CN111358448A - Sleep regulation method and device - Google Patents
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- A61M2021/0083—Other devices or methods to cause a change in the state of consciousness; Devices for producing or ending sleep by mechanical, optical, or acoustical means, e.g. for hypnosis by the use of a particular sense, or stimulus especially for waking up
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Abstract
The application provides a sleep regulation method and a sleep regulation device, wherein the method comprises the following steps: acquiring at least one physiological data of a user; determining a sleep state of the user according to the at least one physiological data; and adjusting the indoor environment according to the sleep state to assist the user in sleeping. By the method, the sleep state of the user can be monitored in real time, the indoor environment is adjusted, and the sleep quality of the user is improved.
Description
Technical Field
The present application relates to the field of computer technologies, and in particular, to a sleep adjustment method and apparatus.
Background
With the accelerated pace of life and the increased working pressure, people of all ages are troubled by the sleeping problem. In addition, poor sleep quality and sleep disorder tend to cause anxiety, depression, lassitude and memory deterioration of users, and even lead to the decline of learning ability and work efficiency of users.
Therefore, how to make the user have good sleep is a considerable problem.
Disclosure of Invention
The application provides a sleep adjusting method and device, which are used for detecting and adjusting the sleep of a user in real time so as to assist the user in sleeping.
In a first aspect, an embodiment of the present application provides a sleep adjustment method, including:
acquiring at least one physiological data of a user;
determining a sleep state of the user according to the at least one physiological data;
and adjusting the indoor environment according to the sleep state to assist the user in sleeping.
Optionally, the determining the sleep state of the user according to the at least one physiological datum includes:
determining the sleep state of the user according to the boundary threshold value, the weight factor and the sleep stage model corresponding to each physiological datum;
wherein the weighting factor is used for representing the influence degree of each physiological data on the sleep staging result.
Optionally, determining the sleep state of the user according to the at least one physiological datum includes:
when a first physiological data value acquired within a first preset time period in the at least one physiological data is in a first threshold range, determining that the user is in a shallow sleep period;
when the first physiological data value is in a second threshold range, determining that the user is in a deep sleep period;
when the first physiological data value is in a third threshold range, determining that the user is in a wake period;
the maximum value in the first threshold range is smaller than the minimum value in the second threshold range, and the maximum value in the second threshold range is smaller than the minimum value in the third threshold range.
Optionally, the determining the sleep state of the user according to the at least one physiological datum includes:
determining a duration of a body motion signal in the at least one physiological datum;
if the duration is less than a first threshold, determining that the user is in a deep sleep period;
if the duration is greater than or equal to the first threshold and less than a second threshold, determining that the user is in a shallow sleep period;
if the duration is greater than or equal to the second threshold, determining that the user is in an awake period.
Optionally, the indoor environment includes: at least one of temperature, humidity, light, sound.
Optionally, the method further includes: determining the sleep latency time and the waking time of the user after falling asleep according to the sleep state; determining the sleep quality of the user according to the sleep latency time and the waking time after falling asleep; outputting a sleep improvement suggestion according to the sleep quality.
In a second aspect, an embodiment of the present application provides a sleep adjustment apparatus, including:
an acquisition module for acquiring at least one physiological data of a user;
a processing module for determining a sleep state of the user based on the at least one physiological data;
the processing module is further used for adjusting an indoor environment according to the sleep state so as to assist the user in sleeping.
Optionally, when the processing module is configured to determine the sleep state of the user according to the at least one piece of physiological data, the processing module is specifically configured to:
determining the sleep state of the user according to the boundary threshold value, the weight factor and the sleep stage model corresponding to each physiological datum; wherein the weighting factor is used for representing the influence degree of each physiological data on the sleep staging result.
Optionally, when the processing module is configured to determine the sleep state of the user according to the at least one piece of physiological data, the processing module is specifically configured to:
when a first physiological data value acquired within a first preset time period in the at least one physiological data is in a first threshold range, determining that the user is in a shallow sleep period; when the first physiological data value is in a second threshold range, determining that the user is in a deep sleep period; when the first physiological data value is in a third threshold range, determining that the user is in a wake period; the maximum value in the first threshold range is smaller than the minimum value in the second threshold range, and the maximum value in the second threshold range is smaller than the minimum value in the third threshold range.
