Blood pressure measurement method, wearable device, and storage medium

Abstract

A blood pressure measurement method applied to a wearable device, a wearable device applying the blood pressure measurement method, and a storage medium. The wearable device (100) comprises a blood pressure measurement apparatus (213), and the blood pressure measurement apparatus (213) comprises an air bag (213G). Within a first time period, the wearable device (100) inflates the air bag (213G) and acquires a first pulse wave signal, and within the first time period, the air pressure in the air bag (213G) gradually increases over time, wherein the first pulse wave signal is used for acquiring a first blood pressure measurement value. Within a second time period, the wearable device inflates the air bag (213G) and acquires a second pulse wave signal, and within the second time period, the air pressure in the air bag (213G) remains unchanged or the air pressure in the air bag (213G) fluctuates within a first range, wherein the second pulse wave signal is used for evaluating cardiovascular risk. The wearable device (100) outputs the first blood pressure measurement value and the cardiovascular risk. By means of the method, the wearable device (100) can not only acquire peripheral arterial blood pressure values but also monitor the user's cardiovascular disease risk, preventing the occurrence of cardiovascular disease.

Description

A blood pressure measurement method, wearable device and storage medium

[0001] This application claims priority to the Chinese patent application with application number 202311444031.1 filed with the State Intellectual Property Office of China on October 31, 2023, and priority to the Chinese patent application with the invention name “A blood pressure measurement method, wearable device and storage medium”, all contents of which are incorporated by reference into this application. Technical Field

[0002] The present application relates to the field of wearable technology, and in particular to a blood pressure measurement method, a wearable device, and a storage medium. Background Art

[0003] With the improvement of living standards, people's physical health has received more and more attention, and cardiovascular diseases among users have become more and more common. Cardiovascular disease is one of the primary factors leading to an increased risk of death. Studies have found that hypertension is also one of the risk factors for cardiovascular disease among residents. Monitoring blood pressure and predicting cardiovascular risks are of great significance.

[0004] For convenient blood pressure monitoring, wrist-mounted ambulatory blood pressure monitors (ABPMs) are comfortable to wear, saving time and effort. They can monitor a user's blood pressure over a 24-hour period. They can measure blood pressure using an oscillometric method. For example, a wrist-mounted ambulatory blood pressure monitor linearly increases pressure and inflates the air, blocking arterial blood flow. This creates oscillation waves at varying pressures, allowing the user to determine information such as systolic and diastolic blood pressure. However, ABPMs cannot predict one or more cardiovascular risk factors, such as heart rate, vascular wall elasticity, cardiac ejection capacity, and peripheral vascular resistance. Further research is needed to determine how to simultaneously monitor blood pressure and predict cardiovascular risk using ABPMs.

[0005] Summary of the Invention

[0006] The present application provides a blood pressure measurement method, a wearable device, and a storage medium, which enable the wearable device to obtain not only the peripheral arterial blood pressure value but also the central arterial pulse wave signal, and monitor the user's cardiovascular disease risk based on the central arterial pulse wave signal to prevent the occurrence of cardiovascular disease.

[0007] In a first aspect, the present application provides a blood pressure measurement method, which is applied to a wearable device, the wearable device including a blood pressure measuring device, the blood pressure measuring device including an airbag, the method including: within a first time period, the wearable device inflates the airbag and obtains a first pulse wave signal, the air pressure in the airbag gradually increases with time during the first time period, wherein the first pulse wave signal is used to obtain a first blood pressure measurement value; within a second time period, the wearable device inflates the airbag and obtains a second pulse wave signal, the air pressure in the airbag remains unchanged during the second time period or the air pressure in the airbag fluctuates within a first range, wherein the second pulse wave signal is used to assess cardiovascular risk; the wearable device outputs the first blood pressure measurement value and cardiovascular risk.

[0008] The first blood pressure measurement value may be a blood pressure value measured by the wearable device at the location where the wearable device is worn. For example, when the wearable device is worn on the user's wrist, the first blood pressure measurement value may be the blood pressure value at the user's wrist.

[0009] The wearable device outputs the first blood pressure measurement value and cardiovascular risk, which may include the wearable device displaying the first blood pressure measurement value and cardiovascular risk, or playing the first blood pressure measurement value and cardiovascular risk by voice, or sending the first blood pressure measurement value and cardiovascular risk to other devices for display.

[0010] Through this method, wearable devices can not only obtain peripheral arterial blood pressure values, but also monitor the user's cardiovascular disease risk and prevent the occurrence of cardiovascular disease.

[0011] In combination with the first aspect, in a possible implementation, the method also includes: the wearable device obtains a third pulse wave signal based on the second pulse wave signal and the first target model; and the wearable device obtains a second blood pressure measurement value based on the first blood pressure measurement value and the third pulse wave signal.

[0012] The first blood pressure measurement value may be a central arterial blood pressure value. Central arterial blood pressure refers to the blood pressure in the aorta, which directly affects the heart and other organs. Because the aorta is closer to the heart and brain, central arterial blood pressure values ​​are more valuable than peripheral arterial blood pressure values ​​for assessing a user's blood pressure risk.

[0013] Through this method, the wearable device can obtain the central arterial blood pressure value while obtaining the peripheral arterial blood pressure value.

[0014] In combination with the first aspect, in one possible implementation, cardiovascular risk includes any one or more of the following: heart rate, vascular wall elasticity, cardiac ejection capacity, and peripheral vascular resistance.

[0015] In combination with the first aspect, in a possible implementation, before the wearable device obtains the first blood pressure measurement value based on the first pulse wave signal, the method also includes: within a third time period, the wearable device inflates the airbag and obtains a fourth pulse wave signal, and the air pressure in the airbag gradually increases with time within the third time period; the wearable device splices the first pulse wave signal and the fourth pulse wave signal in chronological order to obtain a fifth pulse wave signal, wherein the fifth pulse wave signal is used to obtain the first blood pressure measurement value.

[0016] Optionally, the wearable device may obtain a first blood pressure measurement value based on the fifth pulse wave signal and the airbag pressure signals corresponding to the first time period and the third time period.

[0017] Blood pressure measurement by a wearable device involves a complete inflation-deflation process. During this process, the wearable device can obtain pulse wave signals from multiple linearly increasing pressure segments. The wearable device can then splice these pulse wave signals from multiple linearly increasing pressure segments into a complete pulse wave signal and obtain a first blood pressure measurement value based on the complete pulse wave signal.

[0018] In combination with the first aspect, in a possible implementation, before the wearable device outputs the first blood pressure measurement value and cardiovascular risk, the method also includes: within a fourth time period, the wearable device inflates the airbag and obtains a sixth pulse wave signal, and the air pressure in the airbag remains unchanged or the air pressure in the airbag fluctuates within the first range during the fourth time period; the wearable device obtains a second pulse wave signal, specifically including: the wearable device filters out the second pulse wave signal with a better signal from the second pulse wave signal and the sixth pulse wave signal.

[0019] Optionally, the wearable device may obtain a third pulse wave signal based on the second pulse wave signal and the first target model; and the wearable device may obtain parameter information for assessing cardiovascular risk based on the third pulse wave signal.

[0020] Wearable devices measure blood pressure through a complete inflation-deflation process. During this process, the wearable device can obtain pulse wave signals in multiple constant pressure control segments.

[0021] In one possible implementation, a wearable device can screen pulse wave signals from multiple constant-voltage control segments to obtain a better pulse wave signal, and then obtain a central pulse wave signal based on the pulse wave signal. Cardiovascular risk can then be assessed based on the central pulse wave signal.

[0022] In another possible implementation, the wearable device can obtain a central pulse wave signal based on the pulse wave signal in each constant pressure control segment. Cardiovascular risk is then assessed based on each central pulse wave signal. Finally, the multiple cardiovascular risk values ​​are averaged to obtain a final cardiovascular risk estimate.

[0023] In combination with the first aspect, in a possible implementation, the blood pressure measuring device also includes a driving circuit, a micropump and an air pressure sensor, the driving circuit is used to control the inflation rate of the micropump into the airbag, the air pressure sensor is used to obtain the arterial pulse wave signal, and the deflation rate of the micropump is a first deflation rate; the wearable device inflates the airbag and obtains the first pulse wave signal, specifically including: the wearable device controls the driving circuit to a first duty cycle, controls the micropump through the driving circuit to inflate the airbag at a first inflation rate, and obtains the first pulse wave signal through the air pressure sensor, wherein the first inflation rate is greater than the first deflation rate.

[0024] In combination with the first aspect, in one possible implementation, the wearable device inflates the airbag and obtains a second pulse wave signal, specifically including: the wearable device controls the driving circuit to a second duty cycle, controls the micropump through the driving circuit to inflate the airbag at a second inflation rate, and obtains the second pulse wave signal through the air pressure sensor, wherein the second duty cycle is less than the first duty cycle, the second inflation rate is less than the first inflation rate, and the second inflation rate is equal to the first deflation rate.

[0025] In combination with the first aspect, in a possible implementation, the blood pressure measurement device further includes an air valve, which is used to discharge the gas in the airbag; in the process of the wearable device acquiring the first pulse wave signal and the second pulse wave signal, the method further includes: the wearable device closing the air valve.

[0026] In some embodiments, the wearable device can control the increase and constancy of the air pressure in the airbag by adjusting the inflation speed of the micropump to obtain the first blood pressure measurement value and cardiovascular risk.

[0027] In conjunction with the first aspect, in one possible implementation, the blood pressure measurement device further includes a drive circuit, a micropump, an air pressure sensor, and an air valve. The drive circuit is used to control the inflation rate of the micropump into the airbag. The air pressure sensor is used to obtain an arterial pulse wave signal. The air valve is used to discharge gas from the airbag. The deflation rate of the micropump is a first deflation rate. The wearable device inflates the airbag and obtains the first pulse wave signal, specifically including:

[0028] The wearable device controls the driving circuit to a first duty cycle, controls the micropump through the driving circuit to inflate the airbag at a first inflation rate, closes the air valve, and obtains a first pulse wave signal through the air pressure sensor, wherein the first inflation rate is greater than the first deflation rate.

[0029] In combination with the first aspect, in one possible implementation, the wearable device inflates the airbag and obtains a second pulse wave signal, specifically including: the wearable device controls the driving circuit to a first duty cycle, controls the micropump through the driving circuit to inflate the airbag at a first inflation rate, opens the air valve and discharges the gas in the airbag through the air valve at a second deflation rate, wherein the first inflation rate is equal to the sum of the first deflation rate and the second deflation rate.

[0030] In some embodiments, the wearable device can adjust the inflation speed of the micropump to remain constant and control the deflation speed of the air valve to increase and maintain the air pressure in the airbag constant, so as to obtain the first blood pressure measurement value and cardiovascular risk.

[0031] In combination with the first aspect, in a possible implementation, after the wearable device obtains the first pulse wave signal and the second pulse wave signal, the method further includes: the wearable device opens an air valve and discharges the gas in the airbag through the air valve.

[0032] In this way, after the blood pressure measurement is completed, the wearable device can open the valve to speed up the discharge of gas in the air bag.

[0033] In a second aspect, the present application provides a wearable device, which includes a blood pressure measuring device, a memory, and a processor; wherein the blood pressure measuring device, the memory, and the processor are coupled, 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 detection method provided in any possible implementation of any of the above aspects.

[0034] In a third aspect, the present application provides a computer-readable storage medium comprising instructions. When the instructions are run on a wearable device, the wearable device executes a blood pressure detection method provided in any possible implementation of any of the above aspects.

[0035] 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 detection method provided in any possible implementation of any of the above aspects.

[0036] In a fifth aspect, the present application provides a computer program product comprising instructions. When the computer program product is run on a wearable device, the wearable device executes a blood pressure detection method provided in any possible implementation of any of the above aspects.

[0037] 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, and this application will not repeat them here. BRIEF DESCRIPTION OF THE DRAWINGS

[0038] FIG1 shows a schematic diagram of a user wearing a wearable device 100;

[0039] FIG2 shows a schematic diagram of the structure of the wearable device 100;

[0040] FIG3 shows a schematic diagram of the hardware structure of the wearable device 100;

[0041] FIG4 shows a schematic diagram of the structure of a blood pressure measurement device 213 provided in the present application;

[0042] FIG5 is a schematic diagram of the structure of an air bag, an air pump, and an air path conducting assembly provided in an embodiment of the present application;

[0043] FIG6 is a schematic diagram showing five linear boost sections and four constant voltage control sections acquired by the wearable device 100;

[0044] FIG7 shows a schematic diagram of the duty cycle corresponding to the driving circuit 213B in the linear boost section and the constant voltage control section;

[0045] FIG8 is a schematic diagram showing the average pressure increase rate in the airbag 213G during the linear pressure increase section and the constant pressure control section;

[0046] FIG9 is a flow chart showing a method for the wearable device 100 to obtain N linear boost sections and N constant voltage control sections;

[0047] FIG10 shows a schematic diagram of the duty cycle corresponding to the driving circuit 213B in the linear boost section and the constant voltage control section;

[0048] FIG11 shows the average pressure increase rate in the airbag 213G during the linear pressure increase section and the constant pressure control section;

[0049] FIG12 is a flow chart showing another method for the wearable device 100 to obtain N linear boost sections and N constant voltage control sections;

[0050] 13-14 are schematic diagrams showing a method of obtaining a complete peripheral arterial pulse wave signal;

[0051] FIG15 is a schematic diagram of how to obtain a peripheral arterial blood pressure value according to an embodiment of the present application;

[0052] 16-17 are schematic diagrams showing a method of obtaining a central artery pulse wave signal;

[0053] FIG18 is a schematic diagram showing a central artery pulse wave signal acquired within one cycle;

[0054] FIG19 is a schematic diagram showing the acquisition of peripheral arterial pulse wave signals by a PPG module;

[0055] 20A-20B show a set of schematic diagrams;

[0056] 21A-21C are schematic diagrams showing the wearable device 100 displaying blood pressure measurement values ​​and parameter information for assessing cardiovascular disease;

[0057] FIG22 is a flow chart of a blood pressure measurement method provided in this application. DETAILED DESCRIPTION

[0058] The following is a clear and detailed description of the technical solutions in the embodiments of the present application in conjunction with the accompanying drawings. In the description of the embodiments of the present application, unless otherwise specified, " / " means or, for example, A / B can mean A or B; "and / or" in the text is only a description of the association relationship between related objects, indicating that there can be three relationships, for example, A and / or B can mean: A exists alone, A and B exist at the same time, and B exists alone. In addition, in the description of the embodiments of the present application, "multiple" means two or more than two.

