WO2021213071A1

WO2021213071A1 - Blood pressure measurement method and wearable device

Info

Publication number: WO2021213071A1
Application number: PCT/CN2021/080806
Authority: WO
Inventors: 匡运生; 何小祥; 李靖; 黄曦; 郑成功
Original assignee: 华为技术有限公司
Priority date: 2020-04-21
Filing date: 2021-03-15
Publication date: 2021-10-28
Also published as: CN113520358A

Abstract

A blood pressure measurement method, comprising: acquiring clock information (S301); according to the clock information, determining whether the current moment is located in a first time interval or a second time interval (S302); when it is determined that the current moment is located in the first time interval, selecting a first mode for blood pressure measurement (S303); and when it is determined that the current moment is located in the second time interval, determining, by means of a PPG sensor and/or an ACC sensor, whether a user is in a first state, and if the user is in the first state, performing blood pressure measurement using a second mode (S304). Different modes are set, so as to perform different blood pressure measurements on a user in different periods, thereby facilitating dynamic blood pressure tracking for the user, and also improving the experience of the user when undergoing blood pressure measurement at night.

Description

Blood pressure detection method and wearable device

This application claims the priority of a Chinese patent application filed with the State Intellectual Property Office of China, the application number is 202010318534.4, and the invention title is "a blood pressure detection method and wearable device" on April 21, 2020, the entire content of which is incorporated by reference In this application.

Technical field

This application relates to the field of sports and health, and in particular to a novel multi-mode blood pressure detection method and wearable device.

Background technique

In daily life, people pay more and more attention to their own health, among which blood pressure is an important physiological indicator. In order to obtain the current blood pressure value, it is necessary to perform corresponding blood pressure detection on the human body. According to different detection methods, it can be roughly divided into three categories: office blood pressure detection, home blood pressure detection, and 24-hour ambulatory blood pressure detection. Among them, the blood pressure test in the clinic, as the name implies, is the blood pressure test that occurs in the outpatient or ward of a hospital. The tester is generally a professional doctor or nurse, and will use an upper-arm mercury sphygmomanometer or an upper-arm electronic sphygmomanometer. The blood pressure measurement in the office is currently the most widely used blood pressure measurement method in the medical field, and it is also the current standard detection method for the diagnosis and prevention of hypertension. The blood pressure test in the clinic is operated by experienced doctors and nurses, and the test results are accurate, but the patient needs to come to the hospital for the test, which causes inconvenience to the patient. At the same time, the hospital environment will cause stress and increase the blood pressure, which is misdiagnosed High blood pressure, the so-called "white coat hypertension (white coat hypertension)".

In view of the problem of blood pressure testing in the office, home blood pressure testing and 24-hour ambulatory blood pressure testing are becoming more and more important for the diagnosis and prevention of hypertension. There are mainly two types of blood pressure monitors for home blood pressure detection equipment, one is an upper arm type blood pressure monitor, and the other is a wrist type blood pressure monitor. The upper arm sphygmomanometer is the same as the testing equipment used in the office blood pressure measurement, mainly the upper arm electronic sphygmomanometer and mercury sphygmomanometer. The main product form of the wrist sphygmomanometer is a wrist electronic sphygmomanometer, and its airbag width is 60-65mm, which cannot be worn by the user for a long time. Therefore, more compact, wearable electric wrist sphygmomanometers, such as blood pressure watches, blood pressure wristbands, etc., have been proposed. The width of the airbag is reduced to 24-40mm. Compared with the upper arm sphygmomanometer, the operation of the wrist sphygmomanometer is more simple and convenient.

However, there is only one detection method for various types of sphygmomanometers on the market at present, but they have obviously different characteristics during the day and night, and different blood pressure detection methods need to be adopted. Current blood pressure equipment cannot realize the difference in blood pressure detection between daytime and night. Using daytime blood pressure detection methods for detection at night will cause great inconvenience to users and affect patients' rest.

Summary of the invention

The embodiment of the present application provides a method and device for detecting blood pressure. By judging whether the user is currently in the day or night, it is determined whether the blood pressure detection is performed in the first mode or the second mode. If it is currently at night, it is also necessary to determine whether the user has fallen asleep, and if the user has fallen asleep, the second mode can be activated for the user to perform blood pressure detection. By setting different scenes during the day and night, different blood pressure detection methods can be performed on the user during different periods, which is beneficial to the user's dynamic blood pressure tracking and at the same time improves the user's experience of blood pressure detection at night.

In a first aspect, a blood pressure detection method is provided, the method includes: acquiring clock information; according to the clock information, determining that the current time is in the first time interval or the second time interval; when it is determined that the current time is in the first time interval, use Perform blood pressure detection in the first mode; when it is determined that the current moment is in the second time interval, use a photoplethysmograph (PPG) sensor and/or acceleration (ACC) sensor to determine whether the user is already in the first state; If it is determined that the user is already in the first state, the second mode is used for blood pressure detection. In one embodiment, the first state may be a state indicating that the user has entered sleep.

In a possible implementation, the method further includes: if it is determined that the user is in the second state, using the first mode to perform blood pressure detection. In one embodiment, the second state may be a state indicating that the user is still awake.

In a possible implementation, after determining that the user is in the first state, the method further includes: detecting the angle between the plane of the wearable device and the direction of gravity through the ACC sensor; when the angle is within the first angle interval , Use the second mode for blood pressure detection.

In a possible implementation, after determining that the user is in the first state, the method further includes: determining the user's sleep state through the PPG sensor, and when it is determined that the user's sleep state is the third state, using the second mode Perform blood pressure testing.

In a possible implementation manner, determining the sleep state of the user through the PPG sensor includes: collecting a PPG waveform signal through the PPG sensor; and determining the sleep state of the user according to the PPG waveform signal.

In a possible implementation manner, using the first mode to perform blood pressure detection includes: performing blood pressure detection on the user by inflating the airbag to the first air pressure value. In an embodiment, the value of the first air pressure value may be [160mmHg, 200mmHg].

In a possible implementation manner, using the second mode to perform blood pressure detection includes: detecting blood pressure by collecting PPG waveform signals, and/or performing blood pressure detection on the user by inflating the airbag to a second air pressure value. In an embodiment, the value of the second air pressure value may be [40mmHg, 60mmHg].

In a possible implementation manner, the third state is a rapid eye movement state; using the second mode to perform blood pressure detection includes: detecting blood pressure by collecting PPG waveform signals.

In a possible implementation manner, the third state is a light sleep state or a deep sleep state, and using the second mode to perform blood pressure detection includes: performing blood pressure detection on the user by inflating the airbag to the second air pressure value. In an embodiment, the value of the second air pressure value may be [40mmHg, 60mmHg].

In a possible implementation manner, the third state is a deep sleep state, and using the second mode to perform blood pressure detection includes: performing blood pressure detection on the user by inflating the airbag to the first air pressure value; wherein, in the second mode, The rate of inflation of the airbag is lower than the rate of inflation of the airbag in the first mode. The value of the first air pressure value can be [160mmHg, 200mmHg].

In a possible implementation, the method further includes: when the sleeping position of the user is not suitable for blood pressure detection, the blood pressure detection is not performed.

In the second aspect, a wearable device is provided. The wearable device includes: a clock source, a memory, a processor, a PPG sensor, an ACC sensor, an air pump, an air bag, and an air pressure sensor; the clock source is used to obtain clock information and combine the clock The information is sent to the processor; the processor is used to couple with the memory, and to read and execute the instructions stored in the memory; when the processor is running, the instructions are executed so that the processor is also used to: according to the clock information, determine that the current time is located The first time interval or the second time interval; when it is determined that the current time is in the first time interval, the first control information is sent to the air pump so that the air pump pressurizes the airbag to the first air pressure value through the air pressure sensor connected to the airbag Collect the first pulse wave signal, receive the first pulse wave signal and determine the user's blood pressure according to the first pulse wave signal; when it is determined that the current time is in the second time interval, send the second control information to the PPG sensor and/or ACC sensor ; In response to the second control information, the PPG sensor and/or ACC sensor are activated and collect status information; determine that the user is in the first state according to the status information; if it is determined that the user is in the first state, send third control information to the PPG sensor In response to the third control information, the PPG sensor activates and collects the first PPG waveform signal, receives the first PPG waveform signal and determines the user's blood pressure according to the first PPG waveform signal; and/or, sends the fourth control information to the air pump, In order to make the air pump pressurize the airbag to the second air pressure value, the air pressure sensor connected with the airbag collects the second pulse wave signal, receives the second pulse wave signal, and determines the user's blood pressure according to the second pulse wave signal. In one embodiment, the first state may be a state indicating that the user has entered sleep. In an embodiment, the value of the first air pressure value may be [160mmHg, 200mmHg]. In an embodiment, the value of the second air pressure value may be [40mmHg, 60mmHg].