Optionally, when the processing module is configured to determine the sleep state of the user according to the at least one piece of physiological data, the processing module is specifically configured to: determining a duration of a body motion signal in the at least one physiological datum; if the duration is less than a first threshold, determining that the user is in a deep sleep period; if the duration is greater than or equal to the first threshold and less than a second threshold, determining that the user is in a shallow sleep period; if the duration is greater than or equal to the second threshold, determining that the user is in an awake period.
Optionally, the indoor environment includes: at least one of temperature, humidity, light, sound.
Optionally, the processing module is further configured to determine, according to the sleep state, a sleep latency duration and a waking duration of the user after falling asleep; determining the sleep quality of the user according to the sleep latency time and the waking time after falling asleep; outputting a sleep improvement suggestion according to the sleep quality.
In a third aspect, an embodiment of the present application provides an electronic device, including: at least one processor, and a memory communicatively coupled to the at least one processor, wherein: the memory stores instructions executable by the at least one processor to enable the at least one processor to perform one or more of the steps of the above-described method.
In a fourth aspect, embodiments of the present application provide a computer-readable medium storing computer-executable instructions for performing the above method.
The application provides a sleep regulation method, which comprises the following steps: acquiring at least one physiological data of a user; determining a sleep state of the user according to the at least one physiological data; and adjusting the indoor environment according to the sleep state to assist the user in sleeping. By the method, the sleep state of the user can be monitored in real time, the indoor environment is adjusted, and the sleep quality of the user is improved.
These and other aspects of the present application will be more readily apparent from the following description of the embodiments.
Drawings
The accompanying drawings, which are included to provide a further understanding of the application and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the application and together with the description serve to explain the application and not to limit the application. In the drawings:
fig. 1 is a schematic flowchart of a sleep adjustment method according to an embodiment of the present application;
fig. 2 is a schematic structural diagram of a sleep adjustment apparatus according to an embodiment of the present disclosure;
fig. 3 is a schematic structural diagram of an electronic device according to an embodiment of the present application.
Detailed Description
In order to solve the problem of poor sleep quality of a user, the application provides a sleep adjustment method, which comprises the following steps: acquiring at least one physiological data of a user; determining a sleep state of the user according to the at least one physiological data; and adjusting the indoor environment according to the sleep state to assist the user in sleeping. By the method, the sleep state of the user can be monitored in real time, the indoor environment is adjusted, and the sleep quality of the user is improved.
The preferred embodiments of the present application will be described below with reference to the accompanying drawings of the specification, it should be understood that the preferred embodiments described herein are merely for illustrating and explaining the present application, and are not intended to limit the present application, and that the embodiments and features of the embodiments in the present application may be combined with each other without conflict.
It should be understood that the terms first, second, etc. in the description of the embodiments of the present application are used for distinguishing between the descriptions and not for indicating or implying relative importance or order. In the description of the embodiments of the present application, "a plurality" means two or more.
The term "and/or" in the embodiment of the present application is only one kind of association relationship describing an associated object, and means that three kinds of relationships may exist, for example, a and/or B may mean: a exists alone, A and B exist simultaneously, and B exists alone. In addition, the character "/" herein generally indicates that the former and latter related objects are in an "or" relationship.
The following presents a brief summary of the background of the present application.
With the accelerated pace of life and the increased working pressure, people of all ages are troubled by the sleeping problem. In addition, poor sleep quality and sleep disorder tend to cause anxiety, depression, lassitude and memory deterioration of users, and even lead to the decline of learning ability and work efficiency of users.
Therefore, how to make the user have good sleep is a considerable problem.
In order to solve the above technical problem, the present application provides a sleep adjustment method, including: acquiring at least one physiological data of a user; determining a sleep state of the user according to the at least one physiological data; and adjusting the indoor environment according to the sleep state to assist the user in sleeping. By the method, the sleep state of the user can be monitored in real time, the indoor environment is adjusted, and the sleep quality of the user is improved.
A sleep adjustment method provided in an embodiment of the present application is described below. Referring to fig. 1, fig. 1 is a schematic flowchart of a sleep adjustment method provided in an embodiment of the present application, where the method may be executed by an electronic device (e.g., a smart mattress), and the method includes:
101: at least one physiological data of a user is acquired.
It is to be understood that the at least one physiological data may be one or more of heartbeat, respiration, pulse and volume.
In a possible implementation manner, the electronic device acquires at least one physiological data of the user, which may be acquiring a physiological signal of the user, and performs a filtering process on the physiological signal to obtain the at least one physiological data.
It should be noted that the physiological signal acquired by the electronic device may be a composite signal of multiple physiological signals or a single physiological signal, and the embodiment of the present application is not limited specifically.
