Sleep quality detection method and system

Abstract

The invention relates to a sleep quality detection method and system, and the method specifically comprises the following steps: S101, enabling a state collection device to be on an arm when a user sleeps, and obtaining the body trunk state change data through the state collection device, for example, enabling the user to wear in a mode of an intelligent wristwatch; s102, environment information data in the sleep environment of the user is detected, and according to the method, the environment information of the user in the normal sleep state and the environment information of the user in the abnormal sleep state are obtained through analysis by monitoring the body state information, such as the turning frequency during sleep, of the user during sleep and then monitoring the environment information of the user during sleep. Therefore, according to analysis of the historical environment information of the user in the normal sleep state and the historical environment information of the user in the abnormal sleep state, suggestions for improving the sleep environment are provided for the user, the user is assisted in adjusting the sleep state, and therefore good sleep quality is achieved.

Description

Technical Field

[0001] The present invention relates to the technical field of sleep quality detection methods, and in particular to a sleep quality detection method and system. Background Art

[0002] Sleep is an important physiological need for humans to relieve stress and carry out metabolism. Nowadays, due to various factors such as life and work, people have problems with sleep quality. Insomnia has become a common disease. Therefore, it is very necessary to track sleep quality, monitor the human sleep process in real time, and then improve the sleep condition.

[0003] After retrieval, a Chinese patent with the publication number: CN 109567820 A discloses a sleep management method, device and system. A sleep management method provided by the present invention includes the following steps: detecting the sleep posture of a user; when the sleep posture of the user is a first preset sleep posture or does not conform to a second preset sleep posture or the sleep posture change frequency is greater than or equal to a preset value, sending a prompt message to a remote care device.

[0004] In this patent, only the sleep posture of the user can be monitored, and the best sleep advice cannot be given according to the sleep state of the user. Summary of the Invention

[0005] In view of the deficiencies of the prior art, the present invention provides a sleep quality monitoring method and system.

[0006] The technical solution adopted by the present invention is: a sleep quality monitoring method, specifically including the following steps:

[0007] When the user is sleeping, place the state acquisition device on the arm, and obtain the body trunk state change data through the state acquisition device;

[0008] Detect the environmental information data in the user's sleep environment;

[0009] Statistically analyze the environmental information of historical users in the normal sleep state, and analyze the environmental information data in the normal sleep state;

[0010] Statistically analyze the environmental information values of historical users in the abnormal sleep state. If there are values in the detected environmental information data that are abnormal compared to other values, regard this data as abnormal data and store the environmental information data that affects sleep quality;

[0011] According to the analysis of the environmental information of historical users in the normal sleep state and the environmental information of historical users in the abnormal sleep state, provide suggestions for the user to improve the sleep environment.

[0012] Furthermore, detecting the environmental information in the user's sleep environment specifically includes the following:

[0013] Detect and record the temperature, humidity, light, sound, and gas information of the user's sleep environment.

[0014] Furthermore, the state acquisition device is an arm-worn acquisition device, mainly monitoring through a gyroscope;

[0015] Among them, when the user is sleeping, the state acquisition device is placed on the arm, and the steps to obtain the body trunk state change data through the state acquisition device are as follows:

[0016] Measure the average acceleration of each axis and the average acceleration representing the exercise intensity index for determination;

[0017] The specific formula is as follows:

[0018]

[0019] In the formula: E represents the average absolute difference of acceleration; A N represents the acceleration value collected at each moment; A V represents the arithmetic mean of acceleration.

[0020] Furthermore, create an array Y for detecting flips, detect within a certain time, detect once every thirty seconds to one minute, Y = W indicates a flip occurs, and Y = Q indicates no flip occurs;

[0021] After the detection is completed, store the values "W" and "Q" in Y, and statistically store multiple data groups T;

[0022] Analyze the number of adjacent data "W" and "Q" in the data group T. If it is less than 35, it is determined as abnormal sleep; if it is greater than or equal to 35, it is determined as normal sleep.