[0059] In the following, the terms "first" and "second" are used for descriptive purposes only and should not be understood to imply or suggest relative importance or implicitly indicate the number of the technical features indicated. Therefore, the features defined as "first" and "second" may explicitly or implicitly include one or more of the features. In the description of the embodiments of this application, unless otherwise specified, "plurality" means two or more.

[0060] The term "user interface (UI)" in the following embodiments of this application refers to the media 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. A common form of user interface is a graphical user interface (GUI), which refers to a user interface related to computer operations that is 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 an electronic device.

[0061] With the development of electronic technology, the functions of wearable devices are constantly improving. For example, wearable devices such as wristbands and watches can provide blood pressure measurement functions, helping users to measure their blood pressure anytime and anywhere and understand their physical condition.

[0062] The present application can measure blood pressure using the oscillometric method and the upper air method. While obtaining the peripheral arterial blood pressure value, the wearable device 100 can also add one or more constant pressure control segments, and the air pressure in the airbag within the constant pressure control segment remains unchanged. The wearable device 100 can obtain the peripheral arterial pulse wave signal within the one or more constant pressure control segments, and obtain the central arterial pulse wave signal based on the peripheral arterial pulse wave signal within the one or more constant pressure control segments. The wearable device 100 can perform feature analysis on the central arterial pulse wave signal to obtain parameter information for assessing cardiovascular risk. The parameter information used to assess cardiovascular risk includes, but is not limited to, heart rate, vascular wall elasticity, cardiac ejection capacity, peripheral vascular resistance, etc.

[0063] In some embodiments, the peripheral arterial pulse wave signal may also be referred to as a peripheral pulse wave signal, and the central arterial pulse wave signal may also be referred to as a central pulse wave signal.

[0064] It should be noted that the air pressure in the airbag within the constant pressure control section can remain constant or fluctuate within a certain range. For example, when the air pressure at the constant pressure control point is 90 mmHg, the air pressure in the airbag within the constant pressure control section can fluctuate within the range of 85 mmHg-95 mmHg.

[0065] In some embodiments, the wearable device can also obtain a central arterial blood pressure value based on the peripheral arterial blood pressure value and the central arterial pulse wave signal. The central arterial blood pressure value can better reflect the user's actual blood pressure value.

[0066] Among them, the oscillometric method-up-gas method can refer to obtaining the continuous change of arterial pressure with inflation pressure through linear pressure increase, realizing blood pressure measurement by blocking arterial blood flow, and calculating peripheral arterial blood pressure value and other data.

[0067] The peripheral arterial blood pressure value may include peripheral arterial systolic pressure, peripheral arterial diastolic pressure, and peripheral arterial mean pressure. The peripheral arterial blood pressure value may be the blood pressure value at the wearing location detected by the wearable device 100. For example, if the wearable device 100 is worn on the user's wrist, the peripheral arterial blood pressure value may be the blood pressure value at the wrist detected by the wearable device 100.

[0068] Central blood pressure values ​​include central systolic pressure, central diastolic pressure, and central mean pressure. Central blood pressure refers to the blood pressure in the aorta, which directly affects the heart and other organs. Because the aorta is closer to the heart and brain, central blood pressure values ​​are more valuable than peripheral blood pressure values ​​for assessing a user's blood pressure risk.

[0069] Through this method, the wearable device 100 can not only measure the user's central arterial blood pressure value, thereby improving the accuracy of blood pressure measurement, but also obtain a central arterial pulse wave signal, and monitor the user's cardiovascular disease risk based on the central arterial pulse wave signal to prevent the occurrence of cardiovascular disease.

[0070] Next, a wearable device 100 provided in this application for measuring blood pressure is introduced.

[0071] FIG1 shows a schematic diagram of a user wearing a wearable device 100 .

[0072] As shown in FIG1 , a user may wear the wearable device 100 on the user's wrist.

[0073] FIG2 shows a schematic diagram of the structure of the wearable device 100 .

[0074] As shown in FIG. 2 , the wearable device 100 may include a watch body 201 and a wearable component 202 .

[0075] The watch body 201 is provided with a motion sensor, such as a gyroscope sensor and an acceleration sensor. The motion sensor is used to collect motion data and determine the user state based on the motion state obtained by analyzing the motion data.

[0076] The watch body 201 may include a display screen 203. The display screen 203 may be used to display content such as the time, the battery level of the watch body 201, a Bluetooth identifier, received messages, and user motion data. The display screen 203 may be used to receive user click operations to illuminate the display screen, start and end motion modes, and the like. The display screen 203 may also record the user's steps and calories burned, and provide basic functions such as incoming call reminders and message notifications. In one possible implementation, the watch body 201 may establish a wireless communication connection with the wearable device 100 via Bluetooth. The watch body 201 may send the user's motion data to the connected wearable device 100. Furthermore, when the wearable device 100 receives an incoming call or message notification, the watch body 201 may receive instructions from the mobile phone to remind the user of the incoming call or message notification.

[0077] Wearable component 202 is used to mount watch body 201. For example, wearable component 202 can be a wristband or watch strap. Wearable component 202 is a device that allows watch body 201 to be attached to the user's wrist. When wearable device 100 is attached to the user's wrist, the inertial sensor can collect wrist motion data to monitor wrist movement and determine the user's posture.

[0078] When the wearable device 100 starts to measure blood pressure, the wearable device 100 can control the wearable component 202 to contract and then relax to measure the user's blood pressure.

[0079] In some embodiments, the process of measuring blood pressure by the wearable device 100 may include: first, the wearable device 100 inflates the wearable component 202 to temporarily occlude the arm artery; then, while slowly deflating the air, the wearable device 100 records the air pressure value of the wearable component 202 and the pulse signal generated by the pulse; finally, the user's blood pressure is determined based on the air pressure value of the wearable component 202 and the amplitude or envelope of the pulse signal. Blood flow exerts lateral pressure on the blood vessel wall, and changes in the magnitude of the lateral pressure cause the blood vessel wall to vibrate slightly. The pulse signal is a signal generated by this slight vibration of the blood vessel wall. Determining the user's blood pressure based on the air pressure value of the wearable component 202 and the amplitude or envelope of the pulse signal is also known as the oscillometric method.

[0080] In other embodiments, the process of measuring blood pressure by the wearable device 100 may include: the wearable device 100 may gradually inflate the wearable component 202 so that the arm artery is completely blocked by the component, record the air pressure value of the wearable component 202 and the pulse signal generated by the pulse, then determine the user's blood pressure based on the air pressure value of the wearable component 202 and the amplitude or envelope of the pulse signal, and finally deflate. Among them, blood flow will generate lateral pressure on the blood vessel wall, and the change in the magnitude of the lateral pressure will cause the blood vessel wall to vibrate slightly. The pulse signal is a signal generated by the slight vibration of the blood vessel wall. Among them, determining the user's blood pressure based on the air pressure value of the wearable component 202 and the amplitude or envelope of the pulse signal is also called the oscillometric method.

[0081] FIG3 shows a schematic diagram of the hardware structure of the wearable device 100 .

[0082] As shown in FIG3 , the wearable device can be a wearable device such as a bracelet, a watch, etc., and the wearable device 100 can also be a non-wearable device such as a wall-type blood pressure monitor. The embodiment of the present application does not impose any special restrictions on the specific type of the wearable device. The embodiment of the present application is only described by taking the wearable device 100 as a watch as an example.

[0083] Wearable device 100 may include: processor 200, wireless communication module 201, mobile communication module 202, sensor module 203, button 204, display 205, motor 206, internal memory 207, SIM card interface 208, USB interface 209, power management module 210, battery 211, charging management module 212, and blood pressure measurement device 213. Sensor module 203 may include touch sensor 203A, magnetic sensor 203B, photoplethysmography (PPG) sensor 203C, and motion sensor 203D. Airbag 213G has similar functions to wearable component 202.

[0084] It is understood that the structures illustrated in the embodiments of the present invention do not constitute specific limitations on wearable devices. In other embodiments of the present application, the wearable device may include more or fewer components than shown, or combine or separate certain components, or arrange the components differently. The illustrated components may be implemented in hardware, software, or a combination of software and hardware.

[0085] 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 processing unit (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). The different processing units may be independent devices or integrated into one or more processors.

[0086] In some embodiments, the processor 200 may include one or more interfaces. The interfaces 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.

[0087] In some embodiments, the processor 200 may also be a microprocessor unit (MCU).

[0088] The I2C interface is a bidirectional synchronous serial bus that includes a serial data line (SDA) and a serial clock line (SCL). In some embodiments, the processor 200 may include multiple I2C bus lines. The processor 200 may be coupled to the touch sensor 203A, the power management module 210, and the like via different I2C bus interfaces. For example, the processor 200 may be coupled to the touch sensor 203A via the I2C interface, enabling communication between the processor 200 and the touch sensor 203A via the I2C bus interface, thereby enabling touch functionality in the wearable device.

[0089] 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 used for asynchronous communication. This 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 typically used to connect the processor 200 and the wireless communication module 201. For example, the processor 200 communicates with the Bluetooth module in the wireless communication module 201 via the UART interface to implement Bluetooth functionality.

[0090] The MIPI interface can be used to connect the processor 200 to peripheral devices such as the display 205. MIPI interfaces include the camera serial interface (CSI) and the display serial interface (DSI). The processor 200 and the display 205 communicate via the DSI interface to implement the display function of the wearable device.

[0091] The GPIO interface is software-configurable. It can be configured as either a control signal or a data signal. The USB interface 209 complies with USB standards and may be a Mini USB interface, a Micro USB interface, or a USB Type-C interface. The USB interface 209 can be used to connect a charger to charge the wearable device and to transfer data between the wearable device and peripheral devices.

[0092] It is understood that the interface connection relationship between the modules illustrated in the embodiments 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 a different interface connection method from the above embodiments, or a combination of multiple interface connection methods.

[0093] The charging management module 212 is configured to receive charging input from a charger. The charger can be either 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 via the USB interface 209. In some wireless charging embodiments, the charging management module 212 can receive wireless charging input via the wearable device's wireless charging coil. While charging the battery 211, the charging management module 212 can also provide power to the wearable device via the power management module 210.

[0094] 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 provides power to the processor 200, the internal memory 207, the display 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 count, and battery health status (leakage, impedance). In some other embodiments, the power management module 210 can also be provided in the processor 200. In other embodiments, the power management module 210 and the charging management module 212 can also be provided in the same device.

[0095] 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.

[0096] The mobile communication module 202 can provide solutions for wireless communications including 2G / 3G / 4G / 5G, etc., 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 the antenna, filter, amplify, and process the received electromagnetic waves, and transmit them to the modulation and demodulation processor for demodulation. In some embodiments, at least some of the functional modules of the mobile communication module 202 can be set in the processor 200. In some embodiments, at least some of the functional modules of the mobile communication module 202 can be set in the same device as at least some of the modules of the processor 200.

[0097] The wireless communication module 201 can provide wireless communication solutions for wearable devices, 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. The wireless communication module 201 can be one or more devices that integrate at least one communication processing module. The wireless communication module 201 receives electromagnetic waves via an antenna, frequency modulates and filters the electromagnetic wave signals, and sends the processed signals to the processor 200. The wireless communication module 201 can also receive signals to be sent from the processor 200, frequency modulate them, amplify them, and convert them into electromagnetic waves for radiation through the antenna.

[0098] Keys 204 include a power button, a volume button, and the like. Keys 204 may be mechanical keys or touch-sensitive keys. The wearable device may receive key inputs and generate key signal inputs related to user settings and function control of the wearable device.

[0099] Display screen 205 is used to display images, videos, etc. 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 (AMOLED), a flexible light-emitting diode (FLED), a quantum dot light-emitting diode (QLED), etc. In some embodiments, the wearable device may include one or N display screens 205, where N is a positive integer greater than 1.

[0100] Motor 206 can generate vibration alerts. Motor 206 can be used for incoming call vibration alerts and touch vibration feedback. For example, touch operations on different applications (such as taking photos, playing audio, etc.) can correspond to different vibration feedback effects. Motor 206 can also correspond to different vibration feedback effects for touch operations on different areas of display screen 205.

[0101] The internal memory 207 may include one or more random access memories (RAM) and one or more non-volatile memories (NVM).

[0102] 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 of DDR SDRAM is generally referred to as DDR5 SDRAM), etc.

[0103] Non-volatile memory may include disk storage devices and flash memory. Flash memory may include NOR FLASH, NAND FLASH, 3D NAND FLASH, etc. according to the operating principle. It may include single-level cell (SLC), multi-level cell (MLC), triple-level cell (TLC), quad-level cell (QLC), etc. according to the storage cell potential level. It may include universal flash storage (UFS), embedded multi-media card (eMMC), etc. according to the storage specification. Random access memory can be directly read and written by the processor 200. It 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. Non-volatile memory can also store executable programs and 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.

[0104] The SIM card interface 208 is used to connect a SIM card. The SIM card can be connected to or separated from the wearable device by inserting it into or removing it 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, etc. 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 achieve 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.

[0105] In some embodiments, the wearable device 100 may not include the SIM card interface 208 .

[0106] Touch sensor 203A, also known as a "touch-sensitive device," can be disposed on display screen 205. Touch sensor 203A and display screen 205 form a touch screen, also known as a "touch screen." Touch sensor 203A is used to detect touch operations applied thereto or in the vicinity thereof. The touch sensor can transmit the detected touch operations to an application processor to determine the type of touch event. Visual output related to the touch operations can be provided via display screen 205. In other embodiments, touch sensor 203A can also be disposed on the surface of the wearable device, at a location different from that of display screen 205.

[0107] The magnetic sensor 203B includes a Hall sensor.

[0108] The PPG sensor 203C user obtains the user's health data based on the PPG signal collected by the PPG sensor 203C. The user's health data includes but is not limited to: heart rate, blood oxygen, respiratory rate, blood oxygen saturation (SaO2), etc.

[0109] The motion sensor 203D includes but is not limited to an acceleration sensor and an angular velocity sensor. The motion sensor 203D 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.