Since the physiological signals have the characteristics of weak signals, low frequency, large noise and the like, the physiological signals are easily affected by other interference sources (such as electro-oculogram interference, electromyogram interference and the like), and particularly when various physiological signals are mixed, the acquired signals need to be filtered. The electronic device may perform filtering processing on the physiological signal according to methods such as filter filtering, wavelet filtering, independent component analysis, and the like, and the embodiment of the present application is not limited specifically.
In the prior art, a contact product is mostly adopted for collecting physiological signals of a user, and the operation is relatively complex. However, the embodiments provided herein employ non-contact products (e.g., smart mattresses, smart sleep boxes, etc.) to collect physiological signals of a user, which improves the comfort of the user.
Illustratively, the electronic device is an intelligent mattress, and the intelligent mattress collects physiological signals of a user through a film pressure sensor and performs filtering processing on the physiological signals of the user through a built-in filter algorithm.
It should be understood that the physiological signal may be a time-domain signal directly acquired by the non-contact product, or may also be a frequency-domain signal obtained by performing fourier transform on the acquired time-domain signal by the non-contact product, and the embodiment of the present application is not particularly limited.
102: determining a sleep state of the user based on the at least one physiological data.
It should be understood that the sleep state may be a light sleep period, a wake period, a deep sleep period, or a rapid eye movement period and a non-rapid eye movement period, and the embodiment of the present application is not particularly limited.
In a first possible implementation, the electronic device determines the sleep state of the user according to the at least one physiological datum, and may be: determining the sleep state of the user according to the boundary threshold value, the weight factor and the sleep stage model corresponding to each physiological datum; wherein the weighting factor is used for representing the influence degree of each physiological data on the sleep staging result.
It should be understood that the boundary threshold may be understood as one or more threshold ranges, and may also be understood as one or more sets of feature vectors after the electronic device converts the staging criteria of each physiological data; the sleep staging model may be obtained by the electronic device according to a boundary threshold and a weight factor corresponding to the physiological data in combination with a machine learning algorithm, or obtained by training a large amount of physiological data in advance by using the machine learning algorithm, and the embodiment of the present application is not particularly limited.
Exemplarily, assuming that at least one piece of physiological data includes respiration, heartbeat, and body movement data of a user, the weighting factors corresponding to the three data are a, b, and c, respectively, the electronic device trains a boundary threshold and the weighting factor corresponding to each piece of physiological data by using a support vector machine algorithm to obtain a sleep stage model, and analyzes the respiration, heartbeat, and body movement data of the current user according to the sleep stage model to determine the sleep state of the user by integrating the three parameters.
In a second possible implementation, the electronic device determines the sleep state of the user according to the at least one physiological datum, and may be: when a first physiological data value acquired within a first preset time period in the at least one physiological data is in a first threshold range, determining that the user is in a deep sleep period; when the first physiological data value is in a second threshold range, determining that the user is in a shallow sleep period; when the first physiological data value is in a third threshold range, determining that the user is in a wake period; the maximum value in the first threshold range is smaller than the minimum value in the second threshold range, and the maximum value in the second threshold range is smaller than the minimum value in the third threshold range.
Illustratively, assuming the at least one physiological datum is heartbeat data, the sleep state of the user is determined in a number of heartbeats within 1 minute, the first threshold range is an interval [60,75], the second threshold range is a cardiac interval [80,85], and the third threshold range is an interval [90,100 ]; when the electronic device detects that the number of heartbeats of the user within 1 minute is 83, it is determined that the user is in a shallow sleep period.
In a third possible implementation manner, the electronic device determines the sleep state of the user according to the at least one physiological datum, and may be: determining a duration of a body motion signal in the at least one physiological datum; if the duration is less than a first threshold, determining that the user is in a deep sleep period; if the duration is greater than or equal to the first threshold and less than a second threshold, determining that the user is in a shallow sleep period; if the duration is greater than or equal to the second threshold, determining that the user is in an awake period.
It should be understood that when the at least one physiological datum is a body movement datum, the third possible embodiment can be adopted, namely, the sleep state of the user is determined according to the duration of one body movement signal. Wherein the duration may be determined by a signal amplitude of the body motion signal.
For example, assuming that the first threshold, the second threshold and the third threshold are respectively 10s, 60s and 100s, and the duration of the current body motion signal detected by the electronic device is 25s, the duration of the current body motion signal is greater than the first threshold and less than the second threshold, it is determined that the user is in the shallow sleep period.
