Blood pressure measurement method and wearable device

Abstract

The application discloses a blood pressure measuring method and a wearable device, and relates to the technical field of terminals. The blood pressure measuring method can capture blood pressure in a peak period, solve the problem that morning peak hypertension and concealed hypertension are difficult to find, and bring a more comfortable blood pressure measuring experience to a user. The method is applied to a wearable device and comprises the following steps: starting a first mode to measure blood pressure of a user in a first period; determining a blood pressure abnormal period according to the blood pressure of the user and a measurement period corresponding to the blood pressure of the user; and starting a second mode to measure blood pressure of the user in the blood pressure abnormal period, wherein the second mode is different from the first mode.

Description

Technical Field

[0001] This application relates to the field of terminal technology, and in particular to blood pressure measurement methods and wearable devices. Background Technology

[0002] Hypertension, a serious chronic disease, increases the risk of heart, brain, and kidney disease, as well as other illnesses, and is a risk factor for cardiovascular and cerebrovascular events. Therefore, effective blood pressure measurement is crucial for improving awareness and control rates of hypertension.

[0003] Human blood pressure fluctuates constantly, and it's best to measure it during its peak hours. If the blood pressure is within the target range during this peak period, it can be confirmed that the user's blood pressure is within the normal range. Therefore, accurately capturing blood pressure during peak hours is crucial. Summary of the Invention

[0004] This application provides a blood pressure measurement method and wearable device that can capture blood pressure during peak hours, solving the problem of difficult-to-detect morning hypertension, masked hypertension, and other conditions, and providing users with a more comfortable blood pressure measurement experience.

[0005] To achieve the above objectives, this application adopts the following technical solution:

[0006] In a first aspect, a blood pressure measurement method is provided for use in a wearable device. The method includes: activating a first mode to measure a user's blood pressure during a first time period; determining an abnormal blood pressure period based on the user's blood pressure and the corresponding measurement time period; and activating a second mode to measure the user's blood pressure during the abnormal blood pressure period, wherein the second mode is different from the first mode.

[0007] Based on the above technical solution, wearable devices can continuously monitor a user's blood pressure using a first method, determining periods of abnormal blood pressure based on the monitored blood pressure and monitoring time. Then, a second method, different from the first, is used to measure the user's blood pressure during these abnormal periods. For example, the first method can be user-insensible, while the second method can be user-sensible. This way, frequent blood pressure measurements using a user-insensible method will not cause discomfort to the user, providing a more comfortable blood pressure measurement experience. Furthermore, by determining the abnormal blood pressure periods based on the monitored blood pressure and monitoring time, these abnormal periods can be identified, which may be peak blood pressure periods. Measuring the user's blood pressure during these abnormal periods using a sensory method can more accurately capture blood pressure during peak periods, solving the problem of difficult-to-detect morning hypertension and masked hypertension.

[0008] In one possible design, the first method includes determining the user's blood pressure based on at least one of photoplethysmography (PGG) signals, a pressure sensor signal, and an electrocardiogram (ECG). The second method includes determining the user's blood pressure using an oscillometric method. Based on this design, determining the user's blood pressure using at least one of the following methods is imperceptible to the user, while determining the user's blood pressure using an oscillometric method is perceptible to the user. Therefore, continuously monitoring the user's blood pressure in an imperceptible manner to identify periods of abnormal blood pressure will not cause discomfort to the user, providing a more comfortable blood pressure measurement experience. Furthermore, the perceptible method is more accurate than the imperceptible method. Therefore, further monitoring blood pressure during periods of abnormal blood pressure using the perceptible method can more accurately capture blood pressure during peak periods, solving the problem of difficult-to-detect morning hypertension and masked hypertension.

[0009] In one possible design, abnormal blood pressure periods are determined based on the user's blood pressure and the corresponding measurement time period. This includes: if the user's blood pressure measured within a time period within the first time period meets preset abnormal blood pressure conditions, then that time period is determined to be an abnormal blood pressure period. Based on this design, when the user's blood pressure measured within a certain time period meets the preset abnormal blood pressure conditions, that time period can be determined as an abnormal blood pressure period. Furthermore, by measuring the user's blood pressure during abnormal blood pressure periods in a way that is perceptible to the user, peak blood pressure can be captured more accurately, solving the problem of difficulty in detecting morning hypertension, masked hypertension, and other conditions.

[0010] In one possible design, the preset abnormal blood pressure conditions include at least one of blood pressure conditions, fluctuation conditions, and quantity conditions. Blood pressure conditions include: the user's blood pressure does not meet the preset blood pressure range, and / or, the user's blood pressure curve does not meet the preset curve. Fluctuation conditions include a first fluctuation condition, which includes: the fluctuation value of the user's blood pressure does not meet the preset fluctuation range. Quantity conditions include: for a given time period, the proportion of the number of user blood pressure measurements that meet the blood pressure conditions and / or fluctuation conditions to the number of time periods included in the first time period meets a first proportion range; or, the number of user blood pressure measurements that meet the blood pressure conditions and / or fluctuation conditions meets a first quantity range. Based on this design, whether a time period is an abnormal blood pressure period can be determined according to the blood pressure conditions, fluctuation conditions, and quantity conditions. Then, by measuring the user's blood pressure during abnormal blood pressure periods in a way that is perceptible to the user, peak blood pressure can be captured more accurately, solving the problem of difficult-to-detect morning hypertension, masked hypertension, and other conditions.

[0011] In one possible design, the period of abnormal blood pressure is during the daytime. A second method is activated to measure the user's blood pressure during this period, including: activating the second method to measure the user's blood pressure at a high frequency during this period. Based on this design, since the user's blood pressure is measured during the daytime, measuring the user's blood pressure in a way that the user is aware of will cause less discomfort due to the user being awake. This will not affect the user's physical condition and will allow for a more accurate assessment of the user's blood pressure.

[0012] In one possible design, the first time period includes n days, where n is greater than 0. After determining the abnormal blood pressure periods based on the user's blood pressure and the corresponding measurement time periods, the method further includes: if, within the first time period, the number of days in which the total duration of abnormal blood pressure periods within a day meets a second ratio range is greater than a second number range, or the number of days in which the total duration of abnormal blood pressure periods within a day meets a first duration range is greater than a second number range, then a second method for measuring the user's blood pressure during the day is initiated. Based on this design, when the abnormal blood pressure periods within a day meet the above conditions, it indicates that the user has a higher likelihood of abnormal blood pressure throughout the day, meaning the user may be at risk of hypertension throughout the day. In other words, measuring the user's blood pressure throughout the day in a way that is perceptible to the user can provide a more accurate picture of the user's blood pressure.

[0013] In one possible design, the fluctuation conditions also include a second fluctuation condition and a third fluctuation condition; the second fluctuation condition includes: the user's blood pressure is greater than or equal to the first fluctuation threshold and less than or equal to the second fluctuation threshold; the third fluctuation condition includes: the user's blood pressure is greater than the second fluctuation threshold.

[0014] In one possible design, the abnormal blood pressure period occurs at night. A second method is initiated to measure the user's blood pressure during this abnormal period. This includes: if the abnormal blood pressure period meets a second fluctuation condition, then the second method is initiated to measure the user's blood pressure at a low frequency during this period. Based on this design, if the abnormal blood pressure period meets the second fluctuation condition, it indicates that the blood pressure fluctuation during this period is relatively small. When the wearable device measures the user's blood pressure during the abnormal period in a way that is perceptible to the user, it can use a lower frequency to measure the user's blood pressure. In this way, fewer blood pressure measurements are needed to reflect the user's true blood pressure, saving power consumption of the wearable device while accurately capturing blood pressure during peak periods.

[0015] In one possible design, the abnormal blood pressure period occurs at night. A second method is activated to measure the user's blood pressure during this abnormal period. This includes: if the abnormal blood pressure period meets a third fluctuation condition, then the second method is activated to measure the user's blood pressure at a high frequency during this period. Based on this design, if the blood pressure fluctuation period meets the third fluctuation condition, it indicates that the fluctuation during the abnormal blood pressure period is significant. When the wearable device measures the user's blood pressure during this abnormal period using a sensor-based method, it can use a higher frequency to measure the user's blood pressure. In this way, more blood pressure measurements are needed to reflect the user's true blood pressure, allowing for more accurate capture of blood pressure during peak periods.

[0016] In one possible design, before initiating the second method to measure the user's blood pressure during the abnormal blood pressure period, the method further includes: outputting a reminder message to remind the user to initiate the second method to measure their blood pressure during the abnormal blood pressure period. Based on this design, users can initiate a more conscious method to measure their blood pressure during abnormal periods according to their actual needs, which can meet the user's actual blood pressure measurement needs and reduce the probability of causing users an uncomfortable blood pressure measurement experience.

[0017] In one possible design, before outputting the reminder message, the method further includes determining that the period of abnormal blood pressure is during the daytime. Based on this design, during the daytime, the wearable device outputs a reminder message, prompting the user to activate a sensory method to measure their blood pressure during the abnormal blood pressure period. During the daytime, the probability of the user being asleep is low, thus reducing the likelihood of disturbing the user, and the probability of the user seeing the reminder message is high, enabling timely activation of the sensory method to measure the user's blood pressure during the abnormal blood pressure period, resulting in more accurate blood pressure information.

