Blood pressure detection method, wearable device and storage medium

Abstract

The invention provides a blood pressure detection method, wearable equipment and a storage medium. The method is applied to the wearable device, and the wearable device comprises a motion sensor and a PPG module. The wearable device obtains motion data collected by the motion sensor and a first PPG signal collected by the PPG module; under the condition that the motion data and / or the first PPG signal meet the first condition, the wearable device determines whether the user is in a sleep state or not; when it is determined that the user is in the first sleep event, the wearable device obtains a first blood pressure value; the first sleep event comprises any one or more of the following events: an OSA event, an REM event, an NREM sleep event and a central sympathetic nerve activity increasing event. When the specific sleep event is detected, the blood pressure measurement is started, and when the specific sleep event is not detected, the blood pressure measurement is stopped, so that the interference on the sleep of the user can be reduced, the power consumption of the wearable equipment can be reduced, and the user experience is improved.

Description

Technical Field

[0001] 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

[0002] 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, it is measured every 10-15 minutes, and the average of multiple blood pressure measurements within 24 hours is taken as the blood pressure value. At present, 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.

[0003] In order to facilitate users to measure blood pressure, there are wrist-type dynamic blood pressure monitors, which are comfortable to wear and save time and effort. The wrist-type dynamic blood pressure monitor can monitor the user's nighttime blood pressure and daytime blood pressure. Monitoring blood pressure at night is essential for preventing and intervening in cardiovascular events. However, at night, the user is in the sleep stage, and the wrist-type dynamic blood pressure monitor periodically measures the user's blood pressure, which may affect the user's sleep quality. How to reduce the impact of nighttime blood pressure measurement on the user's sleep quality needs further research. Summary of the invention

[0004] 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 a specific sleep event 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.

[0005] 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 meets 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, central sympathetic nervous system activity increased event.

[0006] 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.

[0007] 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.

[0008] 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 the PPG module.

[0009] 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.

[0010] 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.

[0011] 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 PPG module pre-installed on the wearable device.

[0012] When blood oxygen, heart rate and respiratory rate meet the second condition, the wearable device determines that an OSA event has occurred. When the heart rate and respiratory rate meet the third condition, the wearable device determines that a REM event has occurred. When the heart rate and respiratory rate meet the fourth condition, the wearable device determines that a NREM event has occurred. When blood oxygen, heart rate and respiratory rate meet the fifth condition, the wearable device determines that an increased central sympathetic nervous activity event has occurred. Among them, the second condition, the third condition and the fourth condition are different.

[0013] 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.

[0014] 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.

[0015] In some embodiments, not limited to the PPG module and the motion sensor, the wearable device can also collect ambient sound and human voice through a microphone to determine whether the user has fallen asleep. Generally, after falling asleep, the surrounding environment is relatively quiet and the user hardly speaks. When the intensity of the ambient sound is less than the preset intensity and / or the human voice is less than the preset intensity, it can be determined that the user is in a sleeping state.

[0016] In some embodiments, the wearable device can also determine whether the user is asleep by the ambient brightness collected by the optical sensor. Generally speaking, the ambient light in which the user falls asleep is dim. When the ambient brightness collected by the optical sensor is less than the preset brightness, it can be determined that the user is asleep.

[0017] In some embodiments, the wearable device can also determine whether the user is asleep through EMG electromyography, EEG electroencephalography, GSR electrocutaneous signals and other signals collected by electrodes. When the EMG electromyography, EEG electroencephalography, and GSR electrocutaneous signals meet preset conditions, it can be determined that the user is asleep.

[0018] 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, and this application does not limit this.

[0019] By using this method, blood pressure measurement starts when a specific sleep event is detected, and stops when no specific sleep event is detected. In this way, interference with the user's sleep can be reduced, the power consumption of the wearable device can be reduced, and the user experience can be improved.

[0020] 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 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 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 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.

[0021] In this way, when the user knows that he is a hypertensive user, the user can actively set the wearable device to automatically start measuring the user's blood pressure when it detects a sleep event that causes the user's blood pressure to rise. On the one hand, it can actively trigger the wearable device to monitor the blood pressure of hypertensive users, and on the other hand, it can reduce interference with the user's sleep.

[0022] In combination with the first aspect, in a possible implementation, an 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 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.

[0023] In this way, when the user knows that he is a hypotensive user, the user can actively set the wearable device to automatically start measuring the user's blood pressure when it detects a sleep event that causes the user's blood pressure to drop. On the one hand, it can actively trigger the wearable device to monitor the blood pressure of the hypotensive user, and on the other hand, it can reduce the interference with the user's sleep.

[0024] 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 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 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 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.

[0025] In this way, the wearable device can determine whether the user is a hypertensive user based on historical blood pressure data. After determining that the user is a hypertensive user, when a sleep event that causes the user's blood pressure to rise is detected at night, the user's blood pressure will be automatically measured. On the one hand, the wearable device can be automatically triggered to monitor the blood pressure of the hypertensive user, and on the other hand, the interference with the user's sleep can be reduced.

[0026] In combination with the first aspect, in a possible implementation, an NREM sleep event is a sleep event that causes the user's blood pressure to lower; when the first sleep event includes an NREM sleep event, before the wearable device obtains 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 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 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.

[0027] In this way, the wearable device can determine whether the user is a hypotensive user based on historical blood pressure data. After determining that the user is a hypotensive user, when a sleep event that causes the user's blood pressure to drop is detected at night, the user's blood pressure will be automatically measured. On the one hand, the wearable device can be automatically triggered to monitor the blood pressure of the hypotensive user, and on the other hand, the interference with the user's sleep can be reduced.

[0028] 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 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.

[0029] 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.

[0030] In combination 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;

[0031] 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 pressure corresponding to the moment when the oscillation wave of the air pressure in the N groups of airbags reaches the maximum value and the airbag pressure corresponding to the moment when the oscillation wave of the air pressure in the airbag reaches a×maximum value;

[0032] 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.

[0033] 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.

[0034] 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 worn by the local user; 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.

[0035] 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, and confirms 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, and 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.

[0036] 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 affects the accuracy of the analysis results of the blood pressure measurement data of a single user.

[0037] 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.

[0038] In a third aspect, the present application provides a computer-readable storage medium comprising instructions. When the instructions are executed on a wearable device, the wearable device executes a blood pressure detection method provided in any possible implementation of any of the above aspects.

[0039] 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.

[0040] In a fifth aspect, the present application provides a computer program product comprising instructions. When the above-mentioned computer program product is run on a wearable device, the wearable device executes a blood pressure detection method provided in any possible implementation of any of the above-mentioned aspects.

[0041] 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

[0042] Figure 1 A schematic diagram showing a user wearing a wearable device 100 is shown;

[0043] Figure 2 A schematic diagram of the structure of the wearable device 100 is shown;

[0044] Figure 3An exemplary schematic diagram of the principle of the oscillometric method provided in an embodiment of the present application;

[0045] Figure 4 Another exemplary schematic diagram of the principle of the oscillometric method provided in an embodiment of the present application;

[0046] Figure 5A 1 shows a schematic diagram of the hardware structure of the wearable device 100;

[0047] Figure 5B A schematic diagram of the structure of an air bag, an air pump and an air path conducting component provided in an embodiment of the present application;

[0048] Figure 6A-6E A schematic diagram showing the wearable device 100 receiving a user operation to start a nighttime blood pressure measurement mode;

[0049] Figure 6F-6M A schematic diagram showing the electronic device 200 receiving a user operation to start a nighttime blood pressure measurement mode;

[0050] Figure 6N-Figure 6O A schematic diagram showing the wearable device 100 automatically turning on the nighttime blood pressure measurement mode;

[0051] Figure 6P-Figure 6V A schematic diagram showing the wearable device 100 confirming the identity of a user;

[0052] Figure 7A-7D A schematic diagram showing a wearable device 100 measuring a user's blood pressure;

[0053] Figure 8A-8D Shows the schematic diagram of the composition structure of several PPG modules;

[0054] Figure 9A-9I A schematic diagram showing a wearable device 100 displaying a blood pressure measurement result;

[0055] Figures 10A-10E A schematic diagram showing the wearable device 100 prompting the user to record the most recently performed activity event after detecting abnormally high daytime blood pressure;

[0056] Figures 11A-11E A schematic diagram showing the wearable device 100 prompting the user to record the most recently performed activity event after detecting abnormally low daytime blood pressure. DETAILED DESCRIPTION

[0057] The technical solutions in the embodiments of the present application will be described clearly and in detail below 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 of associated 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.

[0058] In the following, the terms "first" and "second" are used for descriptive purposes only and are not to be understood as suggesting or implying relative importance or implicitly indicating the number of the indicated technical features. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of the features, and in the description of the embodiments of the present application, unless otherwise specified, "plurality" means two or more.

[0059] The term "user interface (UI)" in the following embodiments of the present application refers to a medium interface for interaction and information exchange between an application or operating system and a user, which realizes the conversion between the internal form of information and the form acceptable to the user. The commonly used form of user interface is the graphical user interface (GUI), which refers to a user interface related to computer operation displayed in a graphical manner. It can be a visual interface element such as text, icons, buttons, menus, tabs, text boxes, dialog boxes, status bars, navigation bars, widgets, etc. displayed on the display screen of a wearable device.

[0060] 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 fundamentally different from daytime monitoring, because in the sleep 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.

[0061] Users can measure their blood pressure with a wrist-type dynamic blood pressure monitor. The wrist-type dynamic blood pressure monitor is worn on the user's wrist, which is convenient to wear and does not affect the user's daily activities. It is also convenient to measure the user's dynamic blood pressure to monitor the user's blood pressure in real time.