103: and adjusting the indoor environment according to the sleep state to assist the user in sleeping.
It should be understood that the indoor environment may include: one or more of temperature, humidity, light and sound, and embodiments of the present application are not particularly limited. In step 103, the electronic device may communicate with other electronic devices in the room, and control some functions of the other electronic devices according to the sleep state of the user, so as to adjust the indoor environment.
In a possible implementation manner, the electronic device adjusts the indoor environment according to the sleep state to assist the user in sleeping, and may be: and when the user is determined to be in the light sleep period, increasing the indoor temperature to a first preset temperature, and when the user is determined to be in the deep sleep period, reducing the indoor temperature to a second preset temperature.
In a possible implementation manner, the electronic device adjusts an indoor environment according to the sleep state to assist the user in sleeping, and may further include: and when the user is determined to be in the shallow sleep period, soft music is played, and indoor light is dimmed.
Illustratively, taking a smart mattress as an example, when the smart mattress detects that the user is in a light sleep period, the indoor air conditioner is controlled to raise the temperature, and α -wave music is played for the user to help the user sleep.
Optionally, the electronic device may further determine, according to the sleep state, a sleep latency duration and a waking duration of the user after the sleep; determining the sleep quality of the user according to the sleep latency time and the waking time after falling asleep; outputting a sleep improvement suggestion according to the sleep quality.
It should be understood that the sleep latency period may be understood as a period from the time when the user falls asleep to the time when the user enters a shallow sleep period, and the wake period after falling asleep may be understood as a period during which the user is in a wake period throughout the sleep. The electronic device may determine the sleep quality of the user according to the sleep latency time and the waking time after falling asleep, and may further perform deep evaluation on the sleep quality of the user by combining information such as a ratio of the deep sleep time to the total sleep time, and sleep information fed back by the user, which is not specifically limited in the embodiments of the present application.
For example, assuming that the intelligent mattress determines that the total sleeping time of the user is 8 hours, the sleeping latency time is 0.5 hours, and the waking time after sleeping is 2 hours, the sleeping latency/total sleeping time and the waking time/total sleeping time after sleeping are calculated, the sleeping quality of the user is determined according to the preset weight ratio of the sleeping latency/total sleeping time and the waking time/total sleeping time after sleeping, and a sleep quality report of the user is output to prompt the user to do low-intensity exercise before sleeping every day.
The technical solution of the present application is explained below with reference to the complete examples.
Example 1
The electronic equipment takes an intelligent mattress as an example, the intelligent mattress collects physiological signals of a user through a film pressure sensor, carries out filtering processing on the physiological signals of the user through a built-in filter algorithm, separates out respiration data and heartbeat data through the frequency range of the physiological signals, and separates out body movement signals through the amplitude threshold of the physiological signals.
The intelligent mattress trains boundary thresholds and weight factors corresponding to the respiration data, the heartbeat data and the body movement data by using a support vector machine algorithm to obtain a sleep stage model, analyzes the respiration data, the heartbeat data and the body movement data of a current user according to the sleep stage model to synthesize the three parameters to determine the sleep state of the user, and controls an indoor air conditioner to heat up and plays α -wave music for the user to assist the user in sleeping when the intelligent mattress detects that the user is in a shallow sleep period.
The intelligent mattress determines that the total sleeping time of a user is 8 hours, the sleeping latency time is 0.5 hour and the waking time after sleeping is 2 hours through a pressure sensor, calculates the sleeping latency/sleeping total time and the waking time/sleeping total time after sleeping, determines that the sleeping quality of the user is good according to the preset weight ratio of the sleeping latency/sleeping total time and the waking time/sleeping total time after sleeping, and outputs a sleeping quality report of the user to prompt the user to do low-intensity exercise for 20 minutes before sleeping every day.
Example 2
The electronic equipment takes an intelligent sleep box as an example, and the intelligent sleep box acquires heartbeat data of a user through a biological signal sensor.
The intelligent sleep box determines the sleep state of the user according to the heartbeat times per minute in the heartbeat data, and supposes that a first threshold range, a second threshold range and a third threshold range of the heartbeat times are [60,75], [80,85], [90 and 100] respectively, when the heartbeat times of the user in one minute are in the first threshold range, the user is determined to be in a deep sleep period currently, when the heartbeat times of the user in one minute are in the second threshold range, the user is determined to be in a shallow sleep period currently, and when the heartbeat times of the user in one minute are in the third threshold range, the user is determined to be in an awakening period currently.
