Blood pressure measurement method, wearable device, and storage medium

Abstract

A wearable device (100), comprising a motion sensor (203G) and a PPG module. A blood pressure measurement method applied to the wearable device, comprising: the wearable device (100) acquiring motion data collected by the motion sensor (203G) and a first PPG signal collected by the PPG module; when the motion data and / or the first PPG signal satisfy a first condition, the wearable device (100) determining whether a user is in a sleep state; and when it is determined that the user is in a first sleep event, the wearable device (100) acquiring a first blood pressure value, the first sleep event comprising any one or more of: an OSA event, an REM event, an NREM sleep event, and an elevated central sympathetic nerve activity event. When a specific sleep event is detected, the blood pressure is measured, and when no specific sleep event is detected, the blood pressure is stopped from being measured, thereby reducing the interference to the sleep of the user, reducing the power consumption of the wearable device (100), and improving the user experience.

Description

A blood pressure detection method, wearable device and storage medium

[0001] This application claims priority to the Chinese patent application with application number 202311441143.1 filed with the State Intellectual Property Office of China on October 31, 2023, and priority to the Chinese patent application with the invention name “A blood pressure detection method, wearable device and storage medium”, all contents of which are incorporated by reference into this application. Technical Field

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

[0003] With the improvement of living standards, people's physical health has received more and more attention. Hypertension is a common cardiovascular disease, and regular blood pressure measurement is one of the important means to ensure the health of hypertensive patients. Dynamic blood pressure measurement is a technology that measures the user's blood pressure continuously for 24 hours, and can obtain multiple blood pressure measurement values ​​within 24 hours. Generally, the measurement is taken every 10-15 minutes, and the average of multiple blood pressure measurements within 24 hours is taken as the blood pressure value. Currently, there are cuff-type blood pressure monitors to measure the user's dynamic blood pressure, but the cuff-type blood pressure monitor requires the user to carry the cuff-type blood pressure monitor 24 hours a day, which is inconvenient for the user to use.

[0004] Wrist-mounted ambulatory blood pressure monitors (ABPMs) are designed to facilitate blood pressure measurement. They are comfortable to wear and save time and effort. They can monitor both nighttime and daytime blood pressure. Monitoring nighttime blood pressure is essential for preventing and intervening in cardiovascular events. However, the periodic measurement of blood pressure by wrist-mounted ABPMs during sleep may affect sleep quality. Further research is needed to minimize the impact of nighttime blood pressure measurement on sleep quality.

[0005] Summary of the Invention

[0006] The present application provides a blood pressure detection method, a wearable device, and a storage medium. The wearable device can turn on the blood pressure monitoring function when monitoring specific sleep events at night, which can reduce the impact of the wearable device on the user's sleep quality when measuring blood pressure at night and improve the user experience.

[0007] In a first aspect, the present application provides a blood pressure detection method, characterized in that the method is applied to a wearable device, the wearable device includes a motion sensor and a photoplethysmography (PPG) module, and the method includes: the wearable device obtains motion data collected by the motion sensor and a first PPG signal collected by the PPG module; when the motion data and / or the first PPG signal meet a first condition, the wearable device determines whether the user is in a sleep state; when it is determined that the user is in a first sleep event, the wearable device measures the user's blood pressure and obtains a first blood pressure value; the first sleep event includes any one or more of the following: OSA event, REM event, NREM sleep event, and increased central sympathetic nerve activity event.

[0008] Optionally, the wearable device may determine a first sleep event based on the first PPG signal. When it is determined that the user is in a sleeping state and that the user is in the first sleep event, the wearable device measures the user's blood pressure to obtain a first blood pressure value.

[0009] In some embodiments, the wearable device can determine whether an OSA event has occurred through physiological data such as blood oxygen, heart rate, and respiratory rate collected by a PPG module.

[0010] In some embodiments, the wearable device can determine whether it is in a REM sleep event through physiological data such as heart rate and respiratory rate collected by a PPG module.

[0011] In some embodiments, the wearable device can determine whether it is in a NREM sleep event through physiological data such as heart rate and respiratory rate collected by a PPG module.

[0012] In some embodiments, the central sympathetic nerve activity increase event is related to the number of awakenings at night, the duration of NREM sleep, and the latency of REM sleep. The wearable device can monitor the user's awakening times, the duration of NREM sleep events, the latency of REM sleep events, etc. When the user's awakening times are greater than a preset number, the duration of NREM sleep events is less than a first value, and the latency of REM sleep events is less than a second value, the user's central sympathetic nerve activity is increased at night.

[0013] In some embodiments, whether an event of increased central sympathetic nerve activity occurs can be determined by using physiological data such as blood oxygen, heart rate, and respiratory rate collected by a pre-installed PPG module on the wearable device.

[0014] If the blood oxygen level, heart rate, and respiratory rate meet the second condition, the wearable device determines that an OSA event has occurred. If the heart rate and respiratory rate meet the third condition, the wearable device determines that a REM event has occurred. If the heart rate and respiratory rate meet the fourth condition, the wearable device determines that a NREM event has occurred. If the blood oxygen level, heart rate, and respiratory rate meet the fifth condition, the wearable device determines that an increased central sympathetic nervous system activity event has occurred. The second, third, and fourth conditions are different.

[0015] In some embodiments, the PPG module can also be replaced by other devices. This application only uses the PPG module as an example for illustration and does not limit this.

[0016] In some embodiments, the motion sensor may be replaced by other devices. This application only uses the motion sensor as an example for illustration and does not limit this.

[0017] In some embodiments, the wearable device is not limited to using a PPG module and motion sensor. A microphone can also be used to collect ambient sound and human speech to determine whether the user is asleep. Generally, after falling asleep, the surrounding environment is relatively quiet, and the user rarely speaks. When the intensity of the ambient sound is less than a preset level and / or the intensity of human speech is less than a preset level, the user can be determined to be asleep.

[0018] In some embodiments, the wearable device can also determine whether the user is asleep by using the ambient brightness detected by the optical sensor. Generally, the ambient light in which the user sleeps is dim. When the ambient brightness detected by the optical sensor is less than a preset brightness, it can be determined that the user is asleep.

[0019] In some embodiments, the wearable device can also determine whether the user is asleep by using signals such as EMG, EEG, and GSR skin electrodermal signals collected by electrodes. When the EMG, EEG, and GSR skin electrodermal signals meet preset conditions, it can be determined that the user is asleep.

[0020] The above one or more methods of determining whether the user has fallen asleep can be used alone to determine whether the user has fallen asleep, or two or more methods can be used in combination to determine whether the user has fallen asleep. This application does not limit this.

[0021] This method starts blood pressure measurement when a specific sleep event is detected and stops when no specific sleep event is detected. This can reduce interference with the user's sleep, reduce power consumption of the wearable device, and improve the user experience.

[0022] In combination with the first aspect, in a possible implementation, OSA events, REM events and events of increased central sympathetic nerve activity are sleep events that cause the user's blood pressure to increase; when the first sleep event includes any one or more of OSA events, REM events and events of increased central sympathetic nerve activity, before the wearable device obtains the motion data collected by the motion sensor and the first PPG signal collected by the PPG module, the method also includes: the wearable device receives a first user operation, and the first user operation is used to instruct the wearable device to measure the user's blood pressure when monitoring the first sleep event; when the user is in a sleep state and it is determined based on the first PPG signal that the user is in the first sleep event, the wearable device measures the user's blood pressure and obtains a first blood pressure value, specifically including: in response to the first operation, when the user is in a sleep state and it is determined based on the first PPG signal that the user is in the first sleep event, the wearable device measures the user's blood pressure and obtains the first blood pressure value.

[0023] This way, if a user knows they have high blood pressure, they can proactively set their wearable device to automatically measure their blood pressure when it detects a sleep event that causes their blood pressure to rise. This allows the wearable device to proactively monitor the blood pressure of the hypertensive user while also minimizing disruption to the user's sleep.

[0024] In combination with the first aspect, in a possible implementation, the NREM sleep event is a sleep event that causes the user's blood pressure to decrease; when the first sleep event includes a NREM sleep event, before the wearable device obtains the motion data collected by the motion sensor and the first PPG signal collected by the PPG module, the method also includes: the wearable device receives a second user operation, and the second user operation is used to instruct the wearable device to measure the user's blood pressure when the first sleep event is monitored; when the user is in a sleep state and it is determined based on the first PPG signal that the user is in the first sleep event, the wearable device measures the user's blood pressure and obtains the first blood pressure value, specifically including: in response to the second operation, when the user is in a sleep state and it is determined based on the first PPG signal that the user is in the first sleep event, the wearable device measures the user's blood pressure and obtains the first blood pressure value.

[0025] This way, if a user knows they have low blood pressure, they can proactively set the wearable device to automatically measure their blood pressure when it detects a sleep event that causes a drop in their blood pressure. This can proactively trigger the wearable device to monitor the blood pressure of the user with low blood pressure, while also minimizing disruption to the user's sleep.

[0026] In combination with the first aspect, in a possible implementation, OSA events, REM events and events of increased central sympathetic nerve activity are sleep events that cause the user's blood pressure to increase; when the first sleep event includes any one or more of OSA events, REM events and events of increased central sympathetic nerve activity, before the wearable device obtains the motion data collected by the motion sensor and the PPG signal collected by the PPG module, the method also includes: the wearable device obtains the user's blood pressure measurement data within a first time period; the wearable device determines that the user is a hypertensive user based on the user's blood pressure measurement data within the first time period; when the user is in a sleeping state and it is determined based on the first PPG signal that the user is in the first sleep event, the wearable device measures the user's blood pressure and obtains a first blood pressure value, specifically including: in response to determining that the user is a hypertensive user, when the wearable device monitors the first sleep event, measuring the user's blood pressure and obtaining the first blood pressure value.

[0027] In this way, the wearable device can determine whether the user has hypertension based on historical blood pressure data. After determining that the user has hypertension, the wearable device automatically begins measuring the user's blood pressure when it detects a sleep event that causes the user's blood pressure to rise at night. This not only automatically triggers the wearable device to monitor the user's blood pressure, but also reduces interference with the user's sleep.

[0028] In combination with the first aspect, in a possible implementation, the NREM sleep event is a sleep event that causes the user's blood pressure to decrease; when the first sleep event includes an NREM sleep event, before the wearable device obtains the motion data collected by the motion sensor and the PPG signal collected by the PPG module, the method also includes: the wearable device obtains the user's blood pressure measurement data within a first time period; the wearable device determines that the user is a low-blood-pressure user based on the user's blood pressure measurement data within the first time period; when the user is in a sleeping state and it is determined based on the first PPG signal that the user is in the first sleep event, the wearable device measures the user's blood pressure and obtains a first blood pressure value, specifically including: in response to determining that the user is a low-blood-pressure user, when the wearable device monitors the first sleep event, measuring the user's blood pressure and obtaining the first blood pressure value.

[0029] In this way, the wearable device can determine whether the user has low blood pressure based on historical blood pressure data. After determining that the user has low blood pressure, the wearable device automatically begins measuring the user's blood pressure when it detects a sleep event that causes a drop in the user's blood pressure at night. This not only automatically triggers the wearable device to monitor the blood pressure of the user with low blood pressure, but also reduces interference with the user's sleep.

[0030] In combination with the first aspect, in a possible implementation, the wearable device also includes a blood pressure measuring device, the blood pressure measuring device includes an inflatable component, an airbag and an air pressure sensor, the airbag is connected to the inflatable component and the air pressure sensor, and the PPG module includes a light source and a PPG sensor; before the wearable device obtains the motion data collected by the motion sensor and the PPG signal collected by the PPG module, the method also includes: the wearable device controls the blood pressure measuring device to collect N groups of blood pressure values ​​and controls the PPG module to collect N groups of PPG signals corresponding to the N groups of blood pressure values; the wearable device generates a first target model based on the N groups of blood pressure values ​​and the N groups of PPG signals, the input of the first target model is the PPG signal, the output of the first target model is the blood pressure value, and N is a positive integer greater than or equal to 2; the wearable device measures the user's blood pressure to obtain the first blood pressure value, specifically including: the wearable device controls the PPG module to collect the second PPG signal; the wearable device determines the first blood pressure value based on the second PPG signal and the first target model.

[0031] Through this method, the wearable device can measure the user's blood pressure at night through the PPG signal collected by the PPG module, which can further reduce the impact of nighttime blood pressure measurement on the user's sleep.

[0032] In conjunction with the first aspect, in a possible implementation, the wearable device further includes a blood pressure measuring device, the blood pressure measuring device includes an inflatable component, an airbag, and an air pressure sensor, and the airbag is connected to the inflatable component and the air pressure sensor;

[0033] Before the wearable device acquires the motion data collected by the motion sensor and the PPG signal collected by the PPG module, the method further includes: the wearable device collecting N sets of airbag pressures and N sets of blood pressure values ​​corresponding to the N sets of airbag pressures, wherein the N sets of airbag pressures include the airbag pressure corresponding to the moment when the oscillation wave of the air pressure in the N sets of airbags reaches a maximum value and the airbag pressure corresponding to the moment when the oscillation wave of the air pressure in the airbags reaches a×maximum value;

[0034] The wearable device generates a second target model based on N groups of airbag pressures and N groups of blood pressure values ​​corresponding to the N groups of airbag pressures, where the input of the second target model is the maximum value of the airbag pressure, and the output of the first target model is the blood pressure value, and N is a positive integer greater than or equal to 2; the wearable device measures the user's blood pressure to obtain a first blood pressure value, specifically including: the wearable device controls the inflatable component to input the air pressure of the first airbag pressure into the airbag, wherein the first airbag pressure is less than the airbag pressure corresponding to the moment when the oscillation wave of the air pressure in the airbag reaches a×maximum value; the wearable device determines the first blood pressure value based on the first airbag pressure and the second target model.

[0035] Through this method, the wearable device can collect the user's blood pressure at night through the blood pressure measuring device based on the micro-inflation-deflation method, which can further reduce the impact of nighttime blood pressure measurement on the user's sleep.

[0036] In combination with the first aspect, in a possible implementation, before the wearable device obtains the motion data collected by the motion sensor and the PPG signal collected by the PPG module, the method also includes: when monitoring that the wearable device is converted from a non-wearing state to a wearing state, the wearable device displays a first prompt message, and the first prompt message is used to prompt the user to confirm whether it is worn by the local user; the wearable device receives and responds to the user's first operation on the first option in the first prompt message, and confirms that it is the local user wearing it; after the wearable device obtains the first blood pressure value, the method also includes: the wearable device saves the first blood pressure value in a first storage area, and the first storage area stores the blood pressure measurement data of the local user.

[0037] In a possible implementation, the method also includes: the wearable device receives and responds to the user's second operation on the second option in the first prompt information, confirming that the user is not a local user, Pety; after the wearable device obtains the first blood pressure value, the method also includes: the wearable device saves the first blood pressure value in a second storage area, the second storage area stores blood pressure measurement data of non-local users, and the first storage area is different from the second storage area.

