CN106725382A - Sleep state judgement system and method based on action and HRV measurements - Google Patents
Sleep state judgement system and method based on action and HRV measurements Download PDFInfo
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/02—Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
- A61B5/0205—Simultaneously evaluating both cardiovascular conditions and different types of body conditions, e.g. heart and respiratory condition
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/0059—Measuring for diagnostic purposes; Identification of persons using light, e.g. diagnosis by transillumination, diascopy, fluorescence
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/02—Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/02—Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
- A61B5/024—Detecting, measuring or recording pulse rate or heart rate
- A61B5/02405—Determining heart rate variability
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/103—Detecting, measuring or recording devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
- A61B5/11—Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb
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- A61B5/4809—Sleep detection, i.e. determining whether a subject is asleep or not
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- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/48—Other medical applications
- A61B5/4806—Sleep evaluation
- A61B5/4812—Detecting sleep stages or cycles
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B2562/00—Details of sensors; Constructional details of sensor housings or probes; Accessories for sensors
- A61B2562/02—Details of sensors specially adapted for in-vivo measurements
- A61B2562/0219—Inertial sensors, e.g. accelerometers, gyroscopes, tilt switches
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Abstract
The invention discloses a kind of sleep state judgement system based on action and HRV measurements, including 3-axis acceleration sensor module, limb action number computing module, optical sensor module, pulse wave signal computing module, heart rate and heartbeat interval computing module, heart rate variability metrics computing module, the sleep state computing module for sequentially connecting.Collect human body limb three-dimensional acceleration data in setting time；Calculate the limb action quantity within this time；The skin surface light intensity change information that blood flow volume change causes in detection user's blood vessel；Obtain pulse wave signal；Calculate heart rate and often fight the eartbeat interval time；Heart rate or heartbeat time interval sequence are analyzed, the index of correlation of HRV is obtained；Using sleep state, algorithm model calculates sleep quality state by stages.The present invention substantially increases the accuracy and convenience of sleep quality status monitoring, effectively instructs people to improve the health care of sleep state and arranges the reasonable length of one's sleep to adjust condition.
Description
Technical field
The present invention relates to sleep state monitoring technical field, more particularly to a kind of sleep based on action and HRV measurements
Condition discrimination system and method.
Background technology
Sleep is the important physiological activity that everyone is required for carrying out, and sleep can help human body to set up, and alleviates feelings
Thread, therefore the normal life of the sleep to people of abundance is very necessary.In modern society, with the people of the symptoms such as insomnia, somnolence
Not within minority, usually the life on daytime to people makes a big impact, and frequently results in other mind ＆ body problems.Due to sleep
When human body physiological state with it is clear-headed when have very big difference, human body does not have sense of independence under sleep state, generally cannot self understand
The sleep state of self, and sleep state lower body there occurs which changes.Therefore sleep quality is differentiated using certain means
State and display sleep state change have very benefit greatly to everybody, especially understand dormant change feelings
Condition, the treatment of the illness related to sleep to some also has very great help.
Current maximally effective sleep state method of discrimination is to measure the brain wave under human body hypnagogic state, by observing brain electricity
The waveform change of ripple, it can be seen directly that dormant situation of change.But needed in head-mount brain during brain wave
Electrical wave measurement's instrument, greatly interference can be caused to sleep, in daily life without operability.
On the market existing utilization wearable device using 3-axis acceleration sensor measurement human body wrist movement method come
User's sleep state is judged, especially by wrist movement number of times per minute in whole section of sleep of statistics user, Ran Houli
Residing sleep state per minute in whole section of user sleep (including clear-headed, shallow sleep, sound sleep) is judged with the method for segment processing.
This mode is to a certain extent effective, and it is exactly to fall asleep with waking state most directly to embody, and human body is moved
The number of times of work has notable difference, as long as therefore measure the size of this difference, just can accurately judge very much human body be in it is clear-headed also
Under being sleep state.But substantially, the foundation of segmentation of sleeping as previously described is brain wave, therefore in a sleep state, human body
It is to be slept or sound sleep in shallow, or REM sleep, the discriminant approach of unique entirely accurate is that human body electroencephalogram's ripple is measured
And classify.Act the relevance electric with brain in a sleep state due to human body very faint, surveyed using 3-axis acceleration sensor
Measure wrist movement size or quantity, then differentiate accordingly human body be in it is shallow sleep or sound sleep be completely it is inaccurate.
The content of the invention
Based on the problem that above-mentioned prior art is present, the present invention proposes a kind of sleep shape based on action and HRV measurements
State judgement system and method, by detecting that human body limb acts number, and the change of skin surface light intensity realizes that human body HRV is detected,
And sleep quality state is monitored accordingly.
A kind of sleep state judgement system based on action and HRV measurements of the invention, the system includes what is sequentially connected
3-axis acceleration sensor module 101, limb action number computing module 102, optical sensor module 103, pulse wave signal meter
Calculate module 104, heart rate and heartbeat interval computing module 105, heart rate variability metrics computing module 106, sleep state calculate mould
Block 107；Wherein：
3-axis acceleration sensor module 101, for measuring human body limb acceleration signal；
Limb action number computing module 102, time of the limbs in systemic presupposition is calculated according to human body limb acceleration signal
Interior action number；
Optical sensor module 103, for the blood in detection user's blood vessel after at least one LED light irradiation skin surface
The skin surface light intensity change information that fluid capacitance product change causes；
Pulse wave signal computing module 104, pulse wave signal is obtained according to light intensity change information；
Heart rate and heartbeat interval computing module 105, for calculating heart rate and often fighting the eartbeat interval time；
Heart rate variability metrics computing module 106, becomes for being analyzed acquisition heart rate to heart rate or heartbeat interval sequence
The index of correlation of the opposite sex, time domain and/or frequency domain are carried out using to the heart rate in systemic presupposition certain hour or heartbeat interval sequence
The method of analysis；
Sleep state computing module 107, according to limb action number and the index of correlation of HRV, using mould of sleeping
Type calculates sleep state；
The sleep model 108, for description action number and heart rate variability metrics pass respectively between sleep state
System.
