CN113288095B - Sleep health management method and system for calculating sleep cycle based on physical activity and heart rate information - Google Patents
Sleep health management method and system for calculating sleep cycle based on physical activity and heart rate information Download PDFInfo
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Abstract
The invention discloses a sleep health management method and system for calculating sleep cycles based on physical activity and heart rate information, which comprises the following steps: calculating a body movement time-sharing (1 minute) energy sequence, simultaneously recording a heart rate time-sharing sequence of a user, outputting resting heart rates of lying and non-lying, and distinguishing a rest/night sleep time interval according to the information; removing time-sharing energy time periods of low body movement, time periods when the period heart rate is not consistent with the resting heart rate of lying/non-lying and the period body movement does not cause the rise of the heart rate; filtering intervals which do not accord with periodicity in the measurement time interval, and then finding out intervals which are quiet, but have rising heart rate and fluctuation exceeding a threshold value as REM intervals of sleeping at night; according to the extreme point distance sequence of the heartbeat signal, further obtaining a heartbeat cycle result, and calculating a sleep cycle N contained in sleep; and starting an intelligent alarm clock or vibrating to awaken the user every time the complete sleep cycle N is finished, and after awakening, giving evaluation by the user to adjust N.
Description
Technical Field
The invention relates to the technical field of water surface health management, in particular to a sleep health management method and system for calculating a sleep cycle based on physical activity and heart rate information.
Background
Along with the popularization of intelligent equipment, a user can use an intelligent watch, a bracelet, an intelligent bed belt and the like to collect body movement and heart rate signals to conduct sleep evaluation, and the method is simple and easy to implement.
Current sleep assessment focuses on sleep staging, classifying periods of 30s or 1 minute, waking, light sleep, deep sleep, rapid eye movement, for standard Polysomnography (PSG), based on local characteristics of body movement or heart rate. The analysis method only enables the user to pay attention to the proportion of each stage, and the user especially pays attention to the deep sleep of the user. Due to the stability of the deep sleep ratio, the compensation capability after deprivation and the change of the classification accuracy, the user can be lost in the display of the occupation ratios, the user cannot effectively evaluate and manage the sleep quality according to the data, and the data utilization condition is low, so that the method and the system for sleep health management based on the physical activity and heart rate information to calculate the sleep cycle are provided for solving the problems.
Disclosure of Invention
The present invention is directed to a method and system for sleep health management based on physical activity and heart rate information to calculate sleep cycles, so as to solve the problems mentioned in the background art.
In order to achieve the purpose, the invention provides the following technical scheme: a method of sleep health management for calculating sleep cycles based on physical activity and heart rate information, comprising the steps of:
s1, recording the time interval of user' S rest and night sleep
Calculating a body movement time-sharing energy sequence, and simultaneously recording a heart rate time-sharing sequence of a user;
outputting resting heart rates of lying and non-lying;
distinguishing rest time intervals and night sleep time intervals according to the body movement time-sharing energy sequence and resting heart rates of lying and non-lying;
s2, eliminating the area time of the user without the acquisition equipment
Rejecting a time period in which the heart rate in the time-sharing energy time period of low body movement does not accord with the resting heart rate of lying and non-lying and a time period in which the heart rate does not rise during body movement in the time-sharing time period;
s3, determining the REM interval of night sleep
Filtering intervals which do not accord with periodicity in the measurement time interval, and then finding out intervals which are quiet, but have rising heart rate and fluctuation exceeding a threshold value as REM intervals of sleeping at night;
s4, determining waking interval
Taking an interval in which the body movement exceeds a threshold value and the heart rate rises to exceed a non-lying resting heart rate in the measurement time interval as a waking interval;
s5, determining sleep cycle of user
Calculating a sleep cycle N included in sleep according to the natural sleep habit of the user;
obtaining a heartbeat cycle result according to the extreme point distance sequence of the heartbeat signal;
s6, determining the awakening time
Starting an intelligent alarm clock or vibrating to awaken the user every time when the complete sleep cycle N is finished, and after awakening, giving an evaluation on spirit, generality or drowsiness to the user to adjust N;
s7 sleep quality evaluation
According to the stability of a plurality of night sleep cycles and the variability data of the heart rate of each sleep cycle, the difference between the duration and the average value of each sleep cycle, the difference between the heart rate variability and the average value during REM and the difference between the sleep starting time and the average value are obtained, and the sleep health of the user is evaluated and suggested.