[0038] In this way, before the wearable device starts measuring blood pressure, it can prompt the user to choose whether to wear it for the local user. This can avoid storing blood pressure measurement data of different users together, which will affect the accuracy of the analysis results of the blood pressure measurement data of a single user.

[0039] In a second aspect, the present application provides a wearable device, which includes a motion sensor, a PPG module, a memory, and a processor; wherein the motion sensor, the PPG module, the memory and the processor are coupled, and the memory is used to store a computer program. When the processor executes and calls the computer program, the wearable device executes a blood pressure detection method provided in any possible implementation of any of the above aspects.

[0040] In a third aspect, the present application provides a computer-readable storage medium comprising instructions. When the instructions are run on a wearable device, the wearable device executes a blood pressure detection method provided in any possible implementation of any of the above aspects.

[0041] In a fourth aspect, the present application provides a chip system, which includes one or more processors, and the processor is used to call computer instructions to execute a blood pressure detection method provided in any possible implementation of any of the above aspects.

[0042] In a fifth aspect, the present application provides a computer program product comprising instructions. When the computer program product is run on a wearable device, the wearable device executes a blood pressure detection method provided in any possible implementation of any of the above aspects.

[0043] For the description of the beneficial effects of the second to fifth aspects, reference may be made to the description of the beneficial effects in the first aspect, and this application will not repeat them here. BRIEF DESCRIPTION OF THE DRAWINGS

[0044] FIG1 shows a schematic diagram of a user wearing a wearable device 100;

[0045] FIG2 shows a schematic diagram of the structure of the wearable device 100;

[0046] FIG3 is an exemplary schematic diagram of the principle of the oscillometric method provided in an embodiment of the present application;

[0047] FIG4 is another exemplary schematic diagram of the principle of the oscillometric method provided in an embodiment of the present application;

[0048] FIG5A shows a schematic diagram of the hardware structure of the wearable device 100;

[0049] FIG5B is a schematic diagram of the structure of an air bag, an air pump, and an air path conducting assembly provided in an embodiment of the present application;

[0050] 6A-6E are schematic diagrams showing the wearable device 100 receiving a user operation to start a nighttime blood pressure measurement mode;

[0051] 6F-6M are schematic diagrams showing the electronic device 200 receiving a user operation to start the nighttime blood pressure measurement mode;

[0052] 6N-6O are schematic diagrams showing the wearable device 100 automatically turning on the nighttime blood pressure measurement mode;

[0053] 6P-6V illustrate schematic diagrams of the wearable device 100 confirming the user's identity;

[0054] 7A-7D are schematic diagrams showing the wearable device 100 measuring the blood pressure of a user;

[0055] 8A-8D show schematic diagrams of the composition structures of several PPG modules;

[0056] 9A-9I are schematic diagrams showing the wearable device 100 displaying blood pressure measurement results;

[0057] 10A-10E are schematic diagrams showing the wearable device 100 prompting the user to record recently performed activity events after detecting abnormally high daytime blood pressure;

[0058] 11A-11E are schematic diagrams showing the wearable device 100 prompting the user to record recently performed activity events after detecting abnormally low daytime blood pressure. DETAILED DESCRIPTION

[0059] The following is a clear and detailed description of the technical solutions in the embodiments of the present application in conjunction with the accompanying drawings. In the description of the embodiments of the present application, unless otherwise specified, " / " means or, for example, A / B can mean A or B; "and / or" in the text is only a description of the association relationship between related objects, indicating that there can be three relationships, for example, A and / or B can mean: A exists alone, A and B exist at the same time, and B exists alone. In addition, in the description of the embodiments of the present application, "multiple" means two or more than two.

[0060] In the following, the terms "first" and "second" are used for descriptive purposes only and should not be understood to imply or suggest relative importance or implicitly indicate the number of the technical features indicated. Therefore, the features defined as "first" and "second" may explicitly or implicitly include one or more of the features. In the description of the embodiments of this application, unless otherwise specified, "plurality" means two or more.

[0061] The term "user interface (UI)" in the following embodiments of this application refers to the media interface for interaction and information exchange between an application or operating system and a user, which realizes the conversion between the internal form of information and the form acceptable to the user. The commonly used form of user interface is the graphical user interface (GUI), which refers to a user interface related to computer operations displayed in a graphical manner. It can be a visual interface element such as text, icons, buttons, menus, tabs, text boxes, dialog boxes, status bars, navigation bars, widgets, etc. displayed on the display screen of a wearable device.

[0062] In order to effectively prevent and intervene in cardiovascular events, nighttime sleep monitoring is essential for high-risk patients. Nighttime sleep monitoring can reflect the patient's cardiovascular function and risk level through a number of physiological indicators, such as but not limited to respiration, heart rate, sleep quality, blood pressure, blood oxygen, etc. Nighttime sleep monitoring is essentially different from daytime monitoring, because in the sleeping state, the patient's hemodynamics, respiration, autonomic nervous system, etc. will undergo special changes, which may induce or aggravate cardiovascular events. Compared with daytime blood pressure, nighttime blood pressure is more closely related to the risk of death from cardiovascular and cerebrovascular diseases. The patient's nighttime blood pressure can be monitored to prevent critical situations such as cardiovascular events.

[0063] Users can measure their blood pressure with a wrist ambulatory blood pressure monitor. This conveniently fits on the user's wrist, allowing for easy and convenient measurement without disrupting daily activities. It also allows for real-time blood pressure monitoring.

[0064] With the advancement of electronic technology, the functionality of wearable devices continues to increase. For example, wearable devices such as wristbands and watches can now measure blood pressure. Wearing a wearable device on the wrist not only monitors the user's blood pressure in real time, but also allows users to play music, make and receive calls, send messages, and view exercise data, among other functions.

[0065] After the user falls asleep at night, if the wearable device 100 continuously / irregularly / periodically measures the user's blood pressure, it may disturb the user's rest and affect the user's sleep quality.

[0066] In order to monitor the user's abnormal blood pressure at night without affecting the user's sleep quality, the present application provides a nighttime blood pressure measurement method. The wearable device 100 can monitor the user's sleep events and dynamically start nighttime blood pressure measurement without continuously measuring the user's blood pressure. It can monitor the user's abnormal blood pressure at night and reduce the impact on the user's sleep quality.

[0067] Sleep events include sleep events that may cause the user's blood pressure to rise or fall. Abnormal blood pressure may lead to critical situations such as cardiovascular events that affect the user's life safety.

[0068] The wearable device 100 can monitor nighttime sleep events, dynamically initiate nighttime blood pressure measurement, and monitor the nighttime blood pressure corresponding to the sleep events, thereby detecting whether there are any critical situations such as cardiovascular events that may affect the user's life safety.

[0069] Sleep events may include, but are not limited to, obstructive sleep apnea (OSA) events, rapid eye movement (REM) sleep events, non-REM sleep events, and central sympathetic nerve activity increase events.

[0070] Next, we will introduce the definitions of the different sleep events mentioned above.

[0071] 1. OSA events

[0072] An OSA event can cause the user's blood pressure to rise.

[0073] OSA is a common condition. It occurs when a user experiences recurring apnea or hypopnea during sleep due to upper airway obstruction, leading to intermittent hypoxia and hypercapnia. It is associated with multiple systemic diseases and is an independent risk factor for common conditions such as cardiovascular disease. At the end of apnea, increased cardiac output and strong vasoconstriction cause arterial blood pressure to surge. For example, blood pressure can rise from a normal 130 / 60 mmHg to 220 / 130 mmHg during apnea.

[0074] Generally speaking, OSA patients mainly have symptoms including but not limited to the following: habitual snoring, daytime sleepiness, nighttime gasping or awakening, insomnia, memory loss, etc.

[0075] In some embodiments, whether OSA has occurred can be determined by using physiological data such as blood oxygen, heart rate, and respiratory rate collected by a pre-installed PPG module on the wearable device 100.

[0076] In other embodiments, the apnea-hypopnea index (AHI) may be used to determine whether the user has experienced OSA during sleep. For example, OSA may be diagnosed when the AHI is greater than or equal to 5 times per hour.

[0077] 2. REM sleep events

[0078] REM sleep events may cause the user's blood pressure to rise. For example, a hypertensive user may have an abnormally high blood pressure during a REM sleep event.

[0079] REM sleep is a stage of sleep in animals. During REM sleep, the eyeballs move rapidly while the body muscles relax. REM sleep is very similar to the waking state. The body is paralyzed, but the brain is very active. REM sleep is associated with dreaming. During REM sleep, sympathetic nerve activity sometimes increases, causing a temporary increase in the user's heart rate and blood pressure. In some embodiments, physiological data such as heart rate and respiratory rate collected by a pre-installed PPG module on the wearable device 100 can be used to determine whether the wearable device is in a REM sleep event.

[0080] 3. NREM sleep events

[0081] NREM sleep events may cause a user's blood pressure to drop. For example, a user with high blood pressure may experience an abnormal drop in blood pressure during a REM sleep event.

[0082] NREM sleep can refer to sleep without rapid eye movement. In the NREM sleep stage, brain activity drops to a minimum, allowing the human body to be completely comfortable. NREM sleep is different from REM sleep. Dreaming rarely occurs in the NREM sleep stage. NREM sleep can be divided into four stages. The first stage occurs at the beginning of sleep, when the eyeballs move slowly. In this stage, the user will think that they are awake. But there will be a feeling of drowsiness. In the second stage, the user has entered the unconscious stage and the eyeballs no longer move. The third stage is the transition period between the second and fourth stages. The fourth stage can refer to the deep sleep stage, in which the user's awareness of wakefulness is the lowest. The awareness of wakefulness of users in the fourth stage is lower than that of users in the third stage, the awareness of wakefulness of users in the third stage is lower than that of users in the second stage, and the awareness of wakefulness of users in the second stage is lower than that of users in the first stage.

[0083] In some embodiments, whether the wearable device 100 is in an NREM sleep event can be determined by collecting physiological data such as heart rate and respiratory rate through a pre-installed PPG module on the wearable device 100.

[0084] 4. Events of increased central sympathetic nervous system activity

[0085] An event of increased central sympathetic nervous system activity may cause a user's blood pressure to rise. For example, a hypertensive user may experience an abnormally high blood pressure during an event of increased central sympathetic nervous system activity.

[0086] Events of increased central sympathetic nervous system activity were associated with the number of nocturnal awakenings, duration of NREM sleep, and latency to REM sleep.

[0087] REM sleep event latency refers to the time from falling asleep to the first occurrence of a REM sleep event.

[0088] The wearable device 100 can monitor the user's awakening times, NREM sleep duration, REM sleep latency, etc. If the user's awakening times are greater than a preset number, the NREM sleep duration is less than a first value, and the REM sleep latency is less than a second value, the user's central sympathetic nervous system activity is enhanced at night, which may lead to an increase in the user's frontal blood pressure.

[0089] In some embodiments, whether an event of increased central sympathetic nerve activity occurs can be determined by using physiological data such as blood oxygen, heart rate, and respiratory rate collected by a pre-installed PPG module on the wearable device 100.

[0090] Based on the above description, it can be seen that OSA events, REM sleep events and increased central sympathetic nerve activity events may cause an increase in blood pressure in hypertensive users, and NREM sleep events may cause a decrease in blood pressure in hypertensive users.

[0091] Not limited to the above-mentioned sleep events, the wearable device 100 can also monitor other sleep events. This application only uses OSA events, REM sleep events, NREM sleep events and central sympathetic nerve activity increased events as examples for illustration, but does not constitute a limitation.

[0092] The determination of OSA events, REM events, NREM sleep events, and events of increased central sympathetic nerve activity is not limited to the PPG signals collected by the PPG module, but OSA events, REM events, NREM sleep events, and events of increased central sympathetic nerve activity can also be determined based on signals collected by other devices. For example, OSA events, REM events, NREM sleep events, and events of increased central sympathetic nerve activity can be determined through information such as EMG electromyography, EEG electroencephalography, and GSR electrocutaneous signals collected by electrodes. This application does not limit this.

[0093] The present application provides a method for nighttime blood pressure monitoring. The wearable device 100 can monitor sleep events at night and dynamically start blood pressure monitoring to reduce the impact on the user's sleep.

[0094] The wearable device 100 can classify sleep events into two categories based on their impact on nighttime blood pressure, including sleep events that may cause increased blood pressure and sleep events that may cause decreased blood pressure.

[0095] Among them, sleep events that may cause increased blood pressure may include but are not limited to: OSA events, REM sleep events, and events of increased central sympathetic nerve activity.

[0096] Sleep events that may cause a decrease in blood pressure may include, but are not limited to, NREM sleep events.

[0097] In some embodiments, different blood pressure measurement strategies may be initiated for different groups of people with abnormal blood pressure.

[0098] For example, for people with hypertension, the wearable device 100 can monitor sleep events that cause increased blood pressure, and measure blood pressure after monitoring the sleep events that cause increased blood pressure.

[0099] For another example, for people with hypertension, the wearable device 100 can monitor sleep events that cause lower blood pressure, and measure blood pressure after monitoring the sleep events that cause lower blood pressure.

[0100] For another example, for people with hypertension, the wearable device 100 can simultaneously monitor sleep events that cause increased blood pressure and sleep events that cause decreased blood pressure, and measure blood pressure after monitoring sleep events that cause increased blood pressure and sleep events that cause decreased blood pressure.

[0101] In other embodiments, the user can also set the timing for the wearable device 100 to measure blood pressure. For example, the user can set the wearable device 100 to start measuring blood pressure when it detects a sleep event that causes an increase in blood pressure. For another example, the user can set the wearable device 100 to start measuring blood pressure when it detects a sleep event that causes a decrease in blood pressure. For another example, the user can set the wearable device 100 to start measuring blood pressure when it detects both a sleep event that causes an increase in blood pressure and a sleep event that causes a decrease in blood pressure.

[0102] Next, a wearable device 100 for measuring blood pressure provided by the present application is introduced.

[0103] FIG1 shows a schematic diagram of a user wearing a wearable device 100 .

[0104] As shown in FIG1 , a user may wear the wearable device 100 on the user's wrist.

[0105] FIG2 shows a schematic diagram of the structure of the wearable device 100 .

[0106] As shown in FIG. 2 , the wearable device 100 may include a watch body 201 and a wearable component 202 .

[0107] The watch body 201 is equipped with a motion sensor, such as a gyroscope sensor and an acceleration sensor. The motion sensor is used to collect motion data and determine whether the user is in a sleeping state based on the motion state obtained by analyzing the motion data.

[0108] The watch body 201 may include a display screen 203. The display screen 203 may be used to display content such as the time, the battery level of the watch body 201, a Bluetooth identifier, received messages, and user motion data. The display screen 203 may be used to receive user click operations to illuminate the display screen, start and end motion modes, and the like. The display screen 203 may also record the user's steps and calories burned, and provide basic functions such as incoming call reminders and message notifications. In one possible implementation, the watch body 201 may establish a wireless communication connection with the wearable device 100 via Bluetooth. The watch body 201 may send the user's motion data to the connected wearable device 100. Furthermore, when the wearable device 100 receives an incoming call or message notification, the watch body 201 may receive instructions from the mobile phone to remind the user of the incoming call or message notification.