In a possible implementation, the processor is further configured to: if it is determined that the user is in the second state according to the state information, send first control information to the air pump so that the air pump can pressurize the airbag to the first air pressure value, and The air pressure sensor connected to the airbag collects the third pulse wave signal, receives the third pulse wave signal, and determines the blood pressure of the user according to the third pulse wave signal. In one embodiment, the second state may be a state indicating that the user is still awake. In an embodiment, the value of the first air pressure value may be [160mmHg, 200mmHg].

In a possible implementation manner, the processor is further configured to: after determining that the user is in the first state, send fifth control information to the ACC sensor, so that the ACC sensor detects the difference between the plane of the wearable device and the direction of gravity. When the included angle is within the first angle interval, the third control information is sent to the PPG sensor, and in response to the third control information, the PPG sensor starts and collects the second PPG waveform signal, receives the second PPG waveform signal, and according to The second PPG waveform signal determines the blood pressure of the user; and/or sends fourth control information to the air pump so that the air pump pressurizes the airbag to the second air pressure value, and collects the fourth pulse wave signal through the air pressure sensor connected to the airbag, The fourth pulse wave signal is received and the blood pressure of the user is determined based on the fourth pulse wave signal. In an embodiment, the value of the second air pressure value may be [40mmHg, 60mmHg].

In a possible implementation manner, the processor is further configured to: after determining that the user is in the first state, send sixth control information to the PPG sensor, receive the third PPG waveform signal fed back by the PPG sensor, and according to the third PPG waveform signal Determine the sleep state of the user; when it is determined that the sleep state of the user is the third state, send third control information to the PPG sensor; in response to the third control information, the PPG sensor activates and collects the fourth PPG waveform signal, and receives the fourth PPG waveform signal and determine the user’s blood pressure according to the fourth PPG waveform signal; and/or send fourth control information to the air pump so that the air pump pressurizes the air bag to the second air pressure value, and the air pressure sensor connected to the air bag collects the first The five pulse wave signal receives the fifth pulse wave signal and determines the blood pressure of the user according to the fifth pulse wave signal. In an embodiment, the value of the second air pressure value may be [40mmHg, 60mmHg].

In a possible implementation, the processor is further configured to send third control information to the PPG sensor when it is determined that the sleep state of the user is the rapid eye movement state; in response to the third control information, the PPG sensor starts and collects the first control information. Four PPG waveform signals, receiving the fourth PPG waveform signal and determining the user's blood pressure according to the fourth PPG waveform signal.

In a possible implementation, the processor is further configured to send fourth control information to the air pump when it is determined that the sleep state of the user is a light sleep state or a deep sleep state, so that the air pump pressurizes the airbag to the first Second, the air pressure value. The fifth pulse wave signal is collected by the air pressure sensor connected to the airbag, the fifth pulse wave signal is received, and the user's blood pressure is determined according to the fifth pulse wave signal. In an embodiment, the value of the second air pressure value may be [40mmHg, 60mmHg].

In a possible implementation, the processor is further configured to, when it is determined that the user’s sleep state is a deep sleep state, send seventh control information to the air pump, so that the air pump pressurizes the airbag to the first air pressure value, and The air pressure sensor connected to the airbag collects the sixth pulse wave signal, receives the sixth pulse wave signal and determines the user’s blood pressure based on the sixth pulse wave signal; wherein the rate at which the air pump pressurizes the airbag according to the seventh control information is lower than the air pump according to the first A control message pressurizes the airbag rate. The value of the first air pressure value can be [160mmHg, 200mmHg].

In a possible implementation manner, the processor is further configured to: when the sleeping position of the user is not suitable for blood pressure detection, the blood pressure detection is not performed.

In a third aspect, a computer-readable storage medium is provided, and instructions are stored in the computer-readable storage medium, which are characterized in that, when the instructions are executed on a terminal, the terminal is caused to execute any one of the methods of the first aspect.

In a fourth aspect, a computer program device containing instructions is provided, which when running on a terminal, causes the terminal to execute the method of any one of the first aspects.

This application discloses a blood pressure detection method and a device thereof. By acquiring a clock signal, if it is daytime, blood pressure detection is performed in the first mode; if it is nighttime, it continues to determine whether the user has fallen asleep. If the user is not asleep, the first mode is still used for blood pressure detection. If the user has fallen asleep, it is determined whether to perform blood pressure detection in the second mode or not to perform blood pressure detection according to the sleeping position of the user. By setting different scenes during the day and night, in order to perform different blood pressure detection methods for the user during different periods, there is a reason for the user to track dynamic blood pressure, and at the same time improve the user's experience of blood pressure detection at night.

Description of the drawings

Figure 1 is a schematic diagram of the circadian rhythm of human blood pressure;

FIG. 2 is a schematic diagram of a wearable device provided by an embodiment of the application;

FIG. 3 is a flowchart of a blood pressure detection method provided by an embodiment of the application;

4 is a schematic diagram of a pulse wave signal in a waveform analysis method provided by an embodiment of the application;

FIG. 5 is a flowchart of another blood pressure detection method provided by an embodiment of the application;

FIG. 6 is a flowchart of another blood pressure detection method provided by an embodiment of the application;

FIG. 7a is a schematic diagram of direction detection of an ACC sensor according to an embodiment of the application;

Figure 7b is a schematic diagram of another ACC sensor orientation detection provided by an embodiment of the application;

FIG. 8 is a flowchart of yet another blood pressure detection method provided by an embodiment of the application;

FIG. 9 is a flowchart of another blood pressure detection method provided by an embodiment of the application;

FIG. 10 is a schematic diagram of a blood pressure detection device provided by an embodiment of the application.

Detailed ways

The technical solutions in the embodiments of the present application will be described below in conjunction with the drawings in the embodiments of the present application.

This application is mainly applied to the scenario of 24 hours ambulatory blood pressure detection. 24-hour ambulatory blood pressure detection can use an ambulatory blood pressure detector to detect changes in blood pressure fluctuations between day and night for the user within 24 hours. The blood pressure value within a certain time interval is called ambulatory blood pressure. If patients have early hypertension, they can be detected and treated in time through 24-hour ambulatory blood pressure testing. Of course, the user does not necessarily have to use the ambulatory blood pressure monitor for blood pressure detection for 24 hours. The present application can also be applied in other scenarios, for example, the blood pressure detection may be continuously performed while the patient uses the ambulatory blood pressure monitor. If the user starts to use the ambulatory blood pressure monitor before falling asleep, and stops using the ambulatory blood pressure monitor until he wakes up the next morning, he will continue to perform blood pressure detection during the night when the user uses it. In the above blood pressure detection scenario, it can help identify primary, secondary, and complex hypertension, so that doctors can guide rational drug use and better prevent cardiovascular and cerebrovascular complications.

The blood pressure of the human body is not static, it will change periodically within a day, which can be called the "circadian rhythm of blood pressure". Figure 1 is a schematic diagram of the circadian rhythm of human blood pressure. For ordinary users, the blood pressure level during the day is generally higher, while the blood pressure level during sleep at night is lower. For example, as shown in Figure 1, the line segment with an "×" in the diagram is systolic blood pressure (SBP), which can also be called high pressure; the other line segment is diastolic blood pressure (DBP), which is also Can be called low pressure. It can be seen that the systolic and diastolic blood pressure will fluctuate similarly over time. For example, blood pressure begins to rise from 4:00 to 5:00 in the morning, and there will be a blood pressure peak around 6:00 to 8:00, which can be called "morning peak blood pressure". After that, blood pressure gradually stabilized. There will be a blood pressure peak again in the time period from 16:00 to 18:00 in the afternoon. The blood pressure peak at this time is the second peak of the day, and then the blood pressure drops slowly again until 0:00 to 2:00 the next day Reached the lowest point and maintained it until 4:00 to 5:00. It can be seen that the blood pressure curve for 24 hours a day presents a long-handled spoon-shaped curve of "double peaks plus one valley". This rhythmic change in blood pressure plays a very important role in adapting to body activities and protecting cardiovascular structure and function. Compared with daytime blood pressure, changes in blood pressure at night are often not easy to detect, and the increase in blood pressure at night is very easy to be ignored by people. Some hypertensive patients have been treated with normal blood pressure during the day or only slightly increased, but the blood pressure at night has increased more significantly, even reaching a dangerous level. However, because it occurs at night in a deep sleep, it is usually not easy to feel obvious symptoms. If the blood pressure is high at night, when the "morning peak blood pressure" peak is encountered in the morning, the blood pressure will often rise significantly, making the patient feel dizzy, fatigue, and increasing the occurrence of serious cardiovascular and cerebrovascular diseases such as stroke and myocardial infarction. Probability of disease. Therefore, it is becoming more and more important to strengthen the measurement of blood pressure at night for people with hypertension.