[0110] It is worth noting that the sensor module 203 may also include an infrared sensor and the like.

[0111] The blood pressure measuring device 213 can be used to measure blood pressure. For an introduction to the blood pressure measuring device 213, please refer to the description in the embodiment of FIG4 .

[0112] It should be noted that the wearable device 100 may include more or fewer hardware structures than those shown in FIG3 . The embodiment in FIG3 is only an example and is not limited in this application.

[0113] Referring to FIG. 4 , FIG. 4 shows a schematic structural diagram of a blood pressure measurement device 213 provided in the present application.

[0114] As shown in FIG4 , the blood pressure measurement device 213 may include but is not limited to a micro controller unit (MCU) 213A, a driving circuit 213B, a micro pump 213C, an air valve 213D, an air pressure sensor 213E, an air path conducting component 213F, and an air bag 213G.

[0115] The drive circuit 213B is connected to the microcontroller unit 213A, and the air pressure sensor 213E is also connected to the microcontroller unit 213A. The microcontroller unit 213A is used to control the drive circuit 213B to adjust the voltage of the drive circuit 213B based on the airbag pressure obtained by the air pressure sensor 213E, so that the drive circuit 213B can control the micropump 213C to inflate the airbag 213G and control the air valve 213D to exhaust the air in the airbag 213G.

[0116] The air pressure sensor 213E is used to measure air pressure. In some embodiments of the present application, the wearable device uses the air pressure sensor 213E to measure the air pressure in the airbag 213G. In some embodiments of the present application, a portion of the air pressure sensor 213E is located inside the airbag 213G to sense the air pressure in the airbag 213G.

[0117] In some embodiments of the present application, the air pressure sensor 213E and the airbag 213G may be connected via an air path conducting component 213F.

[0118] The micro pump 213C and the air valve 213D are connected to the driving circuit 213B. The driving circuit 213B can control the micro pump 213C to inflate the air bag 213G, and the driving circuit 213B can also control the air valve 213D to discharge the air in the air bag 213G.

[0119] The micro pump 213C is used for inflation and deflation.

[0120] In some embodiments of the present application, the wearable device 100 inflates the airbag 213G via a micropump 213C. The micropump 213C and the airbag 213G may be connected via an air passage assembly 213F. The airbag 213G is used to squeeze the user's blood vessels, similar to the function of a cuff in a traditional blood pressure measurement device.

[0121] In some embodiments of the present application, the wearable device 100 can discharge the gas in the airbag 213G through the air valve 213D, wherein the air valve 213D and the airbag 213G can be connected through the air path conductive component 213F. In other embodiments, the wearable device 100 may not include the air valve 213D, and this application is not limited to this.

[0122] It is worth noting that the air path conducting component 213F can be a separate component, or the air path conducting component 213F can also be an air path formed by the combination of other hardware modules, or the air path conducting component 213F can also be a part of other components, for example, it can be a part of the micro pump 213C, or it can be a part of the air bag 213G.

[0123] As shown in Figure 5, when the wearable device 100 is a watch, the airbag 213G is attached to the body-facing side of the wearable component 202. The micropump 213C is connected to the airbag 213G via an air channel assembly 213F. The airbag 213G can be attached to only one side of the wearable component 202, which can be located above an artery on the user's wrist, such as the radial artery.

[0124] The airbag 213G can be located inside the body of the smartwatch, can be connected to the watchband buckle, and can be connected to the dial through the air hole cover. Correspondingly, the airbag 213G can be separated from the watchband or the dial.

[0125] In some embodiments of the present application, a magnetic sensor 203B is provided on the wearable device 100. The magnetic sensor 203B can be used to determine whether the airbag 213G on the wearable device 100 has been removed. For example, a magnet can be provided on the airbag 213G or on a watch strap connected to the airbag 213G. The wearable device can use the magnetic sensor to determine the magnetic flux generated by the magnet on the airbag 213G or on the airbag 213G, thereby determining whether the airbag 213G on the wearable device has been removed.

[0126] It should be noted that the blood pressure measurement device 213 may include more or fewer hardware structures than those shown in FIG4 . The embodiment in FIG4 is merely an example and is not limited in this application.

[0127] In some embodiments of the present application, the wearable device 100 can set N constant pressure control points. When starting to measure blood pressure, the wearable device 100 can inflate the airbag 213G at an inflation rate v1. Since the micropump 213C also has a slight deflation, for example, the deflation rate of the airbag 213G is v2, then the pressure increase rate of the air pressure in the airbag 213G can be obtained as (v1-v2), so that the air pressure in the airbag 213G rises uniformly at the pressure increase rate (v1-v2). When reaching the first constant pressure control point P1, the wearable device 100 can control the air pressure in the airbag 213G to be P1 and remain unchanged for a first duration. After exceeding the first duration, the wearable device 100 can continue to inflate the airbag 213G at an inflation rate v1, so that the air pressure in the airbag 213G rises uniformly at the pressure increase rate (v1-v2). When the second constant pressure control point P2 is reached, the wearable device 100 can control the air pressure in the airbag 213G to be P2 and maintain it unchanged for a second duration, wherein P2 is greater than P1, and the second duration can be equal to the first duration, or the second duration can be different from the first duration. In this way, the wearable device 100 can obtain N linear boost segments and N constant pressure control segments, and obtain the peripheral arterial pulse wave signals of the N linear boost segments and the peripheral arterial pulse wave signals of the N constant pressure control segments.

[0128] The wearable device 100 can obtain a peripheral blood pressure measurement value based on the peripheral arterial pulse wave signal of the N linear boost segments and the airbag pressure waveform of the N linear boost segments.

[0129] Wearable device 100 can also derive a central arterial pulse wave signal based on the peripheral arterial pulse wave signals of the N constant pressure control segments. Wearable device 100 can perform feature analysis on the central arterial pulse wave signal to determine cardiovascular disease risk. Cardiovascular disease risks include, but are not limited to, peripheral resistance risk and arteriosclerosis risk.

[0130] In some embodiments, the wearable device can also obtain a central arterial blood pressure value based on the peripheral blood pressure measurement value and the central arterial pulse wave signal. The central arterial blood pressure value can better reflect the user's actual blood pressure value.

[0131] 1. The wearable device 100 obtains N linear boost segments and N constant voltage control segments.

[0132] This application provides two methods for obtaining N linear boost segments and N constant pressure control segments. In one method, the wearable device 100 can adjust the inflation rate of the micropump 213C to obtain N linear boost segments and N constant pressure control segments. In another method, the wearable device 100 can fix the inflation rate of the micropump 213C and adjust the deflation rate of the air valve 213D to obtain N linear boost segments and N constant pressure control segments.

[0133] Next, the two methods for obtaining N linear boost sections and N constant voltage control sections are respectively introduced in detail.

[0134] Method 1: The wearable device 100 adjusts the inflation rate of the micropump 213C to obtain N linear boost segments and N constant pressure control segments.

[0135] In method 1, the wearable device 100 uses the micropump 213C to inflate and deflate the airbag 213G. The wearable device 100 can control the micropump 213C to inflate the airbag 213G, and the wearable device 100 can also control the micropump 213C to discharge the gas in the airbag 213G. The deflation rate of the micropump 213C is fixed, for example, the deflation rate of the micropump 213C is v2.

[0136] The wearable device 100 may be pre-set with N constant pressure control points, for example, 4 constant pressure control points, each of which is 30 mmHg, 60 mmHg, 90 mmHg, and 120 mmHg. Thus, the wearable device 100 may obtain 5 linear boost sections and 4 constant pressure control sections.

[0137] FIG6 shows a schematic diagram of five linear boost sections and four constant voltage control sections acquired by the wearable device 100 .

[0138] As shown in FIG6 , the five linear boost sections may include, but are not limited to, linear boost section A, linear boost section B, linear boost section C, linear boost section D, and linear boost section E. The four constant voltage control sections may include, but are not limited to, constant voltage control section A, constant voltage control section B, constant voltage control section C, and constant voltage control section D.

[0139] The wearable device 100 may obtain the linear boost section A, which may include: when the blood pressure measurement starts, for example, at time 0, the air pressure in the airbag 213G is close to 0 mmHg. Before the air pressure in the airbag 213G reaches the first constant pressure control point of 30 mmHg, the wearable device 100 may control the duty cycle of the driving circuit 213B to be the first duty cycle. In response to the duty cycle of the driving circuit 213B being the first duty cycle, the driving circuit 213B may control the micropump 213C to inflate the airbag 213G at an inflation rate v1. Since the micropump 213C also has a slight deflation, for example, the deflation rate of the airbag 213G is v2, then the pressure rise rate of the airbag 213G can be obtained as (v1-v2). For example, as shown in FIG6 , between 0s and 10s, the air pressure in the airbag 213G is uniformly increased to 30 mmHg, and the average pressure increase rate of the airbag 213G is 3 mmHg / s.

[0140] It should be noted that during the linear pressure increase segment A, the air pressure sensor 213E also obtains the user's peripheral arterial pulse wave signal in real time.

[0141] It should be noted that the pressure increase rate of the air bag 213G in the linear pressure increase section can vary within a certain range. For example, the pressure increase rate of the air bag 213G in the linear pressure increase section A can fluctuate between 2.8 mmHg / s and 3.2 mmHg / s and may not be fixed.

[0142] The wearable device 100 may obtain constant pressure control section A by: the air pressure sensor 213E monitors that the air pressure in the airbag 213G reaches 30 mmHg, i.e., the air pressure in the airbag 213G reaches the first constant pressure control point of 30 mmHg. To maintain the air pressure in the airbag 213G at 30 mmHg, the wearable device 100 may control the duty cycle of the drive circuit 213B to be a second duty cycle. In response to the duty cycle of the drive circuit 213B being the second duty cycle, the drive circuit 213B may control the micropump 213C to inflate the airbag 213G at an inflation rate v2, i.e., the inflation rate of the airbag 213G is the same as the deflation rate of the airbag 213G, so that the air pressure in the airbag 213G remains constant and fixed at 30 mmHg.

[0143] Between 11s and 22s, the air pressure in the airbag 213G is maintained at 30 mmHg, and the average pressure increase rate of the airbag 213G is 0.

[0144] Optionally, the holding time in the linear boost section A may be set to 12 seconds.

[0145] It should be noted that the air pressure in the airbag within the constant pressure control section can remain constant or fluctuate within a certain range. For example, when the air pressure at the constant pressure control point is 30 mmHg, the air pressure in the airbag within the constant pressure control section can fluctuate within the range of 25 mmHg-35 mmHg.

[0146] The wearable device 100 may obtain the linear boost section B by: after the air pressure sensor 213E detects that the air pressure in the airbag 213G remains at 30 mmHg for 12 seconds, the wearable device 100 may control the duty cycle of the drive circuit 213B to be the first duty cycle. In response to the duty cycle of the drive circuit 213B being the first duty cycle, the drive circuit 213B may control the micropump 213C to inflate the airbag 213G at an inflation rate v1. Since the micropump 213C also has a slight deflation, for example, the deflation rate of the airbag 213G is v2, then the pressure rise rate of the airbag 213G can be obtained as (v1-v2).

[0147] For example, as shown in FIG6 , between 23 seconds and 32 seconds, the air pressure in airbag 213G is uniformly increased to 60 mmHg. Thus, the average pressure increase rate in airbag 213G is 3 mmHg / s. The average pressure increase rate in linear pressure increase section B is the same as the average pressure increase rate in linear pressure increase section A.

[0148] It should be noted that during the linear pressure increase segment B, the air pressure sensor 213E also obtains the user's peripheral arterial pulse wave signal in real time.

[0149] The wearable device 100 may obtain constant pressure control section B by: the air pressure sensor 213E monitors that the air pressure in the airbag 213G reaches 60 mmHg, i.e., the air pressure in the airbag 213G reaches the second constant pressure control point of 60 mmHg. To maintain the air pressure in the airbag 213G at 60 mmHg, the wearable device 100 may control the duty cycle of the drive circuit 213B to be the second duty cycle. In response to the duty cycle of the drive circuit 213B being the second duty cycle, the drive circuit 213B may control the micropump 213C to inflate the airbag 213G at an inflation rate v2, i.e., the inflation rate of the airbag 213G is the same as the deflation rate of the airbag 213G, so that the air pressure in the airbag 213G remains constant and fixed at 60 mmHg.

[0150] For example, as shown in FIG6 , between 33 seconds and 44 seconds, the air pressure in the airbag 213G is maintained at 60 mmHg, and the average pressure increase rate of the airbag 213G is 0.

[0151] Optionally, the holding time in the constant voltage control section B may be set to 12 seconds.

[0152] It should be noted that during constant pressure control segment B, air pressure sensor 213E also acquires the user's peripheral arterial pulse wave signal in real time. Because the air pressure within airbag 213G remains constant during constant pressure control segment B, the peripheral arterial pulse wave signal acquired by air pressure sensor 213E has fewer frame drops than the peripheral arterial pulse wave signal acquired by air pressure sensor 213E during linear pressure increase segment B, resulting in better performance.

[0153] The wearable device 100 may obtain the linear boost section C by: after the air pressure sensor 213E detects that the air pressure in the airbag 213G remains at 90 mmHg for 12 seconds, the wearable device 100 may control the duty cycle of the drive circuit 213B to be the first duty cycle. In response to the duty cycle of the drive circuit 213B being the first duty cycle, the drive circuit 213B may control the micropump 213C to inflate the airbag 213G at an inflation rate v1. Since the micropump 213C also has a slight deflation, for example, the deflation rate of the airbag 213G is v2, then the pressure rise rate of the airbag 213G can be obtained as (v1-v2).

[0154] For example, as shown in FIG6 , between 45 seconds and 54 seconds, the air pressure in airbag 213G increases uniformly to 90 mmHg. Thus, the average pressure increase rate in airbag 213G is 3 mmHg / s. The average pressure increase rate in linear pressure increase section C is the same as the average pressure increase rate in linear pressure increase section B.

[0155] It should be noted that during the linear pressure increase section C, the air pressure sensor 213E also obtains the user's peripheral arterial pulse wave signal in real time.