[0018] In one possible design, initiating a second method to measure a user's blood pressure during an abnormal period includes: receiving a user's input; and responding to the user's input by initiating the second method to measure the user's blood pressure during the abnormal period. Based on this design, initiating the second method to measure the user's blood pressure during the abnormal period in response to the user's input, since the second method is a blood pressure measurement method that the user is aware of, can meet the user's actual needs and reduce the probability of causing the user an uncomfortable blood pressure measurement experience.

[0019] In a second aspect, a wearable device is provided, which has the function of implementing the method as described in the first aspect and any of the designs above. This function can be implemented by hardware or by hardware executing corresponding software. The hardware or software includes one or more modules corresponding to the above-described function. In one possible example, the wearable device includes a processing unit (or processing module); the processing unit is configured to: initiate a first mode to measure a user's blood pressure in a first time period; determine an abnormal blood pressure period based on the user's blood pressure and the corresponding measurement time period; and initiate a second mode to measure the user's blood pressure during the abnormal blood pressure period, the second mode being different from the first mode.

[0020] In one possible design, the first approach includes determining the user's blood pressure based on at least one of photoplethysmography (PGG) signals, pressure sensor signals, and electrocardiogram (ECG). The second approach includes determining the user's blood pressure using oscillometric methods.

[0021] In one possible design, the processing unit is specifically used to determine the time period as a blood pressure abnormality period if the user's blood pressure measured during the time period included in the first time period meets the preset blood pressure abnormality conditions.

[0022] In one possible design, the preset abnormal blood pressure conditions include at least one of blood pressure conditions, fluctuation conditions, and quantity conditions; the blood pressure conditions include: the user's blood pressure does not meet the preset blood pressure range, and / or, the user's blood pressure curve does not meet the preset curve; the fluctuation conditions include a first fluctuation condition, which includes: the fluctuation value of the user's blood pressure does not meet the preset fluctuation range; the quantity conditions include: for a time period, the proportion of the number of user blood pressure measurements that meet the blood pressure conditions and / or fluctuation conditions to the number of time periods included in the first time period meets a first proportion range; or, the number of user blood pressure measurements that meet the blood pressure conditions and / or fluctuation conditions meets a first quantity range.

[0023] In one possible design, the period of abnormal blood pressure is a daytime period; the processing unit is specifically used to initiate a second mode to measure the user's blood pressure at a high frequency during the period of abnormal blood pressure.

[0024] In one possible design, the first time period includes n days, where n is greater than 0; the processing unit is further configured to activate the second method to measure the user's blood pressure during the day if, within the first time period, the number of days in which the proportion of the total duration of abnormal blood pressure periods included in the daytime to the total duration of the daytime is greater than a second number range, or the number of days in which the total duration of abnormal blood pressure periods included in the daytime is greater than a first duration range, is greater than a second number range.

[0025] In one possible design, the fluctuation conditions also include a second fluctuation condition and a third fluctuation condition; the second fluctuation condition includes: the user's blood pressure is greater than or equal to the first fluctuation threshold and less than or equal to the second fluctuation threshold; the third fluctuation condition includes: the user's blood pressure is greater than the second fluctuation threshold.

[0026] In one possible design, the period of abnormal blood pressure is at night; the processing unit is specifically used to activate a second mode to measure the user's blood pressure at a low frequency during the period of abnormal blood pressure if the period of abnormal blood pressure meets the second fluctuation condition.

[0027] In one possible design, the period of abnormal blood pressure is at night; the processing unit is specifically used to activate the second mode to measure the user's blood pressure at a high frequency during the period of abnormal blood pressure if the period of abnormal blood pressure meets the third fluctuation condition.

[0028] In one possible design, the processing unit is also used to output a reminder message, which reminds the user to activate the second method to measure the user's blood pressure during periods of abnormal blood pressure.

[0029] In one possible design, the processing unit is also used to determine that the period of abnormal blood pressure is during the daytime.

[0030] In one possible design, the processing unit is specifically used to receive user operations; in response to the user operations, it initiates a second method to measure the user's blood pressure during the abnormal blood pressure period.

[0031] Thirdly, a wearable device is provided, comprising: a processor, a memory, and a sensor, wherein the memory and the sensor are coupled to the processor, the memory is used to store computer program code, the computer program code including computer instructions, and the processor reads the computer instructions from the memory to cause the wearable device to perform the method as described in the first aspect and any of the designs therein.

[0032] For example, the sensor includes one or more of a PPG sensor and a pressure sensor.

[0033] In one possible design, the wearable device may also include a display screen, which can be used by the electronic device to perform display operations, such as outputting reminder messages.

[0034] In one possible design, the wearable device also includes a communication interface that allows the wearable device to communicate with other devices (such as electronic devices). For example, this communication interface could be a transceiver, an input / output interface, an interface circuit, an output circuit, an input circuit, a pin, or related circuitry.

[0035] Fourthly, a computer-readable storage medium is provided, comprising a computer program or instructions that, when executed on a wearable device, cause the wearable device to perform the method described in the first aspect and any of the designs therein.

[0036] Fifthly, a computer program product is provided that, when run on a computer, causes the computer to perform the method described in the first aspect and any of the designs described above.

[0037] A sixth aspect provides a circuit system including processing circuitry configured to perform the method described in the first aspect and any of the designs herein.

[0038] In a seventh aspect, a chip system is provided, including at least one processor and at least one interface circuit, wherein the at least one interface circuit is used to perform transceiver functions and send instructions to the at least one processor, and when the at least one processor executes instructions, the at least one processor performs the method as described in the first aspect and any of the designs therein.

[0039] It should be noted that the technical effects of any of the designs in the second to seventh aspects mentioned above can be found in the technical effects of the corresponding designs in the first aspect, and will not be repeated here. Attached Figure Description

[0040] Figure 1 This is a schematic diagram of the structure of a wearable device provided in an embodiment of this application;

[0041] Figure 2 This is a schematic diagram of the structure of another wearable device provided in an embodiment of this application;

[0042] Figure 3 A schematic diagram of a blood pressure curve provided for an embodiment of this application;

[0043] Figures 4 to 10 Interface illustrations provided for embodiments of this application Figure 1 Interface illustration Figure 7 ;

[0044] Figure 11 This is a schematic diagram of the structure of another wearable device provided in an embodiment of this application;

[0045] Figure 12 This is a schematic diagram of a chip system provided in an embodiment of this application. Detailed Implementation

[0046] The technical solutions provided in the embodiments of this application will be described in detail below with reference to the accompanying drawings.

[0047] The terms “comprising” and “having”, and any variations thereof, used in the description of this application are intended to cover non-exclusive inclusion. For example, a process, method, system, product, or apparatus that includes a series of steps or units is not limited to the steps or units listed, but may optionally include other steps or units not listed, or may optionally include other steps or units inherent to such process, method, product, or apparatus.

[0048] It should be noted that in the embodiments of this application, the words "exemplary" or "for example" are used to indicate examples, illustrations, or explanations. Any embodiment or design scheme described as "exemplary" or "for example" in the embodiments of this application should not be construed as being more preferred or advantageous than other embodiments or design schemes. Specifically, the use of the words "exemplary" or "for example" is intended to present the relevant concepts in a specific manner.

[0049] In the description of this application, unless otherwise stated, "multiple" means two or more. "And / or" in this document is merely a description of the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can represent: A existing alone, A and B existing simultaneously, or B existing alone.

[0050] Hypertension, a serious chronic disease, increases the risk of heart, brain, and kidney disease, as well as other illnesses, and is a risk factor for cardiovascular and cerebrovascular events. Currently, hypertension presents in various forms, such as morning hypertension during the day and masked hypertension at night. Measuring blood pressure during peak hours is crucial for the identification and control of hypertension.

[0051] Human blood pressure is constantly changing. Although the 24-hour blood pressure curve follows a certain pattern—a "dipper" shape with two peaks and a trough (higher between 6:00 and 10:00 and between 16:00 and 18:00, reaching a low between 0:00 and 2:00, then slightly rising and remaining at that level until 6:00—this pattern is easily affected by various factors such as environment, lifestyle, physical condition, emotional stress, illness, and medication, causing variations in peak and trough values. Furthermore, due to individual differences, the peak blood pressure periods also differ.

[0052] Among some related solutions, portable devices that can measure blood pressure relatively accurately, such as blood pressure watches and upper arm blood pressure monitors, mostly rely on the oscillometric method. The oscillometric method determines blood pressure based on the amplitude changes of pressure oscillations during the decompression of the cuff. However, these blood pressure measurement devices require the user to actively initiate the measurement; for example, the user uses the device when they need to measure their blood pressure. Alternatively, the device may remind the user to measure their blood pressure in the morning and evening, but the specific reminder time is set based on experience or user settings. Thus, because the blood pressure measurement time may not be during peak hours, it cannot capture blood pressure during peak periods, making it difficult to detect morning hypertension and masked hypertension.

[0053] In other related solutions, blood pressure measuring devices can perform 24-hour blood pressure measurements at fixed time intervals, typically every 15 to 30 minutes during the day and every 30 to 60 minutes at night. This solution can obtain blood pressure at any time, thus capturing peak blood pressure levels. However, this solution uses the oscillometric method, which causes strong pressure on the watch during measurement, leading to discomfort with frequent use. Furthermore, nighttime use can easily disrupt sleep, potentially resulting in blood pressure readings that do not accurately reflect the user's true condition.

[0054] Based on this, the embodiments of this application provide a blood pressure measurement method that can more accurately capture blood pressure during peak hours, solving the problem of difficulty in detecting morning hypertension, masked hypertension, and other conditions. It can also solve the discomfort caused by frequent blood pressure measurements, bringing users a more comfortable blood pressure measurement experience.