[0062] With the development of electronic technology, the functions of wearable devices are constantly enhanced. For example, wearable devices such as bracelets and watches can provide blood pressure measurement functions. When users wear wearable devices on their wrists, they can not only monitor the user's blood pressure in real time, but also play music, make / receive calls, send messages, view sports data and other functions based on wearable devices.

[0063] 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.

[0064] 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. This can monitor the user's abnormal blood pressure at night and reduce the impact on the user's sleep quality.

[0065] The sleep events include sleep events that may cause the user's blood pressure to rise or sleep events that cause the user's blood pressure to fall. Abnormal blood pressure of the user may cause critical situations such as cardiovascular events that affect the user's life safety.

[0066] The wearable device 100 can monitor nighttime sleep events, dynamically start nighttime blood pressure measurement, and monitor the nighttime blood pressure corresponding to the sleep events, thereby monitoring whether there are critical situations such as cardiovascular events that affect the user's life safety.

[0067] The sleep events may include but are not limited to: obstructive sleep apnea (OSA) events, rapid eye movement (REM) sleep events, non-REM sleep events, central sympathetic nerve activity increase events, etc.

[0068] Next, the definitions of the different sleep events mentioned above are introduced.

[0069] 1. OSA events

[0070] OSA events can cause the user's blood pressure to rise.

[0071] OSA is a common disease. It refers to the recurrence of apnea or hypopnea during sleep due to upper airway obstruction, resulting in intermittent hypoxia and hypercapnia. It is associated with diseases of multiple systems and is an independent risk factor for common diseases such as cardiovascular disease. At the end of apnea, as cardiac output increases and blood vessels contract strongly, blood pressure in the arteries surges. For example, blood pressure can rise from the normal 130 / 60 mmHg to 220 / 130 mmHg during apnea.

[0072] 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.

[0073] In some embodiments, whether OSA has occurred can be determined by physiological data such as blood oxygen, heart rate, and respiratory rate collected by a PPG module preset on the wearable device 100.

[0074] In other embodiments, the apnea-hypopnea index may be used to determine whether the user has OSA during sleep. For example, when the apnea-hypopnea index (AHI) is greater than or equal to 5 times / hour, OSA can be diagnosed.

[0075] 2. REM sleep events

[0076] 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.

[0077] REM sleep event is a stage of animal sleep. During the REM sleep stage, the eyeballs move rapidly and the body muscles relax. The REM sleep stage is very similar to the awake state. The body is in a paralyzed state, but the brain activity is very active. REM sleep events are related to dreaming. During REM sleep events, sympathetic nerve activity sometimes increases, causing the user's heart rate and blood pressure to temporarily increase. In some embodiments, physiological data such as heart rate and respiratory rate collected by the PPG module preset on the wearable device 100 can be used to determine whether it is in a REM sleep event.

[0078] 3. NREM sleep events

[0079] NREM sleep events may cause the 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.

[0080] 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 he is awake. But there will be a drowsy feeling. 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.

[0081] In some embodiments, whether the wearable device 100 is in a NREM sleep event can be determined by collecting physiological data such as heart rate and respiratory rate by a PPG module preset on the wearable device 100.

[0082] 4. Events of increased central sympathetic nervous system activity

[0083] The central sympathetic nerve activity increase event may cause the user's blood pressure to increase. For example, during the central sympathetic nerve activity increase event, the blood pressure of a hypertensive user may increase abnormally.

[0084] 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.

[0085] REM sleep event latency can be referred to as the time from falling asleep to the first occurrence of a REM sleep event.

[0086] The wearable device 100 can monitor the user's awakening times, NREM sleep event duration, REM sleep event latency, etc. When the user's awakening times are greater than the preset times, the NREM sleep event duration is lower than the first value, and the REM sleep event latency duration is lower than the second value, the user's central sympathetic nerve activity is enhanced at night, which will cause the user's frontal blood pressure to rise.

[0087] 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 PPG module preset on the wearable device 100.

[0088] Based on the above description, it can be seen that OSA events, REM sleep events and events of increased central sympathetic nervous system activity may cause an increase in blood pressure in hypertensive users, and NREM sleep events may cause a decrease in blood pressure in hypertensive users.

[0089] 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.

[0090] 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, but the present application does not limit this.

[0091] The present application provides a nighttime blood pressure monitoring method, in which 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.

[0092] The wearable device 100 can classify sleep events into two categories based on the impact of sleep events on nocturnal blood pressure, including sleep events that may cause increased blood pressure and sleep events that may cause decreased blood pressure.

[0093] 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.

[0094] Sleep events that may cause a decrease in blood pressure may include, but are not limited to, NREM sleep events.

[0095] In some embodiments, different blood pressure measurement strategies may be initiated for different groups of people with abnormal blood pressure.

[0096] For example, for people with high blood pressure, the wearable device 100 can monitor sleep events that cause high blood pressure, and measure blood pressure after monitoring the sleep events that cause high blood pressure.

[0097] For another example, for people with high blood pressure, 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.

[0098] For another example, for people with high blood pressure, 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.

[0099] 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 a sleep event that causes an increase in blood pressure is detected. For another example, the user can set the wearable device 100 to start measuring blood pressure when a sleep event that causes a decrease in blood pressure is detected. For another example, the user can set the wearable device 100 to start measuring blood pressure when a sleep event that causes an increase in blood pressure and a sleep event that causes a decrease in blood pressure are detected.

[0100] Next, a wearable device 100 for measuring blood pressure provided by the present application is introduced.

[0101] Figure 1 A schematic diagram showing a user wearing a wearable device 100 is shown.

[0102] like Figure 1 As shown, the user can wear the wearable device 100 on the user's wrist.

[0103] Figure 2 A schematic diagram of the structure of the wearable device 100 is shown.

[0104] like Figure 2 As shown, the wearable device 100 may include a watch body 201 and a wearable component 202 .

[0105] The watch body 201 is provided with a motion sensor, such as a gyroscope sensor and an acceleration sensor, and 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.

[0106] The watch body 201 may include a display screen 203. The display screen 203 may be used to display the time, the power level of the watch body 201, the Bluetooth logo, received messages, and user motion data. The display screen 203 may be used to receive a user click operation to light up the display screen, start and end a motion mode, and the like. The display screen 203 may also record the number of steps moved by the user, the calories consumed, and may have basic functions such as call reminders and message notifications. In a 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 wearable device 100 to which the connection is established. Furthermore, when the wearable device 100 receives an incoming call or message notification, the watch body 201 may receive an instruction from the mobile phone to remind the user that there is an incoming call or message notification.

[0107] The wearable component 202 is used to mount the watch body 201. For example, the wearable component 202 may be a device such as a wristband or a watch strap. The wearable component 202 is a device that allows the device watch body 201 to be attached to the user's wrist. The wearable device 100 is attached to the user's wrist, so that the inertial sensor can collect the motion data of the user's wrist to monitor the movement of the user's wrist to determine the user's posture.

[0108] 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.

[0109] 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 block the arm artery, and then, in the process of slowly deflation, 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. 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, and 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 an oscillometric method.

[0110] 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 blocked by the component until it is completely blocked, record the air pressure value of the wearable component 202 and the pulse signal generated by the pulse, and 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 changes in the magnitude of the lateral pressure will cause the blood vessel wall to vibrate slightly, and 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.

[0111] Figure 3 An exemplary schematic diagram of the principle of the oscillometric method provided in an embodiment of the present application.

[0112] like Figure 3As shown, in the process of the wearable device 100 inflating the wearable component 202 to temporarily block the arm artery, the state of the wearable component 202 is gradually increasing the pressure to stability, and the artery state is gradually blocked to completely blocked; then in the process of slowly deflation, the state of the wearable component 202 is gradually decreasing the pressure to 0, and the artery state is completely blocked to unblocked. In the process of the wearable component 202 gradually decreasing the pressure to 0, the air pressure value and pulse signal of the wearable component 202 are recorded. When the air pressure value of the wearable component 202 is greater than or equal to the systolic pressure, the artery is blocked and the pulse signal is a small oscillation wave; when the air pressure value of the wearable component 202 gradually decreases and is less than the systolic pressure and greater than the mean pressure, the artery is gradually unblocked and the amplitude of the pulse signal continues to increase; when the air pressure value of the wearable component 202 is equal to the mean pressure, the amplitude of the pulse signal reaches the maximum value; when the air pressure value of the wearable component 202 continues to gradually decrease and is 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 the wearable component 202 is less than the diastolic pressure, the pulse signal is a small oscillation wave. Therefore, the wearable device 100 can determine the user's systolic and diastolic pressures through the amplitude changes of the pulse signal and the air pressure value of the wearable component 202. In a possible implementation, the air pressure value of the wearable component 202 and the pulse signal can be determined by the air pressure sensor built into the wearable device 100.

[0113] Figure 4 Another exemplary schematic diagram of the principle of the oscillometric method provided in an embodiment of the present application.

[0114] like Figure 4 As shown, in the process of the wearable device 100 inflating the wearable component 202 to temporarily block the arm artery, the state of the wearable component 202 is gradually increasing pressure to stability, and the artery state is gradually blocked to complete blockage. In the process of the wearable component 202 being gradually pressurized to stability, the air pressure value and pulse signal of the wearable component 202 are recorded. When the air pressure value of the wearable component 202 gradually increases and the diastolic pressure is less than the mean pressure, the pulse signal is a small oscillation wave. When the air pressure value of the wearable component 202 continues to gradually increase and is greater than the diastolic pressure and less than the mean pressure, the amplitude of the pulse signal gradually increases, and when the air pressure value of the wearable component 202 is equal to the mean pressure, the amplitude of the pulse signal reaches the maximum value. When the air pressure value of the wearable component 202 gradually increases and is greater than the mean pressure and less than the systolic pressure, the artery is gradually blocked, and the amplitude of the pulse signal continues to decrease; when the air pressure value of the wearable component 202 is greater than or equal to the systolic pressure, the artery is blocked, and the pulse signal is a small oscillation wave. Therefore, the wearable device 100 can determine the user's systolic and diastolic blood pressures through the amplitude change of the pulse signal and the air pressure value of the wearable component 202. In a 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.