[0023] Furthermore, define the ratio of the daily normal sleep time to the daily total sleep time as the sleep quality score, and evaluate the sleep quality through the sleep quality score.

[0024] Furthermore, the sleep quality score is calculated specifically as follows:

[0025]

[0026] In the formula: v represents the sleep quality score; r represents the daily normal sleep time; r a represents the daily total sleep time.

[0027] Furthermore, it also includes sleep quality scoring, and the sleep quality scoring method is calculated according to the following formula:

[0028]

[0029] In the formula:

[0030] f(x) represents the sleep quality evaluation data, and G represents the sleep quality threshold. The sleep quality status is defined by the threshold. If the sleep quality score is greater than the threshold, the sleep quality is evaluated as good; if it is less than the threshold, the sleep quality is evaluated as poor.

[0031] Furthermore, the temperature, humidity, light, sound, and gas information of the sleep environment where the user is located are detected and recorded in the following specific ways:

[0032] They are measured by a temperature and humidity sensor module, a light detection sensor, a sound detection sensor, and a gas detection sensor respectively.

[0033] Furthermore, a sleep quality detection system includes:

[0034] A sleep monitoring module. When the user is sleeping, the status acquisition device is placed on the arm, and the body trunk status change data is obtained through the status acquisition device;

[0035] An environment monitoring module that detects the environmental information data in the user's sleep environment, including the temperature, humidity, light, sound, and gas information of the environment;

[0036] An analysis module that statistically analyzes the environmental information of historical users in the normal sleep state and the environmental information values of historical users in the abnormal sleep state;

[0037] A suggestion module that provides suggestions for improving the sleep environment for the user according to the environmental information of historical users in the normal sleep state and the environmental information of historical users in the abnormal sleep state;

[0038] A control and processing module that analyzes the data in the sleep monitoring module and the environment detection module, and recommends the user's sleep environment through the data of the analysis module.

[0039] The beneficial effects of the present invention are as follows: Compared with the prior art, in the present invention, by monitoring the body state information of the user during sleep, such as the number of turns during sleep, and then by monitoring the environmental information of the user's sleep, the environmental information of the user in the normal sleep state and the environmental information of the user in the abnormal sleep state are analyzed. Thus, according to the environmental information of historical users in the normal sleep state and the environmental information of historical users in the abnormal sleep state, suggestions for improving the sleep environment are provided for the user to assist the user in adjusting the sleep state, thereby achieving better sleep quality. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] Figure 1 It is a flowchart of the present invention: DETAILED DESCRIPTION OF THE INVENTION

[0041] Next, in combination with the embodiments of the present invention, the technical solutions in the embodiments of the present invention will be clearly and completely described. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the scope of protection of the present invention.

[0042] Reference Figure 1 , in order to solve the problems existing in the background technology, the present application proposes the following technical solutions: A sleep quality detection method specifically includes the following steps:

[0043] Step S101, when the user is sleeping, place the state acquisition device on the arm, and obtain the body trunk state change data through the state acquisition device. For example, it can be worn in the form of a smart watch.

[0044] Step S102, detect the environmental information data in the user's sleep environment. Specifically, the temperature, humidity, light, sound, and gas information of the sleep environment where the user is located are detected and recorded in the following way: measured by a temperature and humidity sensor module, a light detection sensor, a sound detection sensor, and a gas detection sensor respectively;

[0045] For example, the oxygen content, light intensity, temperature and humidity information, and noise information in the sleep environment, etc.

[0046] Step S103, count the environmental information of historical users in the normal sleep state, and analyze the environmental information data in the normal sleep state;

[0047] Step S104, count and analyze the environmental information values of historical users in the abnormal sleep state. If there are values in the detected environmental information data that are abnormal compared to other values, this data is regarded as abnormal data, and the environmental information data affecting sleep quality is stored.

[0048] Step S105, according to the analysis of the environmental information of historical users in the normal sleep state and the environmental information of historical users in the abnormal sleep state, provide suggestions for the user to improve the sleep environment.

