WO2021129209A1

WO2021129209A1 - Method and apparatus for improving sleep quality, and smart wearable device

Info

Publication number: WO2021129209A1
Application number: PCT/CN2020/128067
Authority: WO
Inventors: 黄晓萍
Original assignee: 华为技术有限公司
Priority date: 2019-12-25
Filing date: 2020-11-11
Publication date: 2021-07-01
Also published as: CN111001073A

Abstract

A method and apparatus for improving sleep quality, and a smart wearable device. The method comprises: after a user falls asleep, monitoring sleep stages of the user (401); after the user is monitored to enter a deep sleep stage, obtaining the movement intensity of the user in a non-sleep time period (402); if the movement intensity of the user is greater than or equal to a predetermined movement intensity threshold, notifying an audio playback device to play a deep sleep brainwave audio to induce brainwave resonance of the user and prolong a deep sleep time length (403), so as to enable the body of the user to get enough rest; in addition, after the user is monitored to enter a rapid eye movement stage, obtaining the magnitude of mental stress of the user in the non-sleep time period (501); if the magnitude of mental stress of the user is greater than or equal to a predetermined mental stress value, notifying the audio playback device to play a brainwave audio that stimulates the rapid eye movement stage to extend the rapid eye movement stage (502), so as to relieve the mental stress of the user.

Description

Method, device and smart wearable device for improving sleep quality

This application claims the priority of a Chinese patent application filed with the Chinese Patent Office on December 25, 2019, the application number is 201911360563.0, and the invention title is "Methods, Devices and Smart Wearable Devices for Improving Sleep Quality", the entire contents of which are incorporated by reference In this application.

Technical field

This application relates to the field of artificial intelligence technology, and in particular to a method, device and smart wearable device for improving sleep quality.

Background technique

Figure 1 is a schematic diagram of the current state of sleep problems in the prior art. As shown in Figure 1, with the current anxiety caused by social pressure and irregular work and rest caused by the abundance of electronic products, more than 67% of people do not have enough deep sleep , And deep sleep is very important for the recovery of mental and physical strength, so long-term lack of deep sleep will cause the user's energy and physical strength to fail to recover in time, thereby affecting physical and mental health. How to increase the proportion of deep sleep has become an urgent need for users.

Figure 2 is a schematic diagram of human brain waves in different states in the prior art. As shown in Figure 2, the human brain waves are at 0.5-4 Hz during deep sleep. At present, there are relaxation methods such as mindfulness, meditation and/or brainwave music, which claim to improve the quality of deep sleep, but they are all relatively vague ways of affecting the quality of deep sleep.

Summary of the invention

This application provides a method, device and smart wearable device for improving sleep quality. This application also provides a computer-readable storage medium to extend the user’s deep sleep period and rapid eye movement period, and effectively relieve the user’s physical fatigue and Mental stress and fatigue.

In the first aspect, this application provides a method for improving sleep quality, including:

After the user falls asleep, monitor the user's sleep stage; wherein the above-mentioned sleep stage can be calculated by the principles of heart rate variability, body movement, and cardiopulmonary coupling;

After monitoring that the user enters the deep sleep period, obtain the exercise intensity of the user during the non-sleep period; specifically, the smart wearable device can monitor whether the user is in a sleep state, so the smart wearable device can obtain the user’s Sleep time and non-sleep time;

If the exercise intensity of the user is greater than or equal to the predetermined exercise intensity threshold, the audio playback device is notified to play the deep sleep brain wave audio to trigger the user’s brain wave resonance and prolong the deep sleep duration; wherein, the predetermined exercise intensity above The threshold may be set by itself according to system performance and/or implementation requirements during specific implementation. This embodiment does not limit the size of the foregoing predetermined exercise intensity threshold. For example, the foregoing predetermined exercise intensity threshold may be a medium exercise intensity; The audio playback device may be a mobile terminal used by the user, such as a smart phone or a tablet computer; or, the audio playback device may be a smart speaker used by the user. This embodiment does not limit the specific form of the audio playback device; It should be noted that the aforementioned deep-sleep brainwave audio may include brainwave music or electromagnetic brainwaves, etc. The specific form of the aforementioned deep-sleep brainwave audio is not limited in this embodiment.

In the above method for improving sleep quality, after the user falls asleep, the sleep stage of the user is monitored, and after monitoring that the user enters the deep sleep period, the exercise intensity of the user during the non-sleep period is obtained, if the user’s exercise If the intensity is greater than or equal to the predetermined exercise intensity threshold, the audio playback device is notified to play the deep sleep brainwave audio to trigger the user's brainwave resonance, prolong the deep sleep duration, and allow the user's body to be fully rested.

In one of the possible implementation manners, after monitoring the sleep stages of the user, the method further includes:

After monitoring that the user enters the rapid eye movement period, acquiring the amount of mental stress of the user during the non-sleep time period;

If the magnitude of the user's mental stress is greater than or equal to a predetermined mental stress value, the audio playback device is notified to play brain wave audio that stimulates the rapid eye movement period, so as to extend the user's rapid eye movement period.