[0109] Wearable component 202 is used to mount watch body 201. For example, wearable component 202 can be a wristband or watch strap. Wearable component 202 is a device that allows watch body 201 to be attached to the user's wrist. When wearable device 100 is attached to the user's wrist, the inertial sensor can collect wrist motion data to monitor wrist movement and determine the user's posture.

[0110] When the wearable device 100 starts to measure blood pressure, the wearable device 100 can control the wearable component 202 to contract and then relax to measure the user's blood pressure.

[0111] In some embodiments, the process of measuring blood pressure by the wearable device 100 may include: first, the wearable device 100 inflates the wearable component 202 to temporarily occlude the arm artery; then, while slowly deflating the air, the wearable device 100 records the air pressure value of the wearable component 202 and the pulse signal generated by the pulse; finally, the user's blood pressure is determined based on the air pressure value of the wearable component 202 and the amplitude or envelope of the pulse signal. Blood flow exerts lateral pressure on the blood vessel wall, and changes in the magnitude of the lateral pressure cause the blood vessel wall to vibrate slightly. The pulse signal is a signal generated by this slight vibration of the blood vessel wall. Determining the user's blood pressure based on the air pressure value of the wearable component 202 and the amplitude or envelope of the pulse signal is also known as the oscillometric method.

[0112] In other embodiments, the process of measuring blood pressure by the wearable device 100 may include: the wearable device 100 may gradually inflate the wearable component 202 so that the arm artery is completely blocked by the component, record the air pressure value of the wearable component 202 and the pulse signal generated by the pulse, then determine the user's blood pressure based on the air pressure value of the wearable component 202 and the amplitude or envelope of the pulse signal, and finally deflate. Among them, blood flow will generate lateral pressure on the blood vessel wall, and the change in the magnitude of the lateral pressure will cause the blood vessel wall to vibrate slightly. The pulse signal is a signal generated by the slight vibration of the blood vessel wall. Among them, determining the user's blood pressure based on the air pressure value of the wearable component 202 and the amplitude or envelope of the pulse signal is also called the oscillometric method.

[0113] FIG3 is an exemplary schematic diagram of the principle of the oscillometric method provided in an embodiment of the present application.

[0114] As shown in Figure 3, as wearable device 100 inflates wearable component 202 to temporarily occlude an arm artery, the pressure in wearable component 202 gradually increases to a stable state, and the artery gradually becomes completely blocked. Then, as the pressure slowly decreases, the pressure in wearable component 202 gradually decreases to zero, and the artery gradually becomes unblocked. During this gradual decrease in pressure, the pressure and pulse signal of wearable component 202 are recorded. When the air pressure value of wearable component 202 is greater than or equal to the systolic pressure, the artery is blocked and the pulse signal is a small oscillatory wave. When the air pressure value of wearable component 202 gradually decreases and becomes less than the systolic pressure and greater than the mean pressure, the artery gradually becomes unblocked and the amplitude of the pulse signal increases continuously. When the air pressure value of wearable component 202 equals the mean pressure, the amplitude of the pulse signal reaches its maximum value. When the air pressure value of wearable component 202 continues to gradually decrease and becomes greater than the diastolic pressure and less than the mean pressure, the amplitude of the pulse signal gradually decreases. When the air pressure value of wearable component 202 is less than the diastolic pressure, the pulse signal is a small oscillatory wave. Therefore, wearable device 100 can determine the user's systolic and diastolic blood pressure by the amplitude changes of the pulse signal and the air pressure value of wearable component 202. In one possible implementation, the air pressure value of wearable component 202 and the pulse signal can be determined by a built-in air pressure sensor in wearable device 100.

[0115] FIG4 is another exemplary schematic diagram of the principle of the oscillometric method provided in an embodiment of the present application.

[0116] As shown in Figure 4, during the process of wearable device 100 inflating wearable component 202 to temporarily occlude an arm artery, the pressure in wearable component 202 gradually increases to a stable state, and the artery gradually becomes completely blocked. During this period of pressure increase, the air pressure and pulse signal of wearable component 202 are recorded. When the air pressure in wearable component 202 gradually increases and the diastolic pressure is less than the mean pressure, the pulse signal is a fine oscillatory wave. When the air pressure in wearable component 202 continues to increase and becomes greater than the diastolic pressure but less than the mean pressure, the amplitude of the pulse signal gradually increases. When the air pressure in wearable component 202 equals the mean pressure, the amplitude of the pulse signal reaches its maximum value. When the air pressure in wearable component 202 gradually increases and becomes greater than the mean pressure but less than the systolic pressure, the artery gradually becomes blocked, and the amplitude of the pulse signal continuously decreases. When the air pressure in wearable component 202 is greater than or equal to the systolic pressure, the artery is blocked, and the pulse signal is a fine oscillatory wave. Therefore, the wearable device 100 can determine the user's systolic and diastolic blood pressures by the amplitude change of the pulse signal and the air pressure value of the wearable component 202. In one possible implementation, the air pressure value of the wearable component 202 and the pulse signal can be determined by a built-in air pressure sensor in the wearable device 100.

[0117] FIG5A shows a schematic diagram of the hardware structure of the wearable device 100 .

[0118] As shown in FIG5A , the wearable device can be a wearable device such as a bracelet, a watch, etc., and the wearable device 100 can also be a non-wearable device such as a wall-type blood pressure monitor. The embodiment of the present application does not impose any special restrictions on the specific type of the wearable device. The embodiment of the present application is only described by taking the wearable device 100 as a watch as an example.

[0119] Wearable device 100 may include: a processor 200A, a wireless communication module 201, a mobile communication module 202, a sensor module 203, a button 204, a display 205, a motor 206, an internal memory 207, a SIM card interface 208, a USB interface 209, a power management module 210, a battery 211, and a charging management module 212. Sensor module 203 may include a touch sensor 203A, an air pressure sensor 203B, an air pump 203C, an airbag 203D, a magnetic sensor 203E, a photoplethysmography (PPG) sensor 203F, a motion sensor 203G, and an air path conducting component 203H. The airbag 203D has similar functions to the wearable component 202.

[0120] It is understood that the structures illustrated in the embodiments of the present invention do not constitute specific limitations on wearable devices. In other embodiments of the present application, the wearable device may include more or fewer components than shown, or combine or separate certain components, or arrange the components differently. The illustrated components may be implemented in hardware, software, or a combination of software and hardware.

[0121] The processor 200A may include one or more processing units. For example, the processor 200A may include an application processor (AP), a modem processor, a graphics processing unit (GPU), an image signal processor (ISP), a controller, a video codec, a digital signal processor (DSP), a baseband processor, and / or a neural-network processing unit (NPU). The different processing units may be independent devices or integrated into one or more processors.

[0122] In some embodiments, the processor 200A may include one or more interfaces. The interfaces may include an inter-integrated circuit (I2C) interface, an inter-integrated circuit sound (I2S) interface, a pulse code modulation (PCM) interface, a universal asynchronous receiver / transmitter (UART) interface, a mobile industry processor interface (MIPI), a general-purpose input / output (GPIO) interface, a subscriber identity module (SIM) interface, and / or a universal serial bus (USB) interface.

[0123] In some embodiments, the processor 200A may also be a microcontroller unit (MCU).

[0124] The I2C interface is a bidirectional synchronous serial bus that includes a serial data line (SDA) and a serial clock line (SCL). In some embodiments, the processor 200A may include multiple I2C bus lines. The processor 200A may be coupled to the touch sensor 203A, the power management module 210, and the like via different I2C bus interfaces. For example, the processor 200A may be coupled to the touch sensor 203A via the I2C interface, enabling communication between the processor 200A and the touch sensor 203A via the I2C bus interface, thereby enabling touch functionality for the wearable device.

[0125] The I2S interface can be used for audio communication. The PCM interface can also be used for audio communication to sample, quantize, and encode analog signals. The UART interface is a universal serial data bus used for asynchronous communication. This bus can be a bidirectional communication bus. It converts the data to be transmitted between serial communication and parallel communication. In some embodiments, the UART interface is typically used to connect the processor 200A and the wireless communication module 201. For example, the processor 200A communicates with the Bluetooth module in the wireless communication module 201 via the UART interface to implement Bluetooth functionality.

[0126] The MIPI interface can be used to connect the processor 200A to peripheral devices such as the display 205. MIPI interfaces include the camera serial interface (CSI) and the display serial interface (DSI). The processor 200A and the display 205 communicate via the DSI interface, enabling the display function of the wearable device.

[0127] The GPIO interface can be configured via software. It can be configured as either a control signal or a data signal. The USB interface 209 is an interface that complies with USB standards and may be a Mini USB interface, a Micro USB interface, a USB Type-C interface, or the like. The USB interface 209 can be used to connect a charger to charge the wearable device and can also be used to transfer data between the wearable device and peripheral devices.

[0128] It is understood that the interface connection relationship between the modules illustrated in the embodiments of the present invention is only a schematic illustration and does not constitute a structural limitation on the wearable device. In other embodiments of the present application, the wearable device may also adopt a different interface connection method from the above embodiments, or a combination of multiple interface connection methods.

[0129] The charging management module 212 is configured to receive charging input from a charger. The charger can be either a wireless charger or a wired charger. In some wired charging embodiments, the charging management module 212 can receive charging input from the wired charger via the USB interface 209. In some wireless charging embodiments, the charging management module 212 can receive wireless charging input via the wearable device's wireless charging coil. While charging the battery 211, the charging management module 212 can also provide power to the wearable device via the power management module 210.

[0130] The power management module 210 is used to connect the battery 211, the charging management module 212, and the processor 200A. The power management module 210 receives input from the battery 211 and / or the charging management module 212 and provides power to the processor 200A, the internal memory 207, the display 205, and the wireless communication module 201. The power management module 210 can also be used to monitor parameters such as battery capacity, battery cycle count, and battery health status (leakage, impedance). In some other embodiments, the power management module 210 can also be provided in the processor 200A. In other embodiments, the power management module 210 and the charging management module 212 can also be provided in the same device.

[0131] The wireless communication function of the wearable device can be implemented through the mobile communication module 202, the wireless communication module 201, the modem processor and the baseband processor.

[0132] The mobile communication module 202 can provide solutions for wireless communications including 2G / 3G / 4G / 5G, etc., applied to wearable devices. The mobile communication module 202 may include at least one filter, a switch, a power amplifier, a low noise amplifier (LNA), etc. The mobile communication module 202 can receive electromagnetic waves from the antenna, filter, amplify, and process the received electromagnetic waves, and transmit them to the modulation and demodulation processor for demodulation. In some embodiments, at least some of the functional modules of the mobile communication module 202 can be set in the processor 200A. In some embodiments, at least some of the functional modules of the mobile communication module 202 can be set in the same device as at least some of the modules of the processor 200A.

[0133] The wireless communication module 201 can provide wireless communication solutions for wearable devices, including wireless local area networks (WLAN) (such as wireless fidelity (Wi-Fi) networks), Bluetooth (BT), global navigation satellite system (GNSS), frequency modulation (FM), near field communication (NFC), infrared (IR), etc. The wireless communication module 201 can be one or more devices that integrate at least one communication processing module. The wireless communication module 201 receives electromagnetic waves via an antenna, frequency modulates and filters the electromagnetic wave signals, and sends the processed signals to the processor 200A. The wireless communication module 201 can also receive the signal to be sent from the processor 200A, frequency modulate it, amplify it, and convert it into electromagnetic waves for radiation through the antenna.

[0134] Keys 204 include a power button, a volume button, and the like. Keys 204 may be mechanical keys or touch-sensitive keys. The wearable device may receive key inputs and generate key signal inputs related to user settings and function control of the wearable device.

[0135] Display screen 205 is used to display images, videos, etc. Display screen 205 includes a display panel. The display panel can be a liquid crystal display (LCD), an organic light-emitting diode (OLED), an active-matrix organic light-emitting diode (AMOLED), a flexible light-emitting diode (FLED), a quantum dot light-emitting diode (QLED), etc. In some embodiments, the wearable device may include one or N display screens 205, where N is a positive integer greater than 1.

[0136] Motor 206 can generate vibration alerts. Motor 206 can be used for incoming call vibration alerts and touch vibration feedback. For example, touch operations on different applications (such as taking photos, playing audio, etc.) can correspond to different vibration feedback effects. Motor 206 can also correspond to different vibration feedback effects for touch operations on different areas of display screen 205.

[0137] The internal memory 207 may include one or more random access memories (RAM) and one or more non-volatile memories (NVM).

[0138] Random access memory may include static random-access memory (SRAM), dynamic random access memory (DRAM), synchronous dynamic random access memory (SDRAM), double data rate synchronous dynamic random access memory (DDR SDRAM, for example, the fifth generation of DDR SDRAM is generally referred to as DDR5 SDRAM), etc.

[0139] Non-volatile memory can include disk storage devices and flash memory. Flash memory can be divided into NOR FLASH, NAND FLASH, 3D NAND FLASH, etc. according to the operating principle. It can be divided into single-level cell (SLC), multi-level cell (MLC), triple-level cell (TLC), quad-level cell (QLC), etc. according to the storage cell potential level. It can be divided into universal flash storage (UFS) and embedded multi-media card (eMMC) according to the storage specification. Random access memory can be directly read and written by processor 200A. It can be used to store executable programs (such as machine instructions) of operating systems or other running programs, and can also be used to store user and application data. Non-volatile memory can also store executable programs and user and application data, etc., and can be loaded into random access memory in advance for direct reading and writing by processor 200A.

[0140] The SIM card interface 208 is used to connect a SIM card. The SIM card can be connected to or separated from the wearable device by inserting it into or removing it from the SIM card interface 208. The wearable device can support 1 or N SIM card interfaces, where N is a positive integer greater than 1. The SIM card interface 208 can support Nano SIM cards, Micro SIM cards, SIM cards, etc. Multiple cards can be inserted into the same SIM card interface 208 at the same time. The types of the multiple cards can be the same or different. The SIM card interface 208 can also be compatible with different types of SIM cards. The SIM card interface 208 can also be compatible with external memory cards. The wearable device interacts with the network through the SIM card to achieve functions such as calls and data communications. In some embodiments, the wearable device uses an eSIM, i.e., an embedded SIM card. The eSIM card can be embedded in the wearable device and cannot be separated from the wearable device.

[0141] In some embodiments, the wearable device 100 may not include the SIM card interface 208 .

[0142] Touch sensor 203A, also known as a "touch-sensitive device," can be disposed on display screen 205. Touch sensor 203A and display screen 205 form a touch screen, also known as a "touch screen." Touch sensor 203A is used to detect touch operations applied thereto or in the vicinity thereof. The touch sensor can transmit the detected touch operations to an application processor to determine the type of touch event. Visual output related to the touch operations can be provided via display screen 205. In other embodiments, touch sensor 203A can also be disposed on the surface of the wearable device, at a location different from that of display screen 205.

[0143] Air pressure sensor 203B is used to measure air pressure. In some embodiments of the present application, the wearable device uses air pressure sensor 203B to measure the air pressure in airbag 203D. In some embodiments of the present application, a portion of air pressure sensor 203B is located inside airbag 203D to sense the air pressure in airbag 203D.