[0055] The technical solutions provided in this application embodiment can be applied to wearable device 100, or to a system containing wearable device 100.

[0056] Optionally, the wearable device 100 may be, for example, a smartwatch, smart bracelet, smart ankle bracelet, smart ring, wireless earphones, smart glasses, smart helmet, or any other device with blood pressure measurement functionality. The operating system installed on the wearable device 100 may include, but is not limited to, [other options]. Alternatively, other operating systems may be used. In some embodiments, the wearable device 100 may be a fixed device or a portable device. This application does not limit the specific type of wearable device 100 or the operating system installed on it.

[0057] Figure 1 A schematic diagram of the structure of the wearable device 100 is shown.

[0058] Wearable device 100 may include a processor 110, a memory 120, a universal serial bus (USB) interface 130, a charging management module 140, a power management module 141, a battery 142, antenna 1, antenna 2, a mobile communication module 150, a wireless communication module 160, an audio module 170, a sensor module 180, a button 190, a motor 191, an indicator 192, a camera 193, a display screen 194, an electrocardiogram (ECG) acquisition module 195, etc. The sensor module 180 may include a photoplethysmography (PPG) pulse wave sensor 180A, a pressure sensor 180B, etc.

[0059] Processor 110 may include one or more processing units, such as application processors (APs), modem processors, graphics processing units (GPUs), image signal processors (ISPs), controllers, video codecs, digital signal processors (DSPs), baseband processors, and / or neural network processing units (NPUs). These different processing units may be independent devices or integrated into one or more processors.

[0060] The controller can generate operation control signals based on the instruction opcode and timing signals to complete the control of instruction fetching and execution.

[0061] The processor 110 may also include a memory for storing instructions and data. In some embodiments, the memory in the processor 110 is a cache memory. This memory can store instructions or data that the processor 110 has just used or that are used repeatedly. If the processor 110 needs to use the instruction or data again, it can retrieve it directly from the memory. This avoids repeated accesses, reduces the waiting time of the processor 110, and thus improves the efficiency of the system.

[0062] In some embodiments, the processor 110 may include one or more interfaces, such as a USB interface 130.

[0063] The charging management module 140 is used to receive charging input from the charger. The charger can be a wireless charger or a wired charger.

[0064] The power management module 141 is used to connect the battery 142, the charging management module 140, and the processor 110. The power management module 141 receives input from the battery 142 and / or the charging management module 140 to power the processor 110, memory 120, display 194, camera 193, and wireless communication module 160, etc.

[0065] The wireless communication function of the wearable device 100 can be achieved through antenna 1, antenna 2, mobile communication module 150, wireless communication module 160, etc.

[0066] Antenna 1 and antenna 2 are used to transmit and receive electromagnetic wave signals. Each antenna in wearable device 100 can be used to cover one or more communication frequency bands. Different antennas can also be reused to improve antenna utilization.

[0067] The mobile communication module 150 can provide solutions for wireless communication, including 2G / 3G / 4G / 5G, applied to wearable devices 100. The mobile communication module 150 may include at least one filter, switch, power amplifier, low noise amplifier (LNA), etc.

[0068] The wireless communication module 160 can provide solutions for wireless communication applications on wearable devices 100, 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), and infrared (IR) technologies.

[0069] In some embodiments, the antenna 1 of the wearable device 100 is coupled to the mobile communication module 150, and the antenna 2 is coupled to the wireless communication module 160, so that the wearable device 100 can communicate with the network and other devices through wireless communication technology.

[0070] The wearable device 100 implements display functions through a GPU, a display screen 194, and an application processor. The GPU is a microprocessor for image processing, connected to the display screen 194 and the application processor. The GPU is used to perform mathematical and geometric calculations for graphics rendering. The processor 110 may include one or more GPUs, which execute program instructions to generate or modify display information.

[0071] Display screen 194 is used to display images, videos, etc. Display screen 194 includes a display panel. In some embodiments, wearable device 100 may include one or N displays screens 194, where N is a positive integer greater than 1. In some embodiments of this application, display screen 194 can be used to output various reminder messages.

[0072] Camera 193 is used to capture still images or videos. In some embodiments, wearable device 100 may include one or N cameras 193, where N is a positive integer greater than 1.

[0073] The memory 120 can be used to store computer executable program code, which includes instructions. The memory 120 may include a program storage area and a data storage area. The program storage area may store the operating system, at least one application program required for a function (such as sound playback, image playback, etc.), etc. The data storage area may store data created during the use of the wearable device 100 (such as audio data, phonebook, etc.). Furthermore, the memory 120 may include high-speed random access memory, and may also include non-volatile memory, such as at least one disk storage device, flash memory device, universal flash storage (UFS), etc. The processor 110 executes various functional applications and data processing of the wearable device 100 by running instructions stored in the memory 120 and / or instructions stored in memory disposed within the processor.

[0074] Wearable device 100 can implement audio functions through audio module 170 and application processor, such as music playback and recording.

[0075] The audio module 170 is used to convert digital audio information into analog audio signals for output, and also to convert analog audio input into digital audio signals. The audio module 170 can also be used for encoding and decoding audio signals. The audio module 170 may include a speaker, receiver, microphone, and application processor to implement audio functions. In some embodiments of this application, the audio module 170 can also be used to output various reminder messages.

[0076] The photoplethysmography (PPG) sensor 180A, based on an LED light source and detector, obtains a PPG signal by measuring the attenuated light reflected and absorbed by human blood vessels and tissues using photoplethysmography (PPG). In some embodiments of this application, the wearable device 100 can obtain the user's blood pressure by analyzing the PPG signal obtained by the PPG sensor 180A.

[0077] Pressure sensor 180B is used to sense pressure signals and can convert the pressure signals into electrical signals. In some embodiments, pressure sensor 180B can be disposed on display screen 194. There are many types of pressure sensors 180B, such as resistive pressure sensors, inductive pressure sensors, and capacitive pressure sensors. A capacitive pressure sensor may include at least two parallel plates with conductive material. When a force is applied to pressure sensor 180B, the capacitance between the electrodes changes. Electronic device 100 determines the pressure intensity based on the change in capacitance. When a touch operation is applied to display screen 194, electronic device 100 detects the intensity of the touch operation based on pressure sensor 180B. Electronic device 100 can also calculate the touch location based on the detection signal from pressure sensor 180B. In some embodiments of this application, the signal collected by pressure sensor 180B can also be used to determine the user's blood pressure.

[0078] Optionally, the sensor module 180 may also include a barometric pressure sensor, a magnetic sensor, a distance sensor, a proximity light sensor, a gyroscope sensor, a fingerprint sensor, an ambient light sensor, a bone conduction sensor, etc.

[0079] Button 190 includes the power button, volume buttons, etc. Button 190 can be a mechanical button or a touch button.

[0080] Motor 191 can generate vibration alerts.

[0081] Indicator 192 can be an indicator light, used to indicate charging status, power changes, or to indicate messages, missed calls, notifications, etc.

[0082] ECG acquisition module 195 can be used to acquire the user's electrocardiogram (ECG). In some embodiments of this application, the ECG can be used to determine the user's blood pressure.

[0083] It is understood that the above are merely illustrative examples illustrating the structure of the wearable device 100 in this application embodiment, and do not constitute a limitation on the structure or form of the wearable device 100. This application embodiment does not limit the structure or form of the wearable device 100. For example, Figure 2 Another exemplary structure for a wearable device is shown. For example... Figure 2 As shown, the wearable device includes: a processor 201, a memory 202, and a sensor 203. The implementation of the processor 201, memory 202, and sensor 203 can be found in [reference needed]. Figure 1 The implementation of the processor, memory, and sensor is shown.

[0084] In other embodiments of this application, the wearable device may include a ratio Figure 1 , Figure 2The diagram shows more or fewer components, or combinations of components, or splitting of components, or replacement of components, or different component arrangements. The components shown can be implemented in hardware, software, or a combination of both.

[0085] The technical solutions involved in the following embodiments can all be applied to applications such as... Figure 1 , Figure 2 Implemented in the device with the structure shown.

[0086] This application provides a blood pressure measurement method applied to wearable devices. The wearable device can continuously monitor a user's blood pressure in a non-invasive manner. Based on the monitored blood pressure and monitoring time, it identifies periods of abnormal blood pressure and then measures the user's blood pressure during these abnormal periods using a sensor-based method. This non-invasive approach to frequent blood pressure measurement avoids discomfort for the user, providing a more comfortable blood pressure measurement experience. Furthermore, by identifying abnormal blood pressure periods based on the monitored blood pressure and monitoring time, which may represent peak blood pressure periods, and then measuring the user's blood pressure during these abnormal periods using a sensor-based method, it can more accurately capture blood pressure during peak periods, addressing the difficulty in detecting morning hypertension, masked hypertension, and other conditions.

[0087] It is understood that in this embodiment of the application, "non-intrusive method" refers to the measurement of a user's blood pressure in a way that is imperceptible to the user, or that the user may only perceive it very slightly. "Non-intrusive" can also be described as "slightly perceptible." Frequent blood pressure measurements using a non-intrusive method may not cause discomfort to the user, or the discomfort may be very mild. In some embodiments, the non-intrusive method includes, but is not limited to, monitoring the user's blood pressure using one or more of the following: PPG signal, pressure sensor signal, electrocardiogram, etc.