[0156] The wearable device 100 may obtain constant pressure control section C by: the air pressure sensor 213E monitors that the air pressure in the airbag 213G reaches 90 mmHg, i.e., the air pressure in the airbag 213G reaches the third constant pressure control point 90 mmHg. To maintain the air pressure in the airbag 213G at 90 mmHg, the wearable device 100 may control the duty cycle of the drive circuit 213B to be a second duty cycle. In response to the duty cycle of the drive circuit 213B being the second duty cycle, the drive circuit 213B may control the micropump 213C to inflate the airbag 213G at an inflation rate v2, i.e., the inflation rate of the airbag 213G is the same as the deflation rate of the airbag 213G, so that the air pressure in the airbag 213G remains constant and fixed at 90 mmHg.

[0157] For example, as shown in FIG6 , between 55 s and 66 s, the air pressure in the airbag 213G is maintained at 90 mmHg, and the average pressure increase rate of the airbag 213G is 0.

[0158] Optionally, the holding time in the constant voltage control section C may be set to 12 seconds.

[0159] It should be noted that during constant pressure control segment C, air pressure sensor 213E also acquires the user's peripheral arterial pulse wave signal in real time. Because the air pressure within airbag 213G remains constant during constant pressure control segment C, the peripheral arterial pulse wave signal acquired by air pressure sensor 213E has fewer frame drops than the peripheral arterial pulse wave signal acquired by air pressure sensor 213E during linear pressure increase segment C, resulting in better performance.

[0160] The wearable device 100 may obtain the linear boost section D by: after the air pressure sensor 213E detects that the air pressure in the airbag 213G remains at 90 mmHg for 12 seconds, the wearable device 100 may control the duty cycle of the drive circuit 213B to be the first duty cycle. In response to the duty cycle of the drive circuit 213B being the first duty cycle, the drive circuit 213B may control the micropump 213C to inflate the airbag 213G at an inflation rate v1. Since the micropump 213C also has a slight deflation, for example, the deflation rate of the airbag 213G is v2, then the pressure rise rate of the airbag 213G can be obtained as (v1-v2).

[0161] For example, as shown in FIG6 , between 67 seconds and 76 seconds, the air pressure in airbag 213G increases uniformly to 120 mmHg, and the average pressure increase rate in airbag 213G is 3 mmHg / s. The average pressure increase rate in linear pressure increase section D is the same as the average pressure increase rate in linear pressure increase section C.

[0162] It should be noted that during the linear pressure increase section D, the air pressure sensor 213E also obtains the user's peripheral arterial pulse wave signal in real time.

[0163] The wearable device 100 may obtain constant pressure control section D by: the air pressure sensor 213E monitors that the air pressure in the airbag 213G reaches 120 mmHg, i.e., the air pressure in the airbag 213G reaches the fourth constant pressure control point 120 mmHg. To maintain the air pressure in the airbag 213G at 120 mmHg, the wearable device 100 may control the duty cycle of the drive circuit 213B to be the second duty cycle. In response to the duty cycle of the drive circuit 213B being the second duty cycle, the drive circuit 213B may control the micropump 213C to inflate the airbag 213G at an inflation rate v2, i.e., the inflation rate of the airbag 213G is the same as the deflation rate of the airbag 213G, so that the air pressure in the airbag 213G remains constant and fixed at 120 mmHg.

[0164] For example, as shown in FIG6 , between 77 s and 88 s, the air pressure in the airbag 213G is maintained at 120 mmHg, and the average pressure increase rate of the airbag 213G is 0.

[0165] Optionally, the holding time in the constant voltage control section D may be set to 12 seconds.

[0166] It should be noted that during constant pressure control segment D, air pressure sensor 213E also acquires the user's peripheral arterial pulse wave signal in real time. Because the air pressure within airbag 213G remains constant during constant pressure control segment D, the peripheral arterial pulse wave signal acquired by air pressure sensor 213E has fewer frame drops than the peripheral arterial pulse wave signal acquired by air pressure sensor 213E during the linear pressure increase segment D, resulting in better performance.

[0167] The wearable device 100 may obtain the linear boost section E by: after the air pressure sensor 213E detects that the air pressure in the airbag 213G remains at 120 mmHg for 12 seconds, the wearable device 100 may control the duty cycle of the drive circuit 213B to be the first duty cycle. In response to the duty cycle of the drive circuit 213B being the first duty cycle, the drive circuit 213B may control the micropump 213C to inflate the airbag 213G at an inflation rate v1. Since the micropump 213C also has a slight deflation, for example, the deflation rate of the airbag 213G is v2, the pressure rise rate of the airbag 213G can be obtained as (v1-v2).

[0168] For example, as shown in FIG6 , at and after 89 seconds, the air pressure in airbag 213G increases uniformly to a maximum value, with an average pressure increase rate of 3 mmHg / s. The average pressure increase rate in linear pressure increase section E is the same as the average pressure increase rate in linear pressure increase section D.

[0169] It should be noted that during the linear pressure increase segment E, the air pressure sensor 213E also obtains the user's peripheral arterial pulse wave signal in real time.

[0170] The above steps are repeated until the micro pump 213C stops inflating the air bag 213G, and the blood pressure measurement is completed.

[0171] Figure 7 shows a schematic diagram of the corresponding duty cycles of the drive circuit 213B in the linear boost section and the constant voltage control section. The duty cycle of the drive circuit 213B in the linear boost section A, linear boost section B, linear boost section C, linear boost section D, and linear boost section E is a first duty cycle. The duty cycle of the drive circuit 213B in the constant voltage control section A, constant voltage control section B, constant voltage control section C, and constant voltage control section D is a second duty cycle. The first duty cycle is greater than the second duty cycle. That is, in method one, the duty cycle of the drive circuit 213B in the linear boost section and the constant voltage control section are the same, but the duty cycle of the drive circuit 213B in the linear boost section is greater than the duty cycle of the drive circuit 213B in the constant voltage control section.

[0172] Figure 8 shows a schematic diagram of the average pressure increase rate within airbag 213G during the linear pressure increase section and the constant pressure control section. The average pressure increase rate within airbag 213G during linear pressure increase section A, linear pressure increase section B, linear pressure increase section C, linear pressure increase section D, and linear pressure increase section E is 3 mmHg / s. The average pressure increase rate within airbag 213G during constant pressure control section A, constant pressure control section B, constant pressure control section C, and constant pressure control section D is 0. In other words, in method one, the average pressure increase rate within airbag 213G is the same during the linear pressure increase section, the average pressure increase rate within airbag 213G during the constant pressure control section is close to 0, and the pressure within airbag 213G during the constant pressure control section remains constant.

[0173] It should be noted that the wearable device 100 is not limited to setting 5 linear boost sections and 4 constant voltage control sections. More or fewer linear boost sections and constant voltage control sections can also be set, which will not be described in detail in this application.

[0174] FIG9 shows a flow chart of a method for the wearable device 100 to obtain N linear boost sections and N constant voltage control sections.

[0175] As shown in FIG9 , the wearable device 100 includes a driving circuit 213B, a micro pump 213C, an airbag 213G, and an air pressure sensor 213E.

[0176] In some embodiments, the wearable device 100 may further include an air valve 213D. During the blood pressure measurement process, the air valve 213D remains closed.

[0177] S901 , the driving circuit 213B saves N constant voltage control points.

[0178] The driving circuit 213B stores N constant pressure control points, where N is a positive integer greater than or equal to . When the air pressure within the airbag 213G reaches the constant pressure control point, the driving circuit 213B adjusts the inflation rate of the micropump 213C to maintain the air pressure within the airbag 213G constant, allowing the air pressure sensor 213E to obtain the peripheral arterial pulse wave signal within the constant pressure control segment.

[0179] Exemplarily, the N constant pressure control points may be 30 mmHg, 60 mmHg, 90 mmHg, and 120 mmHg, respectively.

[0180] S902 : The air pressure sensor 213E monitors and obtains the air pressure in the airbag 213G in real time.

[0181] S903: The air pressure sensor 213E sends the acquired air pressure inside the airbag 213G to the driving circuit 213B.

[0182] The air pressure sensor 213E may be connected to the airbag 213G. For example, the air pressure sensor 213E and the airbag 213G may be connected via an air path conducting component 213F.

[0183] The air pressure sensor 213E can monitor the air pressure in the airbag 213G in real time and send the acquired air pressure in the airbag 213G to the driving circuit 213B.

[0184] S904 , the driving circuit 213B sets the driving circuit to a first duty cycle.

[0185] S905 , in response to the duty cycle being set to the first duty cycle, the driving circuit 213B sends the inflation rate v1 to the micro pump 213C.

[0186] S906 , the micro pump 213C inflates the airbag 213G at an inflation rate v1.

[0187] Upon receiving the instruction, driver circuit 213B begins measuring blood pressure. When blood pressure measurement begins, driver circuit 213B sets the driver circuit to a first duty cycle. In response to the first duty cycle being set, driver circuit 213B sends an inflation rate v1 to micropump 213C, causing micropump 213C to inflate air into airbag 213G at the inflation rate v1. Since micropump 213C also experiences slight deflation, for example, airbag 213G's deflation rate is v2, the pressure increase rate within airbag 213G is calculated to be (v1-v2), causing the pressure within airbag 213G to rise at a uniform rate according to the pressure increase rate (v1-v2).

[0188] S907: The driving circuit 213B further needs to monitor whether the air pressure in the airbag 213G reaches the preset constant pressure control point.

[0189] The preset constant pressure control point may be any one of the N constant pressure control points, for example, the preset constant pressure control point may be 30 mmHg, 60 mmHg, 90 mmHg, or 120 mmHg.

[0190] The air pressure sensor 213E may periodically / irregularly send the air pressure in the airbag 213G to the driving circuit 213B. The driving circuit 213B needs to monitor whether the air pressure in the airbag 213G reaches a preset constant pressure control point.

[0191] When the air pressure in the airbag 213G reaches the preset constant pressure control point, the driving circuit 213B can adjust the inflation rate of the micropump 213C so that the air pressure in the airbag 213G remains constant to obtain the peripheral arterial pulse wave signal in the constant pressure control section.

[0192] When the air pressure in the airbag 213G does not reach the preset constant pressure control point, the driving circuit 213B may not adjust the inflation rate of the micropump 213C, so that the air pressure in the airbag 213G rises uniformly at the pressure increase rate (v1-v2).

[0193] When the air pressure in the airbag 213G reaches the preset constant pressure control point, S908 is executed.

[0194] If the air pressure in the airbag 213G does not reach the preset constant pressure control point, S904 is executed. Alternatively, if the air pressure in the airbag 213G does not reach the preset constant pressure control point, S904 is not executed and the micropump 213C continues to inflate the airbag 213G at the inflation rate v1.

[0195] S908 , the driving circuit 213B sets the driving circuit to a second duty cycle.

[0196] S909 , in response to the second duty cycle being set, the driving circuit 213B sends the inflation rate v2 to the micro pump 213C.

[0197] S910 , the micro pump 213C inflates the airbag 213G at an inflation rate v2.

[0198] When the air pressure in the airbag 213G reaches the preset constant pressure control point, the driving circuit 213B sets the driving circuit to a second duty cycle. The second duty cycle is smaller than the first duty cycle. The smaller the duty cycle, the slower the inflation rate.

[0199] In response to the second duty cycle being set, the driver circuit 213B sends an inflation rate v2 to the micropump 213C, causing the micropump 213C to inflate the airbag 213G at the inflation rate v2. Since the micropump 213C also experiences a slight deflation, for example, the deflation rate of the airbag 213G is v2, the pressure increase rate of the airbag 213G is 0, and the air pressure in the airbag 213G remains unchanged.

[0200] In this way, when the air pressure in the airbag 213G reaches the preset constant pressure control point, the micropump 213C reduces the inflation rate so that the inflation rate of the airbag 213G is equal to the deflation rate of the airbag 213G, and the air pressure sensor 213E can obtain the peripheral arterial pulse wave signal of the constant pressure control segment.

[0201] S911: The driving circuit 213B needs to determine whether the holding time of the preset constant voltage control point reaches a first time.

[0202] After the air pressure in the airbag 213G reaches the preset constant pressure control point and the micropump 213C reduces the inflation rate, the micropump 213C needs to determine whether the holding time of the preset constant pressure control point reaches a first time period.

[0203] When the duration of holding the preset constant pressure control point reaches the first duration, S904 is executed, that is, the driving circuit 213B again sets the driving circuit to the first duty cycle. The driving circuit 213B sends an inflation rate v1 to the micropump 213C, causing the micropump 213C to inflate the airbag 213G at the inflation rate v1. Since the micropump 213C also has a slight deflation, for example, the deflation rate of the airbag 213G is v2, the pressure increase rate of the airbag 213G can be obtained as (v1-v2), so that the air pressure in the airbag 213G increases at a uniform rate according to the pressure increase rate (v1-v2).

[0204] If the duration of maintaining the preset constant pressure control point has not reached the first duration, step S908 is executed. Alternatively, if the air pressure in the airbag 213G has not reached the preset constant pressure control point, step S908 is not executed. In other words, the micropump 213C continues to inflate the airbag 213G at the inflation rate v2, so that the air pressure in the airbag 213G continues to remain constant.

[0205] In some embodiments, after the blood pressure measurement is completed and the micropump 213C stops inflating the airbag 213G, the wearable device 100 can open the air valve 213D to accelerate the deflation rate of the airbag 213G.

[0206] Method 2: The wearable device 100 keeps the inflation rate of the micropump 213C unchanged and adjusts the deflation rate of the air valve 213D to obtain N linear pressure increasing segments and N constant pressure control segments.

[0207] In method 2, the wearable device 100 uses the micropump 213C to inflate and deflate the airbag 213G. The wearable device 100 can control the micropump 213C to inflate the airbag 213G, and can also control the micropump 213C and the air valve 213D to discharge the air from the airbag 213G. The deflation rate of the micropump 213C is fixed, for example, at a rate of v2. The deflation rate of the air valve 213D is adjustable.

[0208] The wearable device 100 may be pre-set with N constant pressure control points, for example, 4 constant pressure control points, each of which is 30 mmHg, 60 mmHg, 90 mmHg, and 120 mmHg. Thus, the wearable device 100 may obtain 5 linear boost sections and 4 constant pressure control sections.

[0209] 6 , the wearable device 100 can obtain 5 linear boost sections and 4 constant voltage control sections.