When the intelligent sleep box detects that the heartbeat frequency of the user in 1 minute is 97, the user is determined to be in the wake-up period, the air conditioner is controlled to reduce the indoor temperature, and music with strong rhythm is played to wake up the user.
The intelligent sleep box determines the sleep quality of the user according to the sleep-in latency time, the waking time, the rapid eye movement sleep period duration and the non-rapid eye movement sleep period duration of the user in 8 hours of sleep, and influence factors of preset dimensions on the sleep quality of the user, and outputs a sleep quality report of the user.
Based on the same inventive concept, the present application further provides a sleep adjustment apparatus, please refer to fig. 2, fig. 2 is a schematic structural diagram of a sleep adjustment apparatus provided in an embodiment of the present application, which may be, for example, an intelligent mattress, an intelligent sleep box, and the like, and the apparatus includes:
an obtaining module 201, configured to obtain at least one physiological data of a user;
a processing module 202, configured to determine a sleep state of the user according to the at least one physiological data;
the processing module 202 is further configured to adjust an indoor environment according to the sleep state to assist the user in sleeping.
It should be understood that the sleep device has a communication function, and the sleep device can adjust the indoor environment by sending a control instruction to the indoor air conditioner to adjust the temperature of the indoor air conditioner; the sleep device can adjust the indoor environment or the sleep device can send a control instruction to the music player, and the music player plays music capable of improving the sleep of the user; or, the sleep device sends a control command to the lamp to adjust indoor light, and the embodiment of the application is not specifically limited.
Optionally, when the processing module 202 is configured to determine the sleep state of the user according to the at least one physiological datum, specifically, to:
determining the sleep state of the user according to the boundary threshold value, the weight factor and the sleep stage model corresponding to each physiological datum; wherein the weighting factor is used for representing the influence degree of each physiological data on the sleep staging result.
Optionally, when the processing module 202 is configured to determine the sleep state of the user according to the at least one physiological datum, specifically, to:
when a first physiological data value acquired within a first preset time period in the at least one physiological data is in a first threshold range, determining that the user is in a shallow sleep period; when the first physiological data value is in a second threshold range, determining that the user is in a deep sleep period; when the first physiological data value is in a third threshold range, determining that the user is in a wake period; the maximum value in the first threshold range is smaller than the minimum value in the second threshold range, and the maximum value in the second threshold range is smaller than the minimum value in the third threshold range.
Optionally, when the processing module 202 is configured to determine the sleep state of the user according to the at least one physiological datum, specifically, to: determining a duration of a body motion signal in the at least one physiological datum; if the duration is less than a first threshold, determining that the user is in a deep sleep period; if the duration is greater than or equal to the first threshold and less than a second threshold, determining that the user is in a shallow sleep period; if the duration is greater than or equal to the second threshold, determining that the user is in an awake period.
Optionally, the indoor environment includes: at least one of temperature, humidity, light, sound.
Optionally, the processing module 202 is further configured to determine, according to the sleep state, a sleep latency duration and an awake duration of the user after falling asleep; determining the sleep quality of the user according to the sleep latency time and the waking time after falling asleep; outputting a sleep improvement suggestion according to the sleep quality.
Based on the same inventive concept, an embodiment of the present application provides an electronic device with a sleep adjustment function, where the electronic device may be the aforementioned intelligent mattress or intelligent sleep box, please refer to fig. 3, and fig. 3 is a schematic structural diagram of the electronic device provided in the embodiment of the present application. The electronic device with the sleep adjustment function includes at least one processor 302 and a memory 301 connected to the at least one processor, in this embodiment, a specific connection medium between the processor 302 and the memory 301 is not limited in this application, fig. 3 illustrates that the processor 302 and the memory 301 are connected by a bus 300, the bus 300 is represented by a thick line in fig. 3, and the connection manner between other components is only schematically illustrated and not limited thereto. The bus 300 may be divided into an address bus, a data bus, a control bus, etc., and is shown with only one thick line in fig. 3 for ease of illustration, but does not represent only one bus or type of bus.
In the embodiment of the present application, the memory 301 stores instructions executable by the at least one processor 302, and the at least one processor 302 may execute the steps included in the foregoing sleep adjustment method by calling the instructions stored in the memory 301.