[0088] In this embodiment, "sensory method" refers to a measurement of a user's blood pressure that is perceptible to the user. Frequent blood pressure measurements using a sensory method may cause discomfort or significant discomfort to the user. In some implementations, sensory methods can provide more accurate blood pressure readings compared to non-sensory methods. In some embodiments, sensory methods include, but are not limited to, measuring blood pressure using methods such as oscillometric measurements.

[0089] In some embodiments, wearable devices can monitor a user's blood pressure continuously, in real time or periodically, during the day and / or at night in a non-intrusive manner.

[0090] In this embodiment, as one possible implementation, the wearable device can automatically activate the non-intrusive continuous monitoring function to continuously monitor the user's blood pressure during the day and / or night in a non-intrusive manner.

[0091] As another possible implementation, the user can enable the wearable device's non-intrusive continuous blood pressure monitoring function. In response to the user's activation, the wearable device will continuously monitor the user's blood pressure non-intrusively during the day and / or night. Optionally, in this implementation, the specific timing of the wearable device's non-intrusive continuous blood pressure monitoring can be a default setting. Of course, the user can also set the timing for the wearable device to continuously monitor the user's blood pressure non-intrusively. For example, the user can choose to enable the wearable device's non-intrusive continuous monitoring function only during the day, and in response to this activation, the wearable device will continuously monitor the user's blood pressure non-intrusively during the day. Similarly, the user can choose to enable the wearable device's non-intrusive continuous monitoring function at night, and so on.

[0092] In this implementation, the wearable device can also determine whether the user is asleep, and then determine whether the current scenario is daytime or nighttime based on whether the user is asleep. For example, if it is determined that the user is not asleep, it can be determined that the current scenario is daytime, and the wearable device can then implement a solution for continuously monitoring the user's blood pressure in a non-intrusive manner during the day. If the user is asleep, it can be determined that the current scenario is nighttime, and the wearable device can then implement a solution for continuously monitoring the user's blood pressure in a non-intrusive manner at night. Optionally, whether the user is asleep can be obtained by the wearable device through its own sleep detection function or from other devices. This application does not impose any restrictions on the method by which the wearable device obtains whether the user is asleep.

[0093] As another possible implementation, the user can directly set the time for the non-intrusive continuous monitoring function to be turned on and / or turned off. In response to the user's settings, the wearable device can start non-intrusive continuous monitoring of the user's blood pressure at the user-set on time and / or turn off the non-intrusive continuous monitoring function at the user-set off time.

[0094] In some embodiments, when the wearable device determines that a user's blood pressure, monitored in a non-contact manner, meets the criteria for abnormal blood pressure, then the monitoring time period corresponding to that user's blood pressure can be identified as the abnormal blood pressure period. It can be understood that if blood pressure meets the criteria for abnormal blood pressure, it indicates that there is an abnormality in that blood pressure.

[0095] In some embodiments, abnormal blood pressure conditions may include at least one of the following: blood pressure conditions, fluctuation conditions, and quantity conditions.

[0096] As one possible implementation, blood pressure conditions may include blood pressure not meeting a preset blood pressure range (e.g., the preset blood pressure range may include being greater than or equal to a preset blood pressure threshold), and / or blood pressure curve not meeting a preset curve (or, the condition may also be described as the blood pressure variation pattern not meeting a preset pattern).

[0097] It is understandable that if the blood pressure monitored within a certain time period does not meet the preset blood pressure range, it could mean that some or all of the blood pressure monitored within that time period does not meet the preset blood pressure range. Alternatively, it could mean that the statistical values ​​such as the average, mode, and median of all blood pressure monitored within that time period do not meet the preset blood pressure range. Alternatively, it could mean that the number of blood pressures monitored within that time period that do not meet the preset blood pressure range is greater than or equal to a preset number threshold. Or, it could mean that the proportion of blood pressures monitored within that time period that do not meet the preset blood pressure range to all blood pressures monitored within that time period meets a first preset proportion range (for example, the first preset proportion range may include being greater than or equal to a first preset proportion threshold).

[0098] For example, the preset blood pressure range can be medically defined as greater than or equal to 90 mmHg and less than or equal to 140 mmHg, or it can be set based on empirical values, statistical values, etc., such as statistically analyzing the blood pressure of different users at different time periods to obtain the preset blood pressure range corresponding to each time period. Optionally, the preset blood pressure range can be the same or different for different time periods.

[0099] For example, the preset curve can be a blood pressure curve obtained from blood pressure statistics over a period of time. Optionally, for each time period of blood pressure monitoring, there can be a corresponding preset curve, and these preset curves can be different. For example, taking a time period of 24 hours as an example, the blood pressure curve for this time period (i.e., the preset curve) can be, for example, a dipper-shaped blood pressure curve. Figure 3 The diagram shown is a schematic of a spoon-shaped blood pressure curve provided in an embodiment of this application. The blood pressure curve is like a spoon, with peaks and troughs, showing a double-peak and one-trough variation pattern.

[0100] As one possible implementation, the fluctuation condition can include blood pressure fluctuations not meeting a preset fluctuation range (e.g., the preset fluctuation range can include being less than or equal to a preset fluctuation threshold). For example, the blood pressure fluctuation over a time period can be determined by calculating various values ​​such as the variance, mean, and difference of blood pressure over that time period. It can be understood that when the blood pressure monitored over a time period meets this fluctuation condition, it indicates that there may be abnormal fluctuations in blood pressure during that time period.

[0101] In some implementations, the fluctuation condition can be specifically implemented as a condition of small fluctuation and a condition of large fluctuation. For example, a condition of small fluctuation may include blood pressure fluctuation values ​​meeting a first fluctuation range, and a condition of large fluctuation may include blood pressure fluctuation values ​​meeting a second fluctuation range. For instance, the first fluctuation range may include values ​​greater than or equal to a first fluctuation threshold and less than or equal to a second fluctuation threshold, and the second fluctuation range may include values ​​greater than a second fluctuation threshold.

[0102] It's understandable that if blood pressure readings over a given period show relatively small fluctuations, it indicates that the blood pressure fluctuations within that period are likely small. Conversely, if blood pressure readings over a given period show relatively large fluctuations, it indicates that the blood pressure fluctuations within that period are likely large.

[0103] As one possible implementation, the quantity condition may include: for a time period, during a first time period in which blood pressure is continuously monitored in a non-intrusive manner, the number of times the blood pressure monitored during that time period meets the blood pressure condition and / or fluctuation condition meets a first number range (e.g., the first number range may include greater than or equal to a preset number threshold), or the proportion of the number of time periods in which the monitored blood pressure meets the blood pressure condition and / or fluctuation condition to the number of time periods included in the first time period meets a first proportion range.

[0104] For example, the first time period includes, but is not limited to, n days, or n nights, or n days and nights, where n is greater than 0. Optionally, the first time period can be a continuous period of time, such as n consecutive days, or it can be a non-consecutive period of time.

[0105] Optionally, in this embodiment of the application, the first time period may include one or more time periods. For example, taking the first time period as three days, each day from 6:00 to 18:00, if the 12 hours are divided into 12 time periods, then the time periods included in the first time period may include 6:00 to 7:00, 7:00 to 8:00, 8:00 to 9:00, and so on.

[0106] It is understood that the above example uses a time period of 1 hour as an example. The time period can also be other lengths, such as 2 hours, 3 hours, etc. The embodiments of this application do not limit the length of each time period. Optionally, the length of each time period can be the same or different.

[0107] It's also understandable that the above example assumes consecutive time points within a time period. Different time periods can have non-consecutive time points; for example, the first time period could include 6:00 to 8:00, 9:00 to 10:00, 12:00 to 13:00, etc. Optionally, the time intervals between different time periods can be the same or different.

[0108] It is understood that the embodiments of this application do not impose any restrictions on the division of time periods.

[0109] In some embodiments, after identifying a period of abnormal blood pressure, the wearable device can automatically initiate a sensor-based measurement of the user's blood pressure during that period. Optionally, before or after automatically initiating the sensor-based measurement of the user's blood pressure during the abnormal period, the wearable device may also output information such as... Figure 4 The reminder message 400 shown in (1) reminds the user that due to the detection of abnormal blood pressure, the sensor will be activated to measure the blood pressure during this period.

[0110] It is understood that the interface diagrams of wearable devices shown in the embodiments of this application are all based on smartwatches as an example of wearable devices.

[0111] In other embodiments, after identifying a period of abnormal blood pressure, the wearable device can remind the user (e.g., by displaying a reminder message on the screen, or by issuing a voice reminder) to initiate a sensor-based measurement of the user's blood pressure during that period. For example, the wearable device can output something such as... Figure 4 The reminder message 410 shown in (2) reminds the user to use a sensory method to measure the user's blood pressure during the abnormal blood pressure period.

[0112] In this embodiment, as one possible implementation, the user can activate the wearable device to measure their blood pressure during periods of abnormal blood pressure using a sensor-based method. In this implementation, both the device for non-sensory blood pressure monitoring and the device for measuring abnormal blood pressure during periods of abnormal blood pressure are the same wearable device. Optionally, the wearable device can display information such as... Figure 4 As shown in Figure (2), the wearable device detects user clicks on the start measurement button 411. In response to this action, the wearable device uses a sensor-based method to measure the user's blood pressure during abnormal blood pressure periods (e.g., 9:00 to 10:00). Of course, users can also use other button operations, voice operations, gesture operations, etc., to activate the wearable device's sensor-based method to measure the user's blood pressure during abnormal blood pressure periods.