[0144] Air pump 203C is used for inflation and deflation. In some embodiments of the present application, the wearable device inflates airbag 203D via air pump 203C, wherein air pump 203C and airbag 203D are connected via air path conducting component 203H. Airbag 203D is used to squeeze the user's blood vessels.

[0145] Magnetic sensor 203E includes a Hall sensor. In some embodiments of the present application, the wearable device can use magnetic sensor 203F to determine whether the airbag 203D on the wearable device has been removed. For example, a magnet can be configured on the airbag 203D or on a watch strap connected to the airbag 203D. The wearable device can use the magnetic sensor to determine the magnetic flux generated by the magnet on the airbag 203D or on the airbag 203D, thereby determining whether the airbag 203D on the wearable device has been removed.

[0146] The PPG sensor 203F can obtain the user's health data based on the PPG signal collected by the PPG sensor 203F. The user's health data includes but is not limited to: heart rate, blood oxygen, respiratory rate, blood oxygen saturation (SaO2), etc. In some embodiments, the PPG sensor 203F can also be called a PPG module.

[0147] The user's health data is not limited to the PPG sensor 203F, and can also be obtained based on other devices. This application only uses the PPG sensor 203F as an example for illustration and should not constitute a limitation.

[0148] The motion sensor 203G includes but is not limited to an acceleration sensor and an angular velocity sensor. The motion sensor 203G can be used to collect motion data and determine the user's motion state based on the motion data, and then determine whether the user is in a sleeping state based on the user's motion state.

[0149] It is worth noting that the air path conducting component 203H can be a separate component, or the air path conducting component 203H can also be an air path formed by the combination of other hardware modules, or the air path conducting component 203H can also be a part of other components, for example, it can be a part of the air pump 203C, or it can be a part of the airbag 203D.

[0150] It is worth noting that the sensor module 203 may also include an infrared sensor and the like.

[0151] As shown in Figure 5B , when the wearable device 100 is a watch, the airbag 203D is attached to the body-facing side of the wearable component 202. The air pump 203C is connected to the airbag 203D via an air channel assembly 203H. The airbag 203D can be attached to only one side of the wearable component 202, which can be located above an artery on the user's wrist, such as the radial artery.

[0152] The air pump 203C can be located inside the body of the smartwatch, and the airbag 203D can be connected to the watchband buckle, and the airbag 203D is connected to the dial through the air hole cover. Correspondingly, the airbag 203D can be separated from the watchband or the dial.

[0153] Next, it will be described how the wearable device 100 monitors the user's nighttime blood pressure.

[0154] 1. Turn on nighttime blood pressure measurement mode

[0155] The wearable device 100 may start measuring nocturnal blood pressure based on, but not limited to, any one or more of the following methods.

[0156] Method 1: The wearable device 100 receives a user operation to start the nighttime blood pressure measurement mode.

[0157] 6A-6E are schematic diagrams showing the wearable device 100 receiving a user operation to start the nighttime blood pressure measurement mode.

[0158] For example, as shown in FIG6A , the wearable device 100 receives user input and responds to user operations, displaying the user interface 610 shown in FIG6A . The user interface 610 may include option 601 , which is used to enable the nighttime blood pressure measurement mode of the wearable device 100 .

[0159] As shown in FIG6A , the wearable device 100 may receive a user input operation (eg, a single click) for option 601 . In response to the user input operation, the wearable device 100 may enable the nighttime blood pressure measurement mode.

[0160] The wearable device 100 turns on the blood pressure measurement mode, which may mean that after the wearable device 100 detects that the user has fallen asleep or reaches a preset time, the wearable device 100 starts monitoring sleep events and measures the user's blood pressure after detecting the sleep event.

[0161] In some embodiments, after the wearable device 100 turns on the nighttime blood pressure measurement mode, the wearable device 100 may prompt the user to select the type of sleep event to be monitored.

[0162] For example, in response to a user input operation on option 601 in user interface 610, wearable device 100 may display user interface 620 shown in FIG6B , where user interface 620 includes multiple options, which may include option 6201, option 6202, and option 6203. Option 6201 is used by the user to select that the wearable device 100 monitors sleep events that cause increased blood pressure, option 6202 is used by the user to select that the wearable device 100 monitors sleep events that cause decreased blood pressure, and option 6203 is used by the user to select that the wearable device 100 monitors both sleep events that cause increased blood pressure and sleep events that cause decreased blood pressure.

[0163] As shown in Figure 6C, the wearable device 100 can receive the user's input operation (such as a single click) for option 6201. In response to the user's input operation, the wearable device 100 can monitor whether there is a sleep event that causes high blood pressure at night, and start measuring the user's blood pressure after monitoring the occurrence of a sleep event that causes high blood pressure.

[0164] In response to selecting option 6201, the wearable device 100 may change the display form of option 6201, such as deepening the display, etc. Thereafter, the wearable device 100 may receive a user input operation (e.g., a single click) for option 6204 in the user interface 620. In response to the user input operation, the wearable device 100 may begin monitoring sleep events that cause elevated blood pressure at night.

[0165] In other embodiments, the wearable device 100 may not display the user interface shown in Figures 6B-6C. After the wearable device 100 receives a user operation to turn on the nighttime blood pressure measurement mode, the wearable device 100 may start monitoring sleep events that cause increased blood pressure by default, or the wearable device 100 may start monitoring sleep events that cause decreased blood pressure by default, or the wearable device 100 may start monitoring sleep events that cause increased blood pressure and sleep events that cause decreased blood pressure by default.

[0166] In some embodiments, after the wearable device 100 receives the user's operation to select monitoring of sleep events that cause increased blood pressure, the wearable device 100 may prompt the user to select a specific event of monitoring of sleep events that cause increased blood pressure.

[0167] For example, in response to a user input operation on option 6204 in user interface 620, wearable device 100 may display user interface 630 shown in FIG6D , where user interface 630 includes multiple options, which may include option 6301, option 6302, option 6303, and option 6304. Option 6301 is used by the user to select that the wearable device 100 monitors OSA events that cause elevated blood pressure, option 6302 is used by the user to select that the wearable device 100 monitors REM sleep events that cause elevated blood pressure, option 6303 is used by the user to select that the wearable device 100 monitors central sympathetic nerve activity increased events that cause elevated blood pressure, and option 6304 is used by the user to select that the wearable device 100 monitors OSA events, REM sleep events, and central sympathetic nerve activity increased events that cause elevated blood pressure.

[0168] As shown in Figure 6E, the wearable device 100 can receive the user's input operation (such as a single click) for option 6304. In response to the user's input operation, the wearable device 100 can monitor whether there is an OSA event, REM sleep event, or increased central sympathetic nerve activity event that causes increased blood pressure at night, and start measuring the user's blood pressure after monitoring the occurrence of an OSA event, REM sleep event, or increased central sympathetic nerve activity event that causes increased blood pressure.

[0169] In response to selecting option 6304, the wearable device 100 may change the display form of option 6304, such as deepening the display, etc. Thereafter, the wearable device 100 may receive a user input operation (e.g., a single click) for option 6305 in the user interface 630. In response to the user input operation, the wearable device 100 may begin monitoring OSA events, REM sleep events, or central sympathetic nerve activity increase events that cause elevated blood pressure at night.

[0170] In some embodiments, after the wearable device 100 receives a user operation to select monitoring of sleep events that cause increased blood pressure, the wearable device 100 may not display the user interface shown in Figures 6D-6E. After the wearable device 100 receives a user operation to monitor sleep events that cause increased blood pressure, the wearable device 100 may start monitoring any one or more of OSA events, REM sleep events, and increased central sympathetic nerve activity events that cause increased blood pressure by default. This application does not limit this.

[0171] Method 2: The wearable device 100 receives a user operation to start the nighttime blood pressure measurement mode by establishing a communication connection with the electronic device 200.

[0172] 6F-6L are schematic diagrams showing the electronic device 200 receiving a user operation to start the nighttime blood pressure measurement mode.

[0173] For example, the wearable device 100 may establish a Bluetooth connection with the electronic device 200 .

[0174] Exemplarily, as shown in FIG6F , the electronic device 200 displays a main interface, in which application icons of multiple applications are displayed.

[0175] In some embodiments, the user can enable blood pressure measurement mode in the sports health application of the electronic device 200 .

[0176] Not limited to sports and health applications, users can also enable blood pressure measurement mode in other applications. This application is only illustrated by using sports and health applications as an example, but it should not constitute a limitation.

[0177] For example, users can also enable blood pressure measurement mode in the Smart Life application.

[0178] As shown in Figure 6F, the main interface may include a sports health application icon. In response to an operation on the sports health application icon, the electronic device may open the sports health application.

[0179] As shown in Figure 6G, when the sports health application is open, the electronic device can display the user interface shown in Figure 6G. The user interface shown in Figure 6G may include device options. The device options may be device options corresponding to the wearable device 100. The device options may display the device icon, device name, and connection status of the wearable device 100 and the electronic device 200 of the wearable device 100. The embodiment of the present application does not limit the content displayed on the device options. In response to the operation of the device options, the electronic device may display the user interface 640 shown in Figure 6H. The user interface 640 may be a user interface for managing the wearable device 100 in the sports health application.

[0180] The user interface 640 may include device status, exercise data, and professional exercise modes.

[0181] The device status can be used to indicate the connection status between the wearable device 100 and the electronic device and the battery level of the wearable device 100. For example, when it is detected that the electronic device has established a communication connection with the wearable device 100 via a Bluetooth connection, the device status can indicate that the connection mode is a Bluetooth connection and the connection status is "connected". Furthermore, the electronic device can obtain the battery level information of the wearable device 100. The device status can indicate the current battery level of the wearable device 100, for example, 77%. The content of the device status prompt can also include more, which is not limited in the embodiments of the present application.

[0182] Motion data may include the number of steps, calories burned, and distance traveled recorded by the wearable device 100. Motion data is data recorded by the wearable device 100 for a single day while the wearable device 100 is in operation. This data may include the total number of steps, calories burned, and distance traveled during daily activities such as walking, playing basketball, and running.

[0183] The professional sports mode can be used to start or end the nighttime blood pressure measurement mode and the running mode. The professional sports mode may include an on button for the blood pressure measurement mode and an on button for starting the running mode. In response to a user operation on the on button of the nighttime blood pressure measurement mode, such as a touch operation, the electronic device may send an instruction to start the nighttime blood pressure measurement mode to the wearable device 100 and display a user interface 650 as shown in FIG6I . The electronic device may display an end button for ending the nighttime blood pressure measurement mode. In response to a user operation on the end button of the nighttime blood pressure measurement mode, such as a touch operation, the electronic device 200 may send an instruction to end the nighttime blood pressure measurement mode to the wearable device 100 and display a user interface 640 as shown in FIG6H .

[0184] In some embodiments, after the electronic device 200 turns on the nighttime blood pressure measurement mode, the electronic device 200 may prompt the user to select the type of sleep event to be monitored.

[0185] For example, in response to a user operation on the start button of the nighttime blood pressure measurement mode, the electronic device 200 may display a user interface 660 shown in FIG6J , wherein the user interface 660 includes multiple options, which may include option 6611, option 6612, and option 6613. Option 6611 is used by the user to select that the wearable device 100 monitor sleep events that cause an increase in blood pressure, option 6612 is used by the user to select that the wearable device 100 monitor sleep events that cause a decrease in blood pressure, and option 6613 is used by the user to select that the wearable device 100 monitor both sleep events that cause an increase in blood pressure and sleep events that cause a decrease in blood pressure.

[0186] As shown in FIG6K , the electronic device 200 may receive a user input operation (e.g., a single click) for option 6611. In response to the user's input operation, the electronic device 200 may send an instruction to monitor for sleep events that cause elevated blood pressure to the wearable device 100. The wearable device 100 may monitor for sleep events that cause elevated blood pressure at night, and upon detecting a sleep event that causes elevated blood pressure, begin measuring the user's blood pressure.

[0187] In response to selecting option 6611, the electronic device 200 may change the display form of option 6611, such as darkening the display, etc. Thereafter, the electronic device 200 may receive a user input operation (e.g., a single click) for option 6614 in the user interface 660. In response to the user input operation, the wearable device 100 may begin monitoring sleep events that cause elevated blood pressure at night.

[0188] In other embodiments, the electronic device 200 may not display the user interface shown in Figures 6J-6K. After the electronic device 200 receives the user operation to turn on the nighttime blood pressure measurement mode of the wearable device 100, the wearable device 100 may start monitoring sleep events that cause increased blood pressure by default, or the wearable device 100 may start monitoring sleep events that cause decreased blood pressure by default, or the wearable device 100 may start monitoring sleep events that cause increased blood pressure and sleep events that cause decreased blood pressure by default.

[0189] In some embodiments, after the electronic device 200 receives the user's operation to select monitoring of sleep events that cause increased blood pressure, the electronic device 200 may prompt the user to select a specific event to monitor for sleep events that cause increased blood pressure.

[0190] For example, in response to a user input operation on option 6614 in user interface 660, electronic device 200 may display user interface 6620 shown in FIG6L , where user interface 6620 includes multiple options, which may include option 6621, option 6622, option 6623, and option 6624. Option 6621 is used by the user to select that the wearable device 100 monitors OSA events that cause elevated blood pressure, option 6622 is used by the user to select that the wearable device 100 monitors REM sleep events that cause elevated blood pressure, option 6623 is used by the user to select that the wearable device 100 monitors central sympathetic nerve activity increased events that cause elevated blood pressure, and option 6624 is used by the user to select that the wearable device 100 monitors OSA events, REM sleep events, and central sympathetic nerve activity increased events that cause elevated blood pressure.

[0191] As shown in FIG6M , the electronic device 200 may receive a user input operation (e.g., a single click) for option 6624. In response to the user's input operation, the electronic device 200 may send an instruction to the wearable device 100 to monitor all sleep events that cause elevated blood pressure. The wearable device 100 may monitor whether there are OSA events, REM sleep events, or central sympathetic nerve activity increase events that cause elevated blood pressure at night, and start measuring the user's blood pressure after detecting an OSA event, REM sleep event, or central sympathetic nerve activity increase event that causes elevated blood pressure.

[0192] In response to selecting option 6624, the electronic device 200 may change the display form of option 6624, such as deepening the display, etc. Thereafter, the electronic device 200 may receive a user input operation (e.g., a single click) for option 6625 in the user interface 660. In response to the user input operation, the wearable device 100 may begin monitoring OSA events, REM sleep events, or central sympathetic nerve activity increase events that cause elevated blood pressure at night.

[0193] In some embodiments, after the electronic device 200 receives a user operation to select monitoring of sleep events that cause increased blood pressure, the electronic device 200 may not display the user interface shown in Figures 6L-6M. After the electronic device 200 receives a user operation to monitor sleep events that cause increased blood pressure, the wearable device 100 may start monitoring any one or more of OSA events, REM sleep events, and increased central sympathetic nerve activity events that cause increased blood pressure by default. This application does not limit this.