In some solutions, existing blood pressure monitors can achieve 24-hour blood pressure detection, but professional blood pressure monitors are bulky and expensive. At the same time, most of the blood pressure detection methods of blood pressure monitors still use the upper arm oscillometric method for blood pressure detection, that is, a cuff is required to be tied to the user's upper arm, and then the blood pressure is measured by automatically inflating the cuff. Or another part adopts the volume clamp method to measure blood pressure, that is, put a finger cuff on the finger, then connect the monitor through a line, and then use the pressure device in the finger cuff to continuously increase the pressure on the finger to obtain the pulse wave signal. Measurement of blood pressure. Regardless of the method, the same method is used for daytime and nighttime detection. However, the user's day and night state, posture and requirements for blood pressure detection are very different, so this solution cannot solve the day and night blood pressure measurement. The difference.

This application can be applied to any portable devices such as wearable devices. Exemplary embodiments of the portable devices include but are not limited to portable terminal devices equipped with iOS, android, microsoft or other operating systems. Among them, the wearable device may be, for example, an augmented reality (AR) device, a virtual reality (VR) device, an artificial intelligence (AI) device, etc. The embodiments of this application have different types of wearable devices. Make specific restrictions. The wearable device can realize the detection of the user's ambulatory blood pressure by virtue of its wearable characteristics.

According to the different requirements of blood pressure detection between day and night, this application sets two blood pressure detection modes, day and night. At the same time, combined with the detection of falling asleep, the detection mode can be automatically switched to achieve the purpose of dynamic detection of the user's blood pressure for 24 hours. At the same time, it is ensured that the blood pressure detection at night will not affect the user, ensure the user's sleep, and improve the user experience.

The technical solutions in the embodiments of the present application will be described in detail below in conjunction with the drawings in the embodiments of the present application.

FIG. 2 is a schematic diagram of a wearable device provided by an embodiment of the application.

As shown in FIG. 2, a wearable device 200 is provided. The device 200 may include a processor 201, a memory 202, a PPG sensor 203, an ACC sensor 204, a clock source 205, and a bus 206. The processor 201, the memory 202, the PPG sensor 203, the ACC sensor 204, and the clock source 205 in the wearable device 200 may establish a communication connection through the bus 206. The PPG sensor 203 is used to collect PPG waveform signals, and the ACC sensor 204 is used to collect acceleration information, so as to determine whether there is continuous movement, and to collect position information.

In an embodiment, the wearable device 200 may further include an air pump 207, an air bag 208, and an air pressure sensor 209. The air pump 207 establishes a communication connection with the processor 201 through the bus 206. The airbag 208 is connected with an air pump 207 and an air pressure sensor 209. When the air bag 208 is inflated and deflated by the air pump 207, the blood vessel can be compressed and the pulse wave signal can be collected by the air pressure sensor 209.

In an embodiment, the wearable device 200 may further include a wireless communication module.

The clock source 205 is used to obtain clock information.

The processor 201 may be a central processing unit (CPU).

The memory 202 may include a volatile memory (volatile memory), such as a random-access memory (random-access memory, RAM); the memory 202 may also include a non-volatile memory (English: non-volatile memory), such as a read-only memory (read-only memory, ROM), flash memory, hard disk drive (HDD), or solid state drive (SSD); the memory 202 may also include a combination of the foregoing types of memory.

The processor 201 is configured to couple with the memory 202 and read and execute instructions in the memory 202; when the processor 201 is running, the instructions are executed, so that the processor 201 is also configured to: determine that the current time is at the first time according to the clock information The interval or the second time interval; when it is determined that the current time is in the first time interval, the first mode is used for blood pressure detection; when it is determined that the current time is in the second time interval, the PPG sensor 203 and/or the ACC sensor 204 is used to determine the use Whether the user is in the first state; if the user is in the first state, the second mode is used for blood pressure detection. In one embodiment, the first state may be a state indicating that the user has entered sleep.

In an embodiment, the processor 201 is configured to determine whether the current time is in the first time interval or the second time interval according to clock information. When it is determined that the current time is in the first time interval, the first control information is sent to the air pump 207, so that the air pump 207 pressurizes the air bag 208 to the first air pressure value, and the air pressure sensor 209 connected to the air bag 208 collects the first pulse wave signal , Receive the first pulse wave signal, and determine the user's blood pressure according to the first pulse wave signal. When it is determined that the current time is in the second time interval, the second control information is sent to the PPG sensor 203 and/or the ACC sensor 204. In response to the second control information, the PPG sensor 203 and/or the ACC sensor 204 activates and collects the first status information. It is determined that the user is in the first state according to the first state information.

If it is determined that the user is in the first state, the third control information is sent to the PPG sensor 203. In response to the third control information, the PPG sensor 203 activates and collects the first PPG waveform signal, receives the first PPG waveform signal, and determines the user's blood pressure according to the first PPG waveform signal; and/or, sends fourth control information to the air pump 207, so that the air pump 207 pressurizes the airbag 208 to the second air pressure value, receives the second pulse wave signal collected by the air pressure sensor 209, and determines the user's blood pressure according to the second pulse wave signal.

Next, it will be specifically explained how to use the wearable device 200 to perform blood pressure detection.

FIG. 3 is a flowchart of a blood pressure detection method provided by an embodiment of the application. This method can be applied to the wearable device 200. In one embodiment, the wearable device 200 can be a smart watch capable of measuring blood pressure, and the watch can have an airbag with a width of 28 mm. Of course, it is understandable that the width of the airbag can also be any other value, which is not limited in this application. Those skilled in the art should note that the wearable device 200 involved in this application can also be any other wearable device 200 that can perform the following functions, and this application is not limited herein.

As shown in Figure 3, the present application provides a flow chart of a blood pressure detection method. The method may include the following steps:

S301: Obtain clock information.

The wearable device 200 may obtain clock information on its own device according to the clock source 205, and send the obtained clock information to the processor 201.

In one embodiment, a clock source 205 may be integrated in the wearable device 200, and the wearable device 200 obtains clock information by reading the local time in the clock source 205, and sends the obtained clock information to the processor 201. It is understandable that the local time can be set by the user. In one embodiment, since the local time will be offset by a certain amount during the operation of the wearable device 200, relying solely on the local time may not be able to ensure that the obtained time is accurate and stable. Therefore, the wearable device 200 may also have a wireless communication module, and establish a connection with other terminal devices through the wireless communication module, so as to obtain accurate network time in other terminal devices as accurate clock information. In an embodiment, the wireless communication module may be, for example, Bluetooth, WiFi, near field communication (NFC), or the like.

Of course, the clock information can also be obtained in any other manner such as manual input or automatic calibration through a certain calculation method, which is not limited in this application.

In an embodiment, the clock information may be GPS time service or the like.

S302: Determine that the current time is in the first time interval or the second time interval.

In one embodiment, the processor 201 determines that the current time is in the first time interval or the second time interval according to the clock information obtained in S301. In one embodiment, the first time interval may be daytime, and the second time interval may be nighttime. If it is determined that the current time is within the first time interval, S303 is executed; if it is determined that the current time is within the second time interval, S304 is executed.

In one embodiment, the most direct information for determining whether the current time is in the first time interval or the second time interval is clock information. You can set the night time from 20:00 every day to 8:00 the next day, and the day time from 8:00 every day to 20:00 of the day. Of course, in another embodiment, the demarcation point between daytime and night time can also be other time points, for example, it can be set according to the user's sleep time at night and waking time in the morning in the most recent period of time to distinguish the daytime. And night. Of course, in other embodiments, it can also be any time point, which can be set arbitrarily according to actual conditions, and this application is not limited here.

Of course, in another embodiment, the first time interval may refer to a time interval when the user is awake, and the second time interval may refer to a time interval when the user is asleep. If it is assumed that the user is in the second state during the day and the first state at night, the user can still be judged to be in the first time interval or the second time interval according to the current time according to S301 and S302. In one embodiment, the first state may indicate that the user has fallen asleep, and the second state indicates that the user is still awake. If it is assumed that the second state and the first state of the user are not associated with time, the step S301 can be replaced with S301', and the step S302 can be replaced with S302' to determine whether the current time is in the first time interval or the second time interval. E.g,

In S301', the ACC sensor 204 is used to determine whether the user has continuous movement.

In one embodiment, the processor 201 sends a control command to the ACC sensor 204, so that the ACC sensor 204 detects whether the user has continuous movement according to the control command, and feeds the result back to the processor 201.

S302', determining whether the current time is in the first time interval or the second time interval according to whether the user has continuous movement.

The processor 201 receives the feedback result. If it is determined that the user has continuous movement, it is considered that the user is currently in the second state, and the current time is in the first time interval; if it is determined that the user does not have continuous movement, it is considered The user is currently in the first state, and it is determined that the current time is in the second time interval. If it is determined that the current time is within the first time interval, S303 is executed; if it is determined that the current time is within the second time interval, S304 is executed.