[0113] Optionally, wearable devices can also display things like Figure 4 As shown in (2), the wearable device detects user clicks on the "test later" button 412. In response to this operation, the wearable device may temporarily refrain from performing the operation of measuring the user's blood pressure during abnormal periods using a sensor-based method.

[0114] As another possible implementation, users can use other blood pressure measurement devices with a sensory function (such as an upper arm blood pressure monitor) to measure their blood pressure during periods of abnormality. In this implementation, the wearable device that monitors the user's blood pressure non-sensoryly and the device that measures the user's blood pressure during periods of abnormality using a sensory function are different devices. Optionally, in this implementation, the wearable device can also present features such as... Figure 4 The interface shown in (2) is shown in the middle.

[0115] In some other embodiments, the wearable device can also send notification messages to other blood pressure measuring devices worn by the user that are equipped with sensing capabilities. Accordingly, upon receiving the notification message, the other blood pressure measuring devices can initiate sensing-based blood pressure measurement of the user during periods of abnormal blood pressure.

[0116] Optionally, in the above embodiments, the wearable device can also output a reminder message during periods of abnormal blood pressure, reminding the user to perform a sensory blood pressure measurement during that period.

[0117] Optionally, in this embodiment of the application, the wearable device outputs a reminder message to remind the user to measure blood pressure during periods of abnormality using a sensory method, such as... Figure 4 The reminder message 400 shown in (1) Figure 4 The reminder message 410 shown in (2) can include the specific reasons for the abnormal blood pressure (not shown in the figure), such as: abnormal high blood pressure, or abnormal fluctuation, so that the user can know the specific situation of the abnormal blood pressure.

[0118] It is understood that, in the embodiments of this application, the messages output by the wearable device include, but are not limited to, messages such as Figure 4 The reminder message 400 shown in (1) is as follows. Figure 4 The reminder message 410 shown in (2) can also be sent by the wearable device to other devices (such as mobile phones), and the other devices can output the corresponding message.

[0119] In some embodiments, when a wearable device measures a user's blood pressure during periods of abnormal blood pressure using a sensing method, it may measure the user's blood pressure at different frequencies during those periods.

[0120] As one possible implementation, if a wearable device determines that a user's blood pressure, monitored in a non-contact manner, meets the condition of minimal fluctuation, and if the monitoring time corresponding to that user's blood pressure is identified as a period of abnormal blood pressure, then when measuring the user's blood pressure during this abnormal period using a sensor-based method, a lower frequency (e.g., once every 10 minutes) can be used. In this way, because blood pressure fluctuations are smaller during abnormal periods, fewer blood pressure measurements are needed to reflect the user's true blood pressure, saving power consumption of the wearable device while accurately capturing blood pressure during peak periods.

[0121] As another possible implementation, if the wearable device determines that a user's blood pressure, monitored in a non-contact manner, fluctuates significantly, and the corresponding monitoring time is identified as a period of abnormal blood pressure, then when measuring the user's blood pressure during this abnormal period using a sensor-based method, a higher frequency (e.g., once every 5 minutes) can be used. Because blood pressure fluctuates significantly during abnormal periods, more measurements are needed to reflect the user's true blood pressure, thus allowing for more accurate capture of blood pressure during peak periods.

[0122] Optionally, in this embodiment, when the blood pressure measurement frequency is greater than or equal to a preset frequency threshold, the blood pressure measurement frequency is considered high; when the blood pressure measurement frequency is less than the preset frequency threshold, the frequency is considered low. The preset frequency threshold can be, for example, once every 8 minutes or other frequencies, and can be set by the developers according to actual needs.

[0123] In some embodiments, before the wearable device measures the user's blood pressure during the abnormal period using a sensor-based method, it may also receive a request from the user to activate the smart blood pressure measurement function, provided that the wearable device determines that the user's blood pressure monitored in a non-sensory manner meets the conditions for abnormal blood pressure. For example, such as... Figure 5 As shown, the wearable device displays an activation button 500 for the intelligent blood pressure measurement function, which the user can use to activate the function. For example, after receiving a user's action such as clicking the activation button 500, the wearable device, in response to this action, determines that if the user's blood pressure monitored using a non-sensory method meets the conditions for abnormal blood pressure, it will then measure the user's blood pressure during the abnormal period using a sensor-based method.

[0124] The following describes the technical solutions provided in the embodiments of this application in detail, taking several scenarios as examples, with abnormal blood pressure conditions including at least blood pressure conditions and / or fluctuation conditions.

[0125] Scenario 1: Wearable devices monitor a user's blood pressure continuously during the first period of daytime (e.g., n days) in a non-intrusive manner.

[0126] In some embodiments, if the user's blood pressure monitored at any time during the day does not meet the above-mentioned abnormal blood pressure conditions, it can be determined that the user's blood pressure is normal, that is, there is no period of abnormal blood pressure during the day. In this embodiment, the wearable device can measure the user's blood pressure without activating the sensor method.

[0127] For example, in the embodiments of this application, the user's blood pressure not meeting the above blood pressure conditions may refer to the user's blood pressure not meeting at least one of the blood pressure conditions, fluctuation conditions, and quantity conditions.

[0128] Optionally, in this embodiment, the wearable device can output, for example... Figure 6 The reminder message 600 shown in (1) is used to remind the user that their blood pressure is normal.

[0129] In other embodiments, if a user's blood pressure monitored during a certain time period during the day meets the aforementioned blood pressure condition and / or fluctuation condition, or, in addition to meeting the aforementioned blood pressure condition and / or fluctuation condition, also meets the aforementioned quantity condition, then that time period during the day can be determined as a period of abnormal blood pressure. In this embodiment, the wearable device can activate a sensing method to measure the user's blood pressure during this period of abnormal blood pressure.

[0130] Optionally, in this embodiment, the wearable device can also output, for example, Figure 4 The reminder message 400 shown in (1), or such as Figure 4 The reminder message 410 shown in (2) is an example.

[0131] Taking the first period as 4 days, with each day consisting of 1 hour of time intervals, Table 1 shows some examples of time intervals that meet the above-mentioned blood pressure conditions and / or fluctuation conditions provided by the embodiments of this application.

[0132] Table 1

[0133] Monitoring time The time period during which blood pressure conditions and / or fluctuation conditions are met The first day 9:00 to 10:00 The second day 9:00 to 10:00, 14:00 to 15:00 The third day 9:00 to 10:00 The fourth day 9:00 to 10:00

[0134] For example, as shown in Table 1, if the above blood pressure conditions and / or fluctuation conditions are met between 9:00 and 10:00 and between 14:00 and 15:00, then 9:00 to 10:00 and 14:00 to 15:00 are determined to be periods of abnormal blood pressure.

[0135] For example, using a quantitative condition: within a first time period, the number of times the monitored blood pressure meets the blood pressure condition and / or fluctuation condition meets a first number range, where the first number range is 3 times. As shown in Table 1, if the above blood pressure condition and / or fluctuation condition is met between 9:00 and 10:00 and between 14:00 and 15:00, and the number of times the blood pressure condition and / or fluctuation condition is met between 9:00 and 10:00 is 4 times, meeting the first number range, then 9:00 to 10:00 is determined to be a period of abnormal blood pressure. If the blood pressure condition and / or fluctuation condition is met only once between 14:00 and 15:00, not meeting the first number range, then 14:00 to 15:00 is determined not to be a period of abnormal blood pressure.

[0136] In some scenarios, considering the possibility of morning hypertension during the day, as a specific embodiment, if a user's blood pressure monitored during a certain time period in the morning meets the aforementioned blood pressure and / or fluctuation conditions, or, in addition to meeting the aforementioned blood pressure and / or fluctuation conditions, also meets the aforementioned quantitative conditions, then that certain time period in the morning can be determined as a period of abnormal blood pressure, during which morning hypertension may be present. In this embodiment, the wearable device can also activate a sensor-based method to measure the user's blood pressure during this abnormal blood pressure period. Thus, by capturing the abnormal blood pressure period in the morning, which may involve morning hypertension, and then using a sensor-based method to measure the user's blood pressure during this abnormal blood pressure period in the morning, the problem of difficulty in detecting morning hypertension can be solved.

[0137] Optionally, in this embodiment, the wearable device can output, for example... Figure 6 The reminder message 610 shown in (2) is about Figure 6 For descriptions of the other buttons shown in (2), please refer to [link / reference]. Figure 4 Description of the corresponding button shown in (2).

[0138] Optionally, in the above embodiments of Scenario 1, when the wearable device measures a user's blood pressure during periods of abnormal blood pressure using a sensor-based method, it can measure the user's blood pressure at a higher frequency. Since the blood pressure is measured during the daytime, the higher frequency of the sensor-based measurement causes less discomfort to the user, as the user is awake, thus not affecting their physical condition and providing a more accurate assessment of their blood pressure.

[0139] In some other embodiments, if the number of abnormal blood pressure periods included in a certain day is greater than or equal to a first threshold, or the total duration of abnormal blood pressure periods included in a certain day meets a first duration range (e.g., the first duration range can be greater than or equal to the first duration threshold), or the proportion of the total duration of abnormal blood pressure periods in a certain day to the total duration of blood pressure monitoring using a non-contact method on that day meets a second proportion range (e.g., the second proportion range can be greater than or equal to the first proportion), or the proportion of the number of abnormal blood pressure periods in a certain day to the total number of blood pressure monitoring periods using a non-contact method on that day meets a third proportion range (e.g., the third proportion range can be greater than or equal to the second proportion). Optionally, the number of days meeting the aforementioned conditions also meets a second number range (e.g., the second number range can be greater than or equal to the second threshold), or the proportion of the number of days meeting the aforementioned conditions to the first time period is also greater than or equal to the third proportion.

