after the meal to evaluate the blood pressure fluctuation after the meal.

[0327] Fig. 22 The following is an exemplary diagram of a process for evaluating whether a user has postprandial hypotension, provided in an embodiment of the present application. Fig. 22 As shown, the wearable device 100 may include the following steps in assessing whether the user suffers from postprandial hypotension:

[0328] S2201: The wearable device 100 detects that the time duration for which the user maintains a sitting posture is greater than or equal to time duration Y3.

[0329] Optionally, in a possible implementation, different types of high / low blood pressure type assessment options may be displayed in the wearable device 100. Among them, the different types of high blood pressure type assessment options may include a postprandial hypotension assessment option. In response to the user selecting the postprandial hypotension assessment option on the wearable device 100, the wearable device 100 may prompt the user to continue to sit (also referred to as a sitting posture or sitting posture).

[0330] Further, optionally, the wearable device 100 can also display the specific operation process and duration of evaluating postprandial hypotension to the user, and prompt the user to keep sitting after the user chooses to start the evaluation, and the duration of sitting is Y3. Y3 can be the duration from the user sitting down to keeping quiet and relaxing the muscles. Exemplarily, Y3 can be 3 minutes. It can be understood that the specific value of Y3 is not limited in the embodiment of the present application.

[0331] The wearable device 100 may determine that the user's posture is a sitting posture based on but not limited to one or more of the following methods.

[0332] Method 1: The wearable device 100 can determine that the user's posture is a sitting posture based on the heart rate and / or motion data collected by the wearable device 100.

[0333] In some embodiments, the wearable device 100 can collect the user's heart rate through a preset PPG sensor. When the user is walking or running naturally, the user's heart rate is higher. If the heart rate is greater than the second heart rate value and less than the first heart rate value, it means that the user's exercise is less and the heart rate is relatively stable. It can be determined that the user's posture is sitting, where the first heart rate value is greater than the second heart rate value.

[0334] Optionally, the wearable device 100 can determine the user's posture based on multiple sets of heart rate values ​​within the first time period before starting to measure blood pressure. If the multiple sets of heart rate values ​​within the first time period before starting to measure blood pressure are greater than the second heart rate value and less than the first heart rate value, it can be determined that the user's posture is sitting.

[0335] In some embodiments, the wearable device 100 may also collect the user's motion data, such as the number of steps and other information, through a preset motion sensor. If the change in the number of steps within the first period of time before starting to measure the blood pressure is greater than the second value and less than the first value or less than the first value, it means that the user has fewer steps, and the user's posture can be determined to be sitting, where the first value is greater than the second value.

[0336] Method 2: The wearable device 100 can determine that the user's posture is a sitting posture by combining the acceleration component of the gravity acceleration G on the Z axis.

[0337] When the user is sitting, the Z axis is always perpendicular to the gravity acceleration G, and the user's posture can be determined as a sitting posture based on the acceleration component of the gravity acceleration G on the Z axis.

[0338] Specifically, when the wearable device 100 determines that the acceleration component of the gravity acceleration G on the Z axis is close to a minimum value, it can be determined that the user's posture is a sitting posture.

[0339] Method three: the wearable device 100 can obtain the motion posture of the wearable device 100, and determine that the user's posture is a sitting posture based on the motion posture of the wearable device 100.

[0340] For example, Fig.23 A schematic diagram showing a user wearing a wearable device 100 while sitting.

[0341] like Fig.23 As shown, the direction along the user's forearm and parallel to the user's finger is the positive direction of the X axis. The direction perpendicular to the positive direction of the X axis and pointing outward is the positive direction of the Y axis. The X axis and the Y axis can determine the XY plane. The direction perpendicular to the XY plane and away from the wearable component is the positive direction of the Z axis.

[0342] The positive direction of gravity acceleration G always points vertically to the ground. A direction parallel to the positive direction of gravity acceleration G and opposite to the positive direction of gravity acceleration G is the first direction.

[0343] The wearable device 100 can determine that the user's posture is a sitting posture based on the change in the angle between the X-axis and the first direction.