This application provides a multi-mode blood pressure detection method, where “multi-mode” means setting the first mode and the second mode. Among them, the first mode can be, for example, using an oscillometric method to detect the user's blood pressure; the second mode can be, for example, using a PPG signal to measure blood pressure or using a waveform analysis method to detect the user's blood pressure. Of course, in some embodiments, the second mode can also use the oscillometric method to detect the blood pressure of the user. This application adopts different blood pressure detection modes to adapt to different requirements for blood pressure detection in different environments between the first time interval or the second time interval. According to the clock information obtained in S301, it is determined whether the scene of blood pressure detection occurs during the day, night, or awake or sleeping, and the corresponding blood pressure detection mode is selected.

S303: Perform blood pressure detection in the first mode.

When the processor 201 determines that the current time is in the first time interval, the first mode can be used to perform blood pressure detection. In one embodiment, the first mode may be to use the oscillometric method to detect blood pressure. In one embodiment, the oscillometric method may be used to detect blood pressure in a linear boost mode. The processor 201 sends first control information to the air pump 207, so that the air pump 207 pressurizes the airbag 208 to the first air pressure value, and receives the air pressure sensor. 209 The first pulse wave signal is collected and the blood pressure of the user is determined according to the first pulse wave signal. In an embodiment, the value of the first air pressure value may be [160mmHg, 200mmHg]. In one embodiment, the airbag 208 is pressurized and inflated by the air pump 207, so that the internal pressure of the airbag is linearly increased at a certain rate. At the same time, the air pressure sensor 209 connected to the inside of the airbag detects the internal pressure of the airbag and obtains a pressure signal. Then the static pressure signal and pulse wave signal are extracted from the pressure signal. According to the extracted static pressure signal and pulse wave signal, SBP and DBP are calculated. Those skilled in the art should note that the method of calculating SBP and DBP based on the static pressure signal and the pulse wave signal is the same as the calculation method in the existing scheme, and will not be repeated here for the convenience of description. When the air pressure in the airbag is pressurized to a certain level, all the characteristics of the pulse wave signal will be extracted. The wearable device 200 can control the air pump 207 to stop pressurizing and deflate, at which time the blood pressure detection process ends.

In another embodiment, the oscillometric method is used to detect blood pressure, and the pressure rise rate can be maintained at 3-6 mmHg/s. In the process of pressurization, the pulse wave signal and static pressure signal are extracted from the original pressure signal. For example, one or more characteristic points in the pulse wave signal may be extracted, and the static pressure signal may be a static pressure value, which is the static pressure value corresponding to the characteristic point. The wearable device 200 calculates DBP and SBP according to one or more characteristic points of the pulse wave signal and the corresponding static pressure value. Those skilled in the art should note that the method of calculating SBP and DBP based on one or more characteristic points of the pulse wave signal and the corresponding static pressure value is the same as the calculation method in the existing solution, and will not be repeated here for convenience of description. In order to be able to extract all the characteristic information of the pulse wave signal, the pressure is usually increased to a higher level. Generally, the pressure can be increased to 20-40mmHg higher than the SBP of a normal human body, for example, to about 200mmHg. With such a large pressure compressing the radial artery of the human body, the limbs wearing the wearable device 200 usually feel a strong sense of pressure. However, it will not cause any impact when the user is awake during the day. The whole blood pressure detection process can be maintained between 30s and 60s.

It is understandable that when the wearable device 200 determines that the current time is the first time interval, the first mode may not be activated immediately to perform blood pressure detection on the user. The wearable device 200 can confirm that the hour is day or night according to a preset time, for example, every hour on the hour, and then select the corresponding blood pressure detection mode according to different results. Alternatively, the interval time may be preset, such as one hour, two hours, 30 minutes, 15 minutes, etc., and then after each preset time period, the above steps are periodically executed and the corresponding blood pressure detection mode is selected. In some embodiments, the specific activation of blood pressure detection may be at certain time points preset by the user, or periodically at intervals of a preset time period. Of course, in another embodiment, it can also be determined according to the time preset by the user, and a period of time before the preset time, whether the time is day or night, and at the time preset by the user According to different results, directly select the corresponding blood pressure detection mode for blood pressure detection.

In one embodiment, after S303 is executed, a certain period of time may be passed and the process returns to S301 or S301' to execute the process of FIG. 3 again.

Of course, in another embodiment, in order to ensure the accuracy of the measurement, multiple measurements can be taken to average, and S303 is executed again immediately after the execution of S303, and the detection is stopped after a certain number of repetitions, or after a certain interval of time, it returns to S301. Or S301' execute the process of FIG. 3 again. The number of repeated executions can be preset.

S304: Perform blood pressure detection in the second mode.

When it is determined that the current time is the second time interval, the second mode can be used to perform blood pressure detection. In one embodiment, the PPG signal may be used to measure blood pressure or the waveform analysis method may be used to measure blood pressure.

In one embodiment, the method of measuring blood pressure using the PPG signal may be that the processor 201 sends third control information to the PPG sensor 203, and receives the first PPG waveform signal sent by the PPG sensor 203, and determines the use of the signal according to the first PPG waveform signal. Blood pressure. In an embodiment, it may be specifically that the PPG sensor 203 collects the pulse wave signal of the human body through optical signals, and does not require pressure to compress the radial artery of the limb of the wearable device 200, so it is very suitable for blood pressure detection at night. Since the accuracy of detecting blood pressure by the PPG waveform signal is not high, calibration detection is required.

In one embodiment, the mapping relationship established between the calibration PPG waveform signal and the real blood pressure value can be input in advance, and then when performing blood pressure detection, based on the extracted PPG waveform signal, refer to the pre-input mapping relationship to determine the user's blood pressure Numerical value. It should be noted by those skilled in the art that this method can ensure that the detected blood pressure fluctuation is consistent with the actual blood pressure fluctuation, but the blood pressure value cannot be accurately measured. In another embodiment, the PPG sensor 203 can be activated in the first time interval, and the pulse wave signal is collected, and then the blood pressure value measured by the oscillometric method is used as a reference to calibrate the PPG waveform during blood pressure detection in the second time interval Signal.

In an embodiment, the duration of collecting the PPG waveform signal may be about 1 minute.

In another embodiment, the waveform analysis method can be used to detect blood pressure. Different from collecting the PPG waveform signal to detect blood pressure, this method still needs to extract the pulse wave signal by pressurization for blood pressure detection. But it does not increase the pressure to a very high level as the oscillometric method. The waveform analysis method does not need to be pressurized to such a high level. Under normal circumstances, the air bag 208 can be pressurized to 40-60 mmHg by the air pump 207, and then the pressure is kept constant, and the pulse wave signal is collected at the same time. Since the waveform analysis method does not pressurize to about 200mmHg like the oscillometric method, the compression on the radial artery is very slight, and the user hardly feels the compression, so it will not stimulate the user too much. It will not wake the user from sleep.

In one embodiment, the waveform analysis method may be that the processor 201 sends fourth control information to the air pump 207, so that the air pump 207 pressurizes the airbag 208 to the second air pressure value, and receives the second pulse wave signal collected by the air pressure sensor 209 And according to the second pulse wave signal to determine the user's blood pressure. In an embodiment, the value of the second air pressure value may be [40mmHg, 60mmHg].

In one embodiment, the waveform analysis method may specifically pressurize the air bag 208 to about 40 mmHg by the air pump 207 and keep the pressure constant. Under a certain pressure, the pulse wave signal can be collected by the air pressure sensor 209. The pulse wave signal at this time includes a main peak period, and also includes a second echo and a third echo. Of course, in some embodiments, it may also include more echo information such as a fourth echo. The multiple echo signals included in the above-mentioned pulse wave signal are echoes caused by the bifurcation of the radial artery blood vessel, which causes the pulse wave signal to be reflected. Fig. 4 exemplarily shows a schematic diagram of a pulse wave signal in a waveform analysis method provided by an embodiment of the present application. It can be seen from Figure 4 that the first trough to peak is the main peak period, which lasts for a millisecond (ms). Then the second echo is detected after b ms, and the third echo is detected after c ms. Obviously, FIG. 4 shows that four echoes are detected after d ms after three echoes, and five echoes are detected after e ms. In an embodiment, usually, the peak information of the second echo is used as the basis of SBP, and the peak information of the third echo is used as the basis of DBP. In other embodiments, other echoes, such as four echoes, five echoes, etc., can also be used as references to correct SBP and DBP accordingly. It is understandable that the higher the peak value, the higher the corresponding blood pressure value. Of course, the mapping relationship between the specific peak value and the blood pressure value can be similar to that in the existing solution, and will not be repeated here. In one embodiment, a ms can be 121 ms, b ms can be 115 ms, c ms can be 193 ms, d ms can be 172 ms, and e ms can be 168 ms. It can be understood that the specific values of a, b, c, d, and e are determined according to the actual interval between the echoes.