In a preferred embodiment, in step S1, the time-sharing time of the body movement time-sharing energy sequence is 1 minute, the body movement time-sharing energy sequence is represented by data of the acceleration of the hand of the user, and the hand resting data and the corresponding heart rate when the user lies flat, and the hand movement acceleration data and the corresponding heart rate when the user does not lie flat are output, so as to distinguish the time intervals of a nap and a night sleep.
In a preferred embodiment, in step S3, the method for filtering the interval of the measurement time interval that does not conform to the periodicity includes: setting the order of a filter, then carrying out segmented filtering on the mixed signal, selecting a distortion-free range after each segment of the mixed signal is independently filtered to obtain an average template of the periodic signal, selecting a part from an extreme point of the periodic signal to the head part or the tail part of the signal, where the signal is distorted, replacing the distorted part of the signal by using the average template, normalizing the amplitude of the boundary fixed point of each segment of the signal, splicing the signal, and thus removing the influence of external noise.
In a preferred embodiment, in step S5, the method for obtaining a heartbeat cycle result according to the extreme distance sequence of the heartbeat signal includes: calculating the heights of all suprachoroidal waveform extreme points and obtaining an average height; judging whether the heights of all suprachoroidal waveform extreme points are larger than the value obtained by multiplying the average height by a proportionality coefficient, if so, executing the next step; if not, searching the extreme point of the suprachoroidal waveform of the heartbeat signal again; detecting the difference arrays of the extreme points, judging the difference value and the average difference value of each difference array, obtaining the venation pile number of the heartbeat signals, and converting the pile number into heartbeat intervals; obtaining an extreme point in the heartbeat signal according to the minimum extreme value distance limit after the obtained heartbeat interval is multiplied by a proportionality coefficient; and solving the difference average value of the extreme points of the heartbeat signal to obtain the average length of the heartbeat cycle in the current time period, so as to obtain the heartbeat frequency within one minute and further obtain the heartbeat signal cycle result.
In a preferred embodiment, in step S6, the N interval between two adjacent complete sleep cycles is used as a wake-up period, the wake-up time is set before the midpoint of the wake-up period as a first wake-up time, the wake-up time is set at the midpoint of the wake-up period as a second wake-up time, the wake-up time is set after the midpoint of the wake-up period as a third wake-up time, and different wake-up rings are used as wake-up modes.
A system for sleep health management for computing sleep cycles based on physical activity and heart rate information, comprising:
the data acquisition module is used for acquiring change data of the acceleration of the hand of the user, using the change data of the acceleration of the hand of the user to embody a body motion time-sharing energy sequence, realizing the acquisition and recording of the body motion time-sharing energy sequence and simultaneously acquiring the heart rate change of the user;
the data analysis module is used for filtering the acquired data, comparing the heart rate in the time-sharing energy time period of low body movement with the resting heart rate of lying and the resting heart rate of non-lying, eliminating the time period in the time-sharing time period in which the heart rate does not rise during body movement, and determining the REM interval of sleeping at night, the waking interval, the sleep cycle of the user, the heart cycle result and the waking time;
the waking module is used for waking up the waking period of the user after the complete sleep period is finished by combining the sleep period according to the waking time period set by the user, so that the fatigue caused by waking up the user in deep sleep is avoided;
the evaluation module is used for evaluating the mental state of the user after the user wakes up for a single time, and evaluating the whole sleep quality of the system according to the body movement and heartbeat data of the user in the sleep process, so that the sleep health can be managed conveniently;
and the central processing unit is used for coordinating the modules to work, calling corresponding data in each database in the authority of the central processing unit by the data calling command, and sending the control commands to the corresponding modules.
An embodiment of the optimization, the data acquisition module includes acceleration sensor and rhythm of the heart data collection station, acceleration sensor and the equal fixed mounting of rhythm of the heart data collection station are on the bracelet, wear on user's wrist through the bracelet to gather user's arm acceleration as the body motion characteristic, heartbeat data is used for the rhythm of the heart characteristic.
In a preferred embodiment, the data analysis module includes an invalid elimination unit, a filtering processing unit and a period calculation unit, and is configured to process the acquired data and calculate a sleep period.