[0344] like Fig.24As shown, when the user is sitting, the user's forearm is generally placed flat on the leg or on the table, and the angle between the first direction of the positive direction of the X-axis on the wearable device 100 is about 100 degrees. When the user lifts the wearable device 100 to be flush with the heart, the angle between the first direction of the positive direction of the X-axis will decrease sharply, for example, from 100 degrees to about 40 degrees. After the user puts the wearable device 100 flush with the heart, the angle between the first direction of the positive direction of the X-axis stabilizes at about 40 degrees.

[0345] The motion posture of the wearable device 100 can be determined based on the change value of the angle between the positive direction of the X-axis and the first direction. The wearable device 100 can determine that the user's posture is a sitting posture based on the change value of the angle between the positive direction of the X-axis and the first direction. Specifically, before starting to measure blood pressure, if the wearable device 100 monitors that the change value of the angle between the positive direction of the X-axis and the first direction within the second time period is greater than the second angle value and less than the first angle value, it can be determined that the user's posture is a sitting posture. Among them, the first angle value is greater than the second angle value. Exemplarily, the first angle value can be 100 degrees, and the second angle value can be 50 degrees. The first angle value and the second angle value can also be other values, and this application does not limit this.

[0346] Not limited to the above three methods, the wearable device 100 can also determine the user's standing posture based on other methods, and this application does not limit this.

[0347] When the wearable device 100 measures that the user's posture is a sitting posture, and the time the user maintains the sitting posture is greater than or equal to Y3, the wearable device 100 can execute the following step S2202.

[0348] S2202. The wearable device 100 measures the user's sitting blood pressure.

[0349] When the time duration for which the user maintains a sitting position is greater than or equal to Y3, the wearable device 100 may measure the user's blood pressure.

[0350] In a possible implementation, the wearable device 100 may measure blood pressure using an oscillometric method. When the wearable device 100 measures the blood pressure of the user in a sitting position using an oscillometric method, it may also calibrate using the relevant blood pressure values, the air pressure signal waveform, and the pulse oscillation wave waveform obtained when measuring the blood pressure using the oscillometric method. Here, how the wearable device 100 is calibrated using the oscillometric method can refer to the description in the above step S702, which will not be repeated here.

[0351] S2203: The wearable device 100 receives a meal start time input by the user.

[0352] When the user starts to eat, the user can input the user's meal start time in the wearable device 100. The wearable device 100 can receive and save the meal start time input by the user.

[0353] S2204: The wearable device 100 receives the meal end time input by the user.

[0354] When the user finishes eating, the wearable device 100 can receive the meal end time input by the user. The wearable device 100 can also receive the diet type, diet portion, etc. input by the user.

[0355] S2205. The wearable device 100 pre-pressurizes according to the sitting blood pressure value.

[0356] After the user finishes eating, the wearable device 100 can inflate and pre-pressurize the airbag according to the sitting blood pressure. That is, the wearable device 100 can control the air pump to inflate and pressurize the airbag until the air pressure value in the airbag reaches the target air pressure value.

[0357] Among them, the wearable device 100 can make the air pressure value in the airbag reach the target air pressure value through a comfortable pressurization mode of constant air volume or constant pressure. How the wearable device 100 makes the air volume in the airbag constant can refer to the description of the comfortable pressurization mode 1 in the above steps S706-S707, which will not be repeated here. How the wearable device 100 makes the air pressure in the airbag constant can refer to the description of the comfortable pressurization mode 2 in the above steps S706-S707, which will not be repeated here.

[0358] The target air pressure value may be equal to the average pressure value measured by the wearable device 100 through the oscillometric method. Alternatively, the target air pressure value may be equal to the SBP value measured by the wearable device 100 through the oscillometric method. Alternatively, the target air pressure value may be equal to the DBP value measured by the wearable device 100 through the oscillometric method.

[0359] S2206. The wearable device 100 measures blood pressure in a comfortable pressurization mode.

[0360] The wearable device 100 can inflate and pressurize the airbag again to measure the user's blood pressure after a meal. The wearable device 100 can pressurize the airbag in a comfortable pressurization mode. Here, the wearable device 100 can measure the blood pressure of the user in a lying position in a comfortable pressurization mode, which can be referred to the description in steps S706-S707 above, and will not be repeated here.

[0361] The wearable device 100 can perform step S2206 to measure the user's blood pressure every time interval Y6 after 2 hours after the user starts eating or 2 hours after the user finishes eating. The time interval Y6 can be 10 minutes, 20 minutes, or 30 minutes, etc. The embodiment of the present application does not limit the specific value of Y6.