The processor 302 is a control center of the electronic device with the sleep adjustment function, and can utilize various interfaces and lines to connect various parts of the whole electronic device with the sleep adjustment function, and implement various functions of the electronic device with the sleep adjustment function by executing the instructions stored in the memory 301. Optionally, the processor 302 may include one or more processing units, and the processor 302 may integrate an application processor and a modem processor, wherein the application processor mainly handles an operating system, a user interface, application programs, and the like, and the modem processor mainly handles wireless communication. It will be appreciated that the modem processor described above may not be integrated into the processor 302. In some embodiments, processor 302 and memory 301 may be implemented on the same chip, or in some embodiments, they may be implemented separately on separate chips.
The processor 302 may be a general-purpose processor, such as a Central Processing Unit (CPU), digital signal processor, application specific integrated circuit, field programmable gate array or other programmable logic device, discrete gate or transistor logic, discrete hardware components, or the like, that may implement or perform the methods, steps, and logic blocks disclosed in embodiments of the present application. A general purpose processor may be a microprocessor or any conventional processor or the like. The steps of a sleep adjustment method disclosed in connection with the embodiments of the present application may be directly performed by a hardware processor, or may be performed by a combination of hardware and software modules in the processor.
By programming the processor 302, the code corresponding to the sleep adjustment method described in the foregoing embodiment may be solidified in the chip, so that the chip can execute the steps of the sleep adjustment method when running, and how to program the processor 302 is a technique known by those skilled in the art, and is not described herein again.
Based on the above embodiments, in the embodiments of the present application, a computer-readable storage medium is provided, on which a computer program is stored, which, when executed by a processor, implements the sleep adjustment method in any of the above method embodiments.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks. It will be apparent to those skilled in the art that various changes and modifications may be made in the present application without departing from the spirit and scope of the application. Thus, if such modifications and variations of the present application fall within the scope of the claims of the present application and their equivalents, the present application is intended to include such modifications and variations as well.
Claims (10)
1. A sleep adjustment method, comprising:
acquiring at least one physiological data of a user;
determining a sleep state of the user according to the at least one physiological data;
and adjusting the indoor environment according to the sleep state to assist the user in sleeping.
2. The method of claim 1, wherein determining the sleep state of the user based on the at least one physiological data comprises:
determining the sleep state of the user according to the boundary threshold value, the weight factor and the sleep stage model corresponding to each physiological datum;
wherein the weighting factor is used for representing the influence degree of each physiological data on the sleep staging result.
3. The method of claim 1, wherein determining the sleep state of the user from the at least one physiological data comprises:
when a first physiological data value acquired within a first preset time period in the at least one physiological data is in a first threshold range, determining that the user is in a shallow sleep period;
when the first physiological data value is in a second threshold range, determining that the user is in a deep sleep period;
when the first physiological data value is in a third threshold range, determining that the user is in a wake period;
the maximum value in the first threshold range is smaller than the minimum value in the second threshold range, and the maximum value in the second threshold range is smaller than the minimum value in the third threshold range.
4. The method of claim 1, wherein determining the sleep state of the user based on the at least one physiological data comprises:
determining a duration of a body motion signal in the at least one physiological datum;
if the duration is less than a first threshold, determining that the user is in a deep sleep period;
if the duration is greater than or equal to the first threshold and less than a second threshold, determining that the user is in a shallow sleep period;
if the duration is greater than or equal to the second threshold, determining that the user is in an awake period.
5. The method of claim 1, wherein the indoor environment comprises: at least one of temperature, humidity, light, sound.
6. The method of claim 1, wherein the method further comprises:
determining the sleep latency time and the waking time of the user after falling asleep according to the sleep state;
determining the sleep quality of the user according to the sleep latency time and the waking time after falling asleep;
outputting a sleep improvement suggestion according to the sleep quality.
7. A sleep adjustment device, comprising:
an acquisition module for acquiring at least one physiological data of a user;
a processing module for determining a sleep state of the user based on the at least one physiological data;
the processing module is further used for adjusting an indoor environment according to the sleep state so as to assist the user in sleeping.
8. The apparatus as claimed in claim 7, wherein the processing module, when being configured to determine the sleep state of the user based on the at least one physiological data, is specifically configured to:
determining the sleep state of the user according to the boundary threshold value, the weight factor and the sleep stage model corresponding to each physiological datum;
wherein the weighting factor is used for representing the influence degree of each physiological data on the sleep staging result.
9. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the steps of the method of any of claims 1-6 are implemented when the program is executed by the processor.
10. A computer-readable storage medium having stored thereon a computer program, characterized in that: the computer program when executed by a processor implementing the steps of the method of any one of claims 1 to 6.
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