[0210] As shown in FIG6 , the five linear boost sections may include, but are not limited to, linear boost section A, linear boost section B, linear boost section C, linear boost section D, and linear boost section E. The four constant voltage control sections may include, but are not limited to, constant voltage control section A, constant voltage control section B, constant voltage control section C, and constant voltage control section D.

[0211] The wearable device 100 may obtain the linear pressure rise section A, which may include: when the blood pressure measurement starts, for example, at time 0, the air pressure in the airbag 213G is close to 0 mmHg. Before the air pressure in the airbag 213G reaches the first constant pressure control point of 30 mmHg, the wearable device 100 may control the duty cycle of the driving circuit 213B to be the first duty cycle, and the air valve 213D is closed. In response to the duty cycle of the driving circuit 213B being the first duty cycle, the driving circuit 213B may control the micropump 213C to inflate the airbag 213G at an inflation rate v1. Since the micropump 213C also has a slight deflation, for example, the deflation rate of the airbag 213G is v2, then the pressure rise rate of the airbag 213G can be obtained as (v1-v2). For example, as shown in FIG6 , between 0s and 10s, the air pressure in the airbag 213G is uniformly increased to 30 mmHg, and the average pressure increase rate of the airbag 213G is 3 mmHg / s.

[0212] It should be noted that during the linear pressure increase segment A, the air pressure sensor 213E also obtains the user's peripheral arterial pulse wave signal in real time.

[0213] The wearable device 100 may obtain constant pressure control section A by: the air pressure sensor 213E monitors that the air pressure in the airbag 213G reaches 30 mmHg, that is, the air pressure in the airbag 213G reaches the first constant pressure control point of 30 mmHg. The duty cycle of the driving circuit 213B is still maintained at the first duty cycle. In order to maintain the air pressure in the airbag 213G at 30 mmHg, the driving circuit 213B can control the deflation rate of the air valve 213D to be (v1-v2). At this time, the inflation rate of the airbag 213G is v1, and the deflation rate of the airbag 213G is (v1-v2)+v2=v1. That is, the inflation rate of the airbag 213G is the same as the deflation rate of the airbag 213G, and the air pressure in the airbag 213G remains unchanged and fixed at 30 mmHg.

[0214] Between 11s and 22s, the air pressure in the airbag 213G is maintained at 30 mmHg, and the average pressure increase rate of the airbag 213G is 0.

[0215] Optionally, the holding time in the linear boost section A may be set to 12 seconds.

[0216] It should be noted that during the linear pressure increase segment B, the air pressure sensor 213E also obtains the user's peripheral arterial pulse wave signal in real time.

[0217] The wearable device 100 may obtain the linear boost section B by: after the air pressure sensor 213E detects that the air pressure in the airbag 213G remains at 30 mmHg for 12 seconds, the wearable device 100 may control the duty cycle of the drive circuit 213B to be the first duty cycle, and the air valve 213D is closed. In response to the duty cycle of the drive circuit 213B being the first duty cycle, the drive circuit 213B may control the micropump 213C to inflate the airbag 213G at an inflation rate v1. Since the micropump 213C also has a slight deflation, for example, the deflation rate of the airbag 213G is v2, then the pressure rise rate of the airbag 213G can be obtained as (v1-v2).

[0218] For example, as shown in FIG6 , between 23 seconds and 32 seconds, the air pressure in airbag 213G is uniformly increased to 60 mmHg. Thus, the average pressure increase rate in airbag 213G is 3 mmHg / s. The average pressure increase rate in linear pressure increase section B is the same as the average pressure increase rate in linear pressure increase section A.

[0219] It should be noted that during the linear pressure increase segment B, the air pressure sensor 213E also obtains the user's peripheral arterial pulse wave signal in real time.

[0220] The wearable device 100 may obtain constant pressure control section B, which may include: the air pressure sensor 213E monitors that the air pressure in the airbag 213G reaches 60 mmHg, that is, the air pressure in the airbag 213G reaches the second constant pressure control point 60 mmHg. The duty cycle of the driving circuit 213B remains at the first duty cycle. To maintain the air pressure in the airbag 213G at 60 mmHg, the driving circuit 213B may control the deflation rate of the air valve 213D to be (v1-v2). At this time, the inflation rate of the airbag 213G is v1, and the deflation rate of the airbag 213G is (v1-v2)+v2=v1. That is, the inflation rate of the airbag 213G is the same as the deflation rate of the airbag 213G, and the air pressure in the airbag 213G remains unchanged and fixed at 60 mmHg.

[0221] For example, as shown in FIG6 , between 33 seconds and 44 seconds, the air pressure in the airbag 213G is maintained at 60 mmHg, and the average pressure increase rate of the airbag 213G is 0.

[0222] Optionally, the holding time in the constant voltage control section B may be set to 12 seconds.

[0223] It should be noted that during constant pressure control segment B, air pressure sensor 213E also acquires the user's peripheral arterial pulse wave signal in real time. Because the air pressure within airbag 213G remains constant during constant pressure control segment B, the peripheral arterial pulse wave signal acquired by air pressure sensor 213E has fewer frame drops than the peripheral arterial pulse wave signal acquired by air pressure sensor 213E during linear pressure increase segment B, resulting in better performance.

[0224] The wearable device 100 may obtain the linear boost section C by: after the air pressure sensor 213E detects that the air pressure in the airbag 213G remains at 90 mmHg for 12 seconds, the wearable device 100 may control the duty cycle of the drive circuit 213B to be the first duty cycle, and the air valve 213D is closed. In response to the duty cycle of the drive circuit 213B being the first duty cycle, the drive circuit 213B may control the micropump 213C to inflate the airbag 213G at an inflation rate v1. Since the micropump 213C also has a slight deflation, for example, the deflation rate of the airbag 213G is v2, then the pressure rise rate of the airbag 213G can be obtained as (v1-v2).

[0225] For example, as shown in FIG6 , between 45 seconds and 54 seconds, the air pressure in airbag 213G increases uniformly to 90 mmHg. Thus, the average pressure increase rate in airbag 213G is 3 mmHg / s. The average pressure increase rate in linear pressure increase section C is the same as the average pressure increase rate in linear pressure increase section B.

[0226] It should be noted that during the linear pressure increase section C, the air pressure sensor 213E also obtains the user's peripheral arterial pulse wave signal in real time.

[0227] The wearable device 100 may obtain constant pressure control section C by: the air pressure sensor 213E detects that the air pressure in the airbag 213G reaches 90 mmHg, that is, the air pressure in the airbag 213G reaches the third constant pressure control point 90 mmHg. The duty cycle of the driving circuit 213B is still maintained at the first duty cycle. In order to maintain the air pressure in the airbag 213G at 90 mmHg, the driving circuit 213B can control the deflation rate of the air valve 213D to be (v1-v2). At this time, the inflation rate of the airbag 213G is v1, and the deflation rate of the airbag 213G is (v1-v2)+v2=v1. That is, the inflation rate of the airbag 213G is the same as the deflation rate of the airbag 213G, and the air pressure in the airbag 213G remains unchanged and fixed at 90 mmHg.

[0228] For example, as shown in FIG6 , between 55 s and 66 s, the air pressure in the airbag 213G is maintained at 90 mmHg, and the average pressure increase rate of the airbag 213G is 0.

[0229] Optionally, the holding time in the constant voltage control section C may be set to 12 seconds.

[0230] It should be noted that during constant pressure control segment C, air pressure sensor 213E also acquires the user's peripheral arterial pulse wave signal in real time. Because the air pressure within airbag 213G remains constant during constant pressure control segment C, the peripheral arterial pulse wave signal acquired by air pressure sensor 213E has fewer frame drops than the peripheral arterial pulse wave signal acquired by air pressure sensor 213E during linear pressure increase segment C, resulting in better performance.

[0231] The wearable device 100 may obtain the linear boost section D by: after the air pressure sensor 213E detects that the air pressure in the airbag 213G remains at 90 mmHg for 12 seconds, the wearable device 100 may control the duty cycle of the drive circuit 213B to be the first duty cycle, and the air valve 213D is closed. In response to the duty cycle of the drive circuit 213B being the first duty cycle, the drive circuit 213B may control the micropump 213C to inflate the airbag 213G at an inflation rate v1. Since the micropump 213C also has a slight deflation, for example, the deflation rate of the airbag 213G is v2, then the pressure rise rate of the airbag 213G can be obtained as (v1-v2).

[0232] For example, as shown in FIG6 , between 67 seconds and 76 seconds, the air pressure in airbag 213G increases uniformly to 120 mmHg, and the average pressure increase rate in airbag 213G is 3 mmHg / s. The average pressure increase rate in linear pressure increase section D is the same as the average pressure increase rate in linear pressure increase section C.

[0233] It should be noted that during the linear pressure increase section D, the air pressure sensor 213E also obtains the user's peripheral arterial pulse wave signal in real time.

[0234] The wearable device 100 may obtain constant pressure control section D by: the air pressure sensor 213E monitors that the air pressure in the airbag 213G reaches 120 mmHg, that is, the air pressure in the airbag 213G reaches the fourth constant pressure control point 120 mmHg. The duty cycle of the driving circuit 213B remains at the first duty cycle. To maintain the air pressure in the airbag 213G at 120 mmHg, the driving circuit 213B may control the deflation rate of the air valve 213D to be (v1-v2). At this time, the inflation rate of the airbag 213G is v1, and the deflation rate of the airbag 213G is (v1-v2)+v2=v1. That is, the inflation rate of the airbag 213G is the same as the deflation rate of the airbag 213G, and the air pressure in the airbag 213G remains unchanged and fixed at 120 mmHg.

[0235] For example, as shown in FIG6 , between 77 s and 88 s, the air pressure in the airbag 213G is maintained at 120 mmHg, and the average pressure increase rate of the airbag 213G is 0.

[0236] Optionally, the holding time in the constant voltage control section D may be set to 12 seconds.

[0237] It should be noted that during constant pressure control segment D, air pressure sensor 213E also acquires the user's peripheral arterial pulse wave signal in real time. Because the air pressure within airbag 213G remains constant during constant pressure control segment D, the peripheral arterial pulse wave signal acquired by air pressure sensor 213E has fewer frame drops than the peripheral arterial pulse wave signal acquired by air pressure sensor 213E during the linear pressure increase segment D, resulting in better performance.

[0238] The wearable device 100 may obtain the linear boost section E by: after the air pressure sensor 213E detects that the air pressure in the airbag 213G remains at 120 mmHg for 12 seconds, the wearable device 100 may control the duty cycle of the drive circuit 213B to be the first duty cycle, and the air valve 213D is closed. In response to the duty cycle of the drive circuit 213B being the first duty cycle, the drive circuit 213B may control the micropump 213C to inflate the airbag 213G at an inflation rate v1. Since the micropump 213C also has a slight deflation, for example, the deflation rate of the airbag 213G is v2, the pressure rise rate of the airbag 213G can be obtained as (v1-v2).

[0239] For example, as shown in FIG6 , at and after 89 seconds, the air pressure in airbag 213G increases uniformly to a maximum value, with an average pressure increase rate of 3 mmHg / s. The average pressure increase rate in linear pressure increase section E is the same as the average pressure increase rate in linear pressure increase section D.

[0240] It should be noted that during the linear pressure increase segment E, the air pressure sensor 213E also obtains the user's peripheral arterial pulse wave signal in real time.

[0241] The above steps are repeated until the micro pump 213C stops inflating the air bag 213G, and the blood pressure measurement is completed.

[0242] The above steps are repeated until the micro pump 213C stops inflating the air bag 213G, and the blood pressure measurement is completed.

[0243] FIG10 shows a schematic diagram of the duty cycles corresponding to the drive circuit 213B in the linear boost section and the constant voltage control section. The duty cycles of the drive circuit 213B in the linear boost section A, linear boost section B, linear boost section C, linear boost section D, linear boost section E, and the constant voltage control sections A, B, C, and D are all the first duty cycle.

[0244] Figure 11 shows the average pressure increase rate within airbag 213G during the linear pressure increase section and the constant pressure control section. The average pressure increase rate within airbag 213G during linear pressure increase section A, linear pressure increase section B, linear pressure increase section C, linear pressure increase section D, and linear pressure increase section E is 3 mmHg / s. The average pressure increase rate within airbag 213G during constant pressure control section A, constant pressure control section B, constant pressure control section C, and constant pressure control section D is 0. In other words, in method two, the average pressure increase rate within airbag 213G is the same during the linear pressure increase section, the average pressure increase rate within airbag 213G during the constant pressure control section is close to 0, and the pressure within airbag 213G during the constant pressure control section remains constant.

[0245] It should be noted that the wearable device 100 is not limited to setting 5 linear boost sections and 4 constant voltage control sections. More or fewer linear boost sections and constant voltage control sections can also be set, which will not be described in detail in this application.

[0246] FIG12 shows a flow chart of another method for the wearable device 100 to obtain N linear boost segments and N constant voltage control segments.

[0247] As shown in FIG12 , the wearable device 100 includes a driving circuit 213B, a micro pump 213C, an air valve 213D, an air bag 213G, and an air pressure sensor 213E.

[0248] In the linear pressure increasing section, the gas valve 213D is in a closed state, and in the constant pressure control section, the gas valve 213D is in an open state.

[0249] For the description of S1201-S1203, please refer to the description in S901-S903, and this application will not repeat them here.

[0250] S1204 , the driving circuit 213B sets the driving circuit to a first duty cycle.

[0251] S1205 , in response to the duty cycle being set to the first duty cycle, the driving circuit 213B sends an inflation rate v1 to the micro pump 213C.

[0252] S1206 , the micro pump 213C inflates the airbag 213G at an inflation rate v1.

[0253] Upon receiving the instruction, driver circuit 213B begins measuring blood pressure. When blood pressure measurement begins, driver circuit 213B sets the driver circuit to a first duty cycle. In response to the first duty cycle being set, driver circuit 213B sends an inflation rate v1 to micropump 213C, causing micropump 213C to inflate air into airbag 213G at the inflation rate v1. Since micropump 213C also experiences slight deflation, for example, airbag 213G's deflation rate is v2, the pressure increase rate within airbag 213G is calculated to be (v1-v2), causing the pressure within airbag 213G to rise at a uniform rate according to the pressure increase rate (v1-v2).

[0254] It should be noted that in the second method, during the blood pressure measurement process, the micro pump 213C continuously inflates the airbag 213G at an inflation rate v1.