Wherein, the aforementioned predetermined mental stress value can be set according to system performance and/or implementation requirements during specific implementation, and this embodiment does not limit the magnitude of the aforementioned predetermined mental stress value.

The audio playback device may be a mobile terminal used by the user, such as a smart phone or a tablet; or, the audio playback device may be a smart speaker used by the user. This embodiment does not limit the specific form of the audio playback device.

It should be noted that the brain wave audio for stimulating the REM period may include brain wave music or electromagnetic brain waves, etc. The specific form of the brain wave audio for stimulating the REM period is not limited in this embodiment.

In the above method for improving sleep quality, after the user falls asleep, the sleep stage of the user is monitored, and after monitoring that the user enters the rapid eye movement period, the amount of mental stress of the user during the non-sleep time period is obtained, if If the mental pressure of the user is greater than or equal to the predetermined mental pressure value, the audio playback device is notified to play brain wave audio that stimulates the rapid eye movement period, so as to prolong the rapid eye movement period of the user, so that the user’s mental pressure can be obtained. Soothing.

In one of the possible implementation manners, the obtaining the exercise intensity of the user during the non-sleep time period includes:

Obtain the heart rate data and/or exercise state of the user in the non-sleep time period recorded by the smart wearable device, and determine the user’s heart rate data and/or exercise state in the non-sleep time period according to the user’s heart rate data and/or exercise state in the non-sleep time period Exercise intensity. The above-mentioned heart rate data may be detected and obtained by a heart rate sensor in the above-mentioned smart wearable device, and the above-mentioned exercise state may be detected and obtained by a motion sensor in the above-mentioned smart wearable device.

Obtain the fatigue degree of the user during the non-sleep time period, and determine the exercise intensity of the user during the non-sleep time period according to the fatigue degree; wherein the fatigue degree of the user during the non-sleep time period is measured by a fatigue questionnaire , Voice recognition or face recognition.

In one of the possible implementation manners, the obtaining the magnitude of the mental stress of the user during the non-sleep time period includes:

Obtain the amount of mental stress of the user during the non-sleep time period measured by a stress scale; or,

Obtain the heart rate variability of the user during the non-sleep time period, and determine the level of mental stress of the user during the non-sleep time period according to the heart rate variability; wherein, the heart rate variability is determined by the user It is measured by the heart rate sensor in the wearable smart wearable device.

In one possible implementation manner, the monitoring of the sleep stages of the user includes:

Monitor the sleep stages of the user through a smart wearable device; or,

Monitor the sleep stages of the user through non-contact ultrasonic waves or broadband radar waves; or,

The sleep stage of the user is monitored through a piezoelectric sensor sleep mattress or a light sensor sleep mattress.

Among them, the above-mentioned smart wearable device is provided with a heart rate sensor, and in addition, a motion sensor and other sensors may also be provided. The above-mentioned smart wearable device may be a smart bracelet or smart watch. This embodiment does not limit the form of the above-mentioned smart wearable device. .

In the second aspect, an embodiment of the present application provides a device for improving sleep quality, including:

The monitoring module is used to monitor the sleep stages of the user after the user falls asleep;

An acquiring module, configured to acquire the exercise intensity of the user during the non-sleep period after the monitoring module monitors that the user enters a deep sleep period;

The notification module is used to notify the audio playback device to play deep sleep brain wave audio when the exercise intensity of the user is greater than or equal to a predetermined exercise intensity threshold to trigger the user's brain wave resonance and prolong the deep sleep duration.

In one of the possible implementations, the acquiring module is further configured to acquire the level of mental stress of the user during the non-sleep time period after the monitoring module detects that the user enters the rapid eye movement period ；

The notification module is further configured to notify the audio playback device to play brain wave audio that stimulates the rapid eye movement period when the user's mental stress is greater than or equal to a predetermined mental stress value, so as to prolong the user's mental stress. Rapid eye movement period.

In one of the possible implementations, the acquisition module is specifically configured to acquire the heart rate data and/or exercise state of the user during the non-sleep time period recorded by the smart wearable device, according to the user's non-sleep time period The heart rate data and/or exercise state determine the exercise intensity of the user during the non-sleep time period.

In one of the possible implementations, the acquiring module is specifically configured to acquire the fatigue level of the user during the non-sleep time period, and determine the exercise intensity of the user during the non-sleep time period according to the fatigue level; wherein, The fatigue of the user during the non-sleeping time period is obtained through a fatigue questionnaire, voice recognition or face recognition.

In one of the possible implementation manners, the acquiring module is specifically configured to acquire the amount of mental stress of the user during the non-sleep time period measured by a pressure gauge; or,

In a third aspect, an embodiment of the present application provides a smart wearable device, including:

One or more processors; memory; multiple application programs; and one or more computer programs, wherein the one or more computer programs are stored in the memory, and the one or more computer programs include instructions, When the instruction is executed by the device, the device is caused to perform the following steps:

After the user falls asleep, monitor the sleep stages of the user;

After monitoring that the user enters the deep sleep period, acquiring the exercise intensity of the user during the non-sleep period;

If the exercise intensity of the user is greater than or equal to the predetermined exercise intensity threshold, the audio playback device is notified to play the deep sleep brain wave audio to trigger the user's brain wave resonance and prolong the deep sleep duration.