Compared with the prior art, the invention has the beneficial effects that: the sleep quality evaluation method comprises the steps of collecting body movement time-sharing energy sequences when a user lies and does not lie, recording the heart rate time-sharing sequences of the user at the same time, outputting resting heart rates of the lying and the non-lying, setting a preset sleep threshold value, collecting physiological characteristic data according to the sleeping time of the user, determining a sleep cycle of the user, waking up a user in a waking period after the user completes the complete sleep cycle according to the sleep time period set by the user, avoiding fatigue caused by waking up the user in deep sleep, carrying out single evaluation according to the mental state after the user wakes up, evaluating the overall sleep quality according to body movement and heartbeat data in the sleeping process of the user by combining the sleep cycle, managing the sleep health conveniently, effectively utilizing the data, and assisting the user to know the sleep health.
Drawings
FIG. 1 is a schematic diagram of the process of the present invention;
FIG. 2 is a schematic diagram of the system of the present invention;
FIG. 3 is a schematic diagram of a data acquisition module according to the present invention;
FIG. 4 is a schematic diagram of a data analysis module according to the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1-4, the present invention provides a technical solution: a method of sleep health management for calculating sleep cycles based on physical activity and heart rate information, comprising the steps of:
s1, recording the time interval of user' S rest and night sleep
Calculating a body movement time-sharing energy sequence, and simultaneously recording a heart rate time-sharing sequence of a user;
outputting resting heart rates of lying and non-lying;
distinguishing rest time intervals and night sleep time intervals according to the body movement time-sharing energy sequence and resting heart rates of lying and non-lying;
s2, eliminating the area time of the user without the acquisition equipment
Rejecting a time period in which the heart rate in the time-sharing energy time period of low body movement does not accord with the resting heart rate of lying and non-lying and a time period in which the heart rate does not rise during body movement in the time-sharing time period;
s3, determining the REM interval of night sleep
Filtering intervals which do not accord with periodicity in the measurement time interval, and then finding out intervals which are quiet, but have rising heart rate and fluctuation exceeding a threshold value as REM intervals of sleeping at night;
s4, determining waking interval
Taking an interval in which the body movement exceeds a threshold value and the heart rate rises to exceed a non-lying resting heart rate in the measurement time interval as a waking interval;
s5, determining sleep cycle of user
Calculating a sleep cycle N included in sleep according to the natural sleep habit of the user;
obtaining a heartbeat cycle result according to the extreme point distance sequence of the heartbeat signal;
s6, determining the awakening time
Starting an intelligent alarm clock or vibrating to awaken the user every time when the complete sleep cycle N is finished, and after awakening, giving an evaluation on spirit, generality or drowsiness to the user to adjust N;
s7 sleep quality evaluation
And according to the stability of a plurality of night sleep cycles and the variability data of the heart rate of each sleep cycle, obtaining the difference between the duration and the mean value of each sleep cycle, the difference between the heart rate variability and the mean value during REM and the difference between the sleep starting time and the mean value, and evaluating and suggesting the sleep health of the user.
In a preferred embodiment, in step S1, the time-sharing time of the body movement time-sharing energy sequence is 1 minute, the body movement time-sharing energy sequence is represented by the variation data of the acceleration of the user ' S hand, and the resting and corresponding heart rate of the user ' S hand when lying flat, and the movement acceleration data and corresponding heart rate of the user ' S hand when not lying flat are output, so as to distinguish the rest time interval from the night sleep time interval.
In a preferred embodiment, in step S3, the method for filtering the interval of the measurement time interval that does not conform to the periodicity includes: setting the order of a filter, then carrying out segmented filtering on the mixed signal, selecting a distortion-free range after each segment of the mixed signal is independently filtered to obtain an average template of the periodic signal, selecting a part from an extreme point of the periodic signal to the head part or the tail part of the signal, where the signal is distorted, replacing the distorted part of the signal by using the average template, normalizing the amplitude of the boundary fixed point of each segment of the signal, splicing the signal, and thus removing the influence of external noise.
In a preferred embodiment, in step S5, the method for obtaining a heartbeat cycle result according to the extreme distance sequence of the heartbeat signal includes: calculating the heights of all suprachoroidal waveform extreme points and obtaining an average height; judging whether the heights of all the suprachoroidal waveform extreme points are larger than the value obtained by multiplying the average height by the proportionality coefficient, if so, executing the next step; if not, searching the extreme point of the suprachoroidal waveform of the heartbeat signal again; detecting the difference arrays of the extreme points, judging the difference value and the average difference value of each difference array, obtaining the venation pile number of the heartbeat signals, and converting the pile number into heartbeat intervals; obtaining an extreme point in the heartbeat signal according to the minimum extreme value distance limit after the obtained heartbeat interval is multiplied by a proportionality coefficient; and solving the difference average value of the extreme points of the heartbeat signal to obtain the average length of the heartbeat cycle in the current time period, so as to obtain the heartbeat frequency within one minute and further obtain the heartbeat signal cycle result.