[0049] The following explanations are made for the above technical solutions:

[0050] In this embodiment, by monitoring the body state information of the user during sleep, such as the number of times of turning over during sleep, and then by monitoring the environmental information of the user's sleep, the environmental information of the user in the normal sleep state and the environmental information of the user in the abnormal sleep state are analyzed. Thus, according to the analysis of the environmental information of historical users in the normal sleep state and the environmental information of historical users in the abnormal sleep state, suggestions for improving the sleep environment are provided for the user to assist the user in adjusting the sleep state, so as to achieve a better sleep quality.

[0051] In a further design, the state acquisition device is an arm-worn acquisition device, which mainly monitors through a gyroscope;

[0052] Among them, when the user is sleeping, the state acquisition device is worn on the arm, and the steps to obtain the body trunk state change data through the state acquisition device are as follows:

[0053] Measure the average acceleration of each axis and the average acceleration representing the exercise intensity index for determination;

[0054] The specific formula is as follows:

[0055]

[0056] In the formula: E represents the average absolute difference of acceleration; A N represents the acceleration value collected at each moment; A V represents the arithmetic mean of acceleration.

[0057] In addition, create another array Y for detecting flipping, detect it within a certain period of time, detect it once every thirty seconds to one minute, Y = W indicates that flipping has occurred, and Y = Q indicates that flipping has not occurred;

[0058] After the detection is completed, store the values "W" and "Q" in Y, and statistically store multiple data groups T;

[0059] Analyze the number of adjacent data "W" and "Q" in the data group T. If it is less than 35, it is determined as abnormal sleep; if it is greater than or equal to 35, it is determined as normal sleep.

[0060] In summary, while abnormal sleep increases, normal sleep decreases. The number of times the user's trunk flips can be calculated using the flipping determination algorithm proposed above;

[0061] Specifically, the sleep quality score is calculated as follows:

[0062]

[0063] In the formula: v represents the sleep quality score; r represents the normal sleep time per day; r a represents the total sleep time per day.

[0064] It also includes sleep quality scoring. The sleep quality scoring method is calculated according to the following formula:

[0065]

[0066] In the formula:

[0067] Let \(f(x)\) represent the sleep quality evaluation data, and \(G\) represent the sleep quality threshold. The sleep quality status is defined by this threshold. If the sleep quality score is greater than the threshold, the sleep quality is evaluated as good; if it is less than the threshold, the sleep quality is evaluated as poor.

[0068] For the above technical solution, the following explanations are made: By collecting the number of abnormal and normal sleeps, then analyzing to obtain a reasonable sleep environment, and then scoring the sleep quality of each user during sleep, so as to find out in what state and under what environment the user has the best sleep quality, and then recommend the best sleep environment and sleep state to the user.

[0069] A sleep quality detection system, comprising:

[0070] A sleep monitoring module. When the user is sleeping, place the state acquisition device on the arm, and obtain the data of the change in the state of the body trunk through the state acquisition device;

[0071] An environment monitoring module, which detects the environmental information data in the user's sleep environment, including the temperature, humidity, light, sound, and gas information of the environment;

[0072] An analysis module, which statistically analyzes the environmental information of historical users in the normal sleep state and the environmental information values of historical users in the abnormal sleep state;

[0073] A recommendation module, which provides suggestions for improving the sleep environment for the user according to the environmental information of historical users in the normal sleep state and the environmental information of historical users in the abnormal sleep state;

[0074] A control and processing module, which analyzes the data in the sleep monitoring module and the environment detection module, and recommends the user's sleep environment through the data of the analysis module.

[0075] In summary, by collecting the environmental information of the user during sleep, the environmental factors affecting sleep quality are analyzed, and reasonable suggestions for improving sleep quality are put forward to the user.