[0255] S1207. The driving circuit 213B sends a closing instruction to the gas valve 213D.

[0256] S1208. In response to the closing instruction, the air valve 213D stops discharging the air in the airbag 213G.

[0257] Optionally, S1207-S1208 may be executed before S1204-S1206, and S1207-S1208 may be executed simultaneously with S1204-S1206, which is not limited in this application.

[0258] The driving circuit 213B receives the instruction and starts measuring the blood pressure. When the blood pressure measurement starts, the driving circuit 213B sends a closing instruction to the air valve 213D. In response to the closing instruction, the air valve 213D stops exhausting the air in the air bag 213G.

[0259] That is to say, when the air pressure in the airbag 213G does not reach the preset constant pressure control point, the air valve 213D is in a closed state.

[0260] S1209: The driving circuit 213B needs to monitor whether the air pressure in the airbag 213G reaches the preset constant pressure control point.

[0261] The preset constant pressure control point may be any one of the N constant pressure control points, for example, the preset constant pressure control point may be 30 mmHg, 60 mmHg, 90 mmHg, or 120 mmHg.

[0262] The air pressure sensor 213E may periodically / irregularly send the air pressure in the airbag 213G to the driving circuit 213B. The driving circuit 213B needs to monitor whether the air pressure in the airbag 213G reaches a preset constant pressure control point.

[0263] When the air pressure in the airbag 213G reaches the preset constant pressure control point, the driving circuit 213B can adjust the deflation rate of the air valve 213D so that the air pressure in the airbag 213G remains constant, thereby obtaining the peripheral arterial pulse wave signal in the constant pressure control section.

[0264] When the air pressure in the airbag 213G does not reach the preset constant pressure control point, the driving circuit 213B may not open the air valve 213D, so that the air pressure in the airbag 213G rises uniformly at the pressure increase rate (v1-v2).

[0265] When the air pressure in the airbag 213G reaches the preset constant pressure control point, S1210 is executed.

[0266] If the air pressure in the airbag 213G does not reach the preset constant pressure control point, S1207 is executed. Alternatively, if the air pressure in the airbag 213G does not reach the preset constant pressure control point, S1207 is not executed and the air valve 213D remains in the closed state.

[0267] S1210 , the driving circuit 213B sends the deflation rate (v1 −v2) to the gas valve 213D.

[0268] S1211. In response to the deflation rate (v1-v2), the air valve 213D discharges the air in the airbag 213G at the deflation rate (v1-v2).

[0269] When the air pressure in the airbag 213G reaches the preset constant pressure control point, the driving circuit 213B sends the deflation rate (v1-v2) to the air valve 213D. In response to the deflation rate (v1-v2), the air valve 213D exhausts the air in the airbag 213G at the deflation rate (v1-v2).

[0270] Since the micro pump 213C also has a slight air leakage, for example, the air bag 213G's air leakage rate is v2, then the air bag 213G's air leakage rate is v1, which is the same as the air bag 213G's inflation rate, that is, the air bag 213G's pressure increase rate is 0, and the air pressure in the air bag 213G remains unchanged.

[0271] In this way, when the air pressure in the airbag 213G reaches the preset constant pressure control point, the air valve 213D can open to discharge the air in the airbag 213G, so that the inflation rate of the airbag 213G is equal to the deflation rate of the airbag 213G, and the air pressure sensor 213E can obtain the peripheral arterial pulse wave signal of the constant pressure control segment.

[0272] S1212: The driving circuit 213B needs to determine whether the holding time of the preset constant voltage control point reaches a first time.

[0273] After the air pressure in the airbag 213G reaches the preset constant pressure control point, the micro pump 213C needs to determine whether the holding time of the preset constant pressure control point reaches a first time period.

[0274] When the holding time of the preset constant pressure control point reaches the first time, S1207 is executed, that is, the driving circuit 213B sends a closing instruction to the air valve 213D again, so that the air valve 213D is closed. In some embodiments, after the blood pressure measurement is completed and the micropump 213C stops inflating the air bag 213G, the wearable device 100 can open the air valve 213D to speed up the deflation rate of the air bag 213G.

[0275] If the preset constant pressure control point is maintained for a period of time that does not reach the first period of time, S1210 is executed. Alternatively, if the preset constant pressure control point is maintained for a period of time that does not reach the first period of time, S1210 is not executed, that is, the air valve 213D is kept closed, so that the air pressure in the airbag 213G remains constant.

[0276] In some embodiments, after the blood pressure measurement is completed and the micropump 213C stops inflating the airbag 213G, the wearable device 100 can open the air valve 213D to accelerate the deflation rate of the airbag 213G.

[0277] 2. The wearable device 100 obtains the peripheral arterial blood pressure value based on the airbag pressure signal corresponding to the N linear boost segments and the peripheral arterial pulse wave signal corresponding to the N linear boost segments.

[0278] Based on the above description, it can be seen that when the wearable device 100 uses the micropump 213C to inflate the airbag 213G to measure blood pressure, the air pressure sensor 213E also continuously collects the peripheral arterial pulse wave signal.

[0279] As shown in FIG13 , in the linear pressure increasing section A, the air pressure sensor 213E collects the peripheral arterial pulse wave A1. In the constant pressure control section A, the air pressure sensor 213E collects the peripheral arterial pulse wave A2.

[0280] In the linear pressure increasing section B, the air pressure sensor 213E collects the peripheral arterial pulse wave B1. In the constant pressure control section B, the air pressure sensor 213E collects the peripheral arterial pulse wave B2.

[0281] In the linear pressure increasing section C, the air pressure sensor 213E collects the peripheral arterial pulse wave C1. In the constant pressure control section C, the air pressure sensor 213E collects the peripheral arterial pulse wave C2.

[0282] In the linear pressure increasing section D, the air pressure sensor 213E collects the peripheral arterial pulse wave D1. In the constant pressure control section D, the air pressure sensor 213E collects the peripheral arterial pulse wave D2.

[0283] In the linear pressure increasing section E, the air pressure sensor 213E collects the peripheral arterial pulse wave E1.

[0284] The wearable device 100 can obtain the peripheral arterial pulse wave signals corresponding to the N linear boost segments, and obtain the peripheral arterial blood pressure value based on the peripheral arterial pulse wave signals corresponding to the N linear boost segments.

[0285] Specifically, as shown in FIG14 , the wearable device 100 can obtain peripheral arterial pulse wave signals corresponding to N linear boost segments, such as peripheral arterial pulse wave signal A1, peripheral arterial pulse wave signal B1, peripheral arterial pulse wave signal C1, peripheral arterial pulse wave signal D1, and peripheral arterial pulse wave signal E1. The wearable device 100 then chronologically concatenates the peripheral arterial pulse wave signals corresponding to the N linear boost segments into a complete peripheral arterial pulse wave signal. The wearable device 100 can obtain the peripheral arterial blood pressure value based on the peripheral arterial pulse wave signals of the linear boost segments and the blood pressure change signal of the linear boost segments.

[0286] FIG15 is a schematic diagram of how to obtain a peripheral arterial blood pressure value provided in an embodiment of the present application.

[0287] As shown in Figure 15, during the process of wearable device 100 inflating wearable component 202 to temporarily occlude an arm artery, the pressure in wearable component 202 gradually increases to a stable state, and the artery gradually becomes completely blocked. During this period of gradual pressure increase, the air pressure and pulse signal of wearable component 202 are recorded. When the air pressure in wearable component 202 gradually increases and the diastolic pressure is less than the mean pressure, the pulse signal is a fine oscillatory wave. As the air pressure in wearable component 202 continues to increase and becomes greater than the diastolic pressure but less than the mean pressure, the amplitude of the pulse signal gradually increases. When the air pressure in wearable component 202 equals the mean pressure, the amplitude of the pulse signal reaches its maximum value. When the air pressure in wearable component 202 gradually increases and becomes greater than the mean pressure but less than the systolic pressure, the artery gradually becomes blocked, and the amplitude of the pulse signal continuously decreases. When the air pressure in wearable component 202 is greater than or equal to the systolic pressure, the artery is blocked, and the pulse signal is a fine oscillatory wave. Therefore, the wearable device 100 can determine the user's systolic and diastolic blood pressures by the amplitude change of the pulse signal and the air pressure value of the wearable component 202. In one possible implementation, the air pressure value of the wearable component 202 and the pulse signal can be determined by a built-in air pressure sensor in the wearable device 100.

[0288] 3. The wearable device 100 obtains a central artery pulse wave signal based on the peripheral artery pulse wave signals corresponding to the N constant pressure control segments.

[0289] Based on the description of the embodiment in FIG. 14 , it can be seen that during blood pressure measurement, wearable device 100 can obtain peripheral arterial pulse wave signals corresponding to N linear pressure-increasing segments. During the constant pressure control segment, the air pressure within airbag 213G remains constant, and the peripheral arterial pulse wave signal obtained by air pressure sensor 213E has minimal frame loss and high quality. Based on the peripheral arterial pulse wave signal obtained during the constant pressure control segment, wearable device 100 can derive a central arterial pulse wave signal to facilitate cardiovascular risk analysis of the user.

[0290] Based on the embodiment of Figure 13, it can be seen that the wearable device 100 can obtain the peripheral arterial pulse wave signal A2 corresponding to the constant pressure control segment A, the peripheral arterial pulse wave signal B2 corresponding to the constant pressure control segment B, the peripheral arterial pulse wave signal C2 corresponding to the constant pressure control segment C, and the peripheral arterial pulse wave signal D2 corresponding to the constant pressure control segment D.

[0291] In one possible implementation, as shown in FIG16 , the wearable device 100 can filter out a peripheral arterial pulse wave signal with a better waveform from the peripheral arterial pulse wave signals corresponding to the aforementioned constant voltage control segments. The filtering rule can be that the amplitude variation of the peripheral arterial pulse wave signal is small. The filtering rule can also be other rules, which are not limited in this application.

[0292] For example, as shown in FIG16 , the wearable device 100 can filter out the peripheral artery pulse wave signal C2 having a better waveform from the peripheral artery pulse wave signal A2 , the peripheral artery pulse wave signal B2 , the peripheral artery pulse wave signal C2 , and the peripheral artery pulse wave signal D2 .

[0293] Afterwards, the wearable device 100 can obtain the central artery pulse wave signal based on the peripheral artery pulse wave signal C2.

[0294] In some embodiments, the wearable device 100 can obtain the central artery pulse wave signal based on the peripheral artery pulse wave signal C2 through the target model 1.

[0295] Optionally, the target model 1 may be composed of transfer functions.

[0296] The target model 1 may be trained by the wearable device 100 , or may be trained by a server or other device. The wearable device 100 may directly obtain the trained target model 1 and use the target model 1 .

[0297] Next, we will introduce how to train target model 1.

[0298] First, a large amount of training data is obtained. The training data includes a peripheral artery pulse wave signal and a central artery pulse wave signal corresponding to the peripheral artery pulse wave signal. The peripheral artery pulse wave signal in the training data is input into target model 1, and target model 1 can output the peripheral artery pulse wave signal. The similarity between the peripheral artery pulse wave signal output by target model 1 and the peripheral artery pulse wave signal in the training data is compared. If the similarity is less than a preset value, the parameter information of target model 1 is adjusted. The peripheral artery pulse wave signal in the training data is again input into target model 1, and target model 1 can output the peripheral artery pulse wave signal. The similarity between the peripheral artery pulse wave signal output by target model 1 and the peripheral artery pulse wave signal in the training data is compared. If the similarity is less than a preset value, the above steps are repeated until the similarity between the peripheral artery pulse wave signal output by target model 1 and the peripheral artery pulse wave signal in the training data is greater than the preset value, and the training of target model 1 is completed. The input of the trained target model 1 is the peripheral artery pulse wave signal, and the output of the trained target model 1 is the central artery pulse wave signal.

[0299] The wearable device 100 can obtain the central artery pulse wave signal based on the trained target model 1 and the peripheral artery pulse wave signal C2.

[0300] For example, as shown in FIG17 , after the wearable device 100 obtains the peripheral arterial pulse wave signal C2, the wearable device 100 can input the peripheral arterial pulse wave signal C2 into the trained target model 1, and the trained target model 1 can output the central artery pulse wave signal corresponding to the peripheral arterial pulse wave signal C2.

[0301] Optionally, after the wearable device 100 obtains the trained target model 1, the wearable device 100 may periodically / irregularly update the target model 1 to improve the accuracy of the target model 1 in obtaining the central artery pulse wave signal based on the peripheral artery pulse wave signal.

[0302] In some embodiments, after the wearable device 100 acquires the central arterial pulse wave signal, the wearable device 100 may assess the user's physical condition based on the central arterial pulse wave signal. For example, the wearable device 100 may acquire parameter information for assessing cardiovascular disease based on the central arterial pulse wave signal. The parameter information for assessing cardiovascular disease may include, but is not limited to, one or more of the following: heart rate, vascular wall elasticity, cardiac ejection capacity, peripheral vascular resistance, etc.

[0303] FIG18 is a schematic diagram showing a central artery pulse wave signal acquired within one cycle.

[0304] The wearable device 100 can determine parameter information for assessing cardiovascular disease based on the time corresponding to the characteristic point of the central arterial pulse wave signal and the central arterial pressure value.

[0305] For example, as shown in FIG18 , the wearable device 100 can obtain characteristic points a, b, and c from the central arterial pulse wave signal. Characteristic point a represents the location where the central arterial pressure reaches its maximum value at time t1, with the maximum central arterial pressure being H1. Characteristic point b represents the location where the central arterial pressure reaches its second maximum value at time t2, with the second maximum central arterial pressure being H2. Characteristic point c represents the location where the central arterial pressure reaches its minimum value at time t3, with the minimum central arterial pressure being H3.

[0306] Among them, H2 / H1 can represent the elasticity of the blood vessel wall, H3 / H1 can represent the peripheral blood vessel resistance, T1 / T4 can represent the heart's ejection capacity, and T3 / T2 can represent the heart rate, etc.

[0307] Not limited to parameter information such as heart rate, vascular wall elasticity, cardiac ejection capacity, and peripheral vascular resistance, the wearable device 100 can also obtain other more or less parameter information for evaluating cardiovascular disease from the central arterial pulse wave signal, and this application does not limit this.