In one possible implementation manner, when the instruction is executed by the device, the device further executes the following steps after executing the step of monitoring the sleep staging of the user:

In one of the possible implementation manners, when the instruction is executed by the device, causing the device to execute the step of obtaining the exercise intensity of the user during the non-sleep time period includes:

Obtain the heart rate data and/or exercise state of the user in the non-sleep time period recorded by the smart wearable device, and determine the user’s heart rate data and/or exercise state in the non-sleep time period according to the user’s heart rate data and/or exercise state in the non-sleep time period Exercise intensity.

In one of the possible implementation manners, when the instruction is executed by the device, causing the device to execute the step of obtaining the magnitude of the user's mental stress during the non-sleep time period includes:

It should be understood that the second to third aspects of the present application are consistent with the technical solutions of the first aspect of the present application, and the beneficial effects achieved by each aspect and the corresponding feasible implementation manners are similar, and will not be repeated.

In a fourth aspect, the present application provides a computer-readable storage medium in which a computer program is stored, which when running on a computer, causes the computer to execute the method as described in the first aspect.

In a fifth aspect, this application provides a computer program, which is used to execute the method described in the first aspect when the computer program is executed by a computer.

In a possible design, the program in the fifth aspect may be stored in whole or in part on a storage medium that is packaged with the processor, and may also be stored in part or in a memory that is not packaged with the processor.

Description of the drawings

Figure 1 is a schematic diagram of the current state of sleep problems in the prior art;

Figure 2 is a schematic diagram of brain waves of a person in different states in the prior art;

Figure 3 (a) ~ (c) are schematic diagrams of a solution for improving sleep quality provided in the prior art;

FIG. 4 is a flowchart of an embodiment of a method for improving sleep quality according to this application;

FIG. 5 is a flowchart of another embodiment of the method for improving sleep quality according to this application;

Fig. 6 is a schematic structural diagram of an embodiment of a device for improving sleep quality according to the present application;

FIG. 7 is a schematic structural diagram of an embodiment of a smart wearable device of this application.

Detailed ways

The terms used in the implementation mode of this application are only used to explain specific embodiments of this application, and are not intended to limit this application.

The prior art provides a solution for improving sleep quality through smart wearable devices. Figures 3(a)～(c) are schematic diagrams of a solution for improving sleep quality provided in the prior art, see Figure 3(a)～ (c). In the above scheme, the heart rate is detected by wearing a wearable heart rate sensor on the wrist, and the brain wave frequency (waking state, sleeping state) is detected by attaching the brain wave to the forehead, and the heart rate and brain wave frequency are combined to judge. Setting music with a rhythm slightly lower than the detected heart rate signal when not in sleep can help guide the user to sleep quickly; when it detects that the user is in sleep, stop playing hypnotic music. During sleep, if an abnormal heart rate or nightmare state is detected, the user will be awakened; and in the morning during non-deep sleep phases.

However, the above solutions mainly deal with the abnormally poor sleep, and do not detect the deep sleep state, nor provide a solution to extend the deep sleep period. Increasing the length of deep sleep is the key to improving the quality of sleep.

The prior art provides another solution to improve the quality of sleep. The physiological information of the human body is obtained, and the mental state of the human body is judged according to the physiological information. When it is judged that the human body state is a sleep state (equivalent to a deep sleep state), the frequency The difference between the first hypnotic sub-sound wave and the second hypnotic sub-sound wave of 0.5 Hz to 3 Hz makes the brain waves with a frequency of 0.5 Hz to 3 Hz in the human brain to maintain a dominant position, allowing the body to maintain sleep.

However, in the above scheme, the distinction between human states is very rough, and it is only divided into two major states of awake and sleep, so the effect of this scheme on improving sleep quality is relatively poor.

This application provides a method for improving the quality of sleep. The smart wearable device (the smart wearable device is equipped with a heart rate sensor, in addition, can also be equipped with sensors such as motion sensors), to identify the user's exercise intensity, pressure level and sleep stage (sleep latency , Deep sleep period, light sleep period and rapid eye movement period), combined with the user’s daytime behavior and physical condition, targeted interventions in different sleep stages at night to improve the user’s physical and mental health.

This application can accurately cut into the deep sleep period and the rapid eye movement period by combining the actual physical and mental fatigue of the user.

In this application, sleep stages include sleep latency, deep sleep, light sleep, and rapid eye movement periods, where:

·Sleep latency: mainly to guide falling asleep and hypnosis;

·Light sleep period: When waking up in the morning, if you choose to wake up the user in the light sleep phase, the user will not feel tired and uncomfortable, but will feel more relaxed;

·Deep sleep period (body repair period): At this stage, the body relaxes, blood pressure drops, breathing is more regular, the brain is not sensitive to the outside world, and the pituitary gland releases growth hormone to stimulate tissue growth and muscle repair, which is the key to repairing the body Period. If the user's daytime activity is detected through the smart wearable device, the time of deep sleep should be appropriately extended during sleep to allow the body to rest fully.