[0115] Figure 5A A schematic diagram of the hardware structure of the wearable device 100 is shown.

[0116] like Figure 5A As shown, 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, etc. 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.

[0117] The 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 screen 205, a motor 206, an internal memory 207, a SIM card interface 208, a USB interface 209, a power management module 210, a battery 211, and a charging management module 212. Among them, the sensor module 203 may include a touch sensor 203A, an air pressure sensor 203B, an air pump 203C, an airbag 203D, a magnetic sensor 203E, a photoplethysmography (PPG) sensor 203F and a motion sensor 203G, and an air path conducting component 203H. Among them, the airbag 203D has a similar function to the wearable component 202.

[0118] It is understood that the structure illustrated in the embodiment of the present invention does not constitute a specific limitation on the wearable device. In other embodiments of the present application, the wearable device may include more or fewer components than shown in the figure, or combine certain components, or split certain components, or arrange the components differently. The components shown in the figure may be implemented in hardware, software, or a combination of software and hardware.

[0119] 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 processor (GPU), an image signal processor (ISP), a controller, a video codec, a digital signal processor (DSP), a baseband processor, and / or a neural-network processing unit (NPU), etc. Different processing units may be independent devices or integrated into one or more processors.

[0120] In some embodiments, the processor 200A may include one or more interfaces. The interface may include an inter-integrated circuit (I2C) interface, an inter-integrated circuit sound (I2S) interface, a pulse code modulation (PCM) interface, a universal asynchronous receiver / transmitter (UART) interface, a mobile industry processor interface (MIPI), a general-purpose input / output (GPIO) interface, a subscriber identity module (SIM) interface, and / or a universal serial bus (USB) interface, etc.

[0121] In some embodiments, the processor 200A may also be a microprocessor unit (MCU).

[0122] The I2C interface is a bidirectional synchronous serial bus, including a serial data line (SDA) and a serial clock line (SCL). In some embodiments, the processor 200A may include multiple groups of I2C buses. The processor 200A may be coupled to the touch sensor 203A, the power management module 210, etc. through different I2C bus interfaces. For example, the processor 200A may be coupled to the touch sensor 203A through the I2C interface, so that the processor 200A communicates with the touch sensor 203A through the I2C bus interface, thereby realizing the touch function of the wearable device.

[0123] The I2S interface can be used for audio communication. The PCM interface can also be used for audio communication to sample, quantize and encode analog signals. The UART interface is a universal serial data bus for asynchronous communication. The bus can be a bidirectional communication bus. It converts the data to be transmitted between serial communication and parallel communication. In some embodiments, the UART interface is generally used to connect the processor 200A with the wireless communication module 201. For example, the processor 200A communicates with the Bluetooth module in the wireless communication module 201 through the UART interface to implement the Bluetooth function.

[0124] The MIPI interface can be used to connect the processor 200A with peripheral devices such as the display screen 205. The MIPI interface includes a camera serial interface (CSI), a display serial interface (DSI), etc. The processor 200A and the display screen 205 communicate through the DSI interface to realize the display function of the wearable device.

[0125] The GPIO interface can be configured by software. The GPIO interface can be configured as a control signal or as a data signal. The USB interface 209 is an interface that complies with the USB standard specification, and can specifically be a Mini USB interface, a Micro USB interface, a USB Type C interface, etc. The USB interface 209 can be used to connect a charger to charge the wearable device, and can also be used to transmit data between the wearable device and peripheral devices.

[0126] It is understandable that the interface connection relationship between the modules illustrated in the embodiment of the present invention is only a schematic illustration and does not constitute a structural limitation on the wearable device. In other embodiments of the present application, the wearable device may also adopt different interface connection methods in the above embodiments, or a combination of multiple interface connection methods.

[0127] The charging management module 212 is used to receive charging input from a charger. The charger can be a wireless charger or a wired charger. In some wired charging embodiments, the charging management module 212 can receive charging input from the wired charger through the USB interface 209. In some wireless charging embodiments, the charging management module 212 can receive wireless charging input through the wireless charging coil of the wearable device. While the charging management module 212 is charging the battery 211, it can also power the wearable device through the power management module 210.

[0128] 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 supplies power to the processor 200A, the internal memory 207, the display screen 205, and the wireless communication module 201. The power management module 210 can also be used to monitor parameters such as battery capacity, battery cycle number, battery health status (leakage, impedance), etc. In some other embodiments, the power management module 210 can also be set in the processor 200A. In other embodiments, the power management module 210 and the charging management module 212 can also be set in the same device.

[0129] 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.

[0130] The mobile communication module 202 can provide solutions for wireless communications including 2G / 3G / 4G / 5G applied to wearable devices. The mobile communication module 202 may include at least one filter, a switch, a power amplifier, a low noise amplifier (LNA), etc. The mobile communication module 202 can receive electromagnetic waves from an antenna, and filter, amplify, and process the received electromagnetic waves, and transmit them to a modulation and demodulation processor for demodulation. In some embodiments, at least some of the functional modules of the mobile communication module 202 may be arranged in the processor 200A. In some embodiments, at least some of the functional modules of the mobile communication module 202 may be arranged in the same device as at least some of the modules of the processor 200A.

[0131] The wireless communication module 201 can provide wireless communication solutions including wireless local area networks (WLAN) (such as wireless fidelity (Wi-Fi) networks), bluetooth (BT), global navigation satellite system (GNSS), frequency modulation (FM), near field communication (NFC), infrared (IR) and the like applied to wearable devices. The wireless communication module 201 can be one or more devices integrating at least one communication processing module. The wireless communication module 201 receives electromagnetic waves via an antenna, modulates and filters the electromagnetic wave signals, and sends the processed signals to the processor 200A. The wireless communication module 201 can also receive the signal to be sent from the processor 200A, modulate the frequency, amplify it, and convert it into electromagnetic waves for radiation through the antenna.

[0132] The button 204 includes a power button, a volume button, etc. The button 204 can be a mechanical button or a touch button. The wearable device can receive the button input and generate a key signal input related to the user setting and function control of the wearable device.

[0133] The display screen 205 is used to display images, videos, etc. The display screen 205 includes a display panel. The display panel can be a liquid crystal display (LCD), an organic light-emitting diode (OLED), an active-matrix organic light-emitting diode or an active-matrix organic light-emitting diode (AMOLED), a flexible light-emitting diode (FLED), a quantum dot light-emitting diode (QLED), etc. In some embodiments, the wearable device may include 1 or N display screens 205, where N is a positive integer greater than 1.

[0134] Motor 206 can generate vibration prompts. Motor 206 can be used for incoming call vibration prompts, and can also be used for touch vibration feedback. For example, touch operations acting on different applications (such as taking pictures, audio playback, etc.) can correspond to different vibration feedback effects. Motor 206 can also correspond to different vibration feedback effects for touch operations acting on different areas of display screen 205.

[0135] The internal memory 207 may include one or more random access memories (RAM) and one or more non-volatile memories (NVM).

[0136] Random access memory may include static random-access memory (SRAM), dynamic random access memory (DRAM), synchronous dynamic random access memory (SDRAM), double data rate synchronous dynamic random access memory (DDR SDRAM, for example, the fifth generation DDR SDRAM is generally referred to as DDR5 SDRAM), etc.;

[0137] The non-volatile memory may include a disk storage device and a flash memory. The flash memory may include NOR FLASH, NAND FLASH, 3D NAND FLASH, etc. according to the operating principle, may include single-level cell (SLC), multi-level cell (MLC), triple-level cell (TLC), quad-level cell (QLC), etc. according to the potential level of the storage unit, and may include universal flash storage (UFS), embedded multi-media card (eMMC), etc. according to the storage specification. The random access memory can be directly read and written by the processor 200A, and 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, etc. The non-volatile memory can also store executable programs and store user and application data, etc., and can be loaded into the random access memory in advance for direct reading and writing by the processor 200A.

[0138] The SIM card interface 208 is used to connect a SIM card. The SIM card can be connected to and separated from the wearable device by inserting it into the SIM card interface 208 or pulling it out from the SIM card interface 208. The wearable device can support 1 or N SIM card interfaces, where N is a positive integer greater than 1. The SIM card interface 208 can support Nano SIM cards, Micro SIM cards, SIM cards, and the like. Multiple cards can be inserted into the same SIM card interface 208 at the same time. The types of the multiple cards can be the same or different. The SIM card interface 208 can also be compatible with different types of SIM cards. The SIM card interface 208 can also be compatible with external memory cards. The wearable device interacts with the network through the SIM card to implement functions such as calls and data communications. In some embodiments, the wearable device uses an eSIM, i.e., an embedded SIM card. The eSIM card can be embedded in the wearable device and cannot be separated from the wearable device.

[0139] In some embodiments, the wearable device 100 may not include the SIM card interface 208 .

[0140] The touch sensor 203A is also called a "touch control device". The touch sensor 203A can be set on the display screen 205. The touch sensor 203A and the display screen 205 form a touch screen, also called a "touch control screen". The touch sensor 203A is used to detect touch operations acting on or near it. The touch sensor can pass the detected touch operation to the application processor to determine the type of touch event. Visual output related to the touch operation can be provided through the display screen 205. In other embodiments, the touch sensor 203A can also be set on the surface of the wearable device, which is different from the position of the display screen 205.