It can be seen that compared with the pulse wave signal extracted in the oscillometric method, the pulse wave signal extracted in the waveform analysis method has more abundant information, especially the multiple echo signals are related to changes in blood pressure. Therefore, the mapping relationship between the peak value of the pulse wave signal, the echo signal and the blood pressure value can be stored in the wearable device 200 in advance, and then when the waveform analysis method is used for blood pressure detection, the peak value and the echo can be determined according to the collected pulse wave signal Signal, and get the user's blood pressure value according to the mapping relationship between the peak value, echo signal and blood pressure value. It should be noted by those skilled in the art that the mapping relationship between the peak value of the pulse wave signal, the echo signal and the blood pressure value can be established in advance through model learning. Of course, for the trained model, in the actual use process of the user, the model can also be modified according to the result of each test, so as to make the test result more accurate and better reflect the user's real blood pressure situation.

After the blood pressure is detected by the waveform analysis method, the airbag is deflated and the detection is ended.

In one embodiment, after S304 is executed, a certain period of time may be passed and the process returns to S301 or S301' to execute the process of FIG. 3 again.

Of course, in another embodiment, in order to ensure the accuracy of the measurement, multiple measurements can be taken to average. After S304 is executed, S304 is executed again, and the detection is stopped after a certain number of repetitions, or after a certain period of time, it returns to S301. Or S301' execute the process of FIG. 3 again. The number of repeated executions can be preset.

For the oscillometric method, in the process of testing, as the balloon is compressed and expanded, it will compress the radial artery and block the radial artery. Therefore, this detection method is not suitable for blood pressure detection in the second time interval. In the second time interval, if the first mode is still used for blood pressure detection, the radial artery of the user’s wrist will be compressed and blocked, which will obviously bring some irritation and may even wake the user from sleep. It seriously affects the user's sleep and rest and brings a very bad user experience. Therefore, for the second time interval, the second mode can be used for blood pressure detection.

In this application, the first mode is used for blood pressure detection in the first time interval, and the second mode is used for blood pressure detection in the second time interval. If the first time interval is daytime and the second time interval is nighttime, the first mode of this application is used for blood pressure detection during the day and the second mode is used for blood pressure detection at night; if the first time interval is for the user The awake time interval and the second time interval are the time intervals when the user is asleep, the first mode of this application is used for blood pressure detection in the second state of the user, and the second mode is used for the user in the first state Undertake blood pressure testing. It is understandable that sleep can be night sleep, of course, it can also be daytime sleep.

It can be understood that it is determined in S302 that the current time is the first time interval or the second time interval, and the corresponding mode is selected for blood pressure detection according to different time intervals. However, considering that the second mode is mainly for the night environment or the environment when the user is sleeping, if it is determined that the current time is the second time interval, it can continue to determine whether the user has fallen asleep. For example, FIG. 5 shows a flowchart of another blood pressure detection method.

As shown in FIG. 5, when it is determined in S302 that the current time is the second time interval through the clock information, it can also be combined with whether there is continuous movement of the user in S301' to jointly determine which method to use for blood pressure detection.

After S302, the following steps may also be included:

In S501, the user's heart rate is detected by the PPG sensor 203, and/or the user's exercise condition is detected by the ACC sensor 204.

The second time interval in this application is mainly for the night environment or the user's sleep environment, considering that the blood pressure of the human body will change according to the circadian rhythm, and the circadian rhythm of the blood pressure of the human body is strongly correlated with the sleep of the human body. However, it is determined in S302 that the current time is the second time interval, and at this time the user may have fallen asleep, or may not have fallen asleep, that is, the second state. Therefore, in S501, the user's movement can be detected, for example, the PPG sensor 203 can collect the PPG waveform signal. Since the human body has different physiological indicators in the first state and in the second state, for example, it may be specifically reflected in the difference in heart rate information. In one embodiment, when the processor 201 determines that the current moment is in the second time interval, it sends the second control information to the PPG sensor 203 and/or ACC sensor 204, and receives the PPG sensor 203 and/or ACC sensor 204. The first feedback information. According to the first feedback information, the processor 201 determines whether the user has fallen asleep and is in the first state. In one embodiment, for example, the PPG waveform signal can be collected by the PPG sensor 203, and the current user's heart rate can be analyzed from the PPG waveform signal, and then according to the preset mapping relationship between heart rate and sleep, it is determined whether the current user has fallen asleep. . Among them, the specific calculation method is the same or similar to the prior art by analyzing the collected PPG waveform signal and analyzing the heart rate of the current user, which is not limited in this application. At the same time, it should be noted that the mapping relationship between heart rate and sleep is preset on the wearable device 200 according to actual conditions, and the specific mapping relationship can also be adjusted arbitrarily according to actual conditions, which is not limited in this application. For example, when it is detected that the user's current heart rate is less than the first heart rate threshold, it is determined that the current user has fallen asleep; or when it is detected that the user's current heart rate is within the first heart rate zone, it is determined that the current user has fallen asleep, and so on.

Of course, in another embodiment, the ACC sensor 204 can also be used to detect whether the user has fallen asleep. Because when people enter the first state, their body is basically in a static state, and most of the body parts will not show continuous movement. For example, positions such as hands and arms. Therefore, the ACC sensor 204 can be used to detect whether the body part wearing the wearable device 200 has continuous movement. If it is not detected, it can be determined that the user has entered the first state; otherwise, it can be considered that the user is still awake at this time and has not fallen asleep. Of course, in some other embodiments, the PPG sensor 203 and the ACC sensor 204 can also be combined for joint detection to ensure the accuracy and timeliness of detection.

S502: Determine whether the user has fallen asleep according to the user's heart rate or exercise status.

According to the PPG waveform signal detected by the PPG sensor 203 in S501, and/or the ACC sensor 204 detects whether the user has continuous movement, it is determined whether the user has fallen asleep currently. If it is determined that the user is still awake, then execute S303; if it is determined that the user has fallen asleep, then execute S304.

In one embodiment, since the user may not fall asleep immediately at night, the PPG sensor 203 and/or the ACC sensor 204 need to be used to assist in the judgment. If the detection finds that the user's heart rate is greater than or equal to the first heart rate threshold, the heart rate is in the second heart rate interval, or there is continuous exercise, it can be considered that the user is not asleep, and the first mode is still used to detect the user's blood pressure. Only when it is detected that the user's heart rate is less than the first heart rate threshold, the heart rate is in the first heart rate interval, or there is no continuous exercise, the second mode will be used to detect the user's blood pressure.

Fig. 6 is a flowchart of another blood pressure detection method provided by an embodiment of the application.

After the user has fallen asleep, the present application can also determine whether to adopt the second mode for blood pressure detection in combination with the sleeping position of the user. Since some positions of the user during sleep are not suitable for blood pressure detection, it can also be determined whether the current position of the user is suitable for blood pressure detection at night or in the first state.

As shown in Figure 6, after it is determined in S302' or S502 that the user has fallen asleep, the following steps may be further included:

S601: Detect the sleeping position of the user through the ACC sensor 204.

If it is determined in S502 that the user has fallen asleep, the processor 201 may also send fifth control information to the ACC sensor 204, so that the ACC sensor 204 detects the sleeping position of the user.

In one embodiment, because for the wearable device 200, there is a corresponding posture requirement for the user when performing blood pressure detection. In one embodiment, the body position requirements may include: the limbs wearing the wearable device 200 cannot be compressed and blocked, especially the brachial artery and the radial artery. It is necessary to ensure that the pulse wave signal can be smoothly transmitted from the aorta to the limbs. Radial artery, and will not change the pulse wave due to the compression or blockage of the blood vessel in the middle. Secondly, the limbs of the wearable device 200 and the heart need to be kept at the same height, because once there is a height difference, the gravity difference of blood in different positions will be applied to the blood pressure, thereby causing a deviation in blood pressure. For example, when the user is in a side-lying posture, one side of the body is easily in a state of being compressed, which may cause compression and blockage of the blood vessels of some limbs. Therefore, the current sleeping position of the user needs to be detected by the ACC sensor 204. If it is detected that the sleeping position of the user is supine, the person can easily meet the detection requirements. In some embodiments, the ACC sensor 204 can detect the angle between the plane of the wearable device 200 and the gravity to determine the sleeping position. Wherein, the X axis and the Y axis that are perpendicular to each other can be preset and the intersection of the X axis and the Y axis coincides with the center point of the ACC sensor 204 in the wearable device 200. For example, as shown in FIG. 7a, the X-axis direction and the Y-axis direction passing through the center of the ACC sensor 204 may be used as the plane of the wearable device 200. In an embodiment, for example, as shown in FIG. 7b, if the X-axis direction is assumed to be the plane of the wearable device 200, the angle between the plane of the wearable device 200 and the gravity ∠a is 80° to 100° , It can be considered that the user is currently lying down. Of course, the corresponding relationship between the included angle and the body position can be set in advance according to the actual situation, which is not limited in this application.