·Rapid eye movement period (mental repair period): At this stage, the muscles relax, but the brain becomes active, dreaming and various information reorganization, the brain will clear irrelevant information, by connecting the past 24 hours and previous experience to enhance memory and promote Learning and nerve growth, mental fatigue is repaired. If the user's mental stress during the day is detected through the smart wearable device, the REM period can be appropriately extended during sleep, so that the spirit can be fully rested and the stress relieved.

The method for improving sleep quality provided by the present application monitors the user's accumulated exercise intensity and mental stress during the day through a smart wearable device (the smart wearable device is provided with a heart rate sensor, and in addition, a sensor such as a motion sensor can also be provided).

If the user's exercise intensity during the day is too high (through exercise heart rate monitoring, exercise intensity can be calculated), monitor the sleep stage at night (calculated through the principle of heart rate variability, body movement and cardiopulmonary coupling), and monitor the user's entry During the deep sleep period, play the deep sleep delta wave (0.5Hz-4Hz) music through the peripheral mobile phone or audio equipment, which triggers the user's brain wave resonance and prolongs the deep sleep period, so that the user's body can be fully rested.

If it is detected that the user’s mental stress during the day is too high (the amount of mental stress can be calculated through the heart rate variability), monitor the sleep stage at night (the principle is the same as above), and when the user enters the rapid eye movement phase, use brain waves Audio or other electromagnetic stimulation methods extend the duration of the rapid eye movement period, so that mental stress is relieved.

FIG. 4 is a flowchart of an embodiment of a method for improving sleep quality in this application. As shown in FIG. 4, the above method for improving sleep quality may include:

Step 401: After the user falls asleep, monitor the sleep stages of the user.

Among them, the above-mentioned sleep stage can be calculated by the principles of heart rate variability, body movement, and cardiopulmonary coupling.

Specifically, monitoring the sleep stages of the above-mentioned user may be as follows:

Monitor the sleep stages of the above-mentioned users through smart wearable devices; or,

Monitor the sleep stages of the above-mentioned users through non-contact ultrasonic or broadband radar waves; or,

The sleep stage of the user is monitored by piezoelectric sensor sleep mattress or light sensor sleep mattress.

Step 402: After monitoring that the user enters the deep sleep period, obtain the exercise intensity of the user during the non-sleep time period.

Specifically, the smart wearable device can monitor whether the user is in a sleep state, so the sleep period and the non-sleep period of the user can be obtained through the smart wearable device.

In a possible implementation, the exercise intensity of the user during the non-sleep time period can be obtained through the heart rate sensor and/or the motion sensor in the above-mentioned smart wearable device; in a specific implementation, the exercise intensity of the user during the non-sleep time period can be obtained. The intensity can be:

Obtain the heart rate data and/or exercise state of the user during the non-sleep time period recorded by the smart wearable device, and determine the exercise intensity of the user during the non-sleep time period according to the heart rate data and/or exercise state of the user during the non-sleep time period.

The above-mentioned heart rate data may be detected and obtained by a heart rate sensor in the above-mentioned smart wearable device, and the above-mentioned exercise state may be detected and obtained by a motion sensor in the above-mentioned smart wearable device.

For example, assuming that the maximum heart rate of the user during the non-sleeping period is 60% to 70%, the duration of the maximum heart rate reaches 1 hour, then it can be determined that the exercise intensity of the user during the non-sleeping period reaches a moderate exercise intensity. Maximum heart rate (220-user age); or, assuming that the exercise state of the above user during the non-sleep period is jogging or brisk walking for 1 hour, it can also be determined that the exercise intensity of the above user during the non-sleep period reaches a moderate exercise intensity .

Of course, it is also possible to combine heart rate data and exercise status. Assume that the user’s heart rate during the non-sleeping period is 60% to 70% of the maximum heart rate for one hour, and during this one hour, the exercise state of the user is Jogging or fast walking, it can be determined that the exercise intensity of the user during the non-sleep time period reaches a moderate exercise intensity.

In another possible implementation manner, acquiring the exercise intensity of the user during the non-sleeping time period may be: acquiring the fatigue degree of the user during the non-sleeping time period, and determining the exercise intensity of the user during the non-sleeping time period according to the fatigue degree. ; Among them, the user's fatigue in the non-sleeping time period can be obtained through a fatigue questionnaire, voice recognition or face recognition.

Step 403: If the exercise intensity of the user is greater than or equal to the predetermined exercise intensity threshold, the audio playback device is notified to play the deep sleep brainwave audio to trigger the brainwave resonance of the user and prolong the deep sleep duration.

Wherein, the foregoing predetermined exercise intensity threshold can be set according to system performance and/or implementation requirements during specific implementation. This embodiment does not limit the size of the foregoing predetermined exercise intensity threshold. For example, the foregoing predetermined exercise intensity The threshold can be a moderate exercise intensity.

It should be noted that the aforementioned deep-sleep brainwave audio may include brainwave music or electromagnetic brainwaves, etc. The specific form of the aforementioned deep-sleep brainwave audio is not limited in this embodiment.