[0308] 4. The wearable device 100 obtains a central arterial blood pressure value based on the peripheral arterial blood pressure value and the central arterial pulse wave signal.

[0309] Peripheral arterial blood pressure values ​​may include peripheral arterial systolic pressure, peripheral arterial diastolic pressure, and peripheral arterial mean pressure.

[0310] Central arterial blood pressure values ​​may include central arterial systolic pressure, central arterial diastolic pressure, and central arterial mean pressure.

[0311] The wearable device 100 can obtain the central arterial blood pressure value based on the peripheral arterial blood pressure value and the central arterial pulse wave signal.

[0312] In some embodiments, the wearable device 100 can obtain the central arterial blood pressure value based on the peripheral arterial blood pressure value and the central arterial pulse wave signal through the target model 2.

[0313] Optionally, the target model 2 may be composed of transfer functions.

[0314] The target model 2 may be trained by the wearable device 100 , or may be trained by a server or other device. The wearable device 100 may directly obtain the trained target model 2 and use the target model 2 .

[0315] Next, we will introduce how to train target model 2.

[0316] First, a large amount of training data is obtained. The training data includes peripheral arterial blood pressure values, central arterial pulse wave signals, and central arterial blood pressure values ​​corresponding to the peripheral arterial blood pressure values. The peripheral arterial blood pressure values ​​and central arterial pulse wave signals in the training data are input into target model 2, which can then output central arterial blood pressure values. The difference between the central arterial blood pressure values ​​output by target model 2 and the central arterial blood pressure values ​​corresponding to the peripheral arterial blood pressure values ​​in the training data is compared. If the difference is greater than a preset value, the parameter information of target model 2 is adjusted. The peripheral arterial blood pressure values ​​and central arterial pulse wave signals in the training data are again input into target model 2, which can then output central arterial blood pressure values. The similarity between the central arterial blood pressure values ​​output by target model 1 and the central arterial blood pressure values ​​corresponding to the peripheral arterial blood pressure values ​​in the training data is compared. If the difference is greater than a preset value, the above steps are repeated until the difference between the central arterial blood pressure values ​​output by target model 2 and the central arterial blood pressure values ​​corresponding to the peripheral arterial blood pressure values ​​in the training data is less than a preset value, thus completing the training of target model 2. The input of the trained target model 2 is the peripheral arterial blood pressure value and the central arterial pulse wave signal, and the output of the trained target model 2 is the central arterial blood pressure value.

[0317] The wearable device 100 can obtain the central arterial pulse wave signal based on the trained target model 2 and the peripheral arterial blood pressure value and the central arterial pulse wave signal.

[0318] In some embodiments, in addition to the two methods described above, the peripheral artery pulse wave signal of the constant pressure control section is obtained to obtain the central artery pulse wave signal.

[0319] In other embodiments, the wearable device 100 may also be combined with a PPG module to obtain a peripheral arterial pulse wave signal in a constant pressure control segment to obtain a central arterial pulse wave signal.

[0320] The embodiments of the present application provide two other methods for obtaining the peripheral arterial pulse wave signal in the constant pressure control section in combination with the PPG module.

[0321] Method 3: When the air pressure in the airbag 213G is kept constant, the peripheral arterial pulse wave signal of the constant pressure control section is obtained based on the PPG module.

[0322] For example, the air pressure in the airbag 213G can be kept constant near the average pressure. The air pressure in the airbag 213G is not limited to the average pressure, and can also be kept constant at other pressure values, which is not limited in this application.

[0323] When blood pressure measurement begins, the wearable device 100 can inflate the airbag 213G at an inflation rate v1 via the micropump 213C. When it detects that the pressure inside the airbag 213G is equal to the mean pressure, the micropump 213C inflates the airbag 213G at an inflation rate v1-v2. Alternatively, the micropump 213C continues to inflate the airbag 213G at the inflation rate v1, but the wearable device 100 opens the air valve 213D and controls the air valve 213D to discharge the gas inside the airbag 213G at an air discharge rate v1-v2, so that the air pressure inside the airbag 213G is stabilized near the mean pressure.

[0324] As shown in (a) and (b) of FIG19 , after the air pressure in the airbag 213G stabilizes near the mean pressure, the wearable device 100 can collect the peripheral arterial pulse wave signal through the PPG module. The peripheral arterial pulse wave signal collected by the PPG module is collected when the air pressure in the airbag 213G is constant.

[0325] In some embodiments, after acquiring the peripheral arterial pulse wave signal, the wearable device 100 can obtain a central arterial pulse wave signal based on the peripheral arterial pulse wave signal shown in (b) of FIG. 19 , so as to analyze whether the user has cardiovascular risk. For how the wearable device 100 obtains the central arterial pulse wave signal based on the peripheral arterial pulse wave signal shown in (b) of FIG. 19 , and how to obtain parameter information for assessing cardiovascular disease based on the central arterial pulse wave signal, please refer to the description in FIG. 17 and FIG. 18 , and this application will not repeat them here.

[0326] After acquiring the peripheral arterial pulse wave signal, the wearable device 100 can determine a peripheral arterial pressure signal based on the peripheral arterial pulse wave signal, and then acquire a peripheral arterial pressure value based on the peripheral arterial pressure signal.

[0327] Specifically, as shown in (a) and (b) in Figure 20A, when the peripheral arterial pulse wave signal collected by the PPG module changes from the waveform shown in (a) in Figure 20A to the waveform shown in (b) in Figure 20A, the changing trend of blood pressure can be obtained, so that the peripheral arterial pressure signal changes from the waveform shown in (a) in Figure 20B to the waveform shown in (b) in Figure 20B.

[0328] The waveform shown in (b) of FIG20B is a peripheral arterial pressure signal within one cycle. The wearable device 100 can obtain a peripheral arterial pressure value based on the peripheral arterial pressure signal shown in (b) of FIG20B. The peripheral arterial pressure value includes the peripheral arterial systolic pressure and the peripheral arterial diastolic pressure.

[0329] As shown in (b) of FIG20B , the maximum peak value of the peripheral arterial pressure signal is the systolic pressure, and the minimum valley value of the peripheral arterial pressure signal is the diastolic pressure.

[0330] In some embodiments, after obtaining the peripheral arterial pressure value and the central arterial pulse wave signal, the wearable device 100 can obtain the central arterial pressure value based on the peripheral arterial pressure value and the central arterial pulse wave signal. For details, please refer to the description in the previous section, and this application will not repeat them here.

[0331] Method 4: The wearable device 100 obtains a central arterial pulse wave signal, a peripheral arterial blood pressure value, and a central arterial blood pressure value based on the PPG signal collected by the PPG module.

[0332] In methods 1 to 3, the wearable device 100 measures the user's blood pressure by inflating and deflating the airbag, which may affect the user's rest. To avoid this impact on the user, the wearable device 100 can obtain the user's blood pressure by measuring the PPG signal to reduce the impact on the user's sleep.

[0333] In some embodiments, the wearable device 100 can obtain a central arterial pulse wave signal, a peripheral arterial blood pressure value, and a central arterial blood pressure value through the target model 3 based on the PPG signal collected by the PPG module.

[0334] Target model 3 represents the corresponding relationship between the PPG signal and the central arterial pulse wave signal, the peripheral arterial blood pressure value, and the central arterial blood pressure value.

[0335] For example, before the wearable device 100 leaves the factory, the wearable device 100 is pre-configured with the target model 3, or the wearable device 100 can dynamically obtain the target model 3 from the server. The input of the target model 3 can be the PPG signal measured by the wearable device 100 through the PPG module, and the output of the target model 3 can be the central arterial pulse wave signal, the peripheral arterial blood pressure value, and the central arterial blood pressure value. In other words, when the PPG signal measured by the wearable device 100 is input into the target model 3, the central arterial pulse wave signal, the peripheral arterial blood pressure value, and the central arterial blood pressure value can be obtained through the target model 3.

[0336] Next, we will introduce the training process of target model 3.

[0337] The training process of target model 3 specifically includes: obtaining a large amount of training data. The training data includes a PPG signal and the central arterial pulse wave signal, peripheral arterial blood pressure value, and central arterial blood pressure value corresponding to the PPG signal. Inputting the PPG signal in the training data into target model 3, target model 3 can output the central arterial pulse wave signal, peripheral arterial blood pressure value, and central arterial blood pressure value. Comparing the similarity between the central arterial pulse wave signal, peripheral arterial blood pressure value, and central arterial blood pressure value output by target model 1 and the central arterial pulse wave signal, peripheral arterial blood pressure value, and central arterial blood pressure value in the training data. If the similarity is less than a preset value, adjusting parameter information of target model 3. Inputting the PPG signal in the training data into target model 3 again, target model 3 can output the central arterial pulse wave signal, peripheral arterial blood pressure value, and central arterial blood pressure value. Comparing the similarity between the central arterial pulse wave signal, peripheral arterial blood pressure value, and central arterial blood pressure value output by target model 3 and the central arterial pulse wave signal, peripheral arterial blood pressure value, and central arterial blood pressure value in the training data. If the similarity is less than a preset value, the above steps are repeated until the similarity between the central arterial pulse wave signal, peripheral arterial blood pressure value, and central arterial blood pressure value output by target model 3 and the central arterial pulse wave signal, peripheral arterial blood pressure value, and central arterial blood pressure value in the training data exceeds a preset value, and the training of target model 3 is completed. The input of the trained target model 3 is the PPG signal, and the output of the trained target model 3 is the central arterial pulse wave signal, peripheral arterial blood pressure value, and central arterial blood pressure value.

[0338] In some embodiments, to improve the accuracy of target model 3, target model 3 may be periodically / irregularly updated using multiple sets of PPG signals and the corresponding central arterial pulse wave signals, peripheral arterial blood pressure values, and central arterial blood pressure values ​​to obtain target model 4. Because target model 4 is obtained by updating target model 3 based on the user's multiple sets of PPG signals and the corresponding central arterial pulse wave signals, peripheral arterial blood pressure values, and central arterial blood pressure values, the user's central arterial pulse wave signals, peripheral arterial blood pressure values, and central arterial blood pressure values ​​obtained using target model 4 and based on the PPG signals are more accurate than target model 3.

[0339] In some embodiments, after acquiring the blood pressure measurement value and the parameter information for evaluating cardiovascular disease, the wearable device 100 may display the blood pressure measurement value and the parameter information for evaluating cardiovascular disease.

[0340] In some embodiments, after the wearable device 100 obtains the blood pressure measurement value and the parameter information for evaluating cardiovascular disease, the wearable device 100 may display the user interface 2100 shown in FIG21A , which includes the peripheral blood pressure measurement value, the central blood pressure measurement value, and the parameter information for evaluating cardiovascular disease. The blood pressure measurement value may include high pressure and low pressure. For example, the peripheral arterial systolic pressure may be 130 mmHg, and the peripheral arterial diastolic pressure may be 80 mmHg. The central arterial systolic pressure may be 140 mmHg, and the central arterial diastolic pressure may be 90 mmHg. The parameter information for evaluating cardiovascular disease may include: a heart rate of 96 beats / min, good vascular wall elasticity, a cardiac ejection capacity of 65%, and a peripheral vascular resistance of 0.9.

[0341] In other embodiments, after the wearable device 100 obtains the blood pressure measurement value and parameter information for evaluating cardiovascular disease, the wearable device 100 can send the blood pressure measurement value and the parameter information for evaluating cardiovascular disease to an electronic device, and the electronic device displays the blood pressure measurement value and the parameter information for evaluating cardiovascular disease.

[0342] In some embodiments, the wearable device 100 may store blood pressure measurements and cardiovascular disease assessment parameter information within a first time period before the current time, and delete blood pressure measurements and cardiovascular disease assessment parameter information that exceed the first time period to save storage space of the wearable device 100.

[0343] Optionally, the wearable device 100 may also receive a user operation to view blood pressure measurement values ​​and parameter information for assessing cardiovascular disease within a certain time period.

[0344] Exemplarily, the certain period of time may be 24 hours.

[0345] As shown in FIG21B , after the wearable device 100 obtains the blood pressure measurement value and parameter information used to assess cardiovascular disease, the wearable device 100 may display the user interface 2200 shown in FIG21B . User interface 2200 is similar to user interface 2100 , except that user interface 2200 also includes an icon 2201 , which is used to display the blood pressure measurement value and parameter information used to assess cardiovascular disease within a certain time period.

[0346] As shown in Figure 21B, the wearable device 100 can receive the user's input operation (such as a single click) on the icon 2201 in the user interface 2200. In response to the user's input operation, the wearable device 100 can obtain the user's blood pressure measurement value and parameter information for evaluating cardiovascular disease within a certain time period, and display the user interface 2300 shown in Figure 21C.

[0347] User interface 2300 includes a graphical display area for blood pressure measurements over a 24-hour period. This graphical display area includes a 24-hour graph of peripheral arterial systolic pressure, a 24-hour graph of central arterial systolic pressure, a 24-hour graph of peripheral arterial diastolic pressure, and a 24-hour graph of central arterial diastolic pressure. This graphical display area allows users to intuitively view their blood pressure trends over the course of the 24-hour period.

[0348] The user interface 2300 also includes parameter information for assessing cardiovascular disease within 24 hours, such as a heart rate of 98 beats / min, good vascular wall elasticity, cardiac ejection capacity of 70%, and peripheral vascular resistance of 0.85.

[0349] Not limited to 24 hours, the wearable device 100 can also display blood pressure monitoring values ​​within other longer or shorter time periods, and this application does not limit this.

[0350] FIG22 is a flow chart of a blood pressure measurement method provided in this application.

[0351] S2201. Within a first time period, the wearable device inflates an airbag and obtains a first pulse wave signal. During the first time period, the air pressure within the airbag gradually increases over time. The first pulse wave signal is used to obtain a first blood pressure measurement value.

[0352] The first blood pressure measurement value may be a blood pressure value measured by the wearable device at the location where the wearable device is worn. For example, when the wearable device is worn on the user's wrist, the first blood pressure measurement value may be the blood pressure value at the user's wrist.

[0353] The first time period may be a time period corresponding to one or more linear boost sections shown in FIG6 .

[0354] The first pulse wave signal may be a peripheral arterial pulse wave corresponding to one or more linear pressure increasing segments shown in FIG. 13 .