S602: Determine whether the user performs blood pressure detection according to the detected sleeping position.

The sleeping position of the user detected by the ACC sensor 204 in S601 can be used to determine whether the position is suitable for blood pressure detection. In one embodiment, if it is detected that the angle between the plane of the wearable device 200 of the user and the gravity is the first angle interval, it can be considered suitable for blood pressure detection, and S304 is executed; if it is detected that the user is wearable When the angle between the plane of the device 200 and the gravity is the second angle interval, it can be considered that the sleeping position is not suitable for blood pressure detection, and S603 can be executed. In an embodiment, the first angle interval may be 80° to 100°, and the second angle interval may be any angle other than the first angle interval. Of course, it can be understood that the values of the first angle interval and the second angle interval can also be set arbitrarily according to actual conditions, which is not limited in this application.

Of course, it is worth noting that after determining that the sleeping position of the user is suitable for blood pressure detection, the second mode may not be activated immediately to perform blood pressure detection on the user. For example, it is possible to perform blood pressure detection for a period of time after determining that the sleeping position of the user is suitable for blood pressure detection. For details, reference may be made to the related description in the first mode in S303, which will not be repeated here.

S603: Do not perform blood pressure detection.

If it is detected in S602 that the sleeping position of the current user is not suitable for blood pressure detection, the blood pressure detection is not performed.

In one embodiment, after S603 is executed, it is possible to return to S601 to perform the process of FIG. 6 again at a certain time interval, or to return to S301 or S301' to perform the process of FIG. 3 again.

The present application determines whether it is daytime or nighttime by acquiring the clock signal. If it is daytime, blood pressure detection is performed in the first mode; if it is nighttime, it continues to determine whether the user has fallen asleep. If the user is not asleep, the first mode is still used for blood pressure detection. If the user has fallen asleep, it is determined whether to perform blood pressure detection in the second mode or not to perform blood pressure detection according to the sleeping position of the user. By setting different scenes during the day and night, in order to perform different blood pressure detection methods for the user during different periods, there is a reason for the user to track dynamic blood pressure, and at the same time improve the user's experience of blood pressure detection at night.

FIG. 8 is a flowchart of another blood pressure detection method provided by an embodiment of the application.

As shown in FIG. 8, the present application provides a more specific detection method using the second mode, which can use the corresponding second mode for detection according to different sleep states of the user in the current first state. In one embodiment, the sleep state may include a rapid eye movement state, a light sleep state, and a deep sleep state. Of course, in other embodiments, more sleep states may be included according to actual needs, which is not limited in this application.

In an embodiment, S304 can be implemented through the following steps:

S801: Collect PPG waveform signals to determine the current sleep state of the user.

In one embodiment, the processor 201 may also send sixth control information to the PPG sensor 203, receive the PPG waveform signal fed back by the PPG sensor 203, and determine the sleep state of the user according to the PPG waveform signal. When determining the sleep state of the user When it is in the third state, execute S304. In one embodiment, the PPG waveform signal may be collected by the PPG sensor 203, and the current heart rate of the user may be analyzed through the collected PPG waveform signal, so as to determine the current sleep state of the user. The third state may be a rapid eye movement state, a light sleep state, or a deep sleep state. In one embodiment, if it is determined that the user is currently in a rapid eye movement state, S802 can be executed; if it is determined that the user is currently in a light sleep state or a deep sleep state. Then S803 can be executed.

In an embodiment, due to the difference in blood pressure detection scenarios between daytime and nighttime, the compression and detection methods will also be different accordingly. Since the user may be asleep at night, if the oscillometric method is used for blood pressure detection, it will give the user a strong sense of pressure, and severely stimulate the user, affect the user’s sleep and rest, and may even wake up and use it. , Thereby bringing users an extremely unfriendly experience. Therefore, the blood pressure test at night needs to consider the user experience as the primary factor, and can not bring great stimulation to the user, and try to achieve a senseless test. Therefore, the user's current sleep state can be analyzed based on the PPG waveform signal. In an embodiment, the processor 201 may send a control signal to the PPG sensor 203 and receive the PPG waveform signal collected by the PPG sensor 203, and analyze the user's current heart rate based on the collected PPG waveform signal. It is worth noting that the user's heart rate obtained through the analysis of the PPG waveform signal can be achieved in any existing manner. For the convenience of description, it will not be repeated here. At the same time, the user's sleep state can be determined according to the preset mapping relationship between the heart rate and the sleep state. For example, the sleep state may include a rapid eye movement state, a light sleep state, or a deep sleep state. Under normal circumstances, sleep is the lightest in the REM state, followed by the light sleep state, and the deep sleep state sleeps the deepest. In the deep sleep state, it is difficult for the user to be awakened; on the contrary, in the rapid eye movement state, the user is easily awakened. For different sleep stages, the user's heart rate and pulse wave intensity are not the same. Among them, the heart rate in the rapid eye movement state is the highest and becomes irregular; the heart rate in the light sleep state drops slightly, and the heart rate in the deep sleep state is the lowest. Therefore, the PPG waveform signal can be collected by the PPG sensor 203, and the user's heart rate can be obtained by the PPG waveform signal, so as to determine the current sleep state of the user. For example, if the heart rate is in the third heart rate zone, it can be considered that the user is currently in rapid eye movement; if the heart rate is in the fourth heart rate zone, it can be considered that the user is currently in light sleep; if the heart rate is in the fifth heart rate zone, then It can be considered that the user is currently in a deep sleep state. Of course, the specific mapping relationship between the heart rate interval and the sleep state can be arbitrarily set according to the actual situation, which is not limited in this application.

S802: Collect the PPG waveform signal, and determine the blood pressure of the user through the PPG waveform signal.

In one embodiment, if it is determined that the user is currently in a rapid eye movement state, the processor 201 may send third control information to the PPG sensor 203, and receive the PPG waveform signal sent by the PPG sensor 203, and determine the PPG waveform signal according to the PPG waveform signal. The user's blood pressure. In one embodiment, for example, the PPG waveform signal is collected, and the current heart rate of the user is determined by the PPG waveform signal, and then the user's blood pressure is detected according to the mapping relationship between the heart rate and the blood pressure.

In one embodiment, since the user is currently in a rapid eye movement state, the user usually sleeps lightly in this state, so the user is extremely easy to wake up from sleep due to external stimuli at this time. Therefore, it is not suitable for the air pump 207 to pressurize the airbag 208 to perform a blood pressure measurement. At this time, the PPG sensor 203 can be used to collect the PPG waveform signal to detect the blood pressure of the user. Among them, the specific detection method can refer to the corresponding description in S304, which will not be repeated here.

S803: Detect blood pressure using a waveform analysis method.

If it is determined that the user is currently in a light sleep state or a deep sleep state, the blood pressure can be detected by the waveform analysis method.

In one embodiment, the processor 201 may send fourth control information to the air pump 207, so that the air pump 207 pressurizes the airbag 208 to the second air pressure value, receives the fifth pulse wave signal collected by the air pressure sensor 209 and performs The fifth pulse wave signal determines the blood pressure of the user.

In one embodiment, due to the user's current sleep stage, the limbs of the user wearing the wearable device 200 can withstand a certain degree of compression. Therefore, the waveform analysis method can be used to detect the user's blood pressure. Among them, the specific detection method can refer to the corresponding description in S304, which will not be repeated here.

FIG. 9 is a flowchart of another blood pressure detection method provided by an embodiment of the application.

As shown in FIG. 9, the present application can also use different blood pressure detection methods for the user's light sleep stage and deep sleep stage to perform blood pressure detection. The following steps may be included after S302, S502 or S605:

S901: Collect PPG waveform signals to determine the current sleep state of the user.

S902: Collect the PPG waveform signal, and determine the blood pressure of the user through the PPG waveform signal.

S903: Detect blood pressure using a waveform analysis method.

If it is determined in S901 that the user is currently in a light sleep state, the blood pressure can be detected by the waveform analysis method.

The specific implementation manners in S901, S902, and S903 are the same as or similar to the implementation manners of S801, S802, and S803 in FIG. 8, and will not be repeated here.

S904: Detect blood pressure by using an oscillometric method.

If it is determined in S901 that the user is currently in a deep sleep state, the blood pressure can be detected by the oscillometric method.

In one embodiment, the processor 201 may send the seventh control information to the air pump 207, so that the air pump 207 pressurizes the airbag 208 to the first air pressure value, receives the sixth pulse wave signal collected by the air pressure sensor 209, and receives the sixth pulse wave signal collected by the air pressure sensor 209 according to the sixth control information. The pulse wave signal determines the user's blood pressure. The rate at which the air pump 207 pressurizes the airbag 208 according to the seventh control information is lower than the rate at which the air pump 207 pressurizes the airbag according to the first control information.