[0141] The air pressure sensor 203B is used to measure air pressure. In some embodiments of the present application, the wearable device measures the air pressure in the airbag 203D through the air pressure sensor 203B. In some embodiments of the present application, a part of the air pressure sensor 203B is located inside the airbag 203D to sense the air pressure of the airbag 203D.

[0142] The air pump 203C is used for inflation and deflation. In some embodiments of the present application, the wearable device inflates the airbag 203D through the air pump 203C, wherein the air pump 203C and the airbag 203D are connected through the air path conducting component 203H. The airbag 203D is used to squeeze the user's blood vessels.

[0143] The magnetic sensor 203E includes a Hall sensor. In some embodiments of the present application, the wearable device can use the magnetic sensor 203F to determine whether the airbag 203D on the wearable device is disassembled. For example, a magnet can be configured on the airbag 203D or on a strap connected to the airbag 203D, and the wearable device can determine the magnetic flux generated by the magnet on the airbag 203D or on the airbag 203D through the magnetic sensor, and then determine whether the airbag 203D on the wearable device is disassembled.

[0144] The PPG sensor 203F user obtains the user's health data based on the PPG signal collected by the PPG sensor 203F. The user's health data includes but is not limited to: heart rate, blood oxygen, respiratory rate, blood oxygen saturation (SaO2), etc. In some embodiments, the PPG sensor 203F can also be called a PPG module.

[0145] It is not limited to the PPG sensor 203F, and the user's health data 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.

[0146] 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.

[0147] 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.

[0148] It is worth noting that the sensor module 203 may also include an infrared sensor and the like.

[0149] like Figure 5B As shown, when the wearable device 100 is a watch, the airbag 203D is attached to the side of the wearable component 202 close to the body. The air pump 203C is connected to the airbag 203D through the air path conducting component 203H. The airbag 203D can be attached to only one side of the wearable component 202, and the wearable component 202 on this side can be located above the artery position of the user's wrist, such as above the radial artery position.

[0150] The air pump 203C can be located inside the body of the smart watch, the air bag 203D can be connected to the strap buckle, and the air bag 203D is connected to the dial through the vent cover. Correspondingly, the air bag 203D can be separated from the strap or the dial.

[0151] Next, it is described how the wearable device 100 monitors the user's nighttime blood pressure.

[0152] 1. Turn on the nighttime blood pressure measurement mode

[0153] The wearable device 100 can start measuring nocturnal blood pressure based on but not limited to any one or more of the following methods.

[0154] Method 1: The wearable device 100 receives a user operation to start a nighttime blood pressure measurement mode.

[0155] Figure 6A-6E A schematic diagram showing the wearable device 100 receiving a user operation to start a nighttime blood pressure measurement mode.

[0156] For example, Fig. 6A As shown, the wearable device 100 receives the user's operation and responds to the user's operation, and displays Fig. 6A The user interface 610 shown may include an option 601 , and the option 601 is used to enable the nighttime blood pressure measurement mode of the wearable device 100 .

[0157] Fig. 6A As shown, the wearable device 100 can receive a user input operation (eg, a single click) for option 601, and in response to the user's input operation, the wearable device 100 can turn on the nighttime blood pressure measurement mode.

[0158] The wearable device 100 turns on the blood pressure measurement mode, which may mean that after the wearable device 100 detects that the user falls 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 events.

[0159] 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.

[0160] For example, in response to the user input operation for option 601 in the user interface 610, the wearable device 100 may display Figure 6B The user interface 620 shown includes multiple options, which may include option 6201, option 6202, and option 6203. Option 6201 is used for the user to select the wearable device 100 to monitor sleep events that cause increased blood pressure, option 6202 is used for the user to select the wearable device 100 to monitor sleep events that cause decreased blood pressure, and option 6203 is used for the user to select the wearable device 100 to monitor both sleep events that cause increased blood pressure and sleep events that cause decreased blood pressure.

[0161] like Figure 6C As shown, the wearable device 100 can receive a user 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 a sleep event that causes increased blood pressure occurs at night, and start measuring the user's blood pressure after monitoring a sleep event that causes increased blood pressure.

[0162] In response to selecting option 6201, the wearable device 100 may change the display form of option 6201, such as deepening the display, etc. Afterwards, the wearable device 100 may receive an input operation (such as a single click) from the user for option 6204 in the user interface 620. In response to the input operation from the user, the wearable device 100 may start monitoring sleep events that cause elevated blood pressure at night.

[0163] In other embodiments, the wearable device 100 may not display Figure 6B-6C As shown in the user interface, after the wearable device 100 receives the user operation to start the nighttime blood pressure measurement mode, the wearable device 100 can start monitoring sleep events that cause increased blood pressure by default, or the wearable device 100 can start monitoring sleep events that cause decreased blood pressure by default, or the wearable device 100 can start monitoring sleep events that cause increased blood pressure and sleep events that cause decreased blood pressure by default.

[0164] 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.

[0165] For example, in response to the user input operation for option 6204 in user interface 620, wearable device 100 may display Fig.6D The user interface 630 shown includes multiple options, which may include option 6301, option 6302, option 6303, and option 6304. Option 6301 is used for the user to select the wearable device 100 to monitor OSA events that cause increased blood pressure, option 6302 is used for the user to select the wearable device 100 to monitor REM sleep events that cause increased blood pressure, option 6303 is used for the user to select the wearable device 100 to monitor central sympathetic nerve activity increased events that cause increased blood pressure, and option 6304 is used for the user to select the wearable device 100 to monitor OSA events, REM sleep events, and central sympathetic nerve activity increased events that cause increased blood pressure.

[0166] like Fig. 6E As shown, the wearable device 100 can receive a user 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 are OSA events, REM sleep events, or central sympathetic nervous system activity increase events that cause increased blood pressure at night, and start measuring the user's blood pressure after monitoring the occurrence of OSA events, REM sleep events, or central sympathetic nervous system activity increase events that cause increased blood pressure.

[0167] In response to selecting option 6304, the wearable device 100 may change the display form of option 6304, such as deepening the display, etc. Afterwards, the wearable device 100 may receive a user input operation (such as a single click) for option 6305 in the user interface 630. In response to the user input operation, the wearable device 100 may start monitoring OSA events or REM sleep events or central sympathetic nerve activity increase events that cause increased blood pressure at night.

[0168] In some embodiments, after the wearable device 100 receives the user's operation to select to monitor the sleep events that cause the blood pressure to rise, the wearable device 100 may not display Figure 6D-Figure 6E As shown in the user interface, after the wearable device 100 receives the user's operation to monitor sleep events that cause high blood pressure, the wearable device 100 can start monitoring any one or more of OSA events, REM sleep events, and central sympathetic nervous system activity increased events that cause high blood pressure by default, and this application does not limit this.

[0169] 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.

[0170] Figure 6F-6L A schematic diagram showing the electronic device 200 receiving a user operation to start a nighttime blood pressure measurement mode.

[0171] Exemplarily, the wearable device 100 may establish a Bluetooth connection with the electronic device 200 .

[0172] For example, Fig. 6F As shown, the electronic device 200 displays a main interface, and the main interface shows application icons of multiple applications.

[0173] In some embodiments, the user can enable the blood pressure measurement mode in the sports health application of the electronic device 200 .

[0174] Not limited to sports and health applications, users can also turn on the blood pressure measurement mode in other applications. This application is only illustrated by taking the sports and health application as an example, but it should not constitute a limitation.

[0175] For example, users can also turn on blood pressure measurement mode in the smart life application.

[0176] like Fig. 6F As shown, 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.

[0177] like Figure 6G As shown, when the sports health application is turned on, the electronic device can display Figure 6G The user interface shown. Figure 6G The user interface shown 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. The present application embodiment does not limit the content displayed on the device options. In response to the operation of the device options, the electronic device may display Figure 6H The user interface 640 shown. The user interface 640 may be a user interface for managing the wearable device 100 in a sports health application.

[0178] The user interface 640 may include device status, exercise data, and professional exercise modes.

[0179] The device status can be used to indicate the connection status between the wearable device 100 and the electronic device and the power 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 power information of the wearable device 100. The device status can indicate the current power level of the wearable device 100, for example, 77%. The content of the device status prompt can also include more, which is not limited to this embodiment of the present application.

[0180] The motion data may include the number of steps, calories consumed, and distance traveled recorded by the wearable device 100. The data in the motion data is the data of the user in one day recorded by the wearable device 100 in the working state. It may include the total number of steps, calories consumed, and distance traveled when the user is walking, playing basketball, running, and other daily activities.

[0181] 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 a start button for the blood pressure measurement mode and a start button for starting the running mode. In response to a user operation on the start 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 message such as Fig.6I The user interface 650 shown in FIG. 6 shows an end button for ending the nighttime blood pressure measurement mode. In response to a user operation, such as a touch operation, on the end button of the nighttime blood pressure measurement mode, 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 650 such as FIG. Figure 6H User interface 640 is shown.

[0182] 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.

[0183] For example, in response to a user operation of the on button for the nighttime blood pressure measurement mode, the electronic device 200 may display Figure 6J The user interface 660 shown includes multiple options, which may include option 6611, option 6612, and option 6613. Option 6611 is used for the user to select the wearable device 100 to monitor sleep events that cause increased blood pressure, option 6612 is used for the user to select the wearable device 100 to monitor sleep events that cause decreased blood pressure, and option 6613 is used for the user to select the wearable device 100 to monitor both sleep events that cause increased blood pressure and sleep events that cause decreased blood pressure.