[0362] S2207: The wearable device 100 evaluates the post-meal blood pressure measurement result.

[0363] When the time reaches two hours after the start or end of the meal recorded by the user, the wearable device 100 can end the blood pressure measurement and evaluate the user's post-meal blood pressure measurement result.

[0364] Exemplarily, the evaluation result generated by the wearable device 100 may also be as follows: Fig.25 As shown, user interface 2501 may display the user's blood pressure before a meal (124 / 74 mmHg) and the user's blood pressure after a meal (93 / 62 mmHg). User interface 2501 may also display a blood pressure curve of the user throughout the entire process, as well as blood pressure result evaluation suggestions. Blood pressure result suggestions may be as follows: Fig.25 It says "It has been detected that your blood pressure after the meal is 93 / 62 mmHg, which is a significant change compared to the blood pressure before the meal (-31 / -12 mmHg). You may have postprandial hypotension. It is recommended that you eat small and frequent meals to ensure blood supply to your heart and brain. If you feel unwell, please seek medical attention and seek help from professionals in a timely manner."

[0365] Exemplarily, the user interface 2501 can be a user interface displayed in the wearable device 100. Optionally, the user interface 2501 can also be a user interface displayed in an electronic device with a larger display screen size, such as a mobile phone or tablet, or a computer. It is understandable that the size of the display screen of the wearable device 100 is generally limited. In order to facilitate the user to better view the evaluation results, the evaluation results can be sent to an electronic device such as a mobile phone or tablet, or a computer. Alternatively, the wearable device 100 can send the measured blood pressure data to an electronic device such as a mobile phone or tablet, or a computer, and then the mobile phone or tablet, or a computer, etc. can generate an evaluation result based on the blood pressure data. This embodiment of the present application is not limited to this.

[0366] In this way, when the user may be suspected of having abnormal blood pressure after a meal, the wearable device 100 can evaluate whether the user has postprandial hypotension. In addition, the wearable device 100 can also monitor the user's blood pressure within 2 hours before and after a meal, and form an evaluation report to suggest that the user seek help from a professional. In this way, the user's physical health can be monitored and abnormal blood pressure of the user can be discovered in time.

[0367] In the embodiment of the present application, the first posture may be posture 1, the second posture may be posture 2, the third posture may be posture 3, and the fourth posture may be posture 4. The first duration may be duration Y1, the second duration may be duration Y3, and the third duration may be duration Y3.

[0368] As described above, the above embodiments are only used to illustrate the technical solutions of the present application, rather than to limit them. Although the present application has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of the present application.

[0369] As used in the above embodiments, the term "when..." may be interpreted to mean "if..." or "after..." or "in response to determining..." or "in response to detecting...", depending on the context. Similarly, the phrases "upon determining..." or "if (the stated condition or event) is detected" may be interpreted to mean "if determining..." or "in response to determining..." or "upon detecting (the stated condition or event)" or "in response to detecting (the stated condition or event)", depending on the context.

[0370] In the above embodiments, it can be implemented in whole or in part by software, hardware, firmware or any combination thereof. When implemented using software, it can be implemented in whole or in part 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 embodiment of the present application is generated in whole or in part. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable devices. The computer instructions can 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 can be transmitted from a website site, computer, server or data center by wired (e.g., coaxial cable, optical fiber, digital subscriber line) or wireless (e.g., infrared, wireless, microwave, etc.) mode to another website site, computer, server or data center. The computer-readable storage medium can be any available medium that a computer can access or a data storage device such as a server or data center that contains one or more available media integration. The available medium can be a magnetic medium, (e.g., a floppy disk, a hard disk, a tape), an optical medium (e.g., a DVD), or a semiconductor medium (e.g., a solid-state hard disk), etc.

[0371] Those skilled in the art can understand that to implement all or part of the processes in the above-mentioned embodiments, the processes can be completed by computer programs to instruct related hardware, and the programs can be stored in computer-readable storage media. When the programs are executed, they can include the processes of the above-mentioned method embodiments. The aforementioned storage media include: ROM or random access memory RAM, magnetic disk or optical disk and other media that can store program codes.