In one embodiment, when it is determined that the user is currently in a deep sleep state, the sleep depth is the deepest in this stage, and it is not easy to be awakened. Therefore, when the airbag on the user’s body wearing the wearable device 200 is pressurized by the air pump 207 in the deep sleep state, if the pressurization method is reasonable, it will not disturb the user’s sleep, and at the same time, it can be more accurate. Measurement. Therefore, the air bag 208 can be pressurized to about 160-200 mmHg by the air pump 207, and then the characteristic information in the pulse wave signal can be collected to detect the blood pressure. The specific implementation manner is the same as or similar to the implementation manner in S203, and for convenience of description, details are not described herein again.

It should be noted by those skilled in the art that since the user is sleeping at this time, the pressurization rate may be slower than the pressurization rate during the day. In one embodiment, it may be 2-3 mmHg/s. It is understandable that both inflation and deflation need to be performed slowly to avoid sudden changes in the pressurization rate and minimize the irritation to the user.

In another embodiment, it should be noted that if the second mode is used for blood pressure detection, when the wearable device 200 determines that the blood pressure fluctuates abnormally or meets a preset condition, the second mode can be replaced with the first mode. The person conducts blood pressure testing. Among them, the preset condition may be that the PPG sensor 203 detects that the user's heart rate increases and is approximately the same as the daytime heart rate, or the ACC sensor 204 detects that the user wears the wearable device 200 for a longer period of time. Sexual exercise determines that the user may wake up at night, wake up at night, or detect that the user’s heart rate or pulse wave signal is abnormal. If the user's heart rate and pulse wave signal are abnormal, it is extremely easy to induce serious cardiovascular and cerebrovascular events such as stroke. Therefore, it is necessary to use the oscillometric method for blood pressure detection in order to obtain more accurate blood pressure values.

Of course, those skilled in the art should be aware that using the oscillometric method for blood pressure detection at night is very likely to disturb the user's normal rest. Therefore, the present application can prompt the user through the display screen of the wearable device 200 when the user wears the wearable device 200, prompting the user whether to choose to enable the method involved in this application, or through an entity on the wearable device 200 or The virtual button can be selected so that the user can turn it on or off in a targeted manner. For users who are not serious in hypertension, the function can be turned off to ensure the user's experience.

Those skilled in the art should note that the PPG sensor 203 is used to collect PPG waveform signals in the different steps involved in Figures 2 to 9. The PPG waveform signal collected this time is used. Of course, in some cases, to ensure the accuracy of the results, the PPG waveform signal can be collected every time. This application is not limited here.

The present application determines whether it is daytime or nighttime by acquiring the clock signal. If it is daytime, blood pressure detection is performed in the first mode; if it is nighttime, it continues to determine whether the user has fallen asleep. If the user is not asleep, the first mode is still used for blood pressure detection. If the user has fallen asleep, it is determined whether to perform blood pressure detection in the second mode or not to perform blood pressure detection according to the sleeping position of the user. For the night, it can also be determined that it is the user's current sleep state, so that different blood pressure detection methods can be used for blood pressure detection. By setting different scenes during the day and night, in order to perform different blood pressure detection methods for the user during different periods, there is a reason for the user to track dynamic blood pressure, and at the same time improve the user's experience of blood pressure detection at night.

As shown in FIG. 10, the present application provides a blood pressure detection device 1000. The device 1000 includes: an acquisition unit 1001, a processing unit 1002, a PPG sensor 1003, an ACC sensor 1004, an air pump 1005, an airbag 1006, and an air pressure sensor 1007.

The acquiring unit 1001 is configured to acquire clock information and send the clock information to the processing unit 1002; the processing unit 1002 is configured to determine, according to the clock information, that the current time is in the first time interval or the second time interval; when it is determined that the current time is in the In the first time interval, the first control information is sent to the air pump 1005 so that the air pump 1005 pressurizes the airbag 1006 to the first air pressure value. The air pressure sensor 1007 connected to the airbag 1006 collects the first pulse wave signal and receives the first pulse. The user’s blood pressure is determined according to the first pulse wave signal; when it is determined that the current moment is in the second time interval, the second control information is sent to the PPG sensor 1003 and/or the ACC sensor 1004; in response to the second control information, the PPG The sensor 1003 and/or the ACC sensor 1004 are activated and collect status information; determine whether the user is in the first state according to the status information; if the user is in the first state, send third control information to the PPG sensor 1003; respond to the third control Information, the PPG sensor 1003 activates and collects the first PPG waveform signal, receives the first PPG waveform signal and determines the user’s blood pressure according to the first PPG waveform signal; and/or, sends fourth control information to the air pump 1005 to enable the air pump 1005 The airbag 1006 is pressurized to the second air pressure value, the second pulse wave signal is collected through the air pressure sensor 1007 connected to the airbag 1006, the second pulse wave signal is received, and the user's blood pressure is determined according to the second pulse wave signal. In one embodiment, the first state may be a state indicating that the user has entered sleep. In an embodiment, the value of the first air pressure value may be [160mmHg, 200mmHg]. In an embodiment, the value of the second air pressure value may be [40mmHg, 60mmHg].

In a possible implementation, the processing unit 1002 is further configured to: if it is determined that the user is in the second state according to the state information, send first control information to the air pump 1005 so that the air pump 1005 pressurizes the airbag 1006 to the first air pressure Value, the third pulse wave signal is collected by the air pressure sensor 1007 connected to the airbag 1006, the third pulse wave signal is received, and the blood pressure of the user is determined according to the third pulse wave signal. In one embodiment, the second state may be a state indicating that the user is still awake. In an embodiment, the value of the first air pressure value may be [160mmHg, 200mmHg].

In a possible implementation, the processing unit 1002 is further configured to: after determining that the user is in the first state, send fifth control information to the ACC sensor 1004, so that the ACC sensor 1004 detects the difference between the plane of the wearable device and the direction of gravity. When the included angle is within the first angle interval, the third control information is sent to the PPG sensor 1003; in response to the third control information, the PPG sensor 1003 starts and collects the second PPG waveform signal, and receives the second PPG waveform Signal and determine the user’s blood pressure according to the second PPG waveform signal; and/or send fourth control information to the air pump 1005 so that the air pump 1005 pressurizes the airbag 1006 to the second air pressure value through the air pressure sensor connected to the airbag 1006 1007 collects the fourth pulse wave signal, receives the fourth pulse wave signal, and determines the blood pressure of the user according to the fourth pulse wave signal. In an embodiment, the value of the second air pressure value may be [40mmHg, 60mmHg].

In a possible implementation, the processing unit 1002 is further configured to: after determining that the user is in the first state, send sixth control information to the PPG sensor 1003; in response to the sixth control information, the PPG sensor 1003 activates and collects the first state. Three PPG waveform signals, receive the third PPG waveform signal and determine the user's sleep state according to the third PPG waveform signal; when it is determined that the user's sleep state is the third state, send third control information to the PPG sensor 1003; respond to The third control information, the PPG sensor 1003 activates and collects the fourth PPG waveform signal, receives the fourth PPG waveform signal and determines the user's blood pressure according to the fourth PPG waveform signal; and/or, sends the fourth control information to the air pump 1005 , So that the air pump 1005 pressurizes the airbag 1006 to the second air pressure value, collects the fifth pulse wave signal through the air pressure sensor 1007 connected to the airbag 1006, receives the fifth pulse wave signal, and determines the user's blood pressure according to the fifth pulse wave signal . In an embodiment, the value of the second air pressure value may be [40mmHg, 60mmHg].

In a possible implementation manner, the processing unit 1002 is further configured to send third control information to the PPG sensor 1003 when it is determined that the user's sleep state is a rapid eye movement state; in response to the third control information, the PPG sensor 1003 is activated And collect the fourth PPG waveform signal, receive the fourth PPG waveform signal, and determine the blood pressure of the user according to the fourth PPG waveform signal.

In a possible implementation manner, the processing unit 1002 is further configured to send fourth control information to the air pump 1005 when it is determined that the user's sleep state is a light sleep state or a deep sleep state, so that the air pump 1005 releases the airbag 1006 Pressurize to the second air pressure value, collect the fifth pulse wave signal through the air pressure sensor 1007 connected to the airbag 1006, receive the fifth pulse wave signal, and determine the user's blood pressure based on the fifth pulse wave signal. In an embodiment, the value of the second air pressure value may be [40mmHg, 60mmHg].

In a possible implementation manner, the processing unit 1002 is further configured to send the seventh control information to the air pump 1005 when it is determined that the user's sleep state is a deep sleep state, so that the air pump 1005 pressurizes the airbag 1006 to the first air pressure Value, the sixth pulse wave signal is collected by the air pressure sensor 1007 connected to the airbag 1006, the sixth pulse wave signal is received, and the user’s blood pressure is determined according to the sixth pulse wave signal; wherein the air pump 1005 adds to the airbag 1006 according to the seventh control information The rate of pressure is lower than the rate at which the air pump 1005 pressurizes the airbag 1006 according to the first control information. The value of the first air pressure value can be [160mmHg, 200mmHg].