In the above method for improving sleep quality, after the user falls asleep, the sleep stage of the user is monitored, and after monitoring that the user enters the deep sleep period, the exercise intensity of the user during the non-sleep period is obtained. If the user’s exercise is If the intensity is greater than or equal to the predetermined exercise intensity threshold, the audio playback device is notified to play the deep sleep brainwave audio to trigger the user's brainwave resonance, prolong the deep sleep duration, and allow the user's body to be fully rested.

FIG. 5 is a flowchart of another embodiment of a method for improving sleep quality according to the present application. As shown in FIG. 5, in the embodiment shown in FIG. 4 of the present application, after step 401, the method may further include:

Step 501: After monitoring that the user enters the rapid eye movement period, obtain the amount of mental stress of the user during the non-sleep time period.

Specifically, obtaining the magnitude of the mental stress of the user during the non-sleep time period may be:

Obtain the amount of mental stress of the user during the non-sleep time period measured by the stress scale; or,

Obtain the heart rate variability of the user during the non-sleep time period, and determine the mental stress of the user during the non-sleep time period according to the heart rate variability; wherein, the heart rate variability can be measured by the smart wearable device worn by the user Measured by the heart rate sensor.

Step 502: If the mental stress of the user is greater than or equal to a predetermined mental stress value, notify the audio playback device to play brain wave audio that stimulates the rapid eye movement period, so as to prolong the rapid eye movement period of the user.

Wherein, the aforementioned predetermined mental stress value can be set by itself according to system performance and/or implementation requirements during specific implementation, and this embodiment does not limit the magnitude of the aforementioned predetermined mental stress value.

It can be understood that some or all of the steps or operations in the above-mentioned embodiments are only examples, and the embodiments of the present application may also perform other operations or various operation modifications. In addition, each step may be executed in a different order presented in the foregoing embodiment, and it may not be necessary to perform all operations in the foregoing embodiment.

FIG. 6 is a schematic structural diagram of an embodiment of an apparatus for improving sleep quality in this application. As shown in FIG. 6, the above-mentioned apparatus 60 for improving sleep quality may include: a monitoring module 61, an acquisition module 62, and a notification module 63; it should be understood that, The device 60 for improving sleep quality may correspond to the smart wearable device 900 of FIG. 7. Among them, the functions of the monitoring module 61, the obtaining module 62, and the notification module 63 can be implemented by the processor 910 in the smart wearable device 900 shown in FIG. 7.

Wherein, the monitoring module 61 is used to monitor the sleep stages of the above-mentioned user after the user falls asleep;

The obtaining module 62 is configured to obtain the exercise intensity of the user during the non-sleep period after the monitoring module 61 detects that the user enters a deep sleep period;

The notification module 63 is configured to notify the audio playback device to play deep sleep brainwave audio when the exercise intensity of the user is greater than or equal to a predetermined exercise intensity threshold, so as to trigger the brainwave resonance of the user and prolong the deep sleep duration.

In one of the possible implementation manners, the obtaining module 62 is further configured to obtain the magnitude of the mental stress of the user during the non-sleep time period after the monitoring module 61 detects that the user enters the rapid eye movement period;

The notification module 63 is further configured to notify the audio playback device to play brain wave audio that stimulates the rapid eye movement period when the mental pressure of the user is greater than or equal to a predetermined mental pressure value, so as to prolong the rapid eye movement period of the user.

In one possible implementation manner, the acquisition module 62 is specifically configured to acquire the heart rate data and/or exercise state of the user during the non-sleep time period recorded by the smart wearable device, according to the heart rate data and/or the exercise state of the user during the non-sleep time period of the user. /Or the exercise state determines the exercise intensity of the user during the non-sleep time period.

In one possible implementation manner, the acquiring module 62 is specifically configured to acquire the fatigue degree of the user during the non-sleep time period, and determine the exercise intensity of the user during the non-sleep time period according to the fatigue degree; wherein, the user is in non-sleep time period; Fatigue during sleep time is obtained through fatigue questionnaire, voice recognition or face recognition.

In one of the possible implementation manners, the obtaining module 62 is specifically configured to obtain the amount of mental stress of the user during the non-sleep time period measured by the pressure gauge; or,

Obtain the heart rate variability of the user during the non-sleep time period, and determine the mental stress of the user during the non-sleep time period according to the heart rate variability; wherein the heart rate variability is determined by the heart rate in the smart wearable device worn by the user. The sensor is measured.

The device for improving sleep quality provided by the embodiment shown in FIG. 6 can be used to implement the technical solutions of the method embodiments shown in FIG. 4 and FIG. 5 of the present application. For its implementation principles and technical effects, further reference may be made to the related descriptions in the method embodiments.

It should be understood that the division of the various modules of the device for improving sleep quality shown in FIG. 6 is only a division of logical functions, and may be fully or partially integrated into one physical entity in actual implementation, or may be physically separated. And these modules can all be implemented in the form of software called by processing elements; they can also be implemented in the form of hardware; part of the modules can also be implemented in the form of software called by the processing elements, and some of the modules can be implemented in the form of hardware. For example, the acquisition module may be a separately established processing element, or it may be integrated in a certain chip of the smart wearable device for implementation. The implementation of other modules is similar. In addition, all or part of these modules can be integrated together or implemented independently. In the implementation process, each step of the above method or each of the above modules can be completed by an integrated logic circuit of hardware in the processor element or instructions in the form of software.