[0140] Alternatively, the number of abnormal blood pressure periods within the first time period is greater than or equal to the third threshold, or the total duration of abnormal blood pressure periods within the first time period is greater than or equal to the second duration threshold, or the proportion of the total duration of abnormal blood pressure periods within the first time period to the first time period is greater than or equal to the fourth proportion, or the proportion of the number of abnormal blood pressure periods within the first time period to the total time periods included in the first time period is greater than or equal to the fifth proportion.

[0141] This indicates that the user experienced a higher incidence of abnormal blood pressure throughout the day. In this embodiment, when the wearable device measures the user's blood pressure using a sensor-based method, it can activate the ambulatory blood pressure measurement mode.

[0142] It can be understood that ambulatory blood pressure measurement mode refers to wearable devices continuously monitoring a user's blood pressure in real time or periodically at various time periods using a sensor-based method. In other words, in addition to monitoring the user's blood pressure during periods of abnormal blood pressure, the wearable device will also monitor the user's blood pressure during non-abnormal blood pressure periods. Optionally, the measurement frequency of ambulatory blood pressure measurement mode can be greater than, less than, or equal to the higher of the aforementioned frequencies, or greater than the lower of the aforementioned frequencies.

[0143] Optionally, in this embodiment, the wearable device may also output, such as Figure 7 The reminder message 700 shown in (1) or Figure 7 The reminder message 710 shown in (2) is about Figure 7 For descriptions of the other buttons shown in (2), please refer to [link / reference]. Figure 4 Description of the corresponding button shown in (2).

[0144] For example, taking the first period as 4 days, Table 2 shows some examples of the total duration of some abnormal blood pressure periods provided in the embodiments of this application.

[0145] Table 2

[0146] Monitoring time Total duration (percentage) of abnormal blood pressure periods The first day 2 hours (20%) The second day 3.5 hours (40%) The third day 3 hours (35%) The fourth day 2 hours (30%)

[0147] It is understandable that the percentage shown in Table 2 refers to the proportion of the total duration of abnormal blood pressure periods during a certain day to the total duration of blood pressure monitoring using non-contact methods on that day.

[0148] For example, taking the first duration range as greater than or equal to 1.5 hours and the second number range as greater than or equal to 2, if the total duration of abnormal blood pressure periods from the first day to the fourth day all meet the first duration range, and the number of days meeting the first duration range is 4, which also meets the second number range, it indicates that the user experiences abnormal blood pressure more frequently throughout the day. Therefore, when the wearable device measures the user's blood pressure during abnormal blood pressure periods using a sensory method, it can activate the ambulatory blood pressure measurement mode.

[0149] For example, taking the second proportion range as greater than or equal to 25% and the second number range as greater than or equal to 2, if the total duration of abnormal blood pressure periods from the second to the fourth daytime to the total duration of blood pressure monitoring using the non-contact method on that day all meet the second proportion range, and the number of days meeting the second proportion range is 3, which also meets the second number range, it indicates that the user experiences a relatively high number of abnormal blood pressure periods throughout the day. Therefore, when the wearable device measures the user's blood pressure during abnormal blood pressure periods using the sensor method, it can activate the ambulatory blood pressure measurement mode.

[0150] Based on this solution, blood pressure is monitored during the day in a non-intrusive or minimally invasive manner to capture peak blood pressure periods. Then, based on these peak periods, a sensor-based method is used to accurately measure blood pressure during those peak times. This reduces the number of times blood pressure is measured using the sensor method, enabling more precise capture of peak-time blood pressure and addressing the difficulty in detecting morning hypertension and masked hypertension. Furthermore, reducing the number of sensor-based blood pressure measurements lowers device power consumption and provides users with a more comfortable blood pressure measurement experience.

[0151] Scenario 2: Wearable devices use a non-intrusive method to continuously monitor the user's blood pressure during the first period of night (e.g., n nights).

[0152] In some embodiments, if the user's blood pressure monitored at any time during the night does not meet the above-mentioned abnormal blood pressure conditions, it can be determined that the user's blood pressure is normal, that is, there is no period of abnormal blood pressure at night. In this embodiment, the wearable device can measure the user's blood pressure without activating the sensor method.

[0153] Optionally, in this embodiment, the wearable device can also output such as Figure 6 The reminder message 600 shown in (1) is used to remind the user that their blood pressure is normal.

[0154] In other embodiments, if a user's blood pressure monitored during a certain period at night meets the aforementioned blood pressure and / or fluctuation conditions, or if a user's blood pressure monitored during a certain period meets the aforementioned blood pressure and / or fluctuation conditions, and also meets the aforementioned quantity conditions, then that period can be determined as a period of abnormal blood pressure. In this embodiment, the wearable device can activate a sensing method to measure the user's blood pressure during this period of abnormal blood pressure.

[0155] Optionally, in this embodiment, the wearable device can also output such as Figure 4 The reminder message 400 shown in (1) or Figure 4 The reminder message 410 shown in (2) is optional. Since it is a nighttime scene, in order to avoid affecting the user, the wearable device can output the reminder message during the daytime, or it can not output the reminder message and directly start the sensor mode to measure the user's blood pressure during the abnormal period.

[0156] In this embodiment, as a possible implementation, if the user's blood pressure monitored during a certain period at night meets the aforementioned condition of small blood pressure fluctuations, the wearable device can determine that period as a period of abnormal blood pressure. Optionally, in this implementation, the user's blood pressure monitored during the abnormal blood pressure period may also meet one or more of the aforementioned blood pressure conditions and quantity conditions. In this implementation, when the wearable device measures the user's blood pressure during this abnormal blood pressure period using a sensor-based method, it can measure the user's blood pressure at a lower frequency. Thus, since the blood pressure fluctuations are small during the abnormal blood pressure period, fewer blood pressure measurements are needed to reflect the user's true blood pressure, saving power consumption of the wearable device while accurately capturing blood pressure during peak periods.

[0157] As another possible implementation, if the user's blood pressure monitored during a certain nighttime period meets the aforementioned condition of large fluctuations, the wearable device can determine that period as a period of abnormal blood pressure. Optionally, in this implementation, the user's blood pressure monitored during the abnormal blood pressure period can also meet one or more of the aforementioned blood pressure conditions and quantity conditions. In this implementation, when the wearable device measures the user's blood pressure during this abnormal blood pressure period using a sensor-based method, it can measure the user's blood pressure at a higher frequency. Thus, because the blood pressure fluctuates significantly during the abnormal blood pressure period, more blood pressure measurements are needed to reflect the user's true blood pressure, thereby more accurately capturing blood pressure during peak periods.

[0158] Optionally, in this embodiment, the wearable device may also output something such as... Figure 4 The reminder message shown. Optionally, the wearable device can also output information such as the frequency of blood pressure measurement using a sensor-based method.

[0159] In some embodiments, since the risk of masked hypertension is higher at night, if the user's blood pressure monitored during a certain period at night meets the aforementioned blood pressure and / or fluctuation conditions, or if the user's blood pressure monitored during that period meets the aforementioned blood pressure and / or fluctuation conditions, and also meets the aforementioned quantitative conditions, then that period can be determined as a period of abnormal blood pressure. Furthermore, if the wearable device determines that there is a period of abnormal blood pressure at night, it can activate a sensor-based method to measure the user's blood pressure throughout the night. Alternatively, it can directly define the entire night as a period of abnormal blood pressure. This increases the probability of detecting masked hypertension.

[0160] In some other embodiments, if there are periods of abnormal blood pressure at night, and the number of such periods accounts for a proportion greater than or equal to a sixth proportion of the number of nights included in the first time period, or the number of such periods accounts for a proportion greater than or equal to a fourth threshold, then the wearable device can measure the user's blood pressure throughout the night using a sensor-based method.

[0161] In some other embodiments, the wearable device may also employ the scenario described in scenario one above. Figure 7 In the embodiments described above, if the number of abnormal blood pressure periods and / or the total duration of abnormal blood pressure periods meet certain conditions, a sensor-based method is activated to measure the user's blood pressure throughout the night.

[0162] Optionally, in the above embodiment of measuring user blood pressure throughout the night using a sensor-based method, when the wearable device initiates the sensor-based measurement of user blood pressure throughout the night, similar to the second embodiment described in this scenario, the wearable device can also measure user blood pressure throughout the night at a lower or higher frequency. Of course, the wearable device can also measure user blood pressure throughout the night in ambulatory blood pressure measurement mode.

[0163] Optionally, the conditions for large or small fluctuations mentioned above can be either user blood pressure monitored during several time periods at night or user blood pressure monitored throughout the entire night.

[0164] For example, when measuring blood pressure at a lower frequency, including once throughout the night, the wearable device can output something like... Figure 8 The reminder message 800 shown in (1) or Figure 8 The reminder message 810 shown in (2) is shown in the middle.

[0165] For example, taking an ambulatory blood pressure measurement mode with a measurement frequency of once every 30 minutes as an example, when the wearable device uses a sensor to measure the user's blood pressure at night in ambulatory blood pressure measurement mode, the wearable device can output something such as... Figure 9 The reminder message 900 shown in (1) or Figure 9The reminder message 910 shown in (2) is shown in the middle.