Claims

1. A blood pressure measurement method, characterized in that: The method is applied to a wearable device, wherein the wearable device includes an air bag, an air pump, and an air pressure sensor, and the method includes: When the wearable device detects that the wearing state is worn, the wearable device controls the air pump to inflate and deflate the airbag, and detects the pressure of the airbag through the air pressure sensor to obtain a first pressure wave signal, wherein the first pressure wave signal includes an air pressure peak value; The wearable device determines a first blood pressure value based on the first pressure wave signal; The wearable device stores the first pressure wave signal and the first blood pressure value; The wearable device controls the air pump to inflate the airbag so that the air pressure in the airbag reaches a first air pressure value, and the first air pressure value is less than the peak air pressure value; The wearable device determines a blood pressure measurement result based on the first air pressure value, the first pressure wave signal, and the first blood pressure value.

2. The method according to claim 1, characterized in that The wearable device controls the air pump to inflate the airbag so that the air pressure in the airbag reaches a first air pressure value, and the method includes: The wearable device controls the airbag so that the air pressure in the airbag is maintained at the first air pressure value within a first time period.

3. The method according to claim 1, characterized in that The wearable device further includes a stop valve, the stop valve is connected to the air pump and the airbag, the wearable device controls the air pump to inflate the airbag so that the air pressure in the airbag reaches a first air pressure value, and the method includes: The wearable device controls the inflation amount in the airbag through the stop valve so that the inflation amount in the airbag remains unchanged within the second time period.

4. The method according to any one of claims 1 to 3, characterized in that: The wearable device controls the air pump to inflate the airbag so that before the air pressure in the airbag reaches a first air pressure value, the method includes: The wearable device detects a wearing state of the wearable device.

5. The method according to claim 4, characterized in that The wearable device detects a wearing state of the wearable device, including: When the wearable device detects a photoplethysmogram signal PPG, and / or detects a capacitance value greater than a capacitance threshold, and / or detects an acceleration greater than an acceleration threshold within a preset time period, and / or detects a temperature greater than a first temperature threshold and less than a second temperature threshold, and / or detects an intensity of reflected light greater than an intensity threshold, the wearable device determines that the wearing state of the wearable device is worn.

6. The method according to claim 1, characterized in that When the wearable device detects that the wearing state is worn, the wearable device controls the air pump to inflate the airbag, and detects the pressure of the airbag through the air pressure sensor to obtain a first pressure wave signal, including: When the wearable device detects that the wearing state is worn, the wearable device prompts the user to maintain a first posture; When the wearable device detects that the time length for which the user maintains the first posture is greater than or equal to the first time length, the wearable device controls the air pump to inflate the airbag, and detects the pressure of the airbag through the air pressure sensor to obtain a first pressure wave signal.

7. The method according to claim 6, characterized in that The wearable device controls the air pump to inflate the airbag so that before the air pressure in the airbag reaches a first air pressure value, the method further includes: The wearable device prompts the user to change from the first posture to a second posture.

8. The method according to any one of claims 1 to 7, characterized in that: When the wearable device detects that the wearing state is worn, the wearable device controls the air pump to inflate the airbag, and detects the pressure of the airbag through the air pressure sensor to obtain a first pressure wave signal, including: When the wearable device detects that the wearing state is worn, the wearable device prompts the user to maintain a third posture; When the wearable device detects that the time duration for which the user maintains the third posture is greater than or equal to the second time duration, the wearable device controls the air pump to inflate the airbag, and detects the pressure of the airbag through the air pressure sensor to obtain a first pressure wave signal; The wearable device controls the air pump to inflate the airbag so that the air pressure in the airbag reaches a first air pressure value, including: When the wearable device detects a sleep apnea event or a blood oxygen drop event, the wearable device controls the air pump to inflate the airbag so that the air pressure in the airbag reaches a first air pressure value.

9. The method according to claim 8, characterized in that When the wearable device detects that the wearing state is worn, the wearable device controls the air pump to inflate the airbag, and detects the pressure of the airbag through the air pressure sensor to obtain a first pressure wave signal, including: When the wearable device detects that the wearing state is worn, the wearable device prompts the user to maintain a fourth posture; When the wearable device detects that the time duration for which the user maintains the fourth posture is greater than or equal to the third time duration, the wearable device controls the air pump to inflate the airbag, and detects the pressure of the airbag through the air pressure sensor to obtain a first pressure wave signal; The wearable device controls the air pump to inflate the airbag so that before the air pressure in the airbag reaches a first air pressure value, the method further includes: The wearable device receives a meal start time and a meal end time input by a user.