In a possible implementation manner, the processing unit 1002 is further configured to: when the sleeping position of the user is not suitable for blood pressure detection, the blood pressure detection is not performed.

Those of ordinary skill in the art should be further aware that the units and algorithm steps of the examples described in the embodiments disclosed herein can be implemented by electronic hardware, computer software or a combination of the two, in order to clearly illustrate the hardware For the interchangeability with software, the composition and steps of each example have been described generally in terms of function in the above description. Whether these functions are executed by hardware or software depends on the specific application and design constraint conditions of the technical solution. Professionals and technicians can use different methods for each specific application to implement the described functions, but such implementation should not be considered beyond the scope of this application.

A person of ordinary skill in the art can understand that all or part of the steps in the method of the foregoing embodiments can be implemented by a program instructing a processor to complete, and the program can be stored in a computer-readable storage medium, and the storage medium is non-transitory ( English: non-transitory) media, such as random access memory, read-only memory, flash memory, hard disk, solid state drive, magnetic tape (English: magnetic tape), floppy disk (English: floppy disk), optical disc (English: optical disc) And any combination.

The above are only preferred specific implementations of this application, but the protection scope of this application is not limited to this. Any person skilled in the art can easily think of changes or changes within the technical scope disclosed in this application. Replacement shall be covered within the scope of protection of this application. Therefore, the protection scope of this application should be subject to the protection scope of the claims.

Claims

A blood pressure detection method, characterized in that the method includes:

Obtain clock information;

According to the clock information, determine that the current time is in the first time interval or the second time interval;

When it is determined that the current moment is in the first time interval, the first mode is used to perform blood pressure detection;

When it is determined that the current time is in the second time interval, determine whether the user is in the first state through the PPG sensor and/or the ACC sensor;

If it is determined that the user is in the first state, the second mode is used to perform blood pressure detection.
The method of claim 1, wherein the method further comprises:

If it is determined that the user is in the second state, the first mode is used for blood pressure detection.
The method according to claim 1, wherein after determining that the user is in the first state, the method further comprises:

Detecting the angle between the plane of the wearable device and the direction of gravity through the ACC sensor;

When the included angle is within the first angle interval, the second mode is used to perform blood pressure detection.
The method according to any one of claims 1 to 3, wherein after determining that the user is in the first state, the method further comprises:

The sleep state of the user is determined by the PPG sensor, and when it is determined that the sleep state of the user is the third state, the second mode is used to perform blood pressure detection.
The method of claim 4, wherein the determining the sleep state of the user through the PPG sensor comprises:

Collecting PPG waveform signals through the PPG sensor;

According to the PPG waveform signal, the sleep state of the user is determined.
The method according to any one of claims 1 to 5, wherein said using the first mode to perform blood pressure detection comprises:

By inflating the airbag to the first air pressure value, the blood pressure of the user is detected.
5. The method according to any one of claims 1 to 6, wherein said using the second mode to perform blood pressure detection comprises:

The blood pressure is detected by collecting the PPG waveform signal, and/or the blood pressure of the user is detected by pressurizing the airbag to a second air pressure value.
The method of claim 4, wherein the third state is a rapid eye movement state; and the use of the second mode to perform blood pressure detection comprises: detecting blood pressure by collecting PPG waveform signals.
The method of claim 4, wherein the third state is a light sleep state or a deep sleep state, and the use of the second mode to perform blood pressure detection comprises: pressurizing an air bag to a second air pressure value, The user performs blood pressure detection.
The method of claim 4, wherein the third state is a deep sleep state, and the use of the second mode to perform blood pressure detection comprises: inflating an air bag to a first air pressure value, Perform blood pressure detection; wherein the rate of pressurizing the airbag in the second mode is lower than the rate of pressurizing the airbag in the first mode.
A wearable device, characterized in that, the wearable device includes: a clock source, a memory, a processor, a PPG sensor, an ACC sensor, an air pump, an air bag, and an air pressure sensor;

in,

The clock source is used to obtain clock information and send the clock information to the processor;

The processor is configured to couple with the memory, and read and execute instructions stored in the memory;

When the processor is running, the instruction is executed, so that the processor is further configured to: according to the clock information, determine that the current time is in the first time interval or the second time interval;

When it is determined that the current time is in the first time interval, first control information is sent to the air pump, so that the air pump pressurizes the airbag to a first air pressure value through the air pressure connected to the airbag A sensor collects a first pulse wave signal, receives the first pulse wave signal, and determines the blood pressure of the user according to the first pulse wave signal;

When it is determined that the current time is in the second time interval, send second control information to the PPG sensor and/or the ACC sensor; in response to the second control information, the PPG sensor and/or the ACC sensor The sensor starts and collects status information;

Determining that the user is in the first state according to the state information;

If it is determined that the user is in the first state, send third control information to the PPG sensor; in response to the third control information, the PPG sensor activates and collects the first PPG waveform signal, and receives the The first PPG waveform signal and determine the blood pressure of the user according to the first PPG waveform signal; and/or, send fourth control information to the air pump, so that the air pump pressurizes the airbag to the second For the air pressure value, a second pulse wave signal is collected by the air pressure sensor connected to the airbag, the second pulse wave signal is received, and the blood pressure of the user is determined according to the second pulse wave signal.
The wearable device of claim 11, wherein the processor is further configured to:

If it is determined that the user is in the second state according to the state information, the first control information is sent to the air pump, so that the air pump pressurizes the airbag to a first air pressure value, and then communicates with the The air pressure sensor connected to the airbag collects a third pulse wave signal, receives the third pulse wave signal, and determines the blood pressure of the user according to the third pulse wave signal.
The wearable device of claim 11, wherein the processor is further configured to:

After determining that the user is in the first state, sending fifth control information to the ACC sensor, so that the ACC sensor detects the angle between the plane of the wearable device and the direction of gravity;

When the included angle is within the first angle interval, the third control information is sent to the PPG sensor; in response to the third control information, the PPG sensor starts and collects a second PPG waveform signal, and receives The second PPG waveform signal and determine the blood pressure of the user according to the second PPG waveform signal; and/or, send the fourth control information to the air pump so that the air pump pressurizes the air bag To the second air pressure value, collect a fourth pulse wave signal through the air pressure sensor connected to the airbag, receive the fourth pulse wave signal, and determine the user's blood pressure based on the fourth pulse wave signal .
The wearable device according to any one of claims 11-13, wherein the processor is further configured to:

After determining that the user is in the first state, send sixth control information to the PPG sensor; in response to the sixth control information, the PPG sensor activates and collects a third PPG waveform signal, and receives the A third PPG waveform signal and determining the sleep state of the user according to the third PPG waveform signal;

When it is determined that the sleep state of the user is the third state, the third control information is sent to the PPG sensor; in response to the third control information, the PPG sensor activates and collects a fourth PPG waveform Signal, receiving the fourth PPG waveform signal and determining the user’s blood pressure according to the fourth PPG waveform signal; and/or, sending the fourth control information to the air pump so that the air pump will The airbag is pressurized to the second air pressure value, a fifth pulse wave signal is collected by the air pressure sensor connected to the airbag, the fifth pulse wave signal is received, and the fifth pulse wave signal is determined according to the fifth pulse wave signal. The user's blood pressure.
The wearable device of claim 14, wherein the processor is further configured to:

When it is determined that the sleep state of the user is a rapid eye movement state, the third control information is sent to the PPG sensor; in response to the third control information, the PPG sensor activates and collects the first Four PPG waveform signals, receiving the fourth PPG waveform signal and determining the blood pressure of the user according to the fourth PPG waveform signal.
The wearable device of claim 14, wherein the processor is further configured to:

When it is determined that the sleep state of the user is a light sleep state or a deep sleep state, the fourth control information is sent to the air pump, so that the air pump pressurizes the airbag to the second air pressure Value, the fifth pulse wave signal is collected by the air pressure sensor connected to the airbag, the fifth pulse wave signal is received, and the blood pressure of the user is determined according to the fifth pulse wave signal.
The wearable device of claim 14, wherein the processor is further configured to:

When it is determined that the sleep state of the user is a deep sleep state, the seventh control information is sent to the air pump, so that the air pump pressurizes the airbag to a first air pressure value, and connects with the airbag The air pressure sensor collects a sixth pulse wave signal, receives the sixth pulse wave signal, and determines the blood pressure of the user according to the sixth pulse wave signal; wherein, the air pump pairs according to the seventh control information The rate at which the airbag is pressurized is lower than the rate at which the air pump pressurizes the airbag according to the first control information.