For example, the above modules may be one or more integrated circuits configured to implement the above methods, such as: one or more specific integrated circuits (Application Specific Integrated Circuit; hereinafter referred to as ASIC), or, one or more micro-processing Digital Processor (Digital Singnal Processor; hereinafter referred to as DSP), or, one or more Field Programmable Gate Array (Field Programmable Gate Array; hereinafter referred to as FPGA), etc. For another example, these modules can be integrated together and implemented in the form of System-On-a-Chip (hereinafter referred to as SOC).

FIG. 7 is a schematic structural diagram of an embodiment of a smart wearable device according to this application. As shown in FIG. 7, the above smart wearable device may include: one or more processors; a memory; multiple application programs; and one or more computer programs.

The above-mentioned one or more computer programs are stored in the above-mentioned memory, and the above-mentioned one or more computer programs include instructions. When the above-mentioned instructions are executed by the above-mentioned device, the above-mentioned device is caused to perform the following steps:

After the user falls asleep, monitor the sleep stages of the above-mentioned user;

After monitoring that the user enters the deep sleep period, obtain the exercise intensity of the user during the non-sleep time period;

If the exercise intensity of the user is greater than or equal to the predetermined exercise intensity threshold, the audio playback device is notified to play the deep sleep brain wave audio to trigger the brain wave resonance of the user and prolong the deep sleep duration.

In one possible implementation manner, when the above-mentioned instruction is executed by the above-mentioned device, the above-mentioned device further executes the following steps after executing the above-mentioned step of monitoring the sleep staging of the above-mentioned user:

After monitoring that the user enters the rapid eye movement period, obtain the amount of mental stress of the user during the non-sleep time period;

If the magnitude of the mental stress of the user is greater than or equal to a predetermined mental stress value, the audio playback device is notified to play brain wave audio that stimulates the rapid eye movement period, so as to prolong the rapid eye movement period of the user.

In one possible implementation manner, when the above-mentioned instruction is executed by the above-mentioned device, causing the above-mentioned device to execute the above-mentioned step of obtaining the exercise intensity of the above-mentioned user during the non-sleep time period includes:

Obtain the fatigue degree of the user during the non-sleep time period, and determine the exercise intensity of the user during the non-sleep time period according to the fatigue degree; wherein, the fatigue degree of the user during the non-sleep time period is determined by fatigue questionnaire, voice recognition or Facial recognition is obtained.

In one possible implementation manner, when the above-mentioned instruction is executed by the above-mentioned device, causing the above-mentioned device to execute the above-mentioned step of obtaining the level of mental stress of the user during the above-mentioned non-sleep time period includes:

Obtain the heart rate variability of the user during the non-sleep time period, and determine the level of mental stress of the user during the non-sleep time period according to the heart rate variability; wherein, the heart rate variability is determined by the value in the smart wearable device worn by the user The heart rate sensor is measured.

The smart wearable device shown in FIG. 7 may be a terminal device or a circuit device built in the aforementioned terminal device. The device can be used to execute the functions/steps in the methods provided in the embodiments shown in FIG. 4 and FIG. 5 of the present application.

As shown in FIG. 7, the smart wearable device 900 includes a processor 910 and a transceiver 920. Optionally, the smart wearable device 900 may further include a memory 930. Wherein, the processor 910, the transceiver 920, and the memory 930 can communicate with each other through an internal connection path to transfer control and/or data signals. The memory 930 is used to store computer programs, and the processor 910 is used to download from the memory 930. Call and run the computer program.

Optionally, the smart wearable device 900 may further include an antenna 940 for transmitting the wireless signal output by the transceiver 920.

The above-mentioned processor 910 and the memory 930 may be integrated into a processing device, and more commonly, are components independent of each other. The processor 910 is configured to execute the program code stored in the memory 930 to implement the above-mentioned functions. During specific implementation, the memory 930 may also be integrated in the processor 910, or independent of the processor 910.

In addition, in order to make the functions of the smart wearable device 900 more complete, the smart wearable device 900 may also include one or more of an input unit 960, a display unit 970, an audio circuit 980, a camera 990, and a sensor 901, etc. The audio circuit may also include a speaker 982, a microphone 984, and the like. Wherein, the display unit 970 may include a display screen; the sensor 901 may include a heart rate sensor, and in addition, may also include a motion sensor.

Optionally, the aforementioned smart wearable device 900 may further include a power supply 950 for providing power to various devices or circuits in the terminal device.

It should be understood that the smart wearable device 900 shown in FIG. 7 can implement various processes of the methods provided in the embodiments shown in FIG. 4 and FIG. 5. The operations and/or functions of each module in the smart wearable device 900 are respectively for implementing the corresponding processes in the foregoing method embodiments. For details, please refer to the descriptions in the method embodiments shown in FIG. 4 and FIG. 5. To avoid repetition, detailed descriptions are appropriately omitted here.