In a preferred embodiment, in step S6, the N interval between two adjacent complete sleep cycles is used as a wake-up period, the wake-up time is set before the midpoint of the wake-up period as a first wake-up time, the wake-up time is set at the midpoint of the wake-up period as a second wake-up time, the wake-up time is set after the midpoint of the wake-up period as a third wake-up time, and different wake-up rings are used as wake-up modes.
A system for sleep health management for computing sleep cycles based on physical activity and heart rate information, comprising:
the data acquisition module is used for acquiring change data of the acceleration of the hand of the user, using the change data of the acceleration of the hand of the user to embody a body motion time-sharing energy sequence, realizing the acquisition and recording of the body motion time-sharing energy sequence and simultaneously acquiring the heart rate change of the user;
the data analysis module is used for carrying out filtering processing on the acquired data, comparing the heart rate in the time-sharing energy time period with the lying and non-lying resting heart rates, and eliminating the time period in the time-sharing time period in which the heart rate does not rise due to body movement, and is used for determining the REM interval, the waking interval, the sleep cycle of the user, the heart cycle result and the waking time of the night sleep;
the waking module is used for waking up the waking period of the user after the complete sleep period is finished by combining the sleep period according to the waking time period set by the user, so that fatigue caused by waking up the user in deep sleep is avoided;
the evaluation module is used for evaluating the mental state of the user after the user wakes up for a single time, and evaluating the whole sleep quality of the system according to the body movement and heartbeat data of the user in the sleep process, so that the sleep health can be managed conveniently;
and the central processing unit is used for coordinating the modules to work, calling corresponding data in each database in the authority of the data calling command, and sending the control commands to the corresponding modules.
In an embodiment of the present invention, the data acquisition module includes an acceleration sensor and a heart rate data acquisition unit, the acceleration sensor and the heart rate data acquisition unit are both fixedly mounted on the bracelet and worn on the wrist of the user through the bracelet, so as to acquire the acceleration of the arm of the user as the physical and dynamic characteristics, and the heartbeat data is used for the heart rate characteristics.
In a preferred embodiment, the data analysis module includes an invalid removing unit, a filtering unit and a period calculating unit, and is configured to process the collected data and calculate a sleep period.
The working principle is as follows: according to the invention, the body movement time-sharing energy sequence of the user when the user lies flat and the body movement time-sharing energy sequence of the user when the user does not lie flat are collected, the heart rate time-sharing sequence of the user is recorded at the same time, the resting heart rate of the user when the user lies flat and the resting heart rate of the user when the user does not lie flat are output, so that a preset sleep threshold value is set, the sleep cycle of the user is determined according to the collection of physiological characteristic data of the user when the user sleeps, the waking time period of the user after the complete sleep cycle is completed is awakened according to the sleep cycle, the fatigue caused by the user being awakened in deep sleep is avoided, single evaluation is carried out according to the mental state of the user after the user is awakened, and the system carries out sleep overall quality evaluation according to the body movement and heartbeat data of the user in the sleep process, so that the sleep health is managed, the data is effectively utilized, and the user is assisted in knowing the sleep health of the user.
Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (8)
1. A method of sleep health management for calculating sleep cycles based on physical activity and heart rate information, comprising the steps of:
s1, recording the time interval of user' S rest and night sleep
Calculating a body movement time-sharing energy sequence, and simultaneously recording a heart rate time-sharing sequence of a user;
outputting resting heart rates of lying down and non-lying down;
distinguishing rest time intervals and night sleep time intervals according to the body movement time-sharing energy sequence and resting heart rates of lying and non-lying;
s2, eliminating the area time of the user without the acquisition equipment
Rejecting a time period in which the heart rate in the time-sharing energy time period of low body movement does not accord with the resting heart rate of lying and non-lying and a time period in which the heart rate does not rise during body movement in the time-sharing time period;
s3, determining the REM interval of night sleep
Filtering intervals which do not accord with periodicity in the measurement time interval, and then finding out intervals which are quiet, but have rising heart rate and fluctuation exceeding a threshold value as REM intervals of sleeping at night;
s4, determining waking interval
Taking the interval in which the body movement exceeds the threshold value and the heart rate rises to exceed the non-lying resting heart rate in the measurement time interval as a waking interval;
s5, determining sleep cycle of user
Calculating a sleep cycle N included in sleep according to the natural sleep habit of the user;
obtaining a heartbeat cycle result according to the extreme point distance sequence of the heartbeat signal;
s6, determining the awakening time
Starting an intelligent alarm clock or vibrating to awaken the user every time when the complete sleep cycle N is finished, and after awakening, giving an evaluation on spirit, generality or drowsiness to the user to adjust N;
s7 sleep quality evaluation
And according to the stability of a plurality of night sleep cycles and the variability data of the heart rate of each sleep cycle, obtaining the difference between the duration and the mean value of each sleep cycle, the difference between the heart rate variability and the mean value during REM and the difference between the sleep starting time and the mean value, and evaluating and suggesting the sleep health of the user.
2. The method of calculating sleep health management for sleep cycles based on physical activity and heart rate information of claim 1, wherein: in step S1, the time-sharing time of the body movement time-sharing energy sequence is 1 minute, the body movement time-sharing energy sequence is represented by the variation data of the acceleration of the hand of the user, and the resting time of the hand and the corresponding heart rate when the user lies flat, and the movement acceleration data of the hand and the corresponding heart rate when the user does not lie flat are output, so as to distinguish the time intervals of a nap and a night sleep.
3. The method of calculating sleep health management for sleep cycles based on physical activity and heart rate information of claim 1, wherein: in step S3, the method for filtering the interval that does not conform to the periodicity in the measurement time interval includes: setting the order of a filter, then carrying out segmented filtering on the mixed signal, selecting a distortion-free range after each segment of the mixed signal is independently filtered to obtain an average template of the periodic signal, selecting a part from an extreme point of the periodic signal to the head part or the tail part of the signal, where the signal is distorted, replacing the distorted part of the signal by using the average template, normalizing the amplitude of the boundary fixed point of each segment of the signal, splicing the signal, and thus removing the influence of external noise.
4. The method of calculating sleep health management for sleep cycles based on physical activity and heart rate information of claim 1, wherein: in step S5, the method for obtaining a heartbeat cycle result according to the extreme point distance sequence of the heartbeat signal includes: calculating the heights of all suprachoroidal waveform extreme points and obtaining an average height; judging whether the heights of all suprachoroidal waveform extreme points are larger than the value obtained by multiplying the average height by a proportionality coefficient, if so, executing the next step; if not, searching the extreme point of the suprachoroidal waveform of the heartbeat signal again; detecting the difference arrays of the extreme points, judging the difference value and the average difference value of each difference array, obtaining the venation pile number of the heartbeat signals, and converting the pile number into heartbeat intervals; obtaining an extreme point in the heartbeat signal according to the minimum extreme value distance limit after the obtained heartbeat interval is multiplied by a proportionality coefficient; and solving the difference average value of the extreme points of the heartbeat signal to obtain the average length of the heartbeat cycle in the current time period, so as to obtain the heartbeat frequency within one minute and further obtain the heartbeat signal cycle result.
5. The method of calculating sleep health management for sleep cycles based on physical activity and heart rate information of claim 1, wherein: in step S6, the N interval between two adjacent complete sleep cycles is used as a wake-up period, the wake-up time is set before the midpoint of the wake-up period and is used as a first wake-up time, the wake-up time is set at the midpoint of the wake-up period and is used as a second wake-up time, the wake-up time is set after the midpoint of the wake-up period and is used as a third wake-up time, and different wake-up rings are used as wake-up modes.