[0194] Method 3: The wearable device 100 automatically turns on the nighttime blood pressure measurement mode based on the historical blood pressure data within the first period of time.

[0195] 6N-6O are schematic diagrams showing the wearable device 100 automatically turning on the nighttime blood pressure measurement mode.

[0196] Generally speaking, a user's normal blood pressure is between 90mmHg and 120mmHg. If the user's lowest blood pressure is lower than 90mmHg by more than a certain threshold, it indicates that the user's blood pressure is low, possibly hypotension. If the user's lowest blood pressure is higher than 120mmHg by more than a certain threshold, it indicates that the user's blood pressure is high, possibly hypertension.

[0197] Optionally, the normal blood pressure range of users with different physiological characteristics may also be different. This application is only described by taking the normal blood pressure between 90 mmHg and 120 mmHg as an example.

[0198] The wearable device 100 can collect historical blood pressure data of the user within the first period of time to obtain a blood pressure analysis result, such as whether the user's blood pressure is high, low, or normal.

[0199] For example, when the wearable device 100 obtains that the user's blood pressure is high based on historical blood pressure data analysis, the wearable device 100 can automatically monitor sleep events that cause high blood pressure and / or sleep events that cause low blood pressure at night, and start measuring the user's blood pressure after monitoring the occurrence of sleep events that cause high blood pressure and / or sleep events that cause low blood pressure.

[0200] For example, when the wearable device 100 obtains that the user's blood pressure is low based on historical blood pressure data analysis, the wearable device 100 can automatically monitor sleep events that cause lower blood pressure at night, and start measuring the user's blood pressure after detecting a sleep event that causes lower blood pressure.

[0201] The method of enabling the nighttime blood pressure measurement mode of the wearable device 100 is not limited to the above method. The blood pressure measurement mode of the wearable device 100 can also be enabled in other ways, and this application does not limit this.

[0202] In response to turning on the nighttime blood pressure measurement mode, the wearable device 100 can count down 3 seconds after the vibration to turn on the nighttime blood pressure measurement mode. When the nighttime blood pressure measurement mode is turned on, the user can be prompted that the nighttime blood pressure measurement mode has been turned on.

[0203] In some embodiments, after the wearable device 100 activates the nighttime blood pressure measurement mode, the wearable device 100 may display user interface 670 shown in FIG6N . User interface 670 includes the prompt "Nighttime blood pressure measurement mode activated." This prompt informs the user that the wearable device 100 has activated the nighttime blood pressure measurement mode. User interface 670 also includes an option 6701 to exit the nighttime blood pressure measurement mode, which the user can use to deactivate the wearable device 100's nighttime blood pressure measurement mode.

[0204] In some embodiments, after the wearable device 100 turns on the nighttime blood pressure measurement mode, the wearable device 100 can detect whether the motion sensor in the wearable device 100 is turned on to ensure that the wearable device 100 can detect whether the user has entered a sleeping state. When the wearable device 100 detects that the motion sensor in the wearable device 100 is not turned on, the wearable device 100 can display the user interface 680 shown in Figure 6O. The user interface 680 includes a prompt message "Turn on the blood pressure measurement mode requires turning on the motion sensor. Do you agree to turn it on?" The prompt message is used to prompt the user to turn on the motion sensor in the wearable device 100. The user interface 680 also includes a confirmation option and a cancel option. The user can turn on the motion sensor in the wearable device 100 by selecting the confirmation option, and the user can also not turn on the motion sensor in the wearable device 100 by selecting the cancel option.

[0205] For example, as shown in FIG6O , the wearable device 100 may receive a user input operation (eg, a single click) for determining an option in the user interface 680 . In response to the user input operation, the wearable device 100 may turn on a motion sensor in the wearable device 100 .

[0206] In other embodiments, after the wearable device 100 turns on the nighttime blood pressure measurement mode, if the wearable device 100 detects that the motion sensor in the wearable device 100 is turned on, the wearable device 100 may not display the prompt information shown in Figure 6O.

[0207] In some embodiments, the wearable device 100 can count the blood pressure measurement values ​​of the same user over a period of time, analyze the blood pressure measurement values ​​of the user during the period of time, and provide targeted opinions on the blood pressure measurement values ​​of the same user.

[0208] After the wearable device 100 turns on the blood pressure measurement mode, it needs to confirm the user's identity before it begins measuring the user's blood pressure. This allows blood pressure measurements of different users to be stored separately, preventing the blood pressure measurements of different users from being mixed together, which could lead to inaccurate blood pressure measurements of the same user being provided to subsequent wearable devices 100.

[0209] 6P-6V illustrate schematic diagrams of the wearable device 100 confirming the identity of a user.

[0210] Optionally, the wearable device 100 may confirm the user's identity when the user first wears the wearable device 100. The first time a user wears the wearable device 100 may refer to the wearable device 100 being worn again on the user's wrist after being taken off the user's wrist, or being worn again on the user's wrist after a certain period of time.

[0211] For example, after the wearable device 100 turns on the blood pressure measurement mode, the wearable device 100 may display the user interface shown in FIG6P . The user interface shown in FIG6P includes a prompt message “Please select whether you are wearing it yourself”. This prompt message is used to prompt the user to confirm the identity of the user wearing the wearable device 100. The “you” may refer to the owner of the wearable device 100, and the owner of the wearable device 100 is the user who wears the wearable device 100 for a long time. The user interface shown in FIG6P also includes a Yes option and a No option. The Yes option is used to confirm that the wearable device 100 is currently worn by the user. The No option is used to confirm that the wearable device 100 is not currently worn by the user.

[0212] In one possible implementation, the wearable device 100 can receive a user input operation (such as a single click) for an option in the user interface shown in Figure 6P. In response to the user's input operation, the wearable device 100 can display the user interface 690 shown in Figure 6Q. The user interface 690 includes a prompt message "Please verify user identity". The prompt message is used to prompt the user to verify whether the current user is himself to avoid erroneous operations.

[0213] The authentication methods include, but are not limited to, face recognition, fingerprint recognition, voiceprint recognition, etc. Authentication can also be done in other ways, which are not limited in this application.

[0214] When the identity authentication is passed, that is, it is determined that the owner of the wearable device 100 is wearing the device, the wearable device 100 can display the user interface 6110 shown in Figure 6R. The user interface 6110 includes a prompt message "Identity authentication passed, please start measuring blood pressure!", which is used to indicate that the user is the owner of the wearable device 100 wearing the device.

[0215] In other possible implementations, as shown in Figure 6S, the wearable device 100 can receive a user input operation (for example, a single click) for the No option in the user interface shown in Figure 6S. In response to the user's input operation, the wearable device 100 can display the user interface 6120 shown in Figure 6T, where the user interface 6120 includes a selection bar 6121, which is used for the user to select a user name.

[0216] As shown in Figure 6T, the wearable device 100 can receive the user's input operation (e.g., single click) for option 6122 in the selection bar 6121. In response to the user's input operation, the wearable device 100 can display the selection bar 6124 shown in Figure 6U. The selection bar 6124 shows options for multiple detection objects. For example, multiple detection objects include but are not limited to detection object "AAAA", detection object "BBBB", detection object "Lisa", detection object "Lucy", etc. The user can select any detection object and start measuring blood pressure, and the detection data of this time is bound and stored with the currently selected detection object to avoid confusion between blood pressure measurement results of different users.

[0217] Optionally, if the selection bar 6124 does not include an option for the user that currently needs to be detected, the wearable device 100 can receive the user's input operation for the newly added detection object option in the selection bar 6124 and add an option for the user that currently needs to be detected.

[0218] In this way, the test data of different test objects can be stored separately, making it convenient to view the test data of different test objects within a certain period of time in the future.

[0219] For example, as shown in Figure 6U, the wearable device 100 can receive the user's input operation (such as a single click) for the detection object "Lucy" option in the selection bar 6124. In response to the user's input operation, the wearable device 100 can confirm that the current detection object is "Lucy", and the wearable device 100 can display the "Lucy" logo as shown in Figure 6V in the selection bar 6121.

[0220] Afterwards, the wearable device 100 may receive a user input operation (eg, a single click) for the start measurement option 6123 , and may start measuring blood pressure in response to the user's input operation.

[0221] Afterwards, electronic device 200 can bind and store the blood pressure measurement value of test subject "Lucy" with test subject "Lucy". Specifically, electronic device 200 can find the storage area of ​​test subject "Lucy" and store the blood pressure measurement value of test subject "Lucy" in the storage area of ​​test subject "Lucy". It should be noted that the storage areas of different test subjects are different and isolated from each other, which can avoid the confusion of blood pressure measurement results of different users.

[0222] In other embodiments, as shown in Figure 6S, after the wearable device 100 receives the user's input operation (such as a single click) for the no option in the user interface shown in Figure 6S, the wearable device 100 can start measuring the user's blood pressure, but will not store the current user's blood pressure measurement value together with the previous user's blood pressure measurement value, or the wearable device 100 may not store the current user's blood pressure measurement value.

[0223] Obtain the corresponding relationship between the airbag pressure and blood pressure or the corresponding relationship between the PPG signal and blood pressure.

[0224] 1. The correspondence between airbag pressure and blood pressure.

[0225] In some embodiments, the correspondence between the airbag pressure and the blood pressure may refer to a preset target model 1, which represents the correspondence between the airbag pressure and the blood pressure. For example, before the wearable device 100 leaves the factory, the wearable device 100 is pre-configured with the target model 1, or the wearable device 100 can dynamically obtain the target model 1 from the server. The input of the target model 1 can be the airbag pressure applied by the wearable device 100, and the output of the target model 1 can be a set of blood pressure values ​​of the user. In other words, when the airbag pressure applied by the wearable device 100 is input into the target model 1, a set of blood pressure values ​​of the user can be obtained through the target model 1.

[0226] It should be understood that a set of blood pressure values ​​of a user may include the user's systolic pressure and the user's diastolic pressure. For ease of description, this application uses a set of blood pressure values ​​to replace the user's systolic pressure and the user's diastolic pressure.

[0227] In some embodiments, to improve the accuracy of a set of blood pressure values ​​obtained based on the balloon pressure, multiple sets of balloon pressures and corresponding blood pressure values ​​can be used to update target model 1 to obtain target model 2. Because target model 2 is obtained by updating target model 1 based on the user's multiple sets of balloon pressures and blood pressure values, the user's blood pressure values ​​obtained based on balloon pressure using target model 2 are more accurate than those of target model 1.

[0228] In other embodiments, if the wearable device 100 does not obtain target model 1, the wearable device 100 can obtain N sets of airbag pressures and N sets of blood pressure values ​​corresponding to the airbag pressures in real time, and obtain a correspondence between the airbag pressures and the blood pressure based on the N sets of airbag pressures and the blood pressure values ​​corresponding to the airbag pressures. The wearable device 100 can obtain a set of target blood pressure values ​​based on the target airbag pressure and the correspondence between the airbag pressure and the blood pressure. The set of target blood pressure values ​​includes a target systolic pressure and a target diastolic pressure.

[0229] Optionally, in order to update the accuracy of the target model 1, or to obtain the correspondence between the airbag pressure and the blood pressure, before starting to measure the nighttime blood pressure, the wearable device 100 can measure the user's blood pressure value in real time, and obtain multiple sets of airbag pressures and blood pressure values ​​corresponding to the airbag pressures.

[0230] 7A-7D are schematic diagrams showing the wearable device 100 measuring the blood pressure of a user.

[0231] For example, as shown in FIG7A , when the wearable device 100 starts measuring blood pressure, in order to ensure the accuracy of the blood pressure measurement results, the wearable device 100 may display the user interface 710 shown in FIG7A . The user interface 710 displays a prompt message "The blood pressure measurement time has arrived, please remain still, click to start the measurement", which is used to remind the user to remain still during the blood pressure measurement process to avoid inaccurate blood pressure measurement results due to exercise. The user interface 710 also includes a measurement reminder option and a skip option. The user can view the precautions for measuring blood pressure through the measurement reminder option, and the user can also skip the precautions for measuring blood pressure and start measuring blood pressure directly.

[0232] For example, as shown in FIG7A , the wearable device 100 may receive a user input operation (e.g., a click) for the measurement reminder option in the user interface 710. In response to the user input operation, the wearable device 100 may display the user interface 720 shown in FIG7B . The user interface 720 includes a prompt message "When measuring, please pay attention to wearing the watch flush with the heart and do not press the heart." This prompt message is used to remind the user of the correct measurement posture. The user interface 720 includes a timing option 7201, which is used to prompt the user to lift the watch to a position flush with the heart within a preset time.

[0233] After the countdown time displayed by the wearable device 100 reaches 0, the wearable device 100 can start measuring the user's blood pressure.

[0234] Optionally, while wearable device 100 is measuring a user's blood pressure, wearable device 100 may display user interface 730 shown in FIG7C . User interface 730 includes a prompt message "Please remain still during blood pressure measurement" to remind the user to remain still during the measurement to avoid inaccurate blood pressure measurement results due to movement. User interface 730 also includes a cancel measurement option, which allows the user to stop the blood pressure measurement.

[0235] In some embodiments, after the wearable device 100 obtains the blood pressure monitoring value, the wearable device 100 may display the user interface 740 shown in FIG7D . The user interface 740 includes the blood pressure measurement value, which may include a high pressure and a low pressure. For example, the high pressure may be 130 mmHg and the low pressure may be 80 mmHg. In some embodiments, the user interface 740 may also include a pulse rate, for example, a pulse rate of 69 beats per minute.

[0236] In some embodiments, the wearable device 100 may not display the prompt information shown in Figures 7A-7D and directly start measuring the user's blood pressure to avoid frequently disturbing the user. For example, at night, the wearable device 100 may not display the prompt information shown in Figures 7A-7D. The wearable device 100 may not display the prompt information and automatically measure the user's blood pressure to avoid disturbing the user's rest.

[0237] 2. The correspondence between PPG signal and blood pressure.

[0238] In some embodiments, at night, the wearable device 100 measures the user's blood pressure by inflating and deflating the airbag, which may affect the user's rest. To avoid this impact on the user, the wearable device 100 can obtain the user's blood pressure by measuring the PPG signal to reduce the impact on the user's sleep.

[0239] Not limited to PPG signals, the correspondence between other signals and blood pressure can also be obtained to reduce the impact on the user's sleep. This application only uses PPG signals as an example for illustration.

[0240] In some embodiments, the correspondence between the PPG signal and blood pressure may refer to a preset target model 3, which represents the correspondence between the PPG signal and blood pressure. For example, before the wearable device 100 leaves the factory, the wearable device 100 is pre-configured with the target model 3, or the wearable device 100 can dynamically obtain the target model 3 from a server. The input of the target model 3 can be the PPG signal measured by the wearable device 100 through the PPG module, and the output of the target model 3 can be a set of blood pressure values ​​of the user. In other words, when the PPG signal measured by the wearable device 100 is input into the target model 3, a set of blood pressure values ​​of the user can be obtained through the target model 3.