10. The method according to claim 7, characterized in that The first posture is a lying posture, and the second posture is a standing posture.

11. The method according to claim 9, characterized in that The third posture is a lying posture, and the fourth posture is a sitting posture.

12. The method according to any one of claims 1 to 11, characterized in that: The wearable device determines a blood pressure measurement result based on the first air pressure value, the first pressure wave signal, and the first blood pressure value, specifically including: The wearable device determines a first ratio value based on the first blood pressure value and the first pressure wave signal; The wearable device determines a blood pressure measurement result based on the first air pressure value and the first ratio value.

13. The method according to claim 12, characterized in that The first blood pressure value includes a first diastolic pressure and a first systolic pressure, and the wearable device determines a first ratio value based on the first blood pressure value and the first pressure wave signal, specifically including: The wearable device determines a first blood pressure DC component and a first blood pressure AC component based on the first diastolic pressure and the first systolic pressure; The wearable device determines a first pressure DC component and a first pressure AC component of the first pressure wave signal; The wearable device determines the first ratio value based on the first blood pressure DC component, the first blood pressure AC component, and the first pressure DC component and the first pressure AC component.

14. The method according to claim 13, characterized in that The first blood pressure AC component is the difference between the first systolic pressure and the first diastolic pressure; The first blood pressure DC component is the sum of a first value and the first diastolic pressure, and the first value is equal to the first coefficient multiplied by the first blood pressure AC component.

15. The method according to claim 14, characterized in that The first ratio value is equal to the first superposition value divided by the second superposition value, the first superposition value is equal to the superposition of the first pressure DC component and the first pressure AC component, and the second superposition value is equal to the superposition of the first blood pressure DC component and the first blood pressure AC component.

16. The method according to claim 13, characterized in that The wearable device determines a blood pressure measurement result based on the first air pressure value and the first ratio value, including: The wearable device determines a second pressure DC component and a second pressure AC component based on the first air pressure value; The wearable device determines the second blood pressure DC component and the second blood pressure AC component based on the second pressure DC component, the second pressure AC component and the first ratio value; The wearable device determines a second systolic pressure and a second diastolic pressure based on the second blood pressure DC component and the second blood pressure AC component.

17. According to the method of claim 16, the first systolic pressure and the first diastolic pressure are blood pressure measurement results of the first user measured by the wearable device within a third time period; the second systolic pressure and the second diastolic pressure are blood pressure measurement results of the first user measured by the wearable device within a fourth time period, and the fourth time period is a time period after the third time period.

18. The method according to claim 13, characterized in that The wearable device further includes a wearable component. After the wearable device determines a first pressure DC component and a first pressure AC component of the first pressure wave signal, the method further includes: The wearable device determines a second ratio value between the first pressure AC component and the first blood pressure AC component; The wearable device determines a third proportional value between a first external force and the first blood pressure DC component, where the first external force is a force applied by the wearable component to the airbag within a first time period.

19. The method according to claim 18, characterized in that After the wearable device controls the air pump to inflate the airbag so that the air pressure in the airbag reaches a first air pressure value, the method further includes: The wearable device determines a blood pressure measurement result based on the first air pressure value, the second ratio value, and the third ratio value.

20. The method according to claim 19, characterized in that The wearable device determines a blood pressure measurement result based on the first air pressure value, the second ratio value, and the third ratio value, including: The wearable device determines the second pressure AC component based on the first air pressure value; The wearable device determines a third blood pressure AC component based on the second pressure AC component and the second ratio value; The wearable device determines a third blood pressure DC component based on the second ratio value and the second external force, where the second external force is a force applied by the wearable component to the airbag in a second time period; The wearable device determines the blood pressure measurement result based on the third blood pressure AC component and the third blood pressure DC component.

21. The method according to claim 20, characterized in that The third blood pressure AC component is equal to the second proportional value multiplied by the second pressure AC component; the third blood pressure DC component is equal to the third proportional value multiplied by the second external force.