[0166] like Figure 8 , Figure 9 As shown, the wearable device can remind users to activate the sensor-based method to measure their blood pressure at night, and it can also remind users of the frequency of measurement.

[0167] It is understood that the methods for measuring user blood pressure throughout the night in the above embodiments are determined by judging the abnormal blood pressure periods of the night. Alternatively, it is possible to directly determine whether to use a sensor-based method to measure user blood pressure throughout the night based on whether the user's blood pressure monitored in a non-sensory manner meets the abnormal blood pressure conditions. That is, the entire night is considered as a time period. For specific implementation details, please refer to the relevant implementations for the aforementioned time periods. For example, if the user's blood pressure monitored in a non-sensory manner throughout the night meets the abnormal blood pressure conditions, the wearable device can use a sensor-based method to measure the user's blood pressure throughout the night. Conversely, the wearable device may not use a sensor-based method to measure the user's blood pressure throughout the night.

[0168] For example, taking a first period of 4 nights as an example, Table 3 shows an example of the blood pressure conditions and blood pressure fluctuations provided by the embodiments of this application.

[0169] Table 3

[0170] Monitoring time Does the blood pressure condition meet the requirements? Fluctuation The first night yes Meeting the condition of large fluctuations The second night yes Meeting the condition of large fluctuations The third night yes Meeting the condition of large fluctuations The fourth night no Fluctuation conditions not met

[0171] As shown in Table 3, for example, if the blood pressure of users monitored in the first, second, and third nights all meet the criteria of large fluctuations and also meet the blood pressure condition, then the wearable device can use a sensor-based method to measure the user's blood pressure at a higher frequency throughout the night. As another example, taking the sixth proportion as 50%, the number of nights meeting the blood pressure condition and / or the large fluctuation condition accounts for 75% of the number of nights included in the first time period, which is greater than the sixth proportion. Therefore, the wearable device can use a sensor-based method to measure the user's blood pressure at a higher frequency throughout the night.

[0172] Based on the solution in this scenario, monitoring users' blood pressure at night in a non-sensory or minimally sensory manner can initially screen users with abnormal blood pressure at night. Then, a sensory method is used to accurately measure users' blood pressure. While reducing the number of times blood pressure is measured using the sensory method, it can more accurately capture blood pressure during peak hours, solve the problem of difficult-to-detect conditions such as masked hypertension, avoid excessive disturbance to users' sleep, and bring users a more comfortable blood pressure measurement experience.

[0173] In some embodiments, after a wearable device monitors a user's blood pressure in a non-intrusive manner, it can output detailed blood pressure readings. For example, these details may include, but are not limited to, blood pressure readings for each monitoring session, blood pressure readings throughout the day and / or night, blood pressure readings within a preset time period, and various blood pressure statistics. Of course, the wearable device can also send the monitored blood pressure readings to other devices, which can then output the blood pressure details.

[0174] For example, consider the blood pressure readings output by a wearable device for each monitoring session. Figure 10 Figure (1) shows an example of blood pressure details provided in an embodiment of this application. Figure 10 As shown in (1), the blood pressure details may include one or more of the monitored systolic pressure, diastolic pressure, pulse, and monitoring time (e.g., 5 minutes ago).

[0175] Taking the statistical data of blood pressure monitored throughout the day by a wearable device as an example, Figure 10 Example of another blood pressure detail provided in an embodiment of this application is shown in (2).

[0176] Taking a daytime period that is 1 hour long as an example, such as Figure 10 As shown in (2), the wearable device can output the blood pressure value and the number of blood pressure values ​​measured for each time period, such as 8:00 to 9:00, 9:00 to 10:00, etc. Figure 9 (e.g., in the example of this) or one or more of the following. Optionally, the wearable device can also output the percentage of abnormal blood pressure, such as the percentage of 12 / 477 shown in (2) of 10. Of course, the wearable device can also identify one or more of the following: abnormal blood pressure, normal blood pressure, and the specific type of abnormal blood pressure (e.g., abnormal high blood pressure, abnormal fluctuations, etc.).

[0177] Optionally, wearable devices can also output results interpretation 1000 to help users understand the cause of abnormal blood pressure, etc.

[0178] Taking the output of blood pressure statistics within a preset time period by a wearable device as an example, Figure 10 Example of another blood pressure detail provided in an embodiment of this application is shown in (3).

[0179] Figure 10 Figure (3) shows five blood pressure curves, each including blood pressure values ​​measured throughout the day and night. Optionally, the wearable device can also output the fluctuation of the measured blood pressure, such as "circadian rhythm non-dipper blood pressure", blood pressure measurement time, such as "January 9th - January 10th", etc. Optionally, the wearable device can also output the result interpretation 1010 to help users understand their blood pressure status.

[0180] It is understood that in the embodiments of this application, blood pressure details can be presented in various forms such as curves, pie charts, bar charts, and tables, and this application does not impose any restrictions on this.

[0181] It is understood that the above embodiment is based on the case of blood pressure abnormality detected by non-sensory monitoring, and blood pressure is measured by sensor method. Blood pressure can also be measured by sensor method at other times. For example, wearable devices can be set by default to measure blood pressure by sensor method for time, frequency, etc., or users can set the time, frequency, etc. of blood pressure measurement by sensor method.

[0182] The above primarily describes the solutions provided by the embodiments of this application from a methodological perspective. It is understood that, in order to achieve the above functions, wearable devices include hardware structures and / or software modules corresponding to the execution of each function. Based on the units and algorithm steps of the various examples described in the embodiments disclosed in this application, the embodiments of this application can be implemented in hardware or a combination of hardware and computer software. Whether a function is executed in hardware or by a computer driving hardware depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered to exceed the scope of the technical solutions of the embodiments of this application.

[0183] This application provides embodiments that can divide wearable devices into functional modules based on the above method examples. For example, each function can be divided into its own functional module, or two or more functions can be integrated into one processing unit. The integrated unit can be implemented in hardware or as a software functional module. It should be noted that the unit division in this application embodiment is illustrative and only represents one logical functional division; in actual implementation, there may be other division methods.

[0184] like Figure 11 The diagram shown is a structural schematic of a wearable device provided in an embodiment of this application. The wearable device 1100 can be used to implement the methods executed by the wearable device described in the above method embodiments. For example, the wearable device 1100 may specifically include a processing unit 1101.

[0185] The processing unit 1101 is configured to: initiate a first method to measure the user's blood pressure in a first time period; determine the abnormal blood pressure period based on the user's blood pressure and the corresponding measurement time period; and initiate a second method to measure the user's blood pressure in the abnormal blood pressure period, wherein the second method is different from the first method.

[0186] In one possible design, the first approach includes determining the user's blood pressure based on at least one of the following: a PGG signal, a pressure sensor signal, or an electrocardiogram (ECG). The second approach includes determining the user's blood pressure using an oscillometric method.

[0187] In one possible design, the processing unit 1101 is specifically used to determine the time period as a blood pressure abnormality period if the user's blood pressure measured during the time period included in the first time period meets the preset blood pressure abnormality conditions.

[0188] In one possible design, the preset abnormal blood pressure conditions include at least one of blood pressure conditions, fluctuation conditions, and quantity conditions; the blood pressure conditions include: the user's blood pressure does not meet the preset blood pressure range, and / or, the user's blood pressure curve does not meet the preset curve; the fluctuation conditions include a first fluctuation condition, which includes: the fluctuation value of the user's blood pressure does not meet the preset fluctuation range; the quantity conditions include: for a time period, the proportion of the number of user blood pressure measurements that meet the blood pressure conditions and / or fluctuation conditions to the number of time periods included in the first time period meets a first proportion range; or, the number of user blood pressure measurements that meet the blood pressure conditions and / or fluctuation conditions meets a first quantity range.

[0189] In one possible design, the period of abnormal blood pressure is during the daytime; the processing unit 1101 is specifically used to initiate a second mode to measure the user's blood pressure during the period of abnormal blood pressure at a high frequency.

[0190] In one possible design, the first time period includes n days, where n is greater than 0; the processing unit 1101 is further configured to activate the second method to measure the user's blood pressure during the day if, within the first time period, the number of days in which the proportion of the total duration of abnormal blood pressure periods included in the daytime satisfies a second proportion range is greater than a second number range, or the number of days in which the total duration of abnormal blood pressure periods included in the daytime satisfies a first duration range is greater than a second number range.

[0191] In one possible design, the fluctuation conditions also include a second fluctuation condition and a third fluctuation condition; the second fluctuation condition includes: the user's blood pressure is greater than or equal to the first fluctuation threshold and less than or equal to the second fluctuation threshold; the third fluctuation condition includes: the user's blood pressure is greater than the second fluctuation threshold.

[0192] In one possible design, the period of abnormal blood pressure is at night; the processing unit 1101 is specifically used to activate a second mode to measure the user's blood pressure at a low frequency during the period of abnormal blood pressure if the period of abnormal blood pressure meets the second fluctuation condition.

[0193] In one possible design, the period of abnormal blood pressure is at night; the processing unit 1101 is specifically used to activate the second mode to measure the user's blood pressure at a high frequency during the period of abnormal blood pressure if the period of abnormal blood pressure meets the third fluctuation condition.

[0194] In one possible design, the processing unit 1101 is also used to output a reminder message, which is used to remind the user to start the second method to measure the user's blood pressure during periods of abnormal blood pressure.