[0241] In some embodiments, to improve the accuracy of a set of blood pressure values ​​obtained based on PPG signals, multiple sets of PPG signals and corresponding blood pressure values ​​can be used to update target model 3 to obtain target model 4. Because target model 4 is obtained by updating target model 3 based on the user's multiple sets of PPG signals and blood pressure values, the user's blood pressure values ​​obtained based on PPG signals using target model 4 are more accurate than those obtained using target model 3.

[0242] In other embodiments, if the wearable device 100 does not obtain target model 3, the wearable device 100 can obtain N sets of PPG signals and N sets of blood pressure values ​​corresponding to the PPG signals in real time, and obtain a correspondence between the PPG signals and the blood pressure values ​​based on the N sets of PPG signals and the blood pressure values ​​corresponding to the PPG signals. The wearable device 100 can obtain a set of target blood pressure values ​​based on the target PPG signals and the correspondence between the PPG signals and the blood pressure. The set of target blood pressure values ​​includes a target systolic pressure and a target diastolic pressure.

[0243] Optionally, in order to update the accuracy of the target model 3, or to obtain the correspondence between the PPG signal and the blood pressure, before starting to measure the nighttime blood pressure, the wearable device 100 can measure the user's blood pressure value corresponding to the PPG signal in real time, and obtain multiple sets of PPG signals and blood pressure values ​​corresponding to the PPG signals.

[0244] Optionally, the wearable device 100 may also prompt the user to measure the PPG signal and blood pressure in the manner shown in FIG. 7A to FIG. 7D to obtain multiple sets of PPG signals and blood pressure values ​​corresponding to the PPG signals. This application will not go into details here.

[0245] The above-mentioned PPG signal can be obtained by the wearable device 100 through a preset PPG module.

[0246] The PPG module in this application may include at least one light source and at least one photodetector. The at least one light source may emit light that is partially absorbed by the human body and partially reflected by the human body. The at least one photodetector may receive the reflected light and generate a PPG signal based on the reflected light.

[0247] 8A-8D show schematic diagrams of the composition structures of several PPG modules.

[0248] Exemplarily, as shown in FIG8A , the PPG module includes a processor, a light source, and a photodetector.

[0249] The number of light sources may be one or more, and the number of photodetectors may be one or more, which is not limited in this application.

[0250] Different lights can be emitted from the same light source, and the emission of different light sources can be achieved through time-division multiplexing.

[0251] The light source may emit red light, infrared light, or other light sources, such as green light or blue light, etc., which is not limited in this application. In some embodiments, the light source may be a light emitting diode (LED) or other light emitting device.

[0252] Different lights can be received by the same photodetector, and receiving different light sources can be achieved through time division multiplexing. In some embodiments, the photodetector can be a receiving device such as a photodiode (PD).

[0253] For example, when the light source emits red light, the photodetector can receive the reflected red light.

[0254] When the light source emits infrared light, the photodetector can receive the reflected infrared light.

[0255] The processor can obtain a PPG signal based on the reflected red light and / or reflected infrared light collected by the photodetector, and obtain health data detection data based on the PPG signal.

[0256] Exemplarily, as shown in FIG8B , the PPG module includes a processor, a light source, a first photodetector, and a second photodetector.

[0257] Among them, the number of light sources can be one or more, the number of first photodetectors can be one or more, and the number of second photodetectors can be one or more, and this application does not limit this.

[0258] Different lights can be emitted from the same light source, and the emission of different light sources can be achieved through time-division multiplexing.

[0259] The light source can emit red light, infrared light, or other light sources. In some embodiments, the light source can be a light emitting device such as a light emitting diode.

[0260] Different lights need to be received by different photodetectors. In some embodiments, the photodetector can be a receiving device such as a photodiode (PD).

[0261] For example, when the light source emits red light, the first photodetector can receive reflected red light.

[0262] When the light source emits infrared light, the second photodetector can receive reflected infrared light.

[0263] The processor may obtain a PPG signal based on the reflected red light collected by the first photodetector and / or the reflected infrared light collected by the second photodetector.

[0264] Exemplarily, as shown in FIG8C , the PPG module includes a processor, a red light source, an infrared light source, and a photodetector.

[0265] Different lights need to be emitted by different light sources.

[0266] The red light source can emit red light, and the number of the red light source can be one or more. In some embodiments, the infrared light source can be a light emitting device such as a light emitting diode.

[0267] The infrared light source can emit infrared light, and the number of the infrared light source can be one or more. In some embodiments, the infrared light source can be a light emitting device such as a light emitting diode.

[0268] Different lights can be received by the same photodetector. In some embodiments, the photodetector can be a receiving device such as a photodiode (PD).

[0269] For example, when the red light emitting source emits red light, the photodetector can receive the reflected red light.

[0270] When the infrared light source emits infrared light, the photodetector can receive the reflected infrared light.

[0271] The processor may obtain a PPG signal based on the reflected red light and / or the reflected infrared light collected by the photodetector.

[0272] Exemplarily, as shown in FIG8D , the PPG module includes a processor, a red light source, an infrared light source, a first photodetector, and a second photodetector.

[0273] Different lights need to be emitted by different light sources.

[0274] The red light source can emit red light, and the number of the red light source can be one or more. In some embodiments, the infrared light source can be a light emitting device such as a light emitting diode.

[0275] The infrared light source can emit infrared light, and the number of the infrared light source can be one or more. In some embodiments, the infrared light source can be a light emitting device such as a light emitting diode.

[0276] Different lights can be received by the same photodetector, and receiving different light sources can be achieved through time division multiplexing. In some embodiments, the photodetector can be a receiving device such as a photodiode (PD).

[0277] For example, when the red light emitting source emits red light, the first photodetector may receive reflected red light.

[0278] When the infrared light source emits infrared light, the second photodetector can receive reflected infrared light.

[0279] The processor may obtain a PPG signal based on the reflected red light collected by the first photodetector and / or the reflected infrared light collected by the second photodetector.

[0280] The above-mentioned Figures 8A-8D show schematic structural diagrams of several PPG modules. The above-mentioned Figures 8A-8D are only used to explain the present application and should not constitute a limitation.

[0281] 3. The wearable device 100 monitors sleep events and measures blood pressure based on the monitored abnormal sleep events.

[0282] 1. The wearable device 100 detects that the user is in a sleeping state.

[0283] In some embodiments, the wearable device 100 monitors the sleep event only after the wearable device 100 detects that the user is in a sleep state. When the wearable device 100 detects that the user is not in a sleep state, the wearable device 100 may not monitor the sleep event to save power consumption of the wearable device 100.

[0284] In other embodiments, the wearable device 100 may also monitor regular sleep events in real time / periodically / irregularly, and this application does not limit this.

[0285] Optionally, the wearable device 100 can determine whether the user is in a sleeping state based on motion data collected by a preset motion sensor.

[0286] The motion sensor may include, but is not limited to, an acceleration sensor, a gyroscope sensor, etc. The motion sensor may collect motion data or motion trajectory. The wearable device 100 may determine whether the user is in a sleep state based on the motion data or motion trajectory.

[0287] Generally, the user is in a sleeping state and has almost no activity, limited to a small amount of movement such as turning over. The motion data collected by the motion sensor is relatively small, or the motion trajectory of the wearable device 100 collected by the motion sensor is consistent with the motion trajectory of the wrist during sleep. The wearable device 100 can determine whether the user is in a sleeping state based on this.

[0288] Optionally, the wearable device 100 may also determine whether the user is in a sleeping state based on information such as heart rate collected by the PPG sensor.

[0289] Generally, when a user is in a sleeping state, the user has almost no activity, the user's heart rate is relatively stable, and the user's heart rate when in a sleeping state is lower than the user's heart rate when in an awake state. The wearable device 100 can determine whether the user is in a sleeping state based on this.

[0290] It is not limited to the heart rate and other information collected by the PPG module to determine whether the user is in a sleep state. It can also be determined based on the heart rate and other information collected by other devices. This application does not limit this.

[0291] Optionally, the wearable device 100 may also determine whether the user is in a sleeping state based on time.

[0292] Generally, the user is in a sleeping state between 12:00 at night and 6:00 in the morning. The wearable device 100 can determine whether the user is in a sleeping state based on this time period.

[0293] In some embodiments, the PPG module can also be replaced by other devices. This application only uses the PPG module as an example for illustration and does not limit this.

[0294] In some embodiments, the motion sensor may be replaced by other devices. This application only uses the motion sensor as an example for illustration and does not limit this.

[0295] In some embodiments, the wearable device is not limited to using a PPG module and motion sensor. A microphone can also be used to collect ambient sound and human speech to determine whether the user is asleep. Generally, after falling asleep, the surrounding environment is relatively quiet, and the user rarely speaks. When the intensity of the ambient sound is less than a preset level and / or the intensity of human speech is less than a preset level, the user can be determined to be asleep.

[0296] In some embodiments, the wearable device can also determine whether the user is asleep by using the ambient brightness detected by the optical sensor. Generally, the ambient light in which the user sleeps is dim. When the ambient brightness detected by the optical sensor is less than a preset brightness, it can be determined that the user is asleep.

[0297] In some embodiments, the wearable device can also determine whether the user is asleep by using signals such as EMG, EEG, and GSR skin electrodermal signals collected by electrodes. When the EMG, EEG, or GSR skin electrodermal signals meet preset conditions, it can be determined that the user is asleep.

[0298] The wearable device 100 may also determine whether the user is in a sleeping state in combination with one or more other conditions, and this application does not limit this.

[0299] The above one or more methods of determining whether the user has fallen asleep can be used alone to determine whether the user has fallen asleep, or two or more methods can be used in combination to determine whether the user has fallen asleep. This application does not limit this.

[0300] 2. The wearable device 100 detects a sleep event and measures the user's blood pressure.

[0301] After determining that the user is in a sleeping state, and after the wearable device 100 detects a sleeping event, the wearable device 100 can measure the user's blood pressure.

[0302] Optionally, the wearable device 100 may stop measuring blood pressure after measuring a single blood pressure measurement. The wearable device 100 may also stop measuring blood pressure after measuring blood pressure multiple times based on the blood pressure results.

[0303] Optionally, after determining that the user is in a sleeping state, and after the wearable device 100 monitors that the number of occurrences of sleep events is greater than a preset number, the wearable device 100 starts measuring the user's blood pressure again.

[0304] In some embodiments, after determining that the user is in a sleeping state, the wearable device 100 may measure the user's blood pressure after detecting an abnormal event that causes elevated blood pressure. The abnormal event that causes elevated blood pressure may include, but is not limited to, an OSA event, a REM sleep event, and an event of increased central sympathetic nervous system activity.

[0305] Optionally, for an OSA event, the wearable device 100 may determine that an OSA event has occurred based on one or more of the PPG signal collected by the PPG module and the user's personal data. Based on the PPG signal and the user's personal data, if the PPG signal meets a preset condition, the wearable device 100 may determine that an OSA event has occurred. The PPG signal may include, but is not limited to, heart rate, blood oxygen level, and respiratory rate. The user's personal data may include, but is not limited to, height, weight, age, and gender.

[0306] In some embodiments, the wearable device 100 determines that the user frequently experiences OSA events at night based on a period of time in the past. After the wearable device 100 detects that the number of sleep events is greater than a preset number, the wearable device 100 can determine that the user frequently experiences OSA events. The wearable device 100 may not measure the user's blood pressure to avoid affecting the user's rest.

[0307] Optionally, for REM sleep events, the wearable device 100 may determine that a REM sleep event has occurred based on one or more of the PPG signal collected by the PPG module and the user's personal data. Based on the PPG signal and the user's personal data, if the PPG signal meets a preset condition, the wearable device 100 may determine that a REM sleep event has occurred. The PPG signal may include, but is not limited to, heart rate and respiratory rate. The user's personal data may include, but is not limited to, height, weight, age, and gender.

[0308] Optionally, for an event of increased central sympathetic nervous system activity, the wearable device 100 may determine, based on one or more of the PPG signal collected by the PPG module and the user's personal data, that a PPG signal meets a preset condition. The wearable device 100 may determine that an event of increased central sympathetic nervous system activity has occurred. The PPG signal may include, but is not limited to, heart rate, blood oxygen, and respiratory rate. The user's personal data may include, but is not limited to, height, weight, age, and gender.

[0309] Specifically, the wearable device 100 can determine the number of nighttime awakenings, the duration of NREM sleep events, and the latency of REM sleep events based on the PPG signal and the user's personal data. If the user's awakening times are greater than a preset number, the duration of NREM sleep events is less than a first value, and the latency of REM sleep events is less than a second value, the wearable device 100 can determine that an event of increased central sympathetic nervous system activity has occurred.

[0310] In some embodiments, after determining that the user is in a sleeping state, the wearable device 100 may measure the user's blood pressure after detecting an abnormal event that causes a decrease in blood pressure. The abnormal event that causes a decrease in blood pressure may include, but is not limited to, NREM sleep events.

[0311] Optionally, for NREM sleep events, the wearable device 100 may determine that a REM sleep event has occurred based on one or more of the PPG signal collected by the PPG module and the user's personal data. Based on the PPG signal and the user's personal data, if the PPG signal meets a preset condition, the wearable device 100 may determine that a REM sleep event has occurred. The PPG signal may include, but is not limited to, heart rate and respiratory rate. The user's personal data may include, but is not limited to, height, weight, age, and gender.

[0312] Optionally, NREM sleep events may cause a decrease in blood pressure in hypertensive users, and a decrease in blood pressure may cause myocardial ischemia. When myocardial ischemia occurs, the user's heart rate is generally lower than a preset heart rate (e.g., 83 beats / minute). Therefore, after determining that the user is in a sleeping state, the wearable device 100 can measure the user's blood pressure again when a NREM sleep event is detected and the heart rate is lower than a preset heart rate (e.g., 83 beats / minute). When the heart rate is higher than the preset heart rate, the wearable device 100 may not measure the user's blood pressure to avoid affecting the user's rest.

[0313] In some embodiments, after determining that the user is in a sleeping state, the wearable device 100 may measure the user's blood pressure after simultaneously monitoring abnormal events that cause an increase in blood pressure and abnormal events that cause a decrease in blood pressure. Abnormal events that cause an increase in blood pressure may include, but are not limited to, OSA events, REM sleep events, and events of increased central sympathetic nervous system activity. Abnormal events that cause a decrease in blood pressure may include, but are not limited to, NREM sleep events.

[0314] The determination of OSA events, REM events, NREM sleep events, and increased central sympathetic nerve activity events is not limited to the PPG signals collected by the PPG module. OSA events, REM events, NREM sleep events, and increased central sympathetic nerve activity events can also be determined based on signals collected by other devices. For example, OSA events, REM events, NREM sleep events, and increased central sympathetic nerve activity events can be determined through information such as EMG electromyography, EEG electroencephalography, and GSR electrocutaneous signals collected by electrodes. This application does not limit this. This application does not limit this.