22. The method according to claim 1, characterized in that The wearable device controls the air pump to inflate the airbag, and detects the pressure of the airbag through the air pressure sensor, and after obtaining the first pressure wave signal, the method further includes: The wearable device filters out a first pulse wave oscillation signal from the first pressure wave signal; The wearable device determines a plurality of waveform features in the first pulse oscillation signal.

23. The method according to claim 22, characterized in that After the wearable device controls the air pump to inflate the airbag so that the air pressure in the airbag reaches a first air pressure value, the method further includes: The air pressure sensor in the wearable device detects the pressure of the airbag from the start of inflation to the air pressure in the airbag reaching the first air pressure value, and obtains a second pressure wave signal; The wearable device filters out a second pulse oscillation wave signal from the second pressure wave signal; The wearable device determines a plurality of waveform features in the second pulse oscillation wave signal; The wearable device determines a blood pressure measurement result based on a plurality of waveform features in the first pulse oscillation signal and a plurality of waveform features in the second pulse oscillation wave signal.

24. The method according to claim 23, characterized in that The plurality of waveform features in the first pulse oscillation signal include a first waveform feature, a second waveform feature, and a third waveform feature, wherein the first waveform feature is any one of a main wave peak amplitude, a main wave trough amplitude, a dicrotic wave peak amplitude, a dicrotic wave trough amplitude, a difference between a main wave peak amplitude and a main wave trough amplitude, and a difference between a dicrotic wave peak amplitude and a dicrotic wave trough amplitude corresponding to a second air pressure value in the first pulse oscillation signal; The plurality of waveform features in the second pulse oscillation wave signal include a fourth waveform feature, a fifth waveform feature, and a sixth waveform feature.

25. The method according to claim 24, characterized in that The first waveform feature is the difference between the main wave peak amplitude and the main wave trough amplitude corresponding to the second air pressure value in the first pulse oscillation signal, the second waveform feature is the difference between the main wave peak amplitude and the main wave trough amplitude corresponding to the third air pressure value in the first pulse oscillation signal, and the third waveform feature is the difference between the main wave peak amplitude and the main wave trough amplitude corresponding to the fourth air pressure value in the first pulse oscillation signal; the second air pressure value is less than the third air pressure value, and the third air pressure value is less than the fourth air pressure value; The fourth waveform feature is the difference between the main wave peak amplitude and the main wave trough amplitude corresponding to the second air pressure value in the second pulse oscillation signal, the fifth waveform feature is the difference between the main wave peak amplitude and the main wave trough amplitude corresponding to the third air pressure value in the second pulse oscillation signal, and the sixth waveform feature is the difference between the main wave peak amplitude and the main wave trough amplitude corresponding to the fourth air pressure value in the second pulse oscillation signal.

26. The method according to claim 25, characterized in that The wearable device determines a blood pressure measurement result based on a plurality of waveform features in the first pulse oscillation signal and a plurality of waveform features in the second pulse oscillation wave signal, including: The wearable device determines a blood pressure measurement result based on the first waveform feature, the second waveform feature, the third waveform feature, the fourth waveform feature, the fifth waveform feature, and the sixth waveform feature.

27. The method according to claim 26, characterized in that The wearable device determines a blood pressure measurement result based on the first waveform feature, the second waveform feature, the third waveform feature, the fourth waveform feature, the fifth waveform feature, and the sixth waveform feature, including: The wearable device determines a first slope between the first waveform feature, the second waveform feature, and the third waveform feature; The wearable device determines a second slope between the fourth waveform feature, the fifth waveform feature, and the sixth waveform feature; The wearable device determines a blood pressure measurement result based on the first slope and the second slope, and a first diastolic pressure and a first systolic pressure of the user determined from the first pulse oscillation wave signal.

28. A wearable device, characterized in that: The wearable device includes an airbag, an air pump, an air pressure sensor, a memory, and a signal processing unit; wherein the air pump, the air pressure sensor, and the memory are coupled to the signal processing unit, the airbag is coupled to the air pump, and the memory is used to store a computer program. When the signal processing unit executes and calls the computer program, the wearable device executes the method described in any one of claims 1-27.

29. A computer-readable storage medium comprising instructions, characterized in that: When the instruction is executed on the wearable device, the wearable device executes the method according to any one of claims 1 to 27.

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