[0076] Although the embodiments of the present invention have been shown and described, for those of ordinary skill in the art, it can be understood that various changes, modifications, substitutions, and variations can be made to these embodiments without departing from the principle and spirit of the present invention. The scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A sleep quality monitoring method, characterized in that, Specifically, it includes the following steps: When the user is sleeping, wear the state acquisition device on the arm, and obtain the body trunk state change data through the state acquisition device; Detect the environmental information data in the user's sleep environment; Statistically analyze the environmental information of historical users in the normal sleep state, and analyze the environmental information data in the normal sleep state; Statistically analyze the environmental information values of historical users in the abnormal sleep state. If there are values in the detected environmental information data that are abnormal compared to other values, regard this data as abnormal data and store the environmental information data that affects sleep quality; Based on the analysis of the environmental information of historical users in the normal sleep state and the environmental information of historical users in the abnormal sleep state, provide suggestions for the user to improve the sleep environment.

2. The sleep quality monitoring method according to claim 1, characterized in that Detecting the environmental information in the user's sleep environment specifically includes the following: Detect and record the temperature, humidity, light, sound, and gas information of the sleep environment where the user is located.

3. The sleep quality monitoring method according to claim 2, wherein The state acquisition device is an arm-worn acquisition device, mainly monitored by a gyroscope; Among them, when the user is sleeping, wearing the state acquisition device on the arm and obtaining the body trunk state change data through the state acquisition device specifically includes the following steps: Measure the average acceleration of each axis and the average acceleration representing the exercise intensity index for determination; The specific formula is as follows: Where: E represents the average absolute difference of acceleration; A N represents the acceleration value collected at each moment; A V represents the arithmetic mean of acceleration.

4. A sleep quality detection method according to claim 3, characterized in that, Create an array Y for detecting flips, detect it within a certain period of time, detect it every 30 seconds to 1 minute, Y = W indicates that a flip has occurred, and Y = Q indicates that no flip has occurred; After the detection is completed, store the values "W" and "Q" in Y, and statistically store multiple data groups T; Analyze the number of adjacent data "W" and "Q" in the data group T. If it is less than 35, it is determined as abnormal sleep; if it is greater than or equal to 35, it is determined as normal sleep.

5. A sleep quality detection method according to claim 4, characterized in that, Define the ratio of the daily normal sleep time to the daily total sleep time as the sleep quality score, and evaluate the sleep quality through the sleep quality score.

6. The sleep quality monitoring method according to claim 5, characterized in that, The sleep quality score is specifically calculated as follows: Where: v represents the sleep quality score; r represents the normal sleep time per day; r a represents the total sleep time per day.

7. A sleep quality detection method according to claim 6, characterized in that It also includes sleep quality scoring. The sleep quality scoring method is calculated according to the following formula: In the formula: f(x) represents the sleep quality evaluation data, G represents the sleep quality threshold, and the sleep quality status is defined by the threshold. If the sleep quality score is greater than the threshold, it is evaluated as good sleep quality; if it is less than the threshold, it is evaluated as poor sleep quality.

8. A sleep quality detection method according to claim 7, characterized in that The specific method for detecting and recording the temperature, humidity, light, sound, and gas information of the sleep environment where the user is located is as follows: Measure them respectively with a temperature and humidity sensor module, a light detection sensor, a sound detection sensor, and a gas detection sensor.

9. A sleep quality detection system, characterized in that, It includes: A sleep monitoring module. When the user is sleeping, wear the state acquisition device on the arm, and obtain the body trunk state change data through the state acquisition device; An environmental monitoring module that detects the environmental information data in the user's sleep environment, including the temperature, humidity, light, sound, and gas information of the environment; An analysis module that statistically analyzes the environmental information of historical users in the normal sleep state and statistically analyzes the environmental information values of historical users in the abnormal sleep state; A suggestion module, which provides suggestions for users to improve the sleep environment according to the environmental information of historical users in normal sleep states and the environmental information of historical users in abnormal sleep states; A control and processing module, which analyzes the data in the sleep monitoring module and the environmental detection module, and recommends the sleep environment for users through the data of the analysis module.

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