[0315] In some embodiments, the wearable device 100 measures blood pressure in a complete inflation-deflation process, which may refer to the wearable device 100 inflating the airbag so that the air pressure value in the airbag reaches a first air pressure value, and then slowly deflates the airbag so that the pressure value in the airbag gradually decreases from the first air pressure value to 0, and the user's blood pressure is measured during the deflation process. Or it may refer to the wearable device 100 inflating the airbag so that the air pressure value in the airbag gradually reaches the first air pressure value from 0, and the user's blood pressure is measured during the inflation process. However, during the inflation-deflation process of the wearable device 100, the user will clearly feel the pressure on the wrist, which may affect the user's sleep. Based on the above analysis, the wearable device 100 can obtain the corresponding relationship between the airbag pressure and blood pressure. When the wearable device 100 measures the user's blood pressure by inflating and deflating the airbag, it is not necessary to inflate the air pressure value in the airbag to the first air pressure value. The wearable device 100 only needs to inflate the air pressure value in the airbag to the second air pressure value, and the second air pressure value is less than the first air pressure value or the second air pressure value is much less than the first air pressure value. The wearable device 100 can obtain the real-time blood pressure value based on the corresponding relationship between the second air pressure value and the airbag pressure and the blood pressure. When the air pressure value in the airbag is inflated to the second air pressure value, compared with the air pressure value inflated to the first air pressure value, the user can reduce the interference of the airbag inflation-deflation process, reduce the user's perception, and improve the user experience.

[0316] In other possible implementations, the wearable device 100 can also determine the user's blood pressure by measuring PPG signals. Based on the above analysis, the wearable device 100 can obtain the corresponding relationship between the PPG signal and blood pressure. The wearable device 100 can measure a real-time PPG signal through the PPG module. Based on the real-time PPG signal and the corresponding relationship between the PPG signal and blood pressure, the wearable device 100 can obtain the real-time blood pressure value. In this way, the user's blood pressure can be obtained by measuring the PPG signal without the user being aware of it, which improves the user experience.

[0317] 3. After the wearable device 100 detects abnormal blood pressure, it can alert the user to pay attention to the abnormal blood pressure by means of an alarm.

[0318] Generally, the user's diastolic and systolic blood pressures are within a normal range. For example, a normal diastolic blood pressure ranges from 60 mmHg to 90 mmHg, and a normal systolic blood pressure ranges from 90 mmHg to 140 mmHg.

[0319] Abnormal blood pressure can include abnormal diastolic pressure and abnormal systolic pressure.

[0320] Abnormal diastolic pressure may refer to the real-time diastolic pressure measured by the wearable device 100 being greater than the maximum value of the normal diastolic pressure and exceeding the first threshold, or the real-time diastolic pressure measured by the wearable device 100 being less than the minimum value of the normal diastolic pressure and lower than the first threshold.

[0321] Abnormal systolic pressure may refer to the real-time systolic pressure measured by the wearable device 100 being less than the minimum value of normal diastolic pressure and below the second threshold. Alternatively, the real-time systolic pressure measured by the wearable device 100 may be greater than the maximum value of normal systolic pressure and exceed the second threshold.

[0322] In one possible implementation, after the wearable device 100 monitors abnormal blood pressure, or monitors abnormal blood pressure for a first consecutive period of time, or monitors abnormal blood pressure M times in a row, the wearable device 100 can wake up the user through one or more methods such as vibration, voice prompts, and flashing lights to remind the user to pay attention to the abnormal blood pressure.

[0323] In other possible implementations, after the wearable device 100 monitors abnormal blood pressure, or monitors abnormal blood pressure for a first consecutive period of time, or monitors abnormal blood pressure M times in a row, the wearable device 100 can wake up the user through one or more methods such as vibration, voice prompts, flashing lights, etc., through an electronic device with which it has established a communication connection, to remind the user to pay attention to the abnormal blood pressure.

[0324] In other possible implementations, after the wearable device 100 monitors abnormal blood pressure, or monitors abnormal blood pressure for a first consecutive period of time, or monitors abnormal blood pressure M times consecutively, the wearable device 100 can send a first message to the device of a previously bound relative (for example, the electronic device 200). The first message is used by the electronic device 200 to remind the user that the user wearing the wearable device 100 currently has abnormal blood pressure, and please pay attention to the blood pressure of the user wearing the wearable device 100.

[0325] 4. The wearable device 100 stops measuring the user's blood pressure.

[0326] The wearable device 100 may receive a user operation to stop measuring the user's blood pressure, or the wearable device 100 may automatically stop measuring the user's blood pressure.

[0327] In some embodiments, after detecting a sleep event, the wearable device 100 may continuously monitor the user's blood pressure until the sleep event disappears and the wearable device 100 stops measuring the user's blood pressure.

[0328] In other embodiments, after a sleep event is detected, the wearable device 100 measures the user's blood pressure each time the sleep event occurs until the number of sleep events reaches a maximum value, at which point the wearable device 100 stops measuring the user's blood pressure.

[0329] In other embodiments, after detecting a sleep event, the wearable device 100 may continuously monitor the user's blood pressure for a first period of time. After exceeding the first period of time, the wearable device 100 stops measuring the user's blood pressure regardless of whether the sleep event disappears.

[0330] In some embodiments, after detecting a sleep event, the wearable device 100 may continuously monitor the user's blood pressure until the user's blood pressure returns to normal, and the wearable device 100 stops measuring the user's blood pressure.

[0331] Optionally, after the user's blood pressure returns to normal, sleep events may continue to occur or may stop occurring, and this application does not limit this.

[0332] The wearable device 100 may also automatically stop measuring the user's blood pressure based on other conditions, which is not limited in this application.

[0333] 5. The wearable device 100 displays the blood pressure measurement result.

[0334] In some embodiments, after the wearable device 100 detects that the user has transitioned from a sleeping state to an awake state, the wearable device 100 can display the nighttime blood pressure measurement results to facilitate the user to check the nighttime blood pressure.

[0335] Optionally, the wearable device 100 can automatically display the nighttime blood pressure measurement results after determining that the user has transitioned from a sleeping state to an awake state. The wearable device 100 can also receive user operations to display the nighttime blood pressure measurement results. This application does not limit this.

[0336] Optionally, the wearable device 100 can determine whether the user is awake based on motion data collected by a preset motion sensor.

[0337] The motion sensor may include, but is not limited to, an acceleration sensor, a gyroscope sensor, etc. The motion sensor may collect motion data or motion trajectory. The wearable device 100 may determine whether the user is awake based on the motion data or motion trajectory.

[0338] Generally, the user is in an awake state and has a large range of activities, such as walking. The motion sensor collects more motion data, or the motion trajectory of the wearable device 100 collected by the motion sensor matches the motion trajectory of the wrist when in the awake state. The wearable device 100 can determine whether the user is in an awake state based on this.

[0339] Optionally, the wearable device 100 may also determine whether the user is awake based on information such as heart rate collected by the PPG sensor.

[0340] Generally, when a user is awake, the user's activities are large, and the user's heart rate is higher and fluctuates more when the user is asleep than when the user is asleep. The wearable device 100 can determine whether the user is awake based on this.

[0341] Optionally, the wearable device 100 may also determine whether the user is awake based on time.

[0342] Generally, around 6:00 in the morning, the user is awake, and the wearable device 100 can determine whether the user is awake based on this time period.

[0343] The wearable device 100 may also determine whether the user is awake by combining one or more other conditions, and this application does not limit this.

[0344] 9A-9I are schematic diagrams showing the wearable device 100 displaying blood pressure measurement results.

[0345] In some embodiments, after the wearable device 100 obtains the nighttime blood pressure, after the wearable device 100 obtains the blood pressure monitoring value, the wearable device 100 may display the user interface 910 shown in FIG9A , wherein the user interface 910 includes the blood pressure measurement value, and the blood pressure measurement value may include high pressure and low pressure. For example, the high pressure may be 130 mmHg and the low pressure may be 80 mmHg. In some embodiments, the user interface 910 may further include a pulse, for example, a pulse may be 69 beats per minute. Among them, the high pressure displayed in the user interface 910 may be the average systolic blood pressure at night, and the low pressure displayed in the user interface 910 may be the average diastolic blood pressure at night.

[0346] In other embodiments, after the wearable device 100 obtains the nighttime blood pressure, the wearable device 100 may send the nighttime blood pressure to other electronic devices with which a communication connection is established, and the other electronic devices may display the nighttime blood pressure.

[0347] In some embodiments, after the wearable device 100 obtains the nighttime blood pressure, the wearable device 100 may display user interface 920 shown in FIG9B . User interface 920 is similar to user interface 910 , except that user interface 920 includes the nickname of the subject, such as "Lucy's Nighttime Blood Pressure," to remind the user of the user associated with the current nighttime blood pressure monitoring value. The wearable device 100 may also store blood pressure monitoring values ​​of different users separately, making it easier to view the nighttime blood pressure of the same user within a certain time period.

[0348] In some embodiments, the wearable device 100 can display the nighttime blood pressure corresponding to the sleep event, so that the user can view the nighttime blood pressure corresponding to different sleep events.

[0349] For example, as shown in FIG9C , wearable device 100 may display user interface 930. User interface 930 is similar to user interface 910, except that user interface 930 includes a sleep event identifier, such as an "OSA event" identifier, to prompt the user of a sleep event associated with the current nighttime blood pressure. When the OSA event shown in user interface 930 occurs, the average high blood pressure measured by wearable device 100 is 130 mmHg, the average low blood pressure measured by wearable device 100 is 80 mmHg, and the pulse measured by wearable device 100 is 69 beats per minute.

[0350] Optionally, after the wearable device 100 determines that the user has transitioned from a sleeping state to an awake state, if an OSA event was detected during the previous night, the OSA event may cause an increase in daytime blood pressure. The wearable device 100 may continuously monitor the user's blood pressure during the day and the user's nighttime blood pressure during the next adjacent night. Optionally, the wearable device 100 may also prompt the user that an OSA event was detected during the previous night and ask the user to continuously monitor the user's blood pressure during the day and the user's nighttime blood pressure during the next adjacent night.

[0351] Optionally, the wearable device 100 may also receive the nighttime blood pressure corresponding to other sleep events viewed by the user.

[0352] For example, as shown in FIG9D , the wearable device 100 may receive a user sliding operation (e.g., a right sliding operation) on the user interface 930. In response to the user's sliding operation, the wearable device 100 may display the user interface 940 shown in FIG9E . The user interface 940 is similar to the user interface 910, except that the user interface 940 includes a sleep event identifier, such as a "NREM sleep event" identifier, to prompt the user of the sleep event associated with the current nocturnal blood pressure. When the NREM sleep event shown in the user interface 940 occurs, the average high blood pressure measured by the wearable device 100 is 112 mmHg, the average low blood pressure measured by the wearable device 100 is 75 mmHg, and the pulse measured by the wearable device 100 is 86 beats per minute.

[0353] The user is not limited to viewing the nighttime blood pressure corresponding to OSA events and the nighttime blood pressure corresponding to NREM sleep events. The user can also switch to view the nighttime blood pressure corresponding to other sleep events, such as the nighttime blood pressure corresponding to REM sleep events and the nighttime blood pressure corresponding to increased central sympathetic nervous system activity events, etc. This application does not limit this.

[0354] In some embodiments, the wearable device 100 may store nighttime blood pressure data within a first time period (e.g., seven days) and delete nighttime blood pressure data beyond the first time period to save storage space of the wearable device 100.

[0355] Optionally, the wearable device 100 may also receive a user operation to view the user's nighttime blood pressure during the first time period.

[0356] Exemplarily, the first time period may be seven days.

[0357] As shown in FIG9F , after the wearable device 100 receives the blood pressure monitoring value, the wearable device 100 may display a user interface 950 shown in FIG9F . The user interface 950 is similar to the user interface 910 . The difference is that the user interface 950 also includes an icon 9501 , which is used to display the nighttime blood pressure within seven days.

[0358] The wearable device 100 can receive the user's input operation (such as a single click) on the icon 9501 in the user interface 950. In response to the user's input operation, the wearable device 100 can obtain the blood pressure monitoring value of the user within a certain time period and display the user interface 960 shown in Figure 9G.

[0359] User interface 960 includes a graphical display area for nighttime blood pressure over a seven-day period. The graphical display area includes a curve showing the high blood pressure monitoring values ​​and a curve showing the low blood pressure monitoring values ​​over a seven-day period. This graphical display area allows users to intuitively view the changing trends of their nighttime blood pressure over the seven-day period.

[0360] Not limited to seven days, the wearable device 100 can also display nighttime blood pressure in other longer or shorter time periods, and this application does not limit this.

[0361] In some embodiments, the wearable device 100 may also receive a user operation to view the nighttime blood pressure of different users during the first time period.

[0362] 9F , after the wearable device 100 receives the blood pressure monitoring value, the wearable device 100 may display a user interface 950 as shown in FIG. 9F .

[0363] The wearable device 100 can receive a user input operation for the icon 9501 in the user interface 950. In response to the user input operation, the wearable device 100 can display the selection bar 9502 shown in Figure 9H. The selection bar 9502 shows options for multiple different detection objects. For example, the multiple detection objects include but are not limited to the detection object "AAAA", the detection object "BBBB", the detection object "Lisa", the detection object "Lucy", etc. The user can select any detection object and start viewing the nighttime blood pressure of the detection object during the first time period.

[0364] As shown in FIG9H , the wearable device 100 can receive a user input operation (e.g., a single click) for the detection subject "Lucy" option in the selection bar 9502. In response to the user's input operation, the wearable device 100 can obtain the blood pressure monitoring value of the detection subject "Lucy" within the first time period and display the user interface 970 shown in FIG9I . The user interface 970 is similar to the user interface 960, except that the user interface 970 includes a prompt message "Lucy's nighttime blood pressure within 7 days" to indicate that the high pressure monitoring value curve and the low pressure monitoring value curve shown in the user interface 970 are the nighttime blood pressure of the detection subject "Lucy" within 7 days.

[0365] Through this method, the wearable device 100 can not only display the nighttime blood pressure of the user in the first time period, but also display the nighttime blood pressure of other users in the first time period.

[0366] In some embodiments, the nighttime blood pressure of different users in the first time period stored on the wearable device 100 may be the nighttime blood pressure of different users in the first time period collected by the wearable device 100 and sent to the wearable device 100 and stored on the wearable device 100.

[0367] In other embodiments, the nighttime blood pressures of different users stored on the wearable device 100 during the first time period may be sent to the wearable device 100 by other electronic devices periodically / irregularly / at regular intervals. After the user authorizes the user of the other electronic devices, the other electronic devices may periodically / irregularly / at regular intervals send the stored nighttime blood pressures of the users to the wearable device 100, so that the wearable device 100 can store the nighttime blood pressures of different users during the first time period, making it convenient for the user using the wearable device 100 to view the nighttime blood pressures of other authorized users during the first time period. For example, the other authorized users may be family members of the user using the wearable device 100, such as the parent or child of the user using the wearable device 100. Then, after the wearable device 100 obtains the nighttime blood pressure of the parent or child during the first time period, the user using the wearable device 100 can view the nighttime blood pressures of other authorized users during the first time period, thereby facilitating the monitoring of the nighttime blood pressures of family members.