[0355] S2202. During a second time period, the wearable device inflates the airbag and obtains a second pulse wave signal. During the second time period, the air pressure in the airbag remains unchanged or fluctuates within a first range. The second pulse wave signal is used to assess cardiovascular risk.

[0356] The second time period may be a time period corresponding to one or more constant voltage control sections shown in FIG. 6 .

[0357] The second pulse wave signal may be a peripheral arterial pulse wave corresponding to one or more constant pressure control segments shown in FIG. 13 .

[0358] In a possible implementation, cardiovascular risk includes any one or more of the following: heart rate, vascular wall elasticity, cardiac ejection capacity, and peripheral vascular resistance.

[0359] S2203: The wearable device outputs a first blood pressure measurement value and cardiovascular risk.

[0360] The wearable device outputs the first blood pressure measurement value and cardiovascular risk, which may include the wearable device displaying the first blood pressure measurement value and cardiovascular risk, or playing the first blood pressure measurement value and cardiovascular risk by voice, or sending the first blood pressure measurement value and cardiovascular risk to other devices for display.

[0361] Through this method, wearable devices can not only obtain peripheral arterial blood pressure values, but also monitor the user's cardiovascular disease risk and prevent the occurrence of cardiovascular disease.

[0362] In one possible implementation, the method further includes: the wearable device acquiring a third pulse wave signal based on the second pulse wave signal and the first target model; and the wearable device acquiring a second blood pressure measurement value based on the first blood pressure measurement value and the third pulse wave signal.

[0363] The first blood pressure measurement value may be a central arterial blood pressure value. Central arterial blood pressure refers to the blood pressure in the aorta, which directly affects the heart and other organs. Because the aorta is closer to the heart and brain, central arterial blood pressure values ​​are more valuable than peripheral arterial blood pressure values ​​for assessing a user's blood pressure risk.

[0364] The third pulse wave signal may be a central pulse wave signal. The first target model may be the target model 1 shown in the embodiment of FIG17 .

[0365] Through this method, the wearable device can obtain the central arterial blood pressure value while obtaining the peripheral arterial blood pressure value.

[0366] In one possible implementation, before the wearable device obtains the first blood pressure measurement value based on the first pulse wave signal, the method also includes: within a third time period, the wearable device inflates the airbag and obtains a fourth pulse wave signal, and the air pressure in the airbag gradually increases over time within the third time period; the wearable device splices the first pulse wave signal and the fourth pulse wave signal in chronological order to obtain a fifth pulse wave signal, wherein the fifth pulse wave signal is used to obtain the first blood pressure measurement value.

[0367] Optionally, the wearable device may obtain a first blood pressure measurement value based on the fifth pulse wave signal and the airbag pressure signals corresponding to the first time period and the third time period.

[0368] Blood pressure measurement by a wearable device involves a complete inflation-deflation process. During this process, the wearable device can obtain pulse wave signals from multiple linearly increasing pressure segments. The wearable device can then splice these pulse wave signals from multiple linearly increasing pressure segments into a complete pulse wave signal and obtain a first blood pressure measurement value based on the complete pulse wave signal.

[0369] The third time period may be a time period corresponding to one or more linear boost sections shown in FIG. 6 .

[0370] The fourth pulse wave signal may be a peripheral arterial pulse wave corresponding to one or more linear pressure increasing segments shown in FIG. 13 .

[0371] The fifth pulse wave signal may be the peripheral arterial pulse wave shown in FIG. 14 .

[0372] In one possible implementation, before the wearable device outputs the first blood pressure measurement value and cardiovascular risk, the method also includes: within a fourth time period, the wearable device inflates the airbag and obtains a sixth pulse wave signal, and the air pressure in the airbag remains unchanged or fluctuates within a first range during the fourth time period; the wearable device obtains a second pulse wave signal, specifically including: the wearable device filters out a second pulse wave signal with a better signal from the second pulse wave signals.

[0373] Optionally, the wearable device may obtain a third pulse wave signal based on the second pulse wave signal and the first target model; and the wearable device may obtain parameter information for assessing cardiovascular risk based on the third pulse wave signal.

[0374] Wearable devices measure blood pressure through a complete inflation-deflation process. During this process, the wearable device can obtain pulse wave signals in multiple constant pressure control segments.

[0375] In one possible implementation, a wearable device can screen pulse wave signals from multiple constant-voltage control segments to obtain a better pulse wave signal, and then obtain a central pulse wave signal based on the pulse wave signal. Cardiovascular risk can then be assessed based on the central pulse wave signal.

[0376] In another possible implementation, the wearable device can obtain a central pulse wave signal based on the pulse wave signal in each constant pressure control segment. Cardiovascular risk is then assessed based on each central pulse wave signal. Finally, the multiple cardiovascular risk values ​​are averaged to obtain a final cardiovascular risk estimate.

[0377] The fourth time period may be a time period corresponding to one or more constant voltage control sections shown in FIG. 6 .

[0378] The sixth pulse wave signal may be a peripheral arterial pulse wave corresponding to one or more constant pressure control segments shown in FIG. 13 .

[0379] For details, please refer to the description in the embodiments of Figures 16 to 18.

[0380] In one possible implementation, the blood pressure measurement device also includes a driving circuit, a micropump and an air pressure sensor, the driving circuit is used to control the inflation rate of the micropump into the airbag, the air pressure sensor is used to obtain an arterial pulse wave signal, and the deflation rate of the micropump is a first deflation rate; the wearable device inflates the airbag and obtains the first pulse wave signal, specifically including: the wearable device controls the driving circuit to a first duty cycle, controls the micropump through the driving circuit to inflate the airbag at a first inflation rate, and obtains the first pulse wave signal through the air pressure sensor, wherein the first inflation rate is greater than the first deflation rate.

[0381] In combination with the first aspect, in one possible implementation, the wearable device inflates the airbag and obtains a second pulse wave signal, specifically including: the wearable device controls the driving circuit to a second duty cycle, controls the micropump through the driving circuit to inflate the airbag at a second inflation rate, and obtains the second pulse wave signal through the air pressure sensor, wherein the second duty cycle is less than the first duty cycle, the second inflation rate is less than the first inflation rate, and the second inflation rate is equal to the first deflation rate.

[0382] In combination with the first aspect, in a possible implementation, the blood pressure measurement device further includes an air valve, which is used to discharge the gas in the airbag; in the process of the wearable device acquiring the first pulse wave signal and the second pulse wave signal, the method further includes: the wearable device closing the air valve.

[0383] In some embodiments, the wearable device can control the increase and constancy of the air pressure in the airbag by adjusting the inflation speed of the micropump to obtain the first blood pressure measurement value and cardiovascular risk.

[0384] For details, please refer to the description in the embodiments of FIG. 7 to FIG. 9 .

[0385] In one possible implementation, the blood pressure measurement device further includes a drive circuit, a micropump, an air pressure sensor, and an air valve. The drive circuit is used to control the inflation rate of the micropump into the airbag. The air pressure sensor is used to obtain an arterial pulse wave signal. The air valve is used to discharge gas from the airbag. The deflation rate of the micropump is a first deflation rate. The wearable device inflates the airbag and obtains the first pulse wave signal, specifically including:

[0386] The wearable device controls the driving circuit to a first duty cycle, controls the micropump through the driving circuit to inflate the airbag at a first inflation rate, closes the air valve, and obtains a first pulse wave signal through the air pressure sensor, wherein the first inflation rate is greater than the first deflation rate.

[0387] In combination with the first aspect, in one possible implementation, the wearable device inflates the airbag and obtains a second pulse wave signal, specifically including: the wearable device controls the driving circuit to a first duty cycle, controls the micropump through the driving circuit to inflate the airbag at a first inflation rate, opens the air valve and discharges the gas in the airbag through the air valve at a second deflation rate, wherein the first inflation rate is equal to the sum of the first deflation rate and the second deflation rate.

[0388] In some embodiments, the wearable device can adjust the inflation speed of the micropump to remain constant and control the deflation speed of the air valve to increase and maintain the air pressure in the airbag constant, so as to obtain the first blood pressure measurement value and cardiovascular risk.

[0389] For details, please refer to the description in the embodiments of Figures 10 to 12.

[0390] The above are only some of the embodiments and implementations of this application. The scope of protection of this application is not limited thereto. Any changes or substitutions that can be easily conceived by a person skilled in the art within the technical scope disclosed in this application should be included in the scope of protection of this application. Therefore, the scope of protection of this application should be based on the scope of protection of the claims.

[0391] It is understood that the various user interfaces described in the embodiments of this application are merely exemplary interfaces and do not limit the scope of this application. In other embodiments, the user interface may adopt a different interface layout, include more or fewer controls, and add or remove other functional options. As long as they are based on the same inventive concept provided by this application, they are all within the scope of protection of this application.

[0392] It should be noted that, without causing any contradiction or conflict, any feature in any embodiment of the present application, or any part of any feature, can be combined, and the combined technical solution is also within the scope of the embodiments of the present application.

[0393] 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 above embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the above 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.

Claims

1. A blood pressure measurement method, characterized in that: The method is applied to a wearable device, the wearable device includes a blood pressure measuring device, the blood pressure measuring device includes an air bag, and the method includes: In a first time period, the wearable device inflates the airbag and obtains a first pulse wave signal, and the air pressure in the airbag gradually increases over time in the first time period, wherein the first pulse wave signal is used to obtain a first blood pressure measurement value; In a second time period, the wearable device inflates the airbag and obtains a second pulse wave signal, wherein the air pressure in the airbag remains unchanged or fluctuates within a first range during the second time period, wherein the second pulse wave signal is used to assess cardiovascular risk; The wearable device outputs the first blood pressure measurement and the cardiovascular risk.

2. The method according to claim 1, characterized in that The method further comprises: The wearable device acquires a third pulse wave signal based on the second pulse wave signal and the first target model; The wearable device obtains a second blood pressure measurement value based on the first blood pressure measurement value and the third pulse wave signal.

3. The method according to claim 1 or 2, characterized in that: The cardiovascular risk includes any one or more of the following: heart rate, vascular wall elasticity, cardiac ejection capacity, and peripheral vascular resistance.

4. The method according to any one of claims 1 to 3, characterized in that: Before the wearable device outputs the first blood pressure measurement value and the cardiovascular risk, the method further includes: In a third time period, the wearable device inflates the airbag and acquires a fourth pulse wave signal, and the air pressure in the airbag gradually increases over time in the third time period; The wearable device splices the first pulse wave signal and the fourth pulse wave signal in chronological order to obtain a fifth pulse wave signal, wherein the fifth pulse wave signal is used to obtain the first blood pressure measurement value; The wearable device obtains the first blood pressure measurement value based on the fifth pulse wave signal and the airbag pressure signals corresponding to the first time period and the third time period.

5. The method according to any one of claims 1 to 3, characterized in that: Before the wearable device outputs the first blood pressure measurement value and the cardiovascular risk, the method further includes: In a fourth time period, the wearable device inflates the airbag and obtains a sixth pulse wave signal, and the air pressure in the airbag remains unchanged or fluctuates within the first range in the fourth time period; The wearable device acquires a second pulse wave signal, specifically comprising: The wearable device selects the second pulse wave signal having a better signal from the second pulse wave signal and the sixth pulse wave signal.

6. The method according to any one of claims 1 to 5, characterized in that: The blood pressure measurement device further includes a driving circuit, a micro pump and an air pressure sensor, wherein the driving circuit is used to control the inflation rate of the micro pump into the air bag, the air pressure sensor is used to obtain an arterial pulse wave signal, and the deflation rate of the micro pump is a first deflation rate; the wearable device inflates the air bag and obtains the first pulse wave signal, specifically including: The wearable device controls the driving circuit to have a first duty cycle, controls the micropump through the driving circuit to inflate the airbag at a first inflation rate, and obtains the first pulse wave signal through the air pressure sensor, wherein the first inflation rate is greater than the first deflation rate.

7. The method according to claim 6, characterized in that The wearable device inflates the airbag and obtains a second pulse wave signal, specifically including: The wearable device controls the driving circuit to a second duty cycle, controls the micropump through the driving circuit to inflate the airbag at a second inflation rate, and obtains the second pulse wave signal through the air pressure sensor, wherein the second duty cycle is smaller than the first duty cycle, the second inflation rate is smaller than the first inflation rate, and the second inflation rate is equal to the first deflation rate.

8. The method according to claim 6 or 7, characterized in that: The blood pressure measurement device further includes an air valve, which is used to discharge the gas in the airbag; in the process of the wearable device acquiring the first pulse wave signal and the second pulse wave signal, the method further includes: The wearable device closes the air valve.

9. The method according to any one of claims 1 to 5, characterized in that: The blood pressure measurement device further includes a driving circuit, a micro pump, an air pressure sensor and an air valve, wherein the driving circuit is used to control the inflation rate of the micro pump into the air bag, the air pressure sensor is used to obtain an arterial pulse wave signal, the air valve is used to discharge the gas in the air bag, and the deflation rate of the micro pump is a first deflation rate; the wearable device inflates the air bag and obtains a first pulse wave signal, specifically including: The wearable device controls the driving circuit to a first duty cycle, controls the micropump through the driving circuit to inflate the airbag at a first inflation rate, closes the air valve, and obtains the first pulse wave signal through the air pressure sensor, wherein the first inflation rate is greater than the first deflation rate.

10. The method according to claim 9, characterized in that The wearable device inflates the airbag and obtains a second pulse wave signal, specifically including: The wearable device controls the driving circuit to have the first duty cycle, controls the micropump through the driving circuit to inflate the airbag at the first inflation rate, opens the air valve and discharges the gas in the airbag through the air valve at a second deflation rate, wherein the first inflation rate is equal to the sum of the first deflation rate and the second deflation rate.

11. The method according to any one of claims 8 to 10, characterized in that: After the wearable device acquires the first pulse wave signal and the second pulse wave signal, the method further includes: The wearable device opens the air valve and discharges the gas in the airbag through the air valve.

12. A wearable device, characterized in that: The wearable device includes a blood pressure measuring device, a memory, and a processor; wherein the blood pressure measuring device, the memory, and the processor are coupled, and the memory is used to store a computer program. When the processor executes and calls the computer program, the wearable device executes the method described in any one of claims 1-11.

13. 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 described in any one of claims 1-11.

Images