[0184] like Figure 6K As shown, 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 sleep events that cause increased blood pressure to the wearable device 100. The wearable device 100 may monitor whether a sleep event that causes increased blood pressure occurs at night, and after monitoring the occurrence of a sleep event that causes increased blood pressure, it may start measuring the user's blood pressure.

[0185] In response to selecting option 6611, the electronic device 200 may change the display form of option 6611, such as deepening the display, etc. Afterwards, the electronic device 200 may receive a user input operation (such as a single click) for option 6614 in the user interface 660, and in response to the user input operation, the wearable device 100 may start monitoring sleep events that cause elevated blood pressure at night.

[0186] In other embodiments, the electronic device 200 may not display Figure 6J-6K As shown in the user interface, 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 can start monitoring sleep events that cause increased blood pressure by default, or the wearable device 100 can start monitoring sleep events that cause decreased blood pressure by default, or the wearable device 100 can start monitoring sleep events that cause increased blood pressure and sleep events that cause decreased blood pressure by default.

[0187] 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 specific events of monitoring of sleep events that cause increased blood pressure.

[0188] For example, in response to the user input operation on option 6614 in user interface 660, electronic device 200 may display Figure 6L The user interface 6620 shown includes multiple options, which may include option 6621, option 6622, option 6623, and option 6624. Option 6621 is used for the user to select the wearable device 100 to monitor OSA events that cause increased blood pressure, option 6622 is used for the user to select the wearable device 100 to monitor REM sleep events that cause increased blood pressure, option 6623 is used for the user to select the wearable device 100 to monitor central sympathetic nerve activity increased events that cause increased blood pressure, and option 6624 is used for the user to select the wearable device 100 to monitor OSA events, REM sleep events, and central sympathetic nerve activity increased events that cause increased blood pressure.

[0189] like Figure 6MAs shown, the electronic device 200 may receive an input operation (e.g., a click) from the user 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.

[0190] In response to selecting option 6624, the electronic device 200 may change the display form of option 6624, such as deepening the display, etc. Afterwards, the electronic device 200 may receive a user input operation (such as a single click) for option 6625 in the user interface 660. In response to the user input operation, the wearable device 100 may start monitoring OSA events or REM sleep events or central sympathetic nerve activity increase events that cause increased blood pressure at night.

[0191] In some embodiments, after the electronic device 200 receives the user's operation to select to monitor the sleep events that cause the blood pressure to rise, the electronic device 200 may not display Figure 6L-6M As shown in the user interface, after the electronic device 200 receives the user's operation to monitor sleep events that cause high blood pressure, the wearable device 100 can start monitoring any one or more of OSA events, REM sleep events, and central sympathetic nervous system activity increased events that cause high blood pressure by default, and this application does not limit this.

[0192] Method three: 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.

[0193] Figure 6N-Figure 6O A schematic diagram showing the wearable device 100 automatically turning on the nighttime blood pressure measurement mode.

[0194] Generally speaking, the normal blood pressure of a user is between 90mmHg and 120mmHg. If the user's lowest blood pressure is lower than 90mmHg and exceeds a certain threshold, it means that the user's blood pressure is low and may suffer from hypotension. If the user's lowest blood pressure is higher than 120mmHg and exceeds a certain threshold, it means that the user's blood pressure is high and may suffer from hypertension.

[0195] 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.

[0196] 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 or low or normal.

[0197] Exemplarily, 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.

[0198] 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.

[0199] The method of turning on 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 turned on in other ways, and this application does not limit this.

[0200] 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.

[0201] In some embodiments, after the wearable device 100 turns on the nighttime blood pressure measurement mode, the wearable device 100 may display Figure 6N The user interface 670 shown includes a prompt message "Nighttime blood pressure measurement mode has been turned on". The prompt message is used to prompt the user that the wearable device 100 has turned on the nighttime blood pressure measurement mode. The user interface 670 also includes an option 6701 to exit the nighttime blood pressure measurement mode. The user can use the option 6701 to exit the nighttime blood pressure measurement mode to turn off the nighttime blood pressure measurement mode of the wearable device 100.

[0202] 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 enters a sleeping state. If the wearable device 100 detects that the motion sensor in the wearable device 100 is not turned on, the wearable device 100 can display Fig.6OThe user interface 680 shown includes a prompt message "It is necessary to turn on the motion sensor to turn on the blood pressure measurement mode. 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 the confirmation option, and the user can also not turn on the motion sensor in the wearable device 100 by the cancel option.

[0203] For example, Fig.6O As shown, the wearable device 100 can receive a user input operation (eg, a single click) for determining an option in the user interface 680 , and in response to the user input operation, the wearable device 100 can turn on a motion sensor in the wearable device 100 .

[0204] 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 Fig.6O The prompt information shown.

[0205] 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 give targeted opinions on the blood pressure measurement values ​​of the same user.

[0206] After the wearable device 100 turns on the blood pressure measurement mode, before the wearable device 100 starts to measure the user's blood pressure, the wearable device 100 needs to confirm the user's identity. This allows the blood pressure measurements of different users to be stored separately, avoiding the problem of mixing the blood pressure measurements of different users together, which may cause inaccurate targeted opinions on the blood pressure measurements of the same user given by the subsequent wearable device 100.

[0207] Figure 6P-Figure 6V A schematic diagram showing the wearable device 100 confirming the identity of a user is shown.

[0208] Optionally, the wearable device 100 may confirm the identity of the user when the user wears the wearable device 100 for the first time. The user wearing the wearable device 100 for the first time may refer to the wearable device 100 being worn on the user's wrist again after being taken off from the user's wrist or being worn on the user's wrist again after a certain period of time.

[0209] For example, after the wearable device 100 turns on the blood pressure measurement mode, the wearable device 100 may display Figure 6P The user interface shown, Figure 6PThe user interface shown includes a prompt message "Please select whether to wear it yourself", which is used to prompt the user to confirm the identity of the wearer of the wearable device 100. Among them, I can refer to the owner of the wearable device 100, and the owner of the wearable device 100 is a user who wears the wearable device 100 for a long time. Figure 6P The user interface shown also includes a yes option and a no option, wherein the yes option is used to confirm that the wearable device 100 is currently worn by the user, and the no option is used to confirm that the wearable device 100 is not currently worn by the user.

[0210] In a possible implementation, the wearable device 100 may receive a user's Figure 6P The user interface shown is an input operation of an option (eg, a single click). In response to the user's input operation, the wearable device 100 may display Figure 6Q The user interface 690 shown includes a prompt message “Please verify user identity”, which is used to prompt the user to verify whether the current user is himself to avoid misoperation.

[0211] The identity verification methods include but are not limited to face recognition, fingerprint recognition, voiceprint recognition, etc. Identity verification can also be in other ways, which are not limited in this application.

[0212] When the identity authentication is passed, that is, when it is determined that the owner of the wearable device 100 is wearing the device, the wearable device 100 may display Figure 6R The user interface 6110 shown includes a prompt message “Authentication passed, please start measuring blood pressure!”, which is used to indicate that the user is the owner of the wearable device 100 and is wearing the device.

[0213] In other possible implementations, such as Figure 6S As shown, the wearable device 100 can receive the user's Figure 6S In the user interface shown in FIG. 1 , the wearable device 100 may display an input operation (eg, click) of the no option. In response to the user's input operation, the wearable device 100 may display an input operation (eg, click) of the no option. Figure 6T The user interface 6120 shown includes a selection bar 6121, and the selection bar 6121 is used for the user to select a user name.

[0214] like Figure 6T As shown, the wearable device 100 can receive a user input operation (such as a single click) for the option 6122 in the selection bar 6121, and in response to the user's input operation, the wearable device 100 can display Figure 6UThe selection bar 6124 is shown. The selection bar 6124 shows multiple test object options. For example, the multiple test objects include but are not limited to the test object "AAAA", the test object "BBBB", the test object "Lisa", the test object "Lucy", etc. The user can select any test object to start measuring blood pressure, and the test data will be bound and stored with the currently selected test object to avoid confusion between blood pressure measurement results of different users.

[0215] 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 an input operation from the user for a new detection object option in the selection bar 6124, and add an option for the user that currently needs to be detected.

[0216] In this way, the detection data of different detection objects can be stored separately, which is convenient for viewing the detection data of different detection objects within a certain period of time in the future.

[0217] For example, Figure 6U As shown, 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 following in the selection bar 6121: Figure 6V The "Lucy" logo shown.

[0218] Afterwards, the wearable device 100 can receive a user input operation (eg, a single click) for the start measurement option 6123, and in response to the user's input operation, can start measuring blood pressure.

[0219] Afterwards, the electronic device 200 can bind and store the blood pressure measurement value of the detection object "Lucy" with the detection object "Lucy". Specifically, the electronic device 200 can find the storage area of ​​the detection object "Lucy" and store the blood pressure measurement value of the detection object "Lucy" in the storage area of ​​the detection object "Lucy". It should be noted that the storage areas of different detection objects are different and isolated from each other, which can avoid confusion between the blood pressure measurement results of different users.

[0220] In other embodiments, Figure 6S As shown, when the wearable device 100 receives the user's Figure 6S After the input operation (e.g., single click) of the No option in the user interface shown, 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.

[0221] Obtain the corresponding relationship between the airbag pressure and the blood pressure or the corresponding relationship between the PPG signal and the blood pressure.

[0222] 1. The correspondence between air bag pressure and blood pressure.

[0223] 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.

[0224] 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.

[0225] In some embodiments, in order to improve the accuracy of a set of blood pressure values ​​of the user obtained based on the airbag pressure, multiple sets of airbag pressures and blood pressure values ​​corresponding to the airbag pressures can be used to update the target model 1 to obtain the target model 2. Since the target model 2 is obtained by updating the target model 1 based on the multiple sets of airbag pressures and blood pressure values ​​of the user, the blood pressure value of the user obtained by the target model 2 and based on the airbag pressure is more accurate than the target model 1.