[0368] In some embodiments, the user may also record the time and type of medication taken in the wearable device 100. The wearable device 100 may prompt the user to take the medication in a timely manner based on the medication time. Optionally, if the wearable device 100 detects that the user takes medication before going to bed, such as taking antihypertensive drugs, the wearable device 100 may automatically start measuring the user's nighttime blood pressure to observe the impact of the antihypertensive drugs on the user's nighttime blood pressure. The wearable device 100 may also prompt the user to start measuring the user's nighttime blood pressure. After the user agrees, the wearable device 100 may monitor the user's nighttime blood pressure to observe the impact of the antihypertensive drugs on the user's nighttime blood pressure.

[0369] In some embodiments, the wearable device 100 can also measure the user's daytime blood pressure. After detecting that the user's daytime blood pressure is abnormal, the wearable device 100 prompts the user to record the user's recent activity events.

[0370] Among them, abnormal daytime blood pressure can include abnormally high daytime blood pressure and abnormally low daytime blood pressure.

[0371] 10A-10E are schematic diagrams showing the wearable device 100 prompting the user to record recently performed activity events after detecting abnormally high daytime blood pressure.

[0372] In some embodiments, the wearable device 100 may determine that the daytime blood pressure is abnormally high based on the previous M blood pressure detection values.

[0373] In other embodiments, the wearable device 100 may determine that the daytime blood pressure is abnormally high based on the average value of the blood pressure detection values ​​within the day.

[0374] In other embodiments, the wearable device 100 may determine that the daytime blood pressure is abnormally high based on an average of the blood pressure detection values ​​in the previous N days.

[0375] For example, as shown in FIG10A , the wearable device 100 displays a user interface 1010 showing blood pressure measurements, which may include high and low blood pressure. For example, the high blood pressure may be 142 mmHg, the low blood pressure may be 88 mmHg, and the pulse rate may be 76 beats per minute. User interface 1010 also includes a record activity option, which allows the user to record recently performed activity events.

[0376] Optionally, the wearable device 100 may display the record activity option in the user interface 1010 when it is identified that the high pressure in the blood pressure detection value is abnormally high, and may not display the record activity option in the user interface 1010 when it is identified that the high pressure in the blood pressure detection value is within a normal range. The wearable device 100 may also continuously display the record activity option in the user interface 1010, and this application is not limited to this.

[0377] For example, as shown in FIG10A , the wearable device 100 may receive a user input operation (e.g., a single click) for the activity recording option in the user interface 1010. In response to the user input operation, the wearable device 100 may display the user interface 1020 shown in FIG10B . The user interface 1020 displays a plurality of different activity events, such as a meal event, a housework event, a sports event, an emotional fluctuation event, etc. The user may also slide the user interface 1020 to view other activity events that are not displayed.

[0378] For example, as shown in FIG10B , the wearable device 100 may receive a sliding operation (e.g., an upward sliding operation) performed by the user on the user interface 1020. In response to the user's sliding operation, the wearable device 100 may display the user interface 1030 shown in FIG10C . Other activity events are shown in the user interface 1030, such as a drinking event, a tea drinking event, an ambient temperature drop event, and other events.

[0379] The user may select one or more activity events that cause abnormally high blood pressure of the user in user interface 1020 and / or user interface 1030 .

[0380] For example, as shown in FIG10D , the wearable device 100 may receive a user input operation (e.g., a single click) for the emotion fluctuation event option in the user interface 1020. In response to the user input operation, the wearable device 100 may display the user interface 1040 shown in FIG10E . The user interface 1040 includes a prompt message, "When emotions fluctuate dramatically (e.g., anger, fear, etc.), blood pressure may change accordingly. It is recommended that you appropriately control your emotions and relax." This prompt message is used to remind the user that dramatic emotional fluctuations can cause blood pressure to rise, and to avoid emotional fluctuations to keep blood pressure within a normal range.

[0381] 11A-11E are schematic diagrams showing the wearable device 100 prompting the user to record recently performed activity events after detecting abnormally low daytime blood pressure.

[0382] In some embodiments, the wearable device 100 may determine that the daytime blood pressure is abnormally low based on the previous M blood pressure detection values.

[0383] In other embodiments, the wearable device 100 may determine that the daytime blood pressure is abnormally low based on an average value of the blood pressure detection values ​​within the day.

[0384] In other embodiments, the wearable device 100 may determine that the daytime blood pressure is abnormally low based on an average of the blood pressure detection values ​​in the previous N days.

[0385] For example, as shown in FIG11A , the wearable device 100 displays a user interface 1110 showing blood pressure measurements, which may include high and low blood pressure. For example, the high blood pressure may be 122 mmHg, the low blood pressure may be 72 mmHg, and the pulse rate may be 76 beats per minute. User interface 1110 also includes a record activity option, which allows the user to record recently performed activity events.

[0386] Optionally, the wearable device 100 may display the record activity option in the user interface 1110 when it is recognized that the low pressure in the blood pressure detection value is abnormally low, and may not display the record activity option in the user interface 1110 when it is recognized that the low pressure in the blood pressure detection value is within a normal range. The wearable device 100 may also continuously display the record activity option in the user interface 1110, and this application is not limited to this.

[0387] For example, as shown in FIG11A , the wearable device 100 may receive a user input operation (e.g., a single click) for the activity recording option in the user interface 1110. In response to the user input operation, the wearable device 100 may display the user interface 1120 shown in FIG11B . The user interface 1120 displays a plurality of different activity events, such as a medication event, a sleep event, a quiet rest event, and an emotion calming event. The user may also slide the user interface 1120 to view other, undisplayed activity events.

[0388] For example, as shown in FIG11B , the wearable device 100 may receive a sliding operation (e.g., an upward sliding operation) performed by the user on the user interface 1120. In response to the user's sliding operation, the wearable device 100 may display the user interface 1130 shown in FIG11C , in which other activity events are shown, such as an ambient temperature rising event and other events.

[0389] The user may select one or more activity events that cause abnormally low blood pressure of the user in user interface 1120 and / or user interface 1130 .

[0390] For example, as shown in FIG11D , the wearable device 100 may receive a user input operation (e.g., a single click) for the calming emotion event option in the user interface 1120. In response to the user input operation, the wearable device 100 may display the user interface 1140 shown in FIG11E . The user interface 1140 includes a prompt message, "Physical relaxation and emotional comfort contribute to maintaining physical health. Emotions such as anger and tension may cause blood pressure to rise." This prompt message is used to remind the user that calming emotions can prevent blood pressure fluctuations.

[0391] The above are only some of the embodiments and implementations of this application. The scope of protection of this application is not limited thereto. Any changes or substitutions that can be easily conceived by a person skilled in the art within the technical scope disclosed in this application should be included in the scope of protection of this application. Therefore, the scope of protection of this application should be based on the scope of protection of the claims.

[0392] It is understood that the various user interfaces described in the embodiments of this application are merely exemplary interfaces and do not limit the scope of this application. In other embodiments, the user interface may adopt a different interface layout, include more or fewer controls, and add or remove other functional options. As long as they are based on the same inventive concept provided by this application, they are all within the scope of protection of this application.

[0393] It should be noted that, without causing any contradiction or conflict, any feature in any embodiment of the present application, or any part of any feature, can be combined, and the combined technical solution is also within the scope of the embodiments of the present application.

[0394] As described above, the above embodiments are only used to illustrate the technical solutions of the present application, rather than to limit them. Although the present application has been described in detail with reference to the above embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the above embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of the present application.

Claims

1. A blood pressure detection method, characterized in that: The method is applied to a wearable device, wherein the wearable device includes a motion sensor and a photoplethysmography (PPG) module, and the method includes: The wearable device obtains the motion data collected by the motion sensor and the first PPG signal collected by the PPG module; When the motion data and / or the first PPG signal meets a first condition, the wearable device determines whether the user is in a sleeping state; When it is determined that the user is in a first sleep event, the wearable device measures the user's blood pressure to obtain a first blood pressure value; The first sleep event includes any one or more of the following: an OSA event, a REM event, a NREM sleep event, and an event of increased central sympathetic nerve activity.

2. The method according to claim 1, characterized in that The OSA event, the REM event, and the central sympathetic nerve activity increase event are sleep events that cause the user's blood pressure to increase; when the first sleep event includes any one or more of the OSA event, the REM event, and the central sympathetic nerve activity increase event, before the wearable device acquires the motion data collected by the motion sensor and the first PPG signal collected by the PPG module, the method further includes: The wearable device receives a first user operation, where the first user operation is used to instruct the wearable device to measure the user's blood pressure when the first sleep event is detected; When the user is in a sleeping state and it is determined based on the first PPG signal that the user is in a first sleeping event, the wearable device measures the user's blood pressure to obtain a first blood pressure value, specifically including: In response to the first operation, when the user is in a sleeping state and it is determined based on the first PPG signal that the user is in the first sleep event, the wearable device measures the user's blood pressure to obtain the first blood pressure value.

3. The method according to claim 1, characterized in that The NREM sleep event is a sleep event that causes the user's blood pressure to decrease; when the first sleep event includes the NREM sleep event, before the wearable device acquires the motion data collected by the motion sensor and the first PPG signal collected by the PPG module, the method further includes: The wearable device receives a second user operation, where the second user operation is used to instruct the wearable device to measure the user's blood pressure when the first sleep event is monitored; When the user is in a sleeping state and it is determined based on the first PPG signal that the user is in a first sleeping event, the wearable device measures the user's blood pressure to obtain a first blood pressure value, specifically including: In response to the second operation, when the user is in a sleeping state and it is determined based on the first PPG signal that the user is in the first sleep event, the wearable device measures the user's blood pressure to obtain the first blood pressure value.

4. The method according to claim 1 or 2, characterized in that: The OSA event, the REM event, and the central sympathetic nerve activity increase event are sleep events that cause the user's blood pressure to increase; when the first sleep event includes any one or more of the OSA event, the REM event, and the central sympathetic nerve activity increase event, before the wearable device acquires the motion data collected by the motion sensor and the PPG signal collected by the PPG module, the method further includes: The wearable device obtains blood pressure measurement data of the user within a first period of time; The wearable device determines that the user is a hypertensive user based on the blood pressure measurement data of the user within the first time period; When the user is in a sleeping state and it is determined based on the first PPG signal that the user is in a first sleeping event, the wearable device measures the user's blood pressure to obtain a first blood pressure value, specifically including: In response to determining that the user is a hypertensive user, when the wearable device monitors the first sleep event, the user's blood pressure is measured to obtain the first blood pressure value.

5. The method according to claim 1 or 3, characterized in that: The NREM sleep event is a sleep event that causes the user's blood pressure to decrease; when the first sleep event includes the NREM sleep event, before the wearable device acquires the motion data collected by the motion sensor and the PPG signal collected by the PPG module, the method further includes: The wearable device obtains blood pressure measurement data of the user within a first period of time; The wearable device determines that the user is a hypotensive user based on the blood pressure measurement data of the user within the first time period; When the user is in a sleeping state and it is determined based on the first PPG signal that the user is in a first sleeping event, the wearable device measures the user's blood pressure to obtain a first blood pressure value, specifically including: In response to determining that the user is a low-blood-pressure user, when the wearable device monitors the first sleep event, the user's blood pressure is measured to obtain the first blood pressure value.

6. The method according to any one of claims 1 to 5, characterized in that: The wearable device further includes a blood pressure measuring device, which includes an inflatable component, an airbag and an air pressure sensor, the airbag is connected to the inflatable component and the air pressure sensor, and the PPG module includes a light source and a PPG sensor; Before the wearable device acquires the motion data collected by the motion sensor and the PPG signal collected by the PPG module, the method further includes: The wearable device controls the blood pressure measurement device to collect N groups of blood pressure values ​​and controls the PPG module to collect N groups of PPG signals corresponding to the N groups of blood pressure values; The wearable device generates a first target model according to the set of N groups of blood pressure values ​​and the N groups of PPG signals, wherein the input of the first target model is the PPG signal, the output of the first target model is the blood pressure value, and N is a positive integer greater than or equal to 2; The wearable device measures the user's blood pressure to obtain a first blood pressure value, specifically including: The wearable device controls the PPG module to collect a second PPG signal; The wearable device determines the first blood pressure value based on the second PPG signal and the first target model.

7. The method according to any one of claims 1 to 5, characterized in that: The wearable device further includes a blood pressure measuring device, which includes an inflatable component, an airbag and an air pressure sensor, wherein the airbag is connected to the inflatable component and the air pressure sensor; Before the wearable device acquires the motion data collected by the motion sensor and the PPG signal collected by the PPG module, the method further includes: The wearable device collects N groups of airbag pressures and N groups of blood pressure values ​​corresponding to the N groups of airbag pressures, wherein the N groups of airbag pressures include the airbag pressures corresponding to the moment when the oscillation wave of the air pressure in the N groups of airbags reaches a maximum value and the airbag pressures corresponding to the moment when the oscillation wave of the air pressure in the airbag reaches a× the maximum value; The wearable device generates a second target model according to the N groups of airbag pressures and the N groups of blood pressure values ​​corresponding to the N groups of airbag pressures, wherein the input of the second target model is the maximum value of the airbag pressure, the output of the first target model is the blood pressure value, and N is a positive integer greater than or equal to 2; The wearable device measures the user's blood pressure to obtain a first blood pressure value, specifically including: The wearable device controls the inflatable component to input a first airbag pressure into the airbag, wherein the first airbag pressure is less than the airbag pressure corresponding to the moment when the oscillation wave of the air pressure in the airbag reaches a×the maximum value; The wearable device determines the first blood pressure value based on the first airbag pressure and the second target model.

8. The method according to any one of claims 1 to 7, characterized in that: Before the wearable device acquires the motion data collected by the motion sensor and the PPG signal collected by the PPG module, the method further includes: When it is detected that the wearable device is converted from a non-wearing state to a wearing state, the wearable device displays a first prompt message, where the first prompt message is used to prompt the user to confirm whether the wearable device is worn by the user of the device; The wearable device receives and responds to a first operation of the user on a first option in the first prompt information, and confirms that the wearable device is a local user named Pety; After the wearable device acquires the first blood pressure value, the method further includes: The wearable device stores the first blood pressure value in a first storage area, and the first storage area stores blood pressure measurement data of the wearable device's user.

9. The method according to claim 8, characterized in that The method further comprises: The wearable device receives and responds to a second operation of the user on a second option in the first prompt information, and confirms that the user is not the local user Pety; After the wearable device acquires the first blood pressure value, the method further includes: The wearable device stores the first blood pressure value in a second storage area, and the second storage area stores blood pressure measurement data of non-users of the wearable device. The first storage area is different from the second storage area.

10. A wearable device, characterized in that: The wearable device includes a motion sensor, a PPG module, a memory, and a processor; wherein the motion sensor, the PPG module, the memory and the processor are coupled, and the memory is used to store a computer program, and when the processor executes and calls the computer program, the wearable device executes the method described in any one of claims 1-9.

11. A computer-readable storage medium comprising instructions, characterized in that: When the instruction is executed on the wearable device, the wearable device executes the method according to any one of claims 1 to 9.

Images