6. A system for sleep health management based on physical activity and heart rate information for a method of any of claims 1 to 5 for sleep health management based on physical activity and heart rate information for a sleep cycle, comprising:
the data acquisition module is used for acquiring the change data of the acceleration of the hand of the user, using the change data of the acceleration of the hand of the user to embody a body motion time-sharing energy sequence, realizing the acquisition and the recording of the body motion time-sharing energy sequence and acquiring the heart rate change of the user;
the data analysis module is used for carrying out filtering processing on the acquired data, comparing the heart rate in the time-sharing energy time period with the lying and non-lying resting heart rates, eliminating the time period in the time-sharing time period when the body moves and the heart rate does not rise, and determining the REM interval, the waking interval, the sleep cycle of the user, the heart cycle result and the waking time of the night sleep;
the waking module is used for waking up the waking period of the user after the complete sleep period is finished by combining the sleep period according to the waking time period set by the user, so that the fatigue caused by waking up the user in deep sleep is avoided;
the evaluation module is used for evaluating the mental state of the user after the user wakes up for a single time, and evaluating the whole sleep quality of the system according to the body movement and heartbeat data of the user in the sleep process, so that the sleep health can be managed conveniently;
and the central processing unit is used for coordinating the modules to work, calling corresponding data in each database in the authority of the central processing unit by the data calling command, and sending the control commands to the corresponding modules.
7. The system for sleep health management based on physical activity and heart rate information to calculate sleep cycles of claim 6, wherein: the data acquisition module includes acceleration sensor and rhythm of the heart data collection station, the equal fixed mounting of acceleration sensor and rhythm of the heart data collection station is worn in user's wrist through the bracelet on the bracelet to gather user's arm acceleration as the body movement characteristic, heartbeat data is used for the rhythm of the heart characteristic.
8. The system for sleep health management based on physical activity and heart rate information to calculate sleep cycles of claim 6, wherein: the data analysis module comprises an invalid elimination unit, a filtering processing unit and a period calculation unit and is used for processing the acquired data and calculating the sleep period.
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| CN114145717B (en) * | 2021-12-08 | 2024-06-25 | 四川北易信息技术有限公司 | Sleep state analysis method based on PPG heart rate characteristic parameters and exercise amount |
| CN115501439B (en) * | 2022-09-21 | 2024-01-12 | 杨金刚 | AI-based sleep awakening system and method |
| CN116269221B (en) * | 2023-02-21 | 2024-08-02 | 广东壹健康健康产业集团股份有限公司 | Device and system for evaluating body, mind, body and qi and blood |
| CN116035536B (en) * | 2023-03-14 | 2023-06-30 | 安徽星辰智跃科技有限责任公司 | Method, system and device for detecting and quantifying sleep activity level |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102448368A (en) * | 2009-06-04 | 2012-05-09 | 皇家飞利浦电子股份有限公司 | Method and system for providing behavioural therapy for insomnia |
| CN103976717A (en) * | 2014-04-15 | 2014-08-13 | 德赛电子(惠州)有限公司 | Multidimensional sleeping quality monitoring method and system |
| CN104257387A (en) * | 2014-09-23 | 2015-01-07 | 京东方科技集团股份有限公司 | Sleep awakening system and method |
| CN109937010A (en) * | 2016-09-16 | 2019-06-25 | 伯斯有限公司 | Sleep quality scoring and improvement |
| TWM596631U (en) * | 2020-01-31 | 2020-06-11 | 徐文雄 | Auxiliary system for efficient sleep optimization |
| CN111642933A (en) * | 2020-06-30 | 2020-09-11 | 广东珞珈睡眠科技有限公司 | Pressure distribution monitoring feedback system of intelligent mattress |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US10532183B2 (en) * | 2017-09-06 | 2020-01-14 | Arenar Group B.V. | Sleep improvement device and method for improving sleep |
-
2021
- 2021-05-24 CN CN202110567820.9A patent/CN113288095B/en active Active
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102448368A (en) * | 2009-06-04 | 2012-05-09 | 皇家飞利浦电子股份有限公司 | Method and system for providing behavioural therapy for insomnia |
| CN103976717A (en) * | 2014-04-15 | 2014-08-13 | 德赛电子(惠州)有限公司 | Multidimensional sleeping quality monitoring method and system |
| CN104257387A (en) * | 2014-09-23 | 2015-01-07 | 京东方科技集团股份有限公司 | Sleep awakening system and method |
| CN109937010A (en) * | 2016-09-16 | 2019-06-25 | 伯斯有限公司 | Sleep quality scoring and improvement |
| TWM596631U (en) * | 2020-01-31 | 2020-06-11 | 徐文雄 | Auxiliary system for efficient sleep optimization |
| CN111642933A (en) * | 2020-06-30 | 2020-09-11 | 广东珞珈睡眠科技有限公司 | Pressure distribution monitoring feedback system of intelligent mattress |
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