It should be understood that the processor 910 in the smart wearable device 900 shown in FIG. 7 may be a system-on-chip SOC, and the processor 910 may include a central processing unit (Central Processing Unit; hereinafter referred to as: CPU), and may further include other types The processor, such as: graphics processing unit (Graphics Processing Unit; hereinafter referred to as: GPU), etc.

In short, each part of the processor or processing unit inside the processor 910 can cooperate to implement the previous method flow, and the corresponding software program of each part of the processor or processing unit can be stored in the memory 930.

In the above embodiments, the processors involved may include, for example, CPUs, DSPs, microcontrollers, or digital signal processors, and may also include GPUs, embedded neural network processors (Neural-network Process Units; hereinafter referred to as: NPU), and graphics Signal Processor (Image Signal Processing; hereinafter referred to as: ISP), the processor may also include necessary hardware accelerators or logic processing hardware circuits, such as ASIC, or one or more integrated circuits used to control the execution of the technical solutions of this application Wait. In addition, the processor may have a function of operating one or more software programs, and the software programs may be stored in a storage medium.

The embodiment of the present application also provides a computer-readable storage medium, which stores a computer program, which when running on a computer, causes the computer to execute the functions provided by the embodiments shown in Figs. 4 and 5 of the present application. method.

The embodiments of the present application also provide a computer program product. The computer program product includes a computer program that, when running on a computer, causes the computer to execute the methods provided in the embodiments shown in FIG. 4 and FIG. 5 of the present application.

In the embodiments of the present application, "at least one" refers to one or more, and "multiple" refers to two or more. "And/or" describes the association relationship of the associated objects, indicating that there can be three types of relationships, for example, A and/or B, which can mean the situation where A exists alone, A and B exist at the same time, and B exists alone. Among them, A and B can be singular or plural. The character "/" generally indicates that the associated objects before and after are in an "or" relationship. "The following at least one item" and similar expressions refer to any combination of these items, including any combination of single items or plural items. For example, at least one of a, b, and c can represent: a, b, c, a and b, a and c, b and c, or a and b and c, where a, b, and c can be single, or There can be more than one.

A person of ordinary skill in the art may be aware that the units and algorithm steps described in the embodiments disclosed herein can be implemented by a combination of electronic hardware, computer software, and electronic hardware. Whether these functions are executed by hardware or software depends on the specific application and design constraint conditions of the technical solution. Professionals and technicians can use different methods for each specific application to implement the described functions, but such implementation should not be considered beyond the scope of this application.

Those skilled in the art can clearly understand that, for the convenience and conciseness of description, the specific working process of the system, device and unit described above can refer to the corresponding process in the foregoing method embodiment, which will not be repeated here.

In the several embodiments provided in this application, if any function is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer readable storage medium. Based on this understanding, the technical solution of the present application essentially or the part that contributes to the existing technology or the part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including Several instructions are used to make a computer device (which may be a personal computer, a server, or a network device, etc.) execute all or part of the steps of the methods described in the various embodiments of the present application. The aforementioned storage media include: U disk, mobile hard disk, read-only memory (Read-Only Memory; hereinafter referred to as ROM), random access memory (Random Access Memory; hereinafter referred to as RAM), magnetic disks or optical disks, etc. A medium that can store program codes.

The above are only specific implementations of this application. Any person skilled in the art can easily conceive of changes or substitutions within the technical scope disclosed in this application, and they should all be covered by the protection scope of this application. The protection scope of this application shall be subject to the protection scope of the claims.

Claims

A method for improving sleep quality, characterized in that it includes:

After the user falls asleep, monitor the sleep stages of the user;

After monitoring that the user enters the deep sleep period, acquiring the exercise intensity of the user during the non-sleep period;

If the exercise intensity of the user is greater than or equal to the predetermined exercise intensity threshold, the audio playback device is notified to play the deep sleep brain wave audio to trigger the user's brain wave resonance and prolong the deep sleep duration.
The method according to claim 1, wherein after the monitoring of the sleep stages of the user, the method further comprises:

After monitoring that the user enters the rapid eye movement period, acquiring the amount of mental stress of the user during the non-sleep time period;

If the magnitude of the user's mental stress is greater than or equal to a predetermined mental stress value, the audio playback device is notified to play brain wave audio that stimulates the rapid eye movement period, so as to extend the user's rapid eye movement period.
The method according to claim 1, wherein said obtaining the exercise intensity of the user during a non-sleep time period comprises:

Obtain the heart rate data and/or exercise state of the user in the non-sleep time period recorded by the smart wearable device, and determine the user’s heart rate data and/or exercise state in the non-sleep time period according to the user’s heart rate data and/or exercise state in the non-sleep time period Exercise intensity.
The method according to claim 1, wherein said obtaining the exercise intensity of the user during a non-sleep time period comprises:

Obtain the fatigue degree of the user during the non-sleep time period, and determine the exercise intensity of the user during the non-sleep time period according to the fatigue degree; wherein the fatigue degree of the user during the non-sleep time period is measured by a fatigue questionnaire , Voice recognition or face recognition.
The method according to claim 2, wherein said obtaining the magnitude of the mental stress of the user during the non-sleep time period comprises:

Obtain the amount of mental stress of the user during the non-sleep time period measured by a stress scale; or,