[0195] In one possible design, the processing unit 1101 is also used to determine that the period of abnormal blood pressure is a daytime period.

[0196] In one possible design, the processing unit 1101 is specifically used to receive user operations; in response to the user operations, it initiates a second method to measure the user's blood pressure during the abnormal blood pressure period.

[0197] Optional, Figure 11 The wearable device 1100 shown may also include a display unit 1102, which is used to support the wearable device 1100 in performing various display operations.

[0198] Optional, Figure 11 The wearable device 1100 shown may also include a communication unit 1103, which is used to support the wearable device 1100 in performing the steps of communication between the wearable device and other devices in the embodiments of this application.

[0199] Optional, Figure 11 The wearable device 1100 shown may also include a storage unit ( Figure 11 (not shown in the image), this storage unit stores a program or instruction. When the processing unit 1101 executes the program or instruction, it causes... Figure 11 The wearable device 1100 shown can be implemented using the method described in the above-described method embodiments.

[0200] Figure 11 The technical effects of the wearable device 1100 shown can be referred to the technical effects of the method shown in the above method embodiments, and will not be repeated here. Figure 11 The processing unit 1101 involved in the wearable device 1100 shown can be implemented by a processor or processor-related circuit components, and can be a processor or processing module. The communication unit 1103 can be implemented by a transceiver or transceiver-related circuit components, and can be a transceiver or transceiver module. The display unit 1102 can be implemented by display screen-related components.

[0201] This application also provides a chip system, such as... Figure 12As shown, the chip system includes at least one processor 1201 and at least one interface circuit 1202. The processor 1201 and the interface circuit 1202 are interconnected via lines. For example, the interface circuit 1202 can be used to receive signals from other devices. As another example, the interface circuit 1202 can be used to send signals to other devices (e.g., the processor 1201). Exemplarily, the interface circuit 1202 can read instructions stored in memory and send those instructions to the processor 1201. When the instructions are executed by the processor 1201, the wearable device can perform the various steps performed by the wearable device in the above embodiments. Of course, the chip system may also include other discrete components, which are not specifically limited in this application embodiment.

[0202] Optionally, the chip system may contain one or more processors. These processors can be implemented in hardware or software. When implemented in hardware, the processor can be a logic circuit, an integrated circuit, etc. When implemented in software, the processor can be a general-purpose processor, implemented by reading software code stored in memory.

[0203] Optionally, the chip system may contain one or more memories. The memory may be integrated with the processor or disposed separately from it; this application does not limit this. For example, the memory may be a non-transient processor, such as a read-only memory (ROM), which may be integrated with the processor on the same chip or disposed separately on different chips. This application does not specifically limit the type of memory or the arrangement of the memory and processor.

[0204] For example, the chip system may be a field programmable gate array (FPGA), an application specific integrated circuit (ASIC), a system on chip (SoC), a central processor unit (CPU), a network processor (NP), a digital signal processor (DSP), a micro controller unit (MCU), a programmable logic device (PLD), or other integrated chips.

[0205] It should be understood that each step in the above method embodiments can be completed by integrated logic circuits in the processor hardware or by instructions in software form. The method steps disclosed in the embodiments of this application can be directly manifested as being executed by a hardware processor, or being executed by a combination of hardware and software modules in the processor.

[0206] This application also provides a computer storage medium storing computer instructions, which, when executed on a wearable device, cause the wearable device to perform the methods described in the above-described method embodiments.

[0207] This application provides a computer program product, which includes a computer program or instructions that, when run on a computer, cause the computer to perform the methods described in the above-described method embodiments.

[0208] In addition, this application also provides an apparatus, which may specifically be a chip, component or module. The apparatus may include a connected processor and a memory. The memory is used to store computer execution instructions. When the apparatus is running, the processor can execute the computer execution instructions stored in the memory to cause the apparatus to perform the methods in the above-described method embodiments.

[0209] In this embodiment, the wearable device, computer storage medium, computer program product or chip are all used to execute the corresponding methods provided above. Therefore, the beneficial effects they can achieve can be referred to the beneficial effects in the corresponding methods provided above, and will not be repeated here.

[0210] Through the above description of the embodiments, those skilled in the art will understand that, for the sake of convenience and brevity, only the division of the above functional modules is used as an example. In actual applications, the above functions can be assigned to different functional modules as needed, that is, the internal structure of the device can be divided into different functional modules to complete all or part of the functions described above.

[0211] In the several embodiments provided in this application, it should be understood that the disclosed apparatus and methods can be implemented in other ways. The embodiments can be combined with or referenced to each other without conflict. The apparatus embodiments described above are merely illustrative; for example, the division of modules or units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another device, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be through some interfaces; the indirect coupling or communication connection between devices or units may be electrical, mechanical, or other forms.

[0212] The units described as separate components may or may not be physically separate. A component shown as a unit can be one or more physical units; that is, it can be located in one place or distributed in multiple different locations. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0213] Furthermore, the functional units in the various embodiments of this application can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit.

[0214] If the integrated unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a readable storage medium. Based on this understanding, the technical solutions of the embodiments of this application, in essence, or the parts that contribute to the prior art, or all or part of the technical solutions, can be embodied in the form of a software product. This software product is stored in a storage medium and includes several instructions to cause a device (which may be a microcontroller, chip, etc.) or processor to execute all or part of the steps of the methods of the various embodiments of this application. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0215] The above description is merely a specific embodiment of this application, but the scope of protection of this application is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the scope of the technology disclosed in this application should be included within the scope of protection of this application. Therefore, the scope of protection of this application should be determined by the scope of the claims.

Claims

1. A method for measuring blood pressure, characterized in that, Applied to wearable devices, the method includes: The first method is activated to measure the user's blood pressure in the first time period; If the user's blood pressure measured during the time period included in the first time period meets the preset blood pressure abnormality conditions, then the time period is determined to be a blood pressure abnormality period. If the period of abnormal blood pressure is during the daytime; A second method is initiated to measure the user's blood pressure at a high frequency during the period of abnormal blood pressure; the second method differs from the first method. If the period of abnormal blood pressure is during the nighttime period; Initiating the second method to measure the user's blood pressure during the abnormal blood pressure period includes: If the abnormal blood pressure period meets the second fluctuation condition, the second method is activated to measure the user's blood pressure at a low frequency during the abnormal blood pressure period; the second fluctuation condition includes: the user's blood pressure is greater than or equal to the first fluctuation threshold and less than or equal to the second fluctuation threshold; If the abnormal blood pressure period meets the third fluctuation condition, then the second method is activated to measure the user's blood pressure at a high frequency during the abnormal blood pressure period; the third fluctuation condition includes: the user's blood pressure is greater than the second fluctuation threshold.

2. The method according to claim 1, characterized in that, The first method includes determining the user's blood pressure based on at least one of photoplethysmography (PGG) signals, pressure sensor signals, and electrocardiograms. The second method includes determining the user's blood pressure using oscillometric methods.

3. The method according to claim 1, characterized in that, The preset abnormal blood pressure conditions include at least one of blood pressure conditions, fluctuation conditions, and quantity conditions; The blood pressure conditions include: the user's blood pressure does not meet the preset blood pressure range, and / or, the user's blood pressure curve does not meet the preset curve; The fluctuation condition includes a first fluctuation condition, which includes: the fluctuation value of the user's blood pressure does not meet the preset fluctuation range; The quantity conditions include: for a given time period, the proportion of the number of user blood pressure measurements that meet the blood pressure condition and / or the fluctuation condition to the number of time periods included in the first time period satisfies a first proportion range; or, the number of user blood pressure measurements that meet the blood pressure condition and / or the fluctuation condition satisfies a first quantity range.

4. The method according to any one of claims 1-3, characterized in that, The first time period includes n days, where n is greater than 0; After determining the abnormal blood pressure period based on the user's blood pressure and the corresponding measurement time period, the method further includes: If, within the first time period, the number of days in which the total duration of abnormal blood pressure periods included during the daytime meets the second ratio range for the total duration of the daytime is greater than the second number range, or the number of days in which the total duration of abnormal blood pressure periods included during the daytime meets the first duration range for the daytime is greater than the second number range, then the second method is activated to measure the user's blood pressure during the daytime.

5. The method according to any one of claims 1-3, characterized in that, Before initiating the second method to measure the user's blood pressure during the abnormal blood pressure period, the method further includes: Output a reminder message, which is used to remind the user to start the second method to measure the user's blood pressure during the period of abnormal blood pressure.

6. The method according to claim 5, characterized in that, Before outputting the reminder message, the method further includes: The period of abnormal blood pressure was determined to be a daytime period.

7. The method according to any one of claims 1-3 and 6, characterized in that, The second method of measuring the user's blood pressure during the abnormal blood pressure period includes: Receive user actions; In response to the user's action, the second method is initiated to measure the user's blood pressure during the period of abnormal blood pressure.

8. A wearable device, characterized in that, include: The device includes a processor, a memory, and a sensor, wherein the memory and the sensor are coupled to the processor, the memory is used to store computer program code including computer instructions, and the processor reads the computer instructions from the memory to cause the wearable device to perform the method as described in any one of claims 1-7.

9. A computer-readable storage medium, characterized in that, The computer-readable storage medium includes a computer program or instructions that, when executed on a wearable device, cause the wearable device to perform the method as described in any one of claims 1-7.

10. A computer program product, characterized in that, When the computer program product is run on a computer, it causes the computer to perform the method as described in any one of claims 1-7.

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