[0226] In other embodiments, when the wearable device 100 does not obtain the 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 the corresponding relationship between the airbag pressures and the blood pressures 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 corresponding relationship between the airbag pressure and the blood pressure. A set of target blood pressure values ​​includes a target systolic pressure and a target diastolic pressure.

[0227] Optionally, in order to update the accuracy of the target model 1, or to obtain the corresponding relationship 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 to obtain multiple sets of airbag pressures and blood pressure values ​​corresponding to the airbag pressures.

[0228] Figure 7A-7D FIG. 1 is a schematic diagram showing a wearable device 100 measuring a user's blood pressure.

[0229] For example, Fig. 7AAs shown, when the wearable device 100 starts to measure blood pressure, in order to ensure the accuracy of the blood pressure measurement result, the wearable device 100 can display Fig. 7A User interface 710 is shown. User interface 710 shows a prompt message "It's time to measure blood pressure. Please stay still and click to start measuring". This prompt message is used to remind the user to stay still during the blood pressure measurement process to avoid inaccurate blood pressure measurement results caused by movement. 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.

[0230] For example, Fig. 7A As shown, the wearable device 100 can receive an input operation (such as a click) from a user for a measurement reminder option in the user interface 710. In response to the input operation from the user, the wearable device 100 can display Figure 7B The user interface 720 shown. The user interface 720 includes a prompt message "Please note that the watch should be worn flush with the heart during measurement, and do not press the heart", which is used to remind the user of the correct measurement posture. The user interface 720 includes a timing option 7201, which is used to remind the user to lift the watch to a position flush with the heart within a preset time.

[0231] After the countdown time displayed by the wearable device 100 reaches 0, the wearable device 100 can start measuring the user's blood pressure.

[0232] Optionally, during the process of the wearable device 100 measuring the user's blood pressure, the wearable device 100 may display Figure 7C The user interface 730 shown includes a prompt message "Please remain still during blood pressure measurement" to prompt the user to remain still during the blood pressure measurement to avoid inaccurate blood pressure measurement results due to movement. The user interface 730 also includes a cancel measurement option, and the user can stop the blood pressure measurement by canceling the measurement option.

[0233] In some embodiments, after the wearable device 100 obtains the blood pressure monitoring value, the wearable device 100 may display Fig.7D The user interface 740 shown includes a blood pressure measurement value, which 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 740 may also include a pulse, for example, the pulse may be 69 beats per minute.

[0234] In some embodiments, the wearable device 100 may not display Figure 7A-7DThe wearable device 100 may not display the prompt information shown in the figure, and directly start measuring the user's blood pressure. Avoid frequently disturbing the user. For example, at night, the wearable device 100 may not display the prompt information shown in the figure. Figure 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.

[0235] 2. The correspondence between PPG signal and blood pressure.

[0236] 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 affecting 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.

[0237] 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.

[0238] In some embodiments, the correspondence between the PPG signal and the blood pressure may refer to a preset target model 3, which indicates the correspondence between the PPG signal and the blood pressure. For example, before the wearable device 100 leaves the factory, the wearable device 100 is pre-configured with a target model 3, or the wearable device 100 may dynamically obtain the target model 3 from the server, the input of the target model 3 may be the PPG signal measured by the wearable device 100 through the PPG module, and the output of the target model 3 may 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 may be obtained through the target model 3.

[0239] In some embodiments, in order to improve the accuracy of a set of blood pressure values ​​of the user obtained based on the PPG signal, multiple sets of PPG signals and blood pressure values ​​corresponding to the PPG signals can be used to update the target model 3 to obtain the target model 4. Since the target model 4 is obtained by updating the target model 3 based on the multiple sets of PPG signals and blood pressure values ​​of the user, the blood pressure value of the user obtained by the target model 4 and based on the PPG signal is more accurate than the target model 3.

[0240] In other embodiments, when the wearable device 100 does not obtain the target model 3, the wearable device 100 can obtain N groups of PPG signals and N groups of blood pressure values ​​corresponding to the PPG signals in real time, and obtain the corresponding relationship between the PPG signals and the blood pressure based on the N groups 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 signal and the corresponding relationship between the PPG signal and the blood pressure. A set of target blood pressure values ​​includes a target systolic pressure and a target diastolic pressure.

[0241] 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.

[0242] Optionally, the wearable device 100 may also be configured as follows: Figure 7A-7D The method shown prompts the user to measure the PPG signal and blood pressure to obtain multiple groups of PPG signals and blood pressure values ​​corresponding to the PPG signals, which will not be repeated in this application.

[0243] The above-mentioned PPG signal can be obtained by the wearable device 100 through a preset PPG module.

[0244] The PPG module in the present application may include at least one light source and at least one photodetector. Among them, at least one light source can emit light, which can be partially absorbed by the human body, and part of the light source can be reflected by the human body. At least one photodetector can receive the reflected light. And obtain a PPG signal based on the reflected light.

[0245] Figure 8A-8D Schematic diagrams of the composition structures of several PPG modules are shown.

[0246] For example, Fig. 8A As shown, the PPG module includes a processor, a light source and a photodetector.

[0247] 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 the present application.

[0248] Different lights can be emitted from the same light source, and the emission of different light sources can be achieved through time-division multiplexing.

[0249] 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 the present application. In some embodiments, the light source may be a light emitting diode (LED) or other light emitting device.

[0250] 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).

[0251] For example, when the light source emits red light, the photodetector can receive reflected red light.

[0252] When the light source emits infrared light, the photodetector can receive the reflected infrared light.

[0253] 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.

[0254] For example, Figure 8B As shown, the PPG module includes a processor, a light source, a first photodetector and a second photodetector.

[0255] 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.

[0256] Different lights can be emitted from the same light source, and the emission of different light sources can be achieved through time-division multiplexing.

[0257] The light source may emit red light, infrared light, or other light sources. In some embodiments, the light source may be a light emitting device such as a light emitting diode.

[0258] Different lights need to be received by different photodetectors. In some embodiments, the photodetector can be a receiving device such as a photodiode (PD).

[0259] For example, when the light source emits red light, the first photodetector may receive reflected red light.

[0260] When the light source emits infrared light, the second photodetector can receive reflected infrared light.

[0261] The processor can 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.

[0262] For example, Figure 8C As shown, the PPG module includes a processor, a red light source, an infrared light source and a photodetector.

[0263] Different lights need to be emitted by different light sources.

[0264] 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.

[0265] 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.

[0266] Different lights can be received by the same photodetector. In some embodiments, the photodetector can be a receiving device such as a photodiode (PD).

[0267] For example, when the red light emitting source emits red light, the photodetector can receive the reflected red light.

[0268] When the infrared light source emits infrared light, the photodetector can receive the reflected infrared light.

[0269] The processor can obtain a PPG signal based on the reflected red light collected by the photodetector and / or the reflected infrared light collected.

[0270] For example, Fig.8D As shown, the PPG module includes a processor, a red light source, an infrared light source, a first photodetector and a second photodetector.

[0271] Different lights need to be emitted by different light sources.

[0272] 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.

[0273] 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.

[0274] 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).

[0275] For example, when the red light emitting source emits red light, the first photodetector may receive reflected red light.

[0276] When the infrared light source emits infrared light, the second photodetector can receive reflected infrared light.

[0277] The processor can 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.

[0278] Above Figure 8A-8D Shows the structural schematic diagrams of several PPG modules. Figure 8A-8D It is only used to explain the present application and should not be construed as limiting.

[0279] 3. The wearable device 100 monitors sleep events and measures blood pressure based on the monitored abnormal sleep events.

[0280] 1. The wearable device 100 detects that the user is in a sleeping state.

[0281] 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.

[0282] In other embodiments, the wearable device 100 may also monitor normal sleep events in real time / periodically / irregularly, and this application does not limit this.

[0283] 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.

[0284] 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 sleeping state based on the motion data or motion trajectory.

[0285] 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.

[0286] 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.

[0287] 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 heart rate when the user is in a sleeping state is lower than that when the user is awake. The wearable device 100 can determine whether the user is in a sleeping state based on this.

[0288] It is not limited to determining whether the user is in a sleeping state based on the heart rate and other information collected by the PPG module. It is also possible to determine whether the user is in a sleeping state based on the heart rate and other information collected by other devices. This application does not limit this.

[0289] Optionally, the wearable device 100 may also determine whether the user is in a sleeping state based on time.

[0290] Generally, the user is in a sleeping state between 12:00 at night and 6:00 in the morning, and the wearable device 100 can determine whether the user is in a sleeping state based on this time period.

[0291] 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.

[0292] 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.

[0293] In some embodiments, not limited to the PPG module and the motion sensor, the wearable device can also collect ambient sound and human voice through a microphone to determine whether the user has fallen asleep. Generally, after falling asleep, the surrounding environment is relatively quiet and the user hardly speaks. When the intensity of the ambient sound is less than the preset intensity and / or the human voice is less than the preset intensity, it can be determined that the user is in a sleeping state.

[0294] In some embodiments, the wearable device can also determine whether the user is asleep by the ambient brightness collected by the optical sensor. Generally speaking, the ambient light in which the user falls asleep is dim. When the ambient brightness collected by the optical sensor is less than the preset brightness, it can be determined that the user is asleep.

[0295] In some embodiments, the wearable device can also determine whether the user is asleep through EMG electromyography, EEG electroencephalography, GSR electrocutaneous signals and other signals collected by electrodes. When the EMG electromyography, EEG electroencephalography, and GSR electrocutaneous signals meet preset conditions, it can be determined that the user is asleep.

[0296] 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.

[0297] 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, and this application does not limit this.