Obtain the heart rate variability of the user during the non-sleep time period, and determine the level of mental stress of the user during the non-sleep time period according to the heart rate variability; wherein, the heart rate variability is determined by the user It is measured by the heart rate sensor in the wearable smart wearable device.
The method according to any one of claims 1-5, wherein the monitoring the sleep stages of the user comprises:

Monitor the sleep stages of the user through a smart wearable device; or,

Monitor the sleep stages of the user through non-contact ultrasonic waves or broadband radar waves; or,

The sleep stage of the user is monitored through a piezoelectric sensor sleep mattress or a light sensor sleep mattress.
A device for improving sleep quality, characterized in that it comprises:

The monitoring module is used to monitor the sleep stages of the user after the user falls asleep;

An acquiring module, configured to acquire the exercise intensity of the user during the non-sleep period after the monitoring module monitors that the user enters a deep sleep period;

The notification module is used to notify the audio playback device to play deep sleep brain wave audio when the exercise intensity of the user is greater than or equal to a predetermined exercise intensity threshold to trigger the user's brain wave resonance and prolong the deep sleep duration.
The device according to claim 7, wherein:

The acquiring module is further configured to acquire the level of mental stress of the user during the non-sleep time period after the monitoring module monitors that the user enters the rapid eye movement period;

The notification module is further configured to notify the audio playback device to play brain wave audio that stimulates the rapid eye movement period when the user's mental stress is greater than or equal to a predetermined mental stress value, so as to prolong the user's mental stress. Rapid eye movement period.
The device according to claim 7, wherein:

The acquisition module is specifically configured to acquire the heart rate data and/or exercise state of the user during the non-sleep time period recorded by the smart wearable device, and determine the heart rate data and/or exercise state of the user during the non-sleep time period. The exercise intensity of the user during the non-sleep time period.
The device according to claim 7, wherein:

The acquiring module is specifically configured to acquire the fatigue degree of the user in the non-sleep time period, and determine the exercise intensity of the user in the non-sleep time period according to the fatigue degree; wherein, the user’s exercise intensity in the non-sleep time period is Fatigue is obtained through fatigue questionnaire, voice recognition or face recognition.
The device according to claim 8, wherein:

The acquiring module is specifically configured to acquire the amount of mental stress of the user during the non-sleep time period measured by a pressure gauge; or,

Obtain the heart rate variability of the user during the non-sleep time period, and determine the level of mental stress of the user during the non-sleep time period according to the heart rate variability; wherein, the heart rate variability is determined by the user It is measured by the heart rate sensor in the wearable smart wearable device.
A smart wearable device, characterized in that it includes:

One or more processors; memory; multiple application programs; and one or more computer programs, wherein the one or more computer programs are stored in the memory, and the one or more computer programs include instructions, When the instruction is executed by the device, the device is caused to perform the following steps:

After the user falls asleep, monitor the sleep stages of the user;

After monitoring that the user enters the deep sleep period, acquiring the exercise intensity of the user during the non-sleep period;

If the exercise intensity of the user is greater than or equal to the predetermined exercise intensity threshold, the audio playback device is notified to play the deep sleep brain wave audio to trigger the user's brain wave resonance and prolong the deep sleep duration.
The device according to claim 12, wherein when the instruction is executed by the device, the device further executes the following steps after executing the step of monitoring the sleep stages of the user:

After monitoring that the user enters the rapid eye movement period, acquiring the amount of mental stress of the user during the non-sleep time period;

If the magnitude of the user's mental stress is greater than or equal to a predetermined mental stress value, the audio playback device is notified to play brain wave audio that stimulates the rapid eye movement period, so as to extend the user's rapid eye movement period.
The device according to claim 12, wherein when the instruction is executed by the device, causing the device to execute the step of obtaining the exercise intensity of the user during the non-sleep time period comprises:

Obtain the heart rate data and/or exercise state of the user in the non-sleep time period recorded by the smart wearable device, and determine the user’s heart rate data and/or exercise state in the non-sleep time period according to the user’s heart rate data and/or exercise state in the non-sleep time period Exercise intensity.
The device according to claim 12, wherein when the instruction is executed by the device, causing the device to execute the step of obtaining the exercise intensity of the user during the non-sleep time period comprises:

Obtain the fatigue degree of the user during the non-sleep time period, and determine the exercise intensity of the user during the non-sleep time period according to the fatigue degree; wherein the fatigue degree of the user during the non-sleep time period is measured by a fatigue questionnaire , Voice recognition or face recognition.
The device according to claim 13, wherein when the instruction is executed by the device, causing the device to execute the step of obtaining the magnitude of the user's mental stress during the non-sleep time period comprises :

Obtain the amount of mental stress of the user during the non-sleep time period measured by a stress scale; or,

Obtain the heart rate variability of the user during the non-sleep time period, and determine the level of mental stress of the user during the non-sleep time period according to the heart rate variability; wherein, the heart rate variability is determined by the user It is measured by the heart rate sensor in the wearable smart wearable device.
A computer-readable storage medium, characterized in that a computer program is stored in the computer-readable storage medium, which when running on a computer, causes the computer to execute the method according to any one of claims 1-6.