[0298] 2. The wearable device 100 detects a sleep event and measures the user's blood pressure.

[0299] After determining that the user is in a sleeping state, after the wearable device 100 detects a sleeping event, the wearable device 100 can measure the user's blood pressure.

[0300] Optionally, the wearable device 100 may stop measuring blood pressure after measuring blood pressure once. The wearable device 100 may also stop measuring blood pressure after measuring blood pressure multiple times based on the blood pressure result.

[0301] 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.

[0302] In some embodiments, after determining that the user is in a sleeping state, the wearable device 100 can measure the user's blood pressure after detecting an abnormal event that causes an increase in blood pressure. The abnormal event that causes an increase in blood pressure may include but is not limited to: an OSA event, a REM sleep event, and an event of increased central sympathetic nerve activity.

[0303] Optionally, for OSA events, the wearable device 100 can 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, and then based on the PPG signal and the user's personal data, when the PPG signal meets the preset conditions, the wearable device 100 can determine that an OSA event has occurred. The PPG signal may include but is not limited to heart rate, blood oxygen, and respiratory rate. The user's personal data includes but is not limited to height, weight, age, and gender.

[0304] In some embodiments, the wearable device 100 determines that the user often has OSA events at night based on a period of time in the past. After the wearable device 100 monitors that the number of sleep events is greater than a preset number, the wearable device 100 can determine that the user often has OSA events. The wearable device 100 may not measure the user's blood pressure to avoid affecting the user's rest.

[0305] Optionally, for REM sleep events, the wearable device 100 can determine that a REM sleep event has occurred based on one or more items such as the PPG signal collected by the PPG module and the user's personal data, and then based on the PPG signal and the user's personal data, when the PPG signal meets a preset condition, the wearable device 100 can determine that a REM sleep event has occurred. The PPG signal may include but is not limited to heart rate and respiratory rate, etc. The user's personal data includes but is not limited to height, weight, age, and gender, etc.

[0306] Optionally, for an event of increased central sympathetic nerve activity, the wearable device 100 may determine that an event of increased central sympathetic nerve activity occurs based on one or more items such as the PPG signal collected by the PPG module and the user's personal data, and then based on the PPG signal and the user's personal data, when the PPG signal meets a preset condition, the wearable device 100 may determine that an event of increased central sympathetic nerve activity occurs. The PPG signal may include but is not limited to heart rate, blood oxygen, and respiratory rate. The user's personal data includes but is not limited to height, weight, age, and gender.

[0307] Specifically, the wearable device 100 can determine the number of awakenings at night, the duration of NREM sleep events, and the latency of REM sleep events based on the PPG signal and the user's personal data. When the number of awakenings of the user is greater than the preset number, the duration of NREM sleep events is lower than the first value, and the latency of REM sleep events is lower than the second value, the wearable device 100 can determine that an event of increased central sympathetic nerve activity has occurred.

[0308] 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.

[0309] Optionally, for NREM sleep events, the wearable device 100 can determine that a REM sleep event has occurred based on one or more items such as the PPG signal collected by the PPG module and the user's personal data, and then based on the PPG signal and the user's personal data, when the PPG signal meets a preset condition, the wearable device 100 can determine that a REM sleep event has occurred. The PPG signal may include but is not limited to heart rate and respiratory rate, etc. The user's personal data includes but is not limited to height, weight, age, and gender, etc.

[0310] Optionally, NREM sleep events may cause a decrease in blood pressure in hypertensive users, and decreased 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 an 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.

[0311] In some embodiments, after determining that the user is in a sleeping state, the wearable device 100 can measure the user's blood pressure after simultaneously monitoring abnormal events that cause increased blood pressure and abnormal events that cause decreased blood pressure. Among them, abnormal events that cause increased blood pressure may include but are not limited to: OSA events, REM sleep events, and events of increased central sympathetic nerve activity. Abnormal events that cause decreased blood pressure may include but are not limited to: NREM sleep events.

[0312] The PPG signal collected by the PPG module is not limited to determining OSA events, REM events, NREM sleep events, and events of increased central sympathetic nerve activity. 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. This application does not limit this.

[0313] 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 obviously 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 the 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, relative to the air pressure value inflated to the first air pressure value, the user can reduce the interference of the airbag inflation-deflation process, can reduce the user's perception, and improve the user experience.

[0314] In other possible implementations, the wearable device 100 can also determine the user's blood pressure by measuring the PPG signal. Based on the above analysis, the wearable device 100 can obtain the correspondence between the PPG signal and the blood pressure. The wearable device 100 can measure the real-time PPG signal through the PPG module, and the wearable device 100 can obtain the real-time blood pressure value based on the real-time PPG signal and the correspondence between the PPG signal and the blood pressure. In this way, the user's blood pressure is obtained by measuring the PPG signal, and the user is unaware of the whole process, which improves the user experience.

[0315] 3. After the wearable device 100 detects abnormal blood pressure, it can remind the user to pay attention to the abnormal blood pressure by means of an alarm.

[0316] 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.

[0317] Abnormal blood pressure can include abnormal diastolic pressure and abnormal systolic pressure.

[0318] Abnormal diastolic pressure may refer to that the real-time diastolic pressure measured by the wearable device 100 is greater than the maximum value of the normal diastolic pressure and exceeds the first threshold, or the real-time diastolic pressure measured by the wearable device 100 is less than the minimum value of the normal diastolic pressure and is lower than the first threshold.

[0319] Abnormal systolic pressure may refer to that the real-time systolic pressure measured by the wearable device 100 is less than the minimum value of the normal diastolic pressure and is lower than the second threshold value. Alternatively, the real-time systolic pressure measured by the wearable device 100 is greater than the maximum value of the normal systolic pressure and exceeds the second threshold value.

[0320] In one possible implementation, after the wearable device 100 monitors abnormal blood pressure, or after monitoring abnormal blood pressure for a first consecutive period of time, or after monitoring abnormal blood pressure M consecutive times, the wearable device 100 can wake up the user through one or more methods such as vibration, voice prompts, flashing lights, etc. to remind the user to pay attention to the abnormal blood pressure.

[0321] 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 a communication connection is established, to remind the user to pay attention to the abnormal blood pressure.

[0322] 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 send a first message to the device of a previously bound relative (for example, the electronic device 200), where the first message is used by the electronic device 200 to prompt the user that the current blood pressure of the user wearing the wearable device 100 is abnormal, and please pay attention to the blood pressure of the user wearing the wearable device 100.

[0323] 4. The wearable device 100 stops measuring the user's blood pressure.

[0324] 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.

[0325] 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.

[0326] In other embodiments, after a sleep event is monitored, 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, and the wearable device 100 stops measuring the user's blood pressure.

[0327] In other embodiments, after detecting a sleep event, the wearable device 100 may continuously monitor the user's blood pressure within a first time period. After exceeding the first time period, the wearable device 100 stops measuring the user's blood pressure regardless of whether the sleep event disappears.

[0328] In some embodiments, after a sleep event is detected, 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.

[0329] 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.

[0330] 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.

[0331] 5. The wearable device 100 displays the blood pressure measurement result.

[0332] 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.

[0333] Optionally, the wearable device 100 can automatically display the nighttime blood pressure measurement results after determining that the user has switched 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.

[0334] Optionally, the wearable device 100 can determine whether the user is in a wakeful state based on motion data collected by a preset motion sensor.

[0335] 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.

[0336] 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 in the awake state. The wearable device 100 can determine whether the user is in an awake state based on this.

[0337] 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.

[0338] Generally, when a user is awake, the user's activities are relatively 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.

[0339] Optionally, the wearable device 100 may also determine whether the user is awake based on time.

[0340] 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.

[0341] 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.

[0342] Figure 9A-9I FIG. 4 is a schematic diagram showing a wearable device 100 displaying a blood pressure measurement result.

[0343] 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 Fig. 9A The user interface 910 shown includes blood pressure measurement values, which 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 also include a pulse, for example, the pulse may be 69 times per minute. The high pressure displayed in the user interface 910 may be the average systolic pressure at night, and the low pressure displayed in the user interface 910 may be the average diastolic pressure at night.

[0344] 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.

[0345] In some embodiments, after the wearable device 100 obtains the nighttime blood pressure, the wearable device 100 may display Fig. 9BThe user interface 920 shown is similar to the user interface 910, except that the 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 can also store the blood pressure monitoring values ​​of different users in isolation, so as to facilitate viewing the nighttime blood pressure of the same user within a certain period of time.

[0346] 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.

[0347] For example, Fig. 9C As shown, the wearable device 100 can display a user interface 930, which is similar to the user interface 910, except that the user interface 930 includes a sleep event identifier, such as an "OSA event" identifier, to prompt the user of the sleep event associated with the current nighttime blood pressure. When the OSA event shown in the user interface 930 occurs, the average high pressure measured by the wearable device 100 is 130 mmHg, the average low pressure measured by the wearable device 100 is 80 mmHg, and the pulse measured by the wearable device 100 is 69 beats per minute.

[0348] Optionally, after the wearable device 100 determines that the user has switched from a sleeping state to an awake state, if an OSA event is detected in the previous night, the OSA event may cause an increase in daytime blood pressure. The wearable device 100 can 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 can also prompt the user that an OSA event was detected in the previous night, and please continue to monitor the user's blood pressure during the day and the user's nighttime blood pressure during the next adjacent night.

[0349] Optionally, the wearable device 100 may also receive the nighttime blood pressure corresponding to other sleep events viewed by the user.

[0350] For example, Fig.9D As shown, the wearable device 100 can receive a sliding operation (eg, a right sliding operation) performed by a user on the user interface 930. In response to the sliding operation of the user, the wearable device 100 can display Fig.9E The user interface 940 shown 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 nighttime blood pressure. When the NREM sleep event shown in the user interface 940 occurs, the average high pressure measured by the wearable device 100 is 112 mmHg, the average low pressure measured by the wearable device 100 is 75 mmHg, and the pulse measured by the wearable device 100 is 86 beats per minute.

[0351] 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., and the present application does not limit this.

[0352] In some embodiments, the wearable device 100 can save the nighttime blood pressure within a first time period (e.g., seven days), and delete the nighttime blood pressure beyond the first time period to save storage space of the wearable device 100.

[0353] Optionally, the wearable device 100 may also receive a user operation to view the user's nighttime blood pressure during the first time period.

[0354] Exemplarily, the first time period may be seven days.

[0355] like Fig.9F As shown, after the wearable device 100 receives the blood pressure monitoring value, the wearable device 100 can display Fig.9F User interface 950 is shown. User interface 950 is similar to user interface 910. The difference is that user interface 950 also includes icon 9501, which is used to display nighttime blood pressure within seven days.

[0356] The wearable device 100 can receive an input operation (e.g., a click) from a user on an icon 9501 in the user interface 950. In response to the input operation from the user, the wearable device 100 can obtain the blood pressure monitoring value of the user within a certain period of time and display the blood pressure value. Figure 9G User interface 960 is shown.

[0357] The user interface 960 includes a graphic display area for nighttime blood pressure within seven days. The graphic display area includes a high pressure monitoring value curve within seven days and a low pressure monitoring value curve within seven days. Through the graphic display area, the user's nighttime blood pressure change trend within seven days can be intuitively viewed.

[0358] 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.

[0359] In some embodiments, the wearable device 100 may also receive a user operation to view the nighttime blood pressure of different users in the first time period.

[0360] refer to Fig.9F As described in , after the wearable device 100 obtains the blood pressure monitoring value, the wearable device 100 can display Fig.9F User interface 950 is shown.

[0361] The wearable device 100 may receive an input operation from a user on an icon 9501 in the user interface 950. In response to the input operation from the user, the wearable device 100 may display Figure 9H The selection bar 9502 is shown. The selection bar 9502 shows multiple options for different test objects. For example, the multiple test objects include but are not limited to the test object "AAAA", the test object "BBBB", the test object "Lisa", the test object "Lucy", etc. The user can select any test object and start to view the nighttime blood pressure of the test object in the first time period.

[0362] like Figure 9H As shown, the wearable device 100 can receive an input operation (e.g., a click) from a user for the option "Lucy" of the detection object in the selection bar 9502. In response to the input operation from the user, the wearable device 100 can obtain the blood pressure monitoring value of the detection object "Lucy" in the first time period and display the blood pressure monitoring value of the detection object "Lucy". Fig.9I User interface 970 is shown. User interface 970 is similar to user interface 960, except that user interface 970 includes a prompt message "Lucy's nighttime blood pressure in 7 days" to prompt that the high pressure monitoring value curve and the low pressure monitoring value curve shown in user interface 970 are the nighttime blood pressure of the detection subject "Lucy" in 7 days.

[0363] 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.

[0364] 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.

[0365] In other embodiments, the nighttime blood pressure of different users in the first time period stored on the wearable device 100 may be sent to the wearable device 100 periodically / irregularly / at certain intervals by other electronic devices. After the user's authorization, the other electronic devices may send the stored nighttime blood pressure of the user to the wearable device 100 periodically / irregularly / at certain intervals, so that the wearable device 100 can store the nighttime blood pressure of different users in the first time period, which is convenient for the user using the wearable device 100 to view the nighttime blood pressure of other authorized users and different users in 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 parents or children of the user using the wearable device 100. Then, after the wearable device 100 obtains the nighttime blood pressure of the parents or children in the first time period, the user using the wearable device 100 can view the nighttime blood pressure of other authorized users in the first time period, so as to facilitate the supervision of the nighttime blood pressure of family members.

[0366] 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 time 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 effect of 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 effect of antihypertensive drugs on the user's nighttime blood pressure.

[0367] In some embodiments, the wearable device 100 can also measure the user's daytime blood pressure. After monitoring that the user's daytime blood pressure is abnormal, the user is prompted to record the user's recent activity events.

[0368] Among them, abnormal daytime blood pressure may include abnormally high daytime blood pressure and abnormally low daytime blood pressure.

[0369] Figures 10A-10E A schematic diagram showing the wearable device 100 prompting the user to record the most recently performed activity event after detecting abnormally high daytime blood pressure.

[0370] In some embodiments, the wearable device 100 can determine that the daytime blood pressure is abnormally high based on the previous M blood pressure detection values.

[0371] 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.

[0372] 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 ​​in the previous N days.

[0373] For example, Fig. 10A As shown, the wearable device 100 displays a user interface 1010, and the blood pressure measurement value is shown in the user interface 1010. The blood pressure measurement value may include high pressure and low pressure. For example, the high pressure may be 142 mmHg, the low pressure may be 88 mmHg, and the pulse may be 76 beats per minute. The user interface 1010 also includes a record activity option, which is used for the user to record the most recently performed activity events.

[0374] 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.

[0375] For example, Fig. 10A As shown, the wearable device 100 can receive an input operation (such as a click) from a user for a record activity option in the user interface 1010. In response to the input operation from the user, the wearable device 100 can display Fig. 10B The user interface 1020 shown. A plurality of different activity events are shown in the user interface 1020, such as a meal event, a housework event, a sports event, an emotional fluctuation event, etc. The user can also slide the user interface 1020 to view other more undisplayed activity events.

[0376] For example, Fig. 10B As shown, the wearable device 100 can receive a sliding operation (such as an upward sliding operation) performed by a user on the user interface 1020. In response to the sliding operation of the user, the wearable device 100 can display Fig. 10C The user interface 1030 shown shows other activity events, such as a drinking event, a tea drinking event, an ambient temperature drop event, and other events.

[0377] 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 .

[0378] For example, Fig. 10D As shown, the wearable device 100 can receive an input operation (such as a click) from a user for an emotion fluctuation event option in the user interface 1020. In response to the input operation from the user, the wearable device 100 can display Fig.10EUser interface 1040 is shown. User interface 1040 includes a prompt message "When emotions fluctuate violently (such as anger, panic, etc.), blood pressure may change accordingly. It is recommended that you control your emotions appropriately and relax your mind." This prompt message is used to remind the user that violent emotional fluctuations may cause blood pressure to rise, and to avoid emotional fluctuations to keep blood pressure within a normal range.

[0379] Figures 11A-11E A schematic diagram showing the wearable device 100 prompting the user to record the most recently performed activity event after detecting abnormally low daytime blood pressure.

[0380] In some embodiments, the wearable device 100 can determine that the daytime blood pressure is abnormally low based on the previous M blood pressure detection values.

[0381] In other embodiments, the wearable device 100 may determine that the daytime blood pressure is abnormally low based on the average value of the blood pressure detection values ​​within the day.

[0382] In other embodiments, the wearable device 100 may determine that the daytime blood pressure is abnormally low based on the average of the blood pressure detection values ​​in the previous N days.

[0383] For example, Fig.11A As shown, the wearable device 100 displays a user interface 1110, and the blood pressure measurement value is shown in the user interface 1110. The blood pressure measurement value may include high pressure and low pressure. For example, the high pressure may be 122 mmHg, the low pressure may be 72 mmHg, and the pulse may be 76 beats per minute. The user interface 1110 also includes a record activity option, which is used for the user to record the most recently performed activity event.

[0384] 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.

[0385] For example, Fig.11A As shown, the wearable device 100 may receive an input operation (eg, a click) from a user for a record activity option in the user interface 1110. In response to the input operation from the user, the wearable device 100 may display Fig. 11B The user interface 1120 shown. A plurality of different activity events are shown in the user interface 1120, such as a medication event, a sleep event, a quiet rest event, an emotion calming event, etc. The user can also slide the user interface 1120 to view other more undisplayed activity events.

[0386] For example, Fig. 11B As shown, the wearable device 100 can receive a sliding operation (such as an upward sliding operation) performed by a user on the user interface 1120. In response to the sliding operation of the user, the wearable device 100 can display Fig. 11C The user interface 1130 shown shows other activity events, such as an ambient temperature rise event and other events.

[0387] The user may select one or more activity events in user interface 1120 and / or user interface 1130 that cause abnormally low blood pressure of the user.

[0388] For example, Fig.11D As shown, the wearable device 100 can receive a user input operation (such as a single click) for the calming emotional event option in the user interface 1120. In response to the user input operation, the wearable device 100 can display Fig.11E The user interface 1140 shown in FIG. The user interface 1140 includes a prompt message “Physical relaxation and emotional comfort are helpful to maintain physical health, and emotions such as anger and tension may cause blood pressure to rise.” This prompt message is used to remind the user to calm down to prevent blood pressure fluctuations.

[0389] The above are only some embodiments and implementation methods of the present application, and the protection scope of the present application is not limited thereto. Any changes or substitutions that can be easily thought of by any person skilled in the art within the technical scope disclosed in the present application should be included in the protection scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.

[0390] It is understandable that the various user interfaces described in the embodiments of the present application are only example interfaces and do not limit the present application scheme. In other embodiments, the user interface may adopt a different interface layout, may include more or fewer controls, and may increase or decrease other functional options, as long as they are based on the same inventive concept provided by the present application, they are all within the scope of protection of the present application.

[0391] 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.

[0392] As described above, the above embodiments are only used to illustrate the technical solutions of the present application, rather than to limit them. Although the present application has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of the present application.

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. When the processor executes and calls the computer program, the wearable device executes the method described in any one of claims 1 to 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.

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