A kind of sleep state method of discrimination based on action and HRV measurements of the invention, the method is comprised the following steps：
Step 1, using human body limb three-dimensional acceleration data in 3-axis acceleration sensor module collection setting time；
Step 2, using limb action number computing module according to three-dimensional acceleration data, calculate the limb action within this time
Quantity；
Step 3, the blood flow volume change in user's blood vessel is detected after green glow irradiates skin surface using optical detecting module
The skin surface light intensity change information for causing；
Step 4, pulse wave signal is obtained according to above-mentioned light intensity change information using pulse wave signal computing module；
Step 5, heart rate is calculated using heart rate and eartbeat interval computing module and is often fought the eartbeat interval time；
Step 6, heart rate or heartbeat time interval sequence are analyzed using heart rate variability metrics computing module, obtained
The index of correlation of HRV, that is, use carries out time domain to the heart rate in the systemic presupposition time or heartbeat time interval sequence
And/or the method for frequency-domain analysis；
Step 7, using sleep state computing module according to limb action number and both indexs of HRV and human body
Algorithm model calculates sleep quality state to the sleep state that dormant relation is set up by stages.
Compared with prior art, the present invention substantially increases the accuracy and convenience of sleep quality status monitoring, economical
Practicality, can effectively instruct people to improve the health care of sleep state and arrange the reasonable length of one's sleep to adjust condition, with more extensive
Range of application.
Brief description of the drawings
Fig. 1 is the sleep state judgement system structural representation based on action and HRV measurements of the invention；
Fig. 2 is the sleep state method of discrimination overall flow schematic diagram based on action and HRV measurements of the invention.
Specific embodiment
The present invention is described in further detail with specific embodiment below in conjunction with the accompanying drawings.
As shown in figure 1, be the sleep state judgement system structural representation based on action and HRV measurements of the invention, should
System includes following 8 modules：
3-axis acceleration sensor module 101, for measuring human body limb acceleration signal；The 3-axis acceleration sensor
Module is close to wrist, but is not limited only to this, can also be arranged on the positions such as ankle, thorax abdomen；
Limb action number computing module 102, time of the limbs in systemic presupposition is calculated according to human body limb acceleration signal
Interior action number；
Optical sensor module 103, for the blood in detection user's blood vessel after at least one LED light irradiation skin surface
The skin surface light intensity change information that fluid capacitance product change causes；The optical detecting module is close to wrist, but is not limited only to this,
Can also be provided at the positions such as finger, arm, the palm of the hand and chest；
Pulse wave signal computing module 104, pulse wave signal is obtained according to light intensity change information；
Heart rate and heartbeat interval computing module 105, for calculating heart rate and often fighting the eartbeat interval time；
Heart rate variability metrics computing module 106, becomes for being analyzed acquisition heart rate to heart rate or heartbeat interval sequence
The opposite sex index of correlation, can using the heart rate in systemic presupposition certain hour or heartbeat interval sequence are carried out time domain and/or
The method of frequency-domain analysis；
Sleep state computing module 107, according to the index of correlation of described limb action number and HRV, utilizes
Algorithm model calculates sleep state.
The sleep model 108, for description action number and heart rate variability metrics pass respectively between sleep state
System, including but not limited to simple statistics model, artificial neural network, SVMs isotype identification intelligent algorithm model.
By taking specific embodiment as an example, the LED in optical sensor module can be white light LEDs, green light LED or red
Light and near infrared light LED combination, it is optimal with green light LED.It can be the combination of one or more LEDs.The peak value ripple of green light LED
Scope long is 520nm~575nm.
The index of correlation of HRV include but is not limited to LF (low frequency power), HF (high frequency power), TP (general power),
MEAN (phase average value between RR), SDNN (phase population standard deviation between RR), r-MSSD (the square square root of phase difference between RR).
It is of the invention to realize that the sleep state based on action and HRV measurements sentences method for distinguishing, comprise the following steps：
Step 1, accelerate the number of degrees using all human body limb three-dimensionals in 3-axis acceleration sensor module collection certain hour
According to；
Step 2, using limb action number computing module according to three-dimensional acceleration data, calculate the limb action within this time
Quantity；
Step 3, the blood flow volume change in user's blood vessel is detected after green glow irradiates skin surface using optical detecting module
The skin surface light intensity change information for causing；
Step 4, pulse wave signal is obtained according to above-mentioned light intensity change information using pulse wave signal computing module；
Step 5, heart rate is calculated using heart rate and eartbeat interval computing module and is often fought the eartbeat interval time；
Step 6, acquisition is analyzed to heart rate or heartbeat time interval sequence using heart rate variability metrics computing module
The index of correlation of HRV, can use is carried out to the heart rate in systemic presupposition certain hour or heartbeat time interval sequence
Time domain and/or the method for frequency-domain analysis；
Step 7, using sleep state computing module according to limb action number and both indexs of HRV and human body
Algorithm model calculates sleep quality state to the sleep state that dormant relation is set up by stages.
The content of above-mentioned steps of the present invention is illustrated by the following examples：
The utilization pulse wave signal computing module of step 3 obtains pulse wave signal according to light intensity change information, and it is specially：
The signal transactings such as denoising are filtered using pulse wave signal computing module to described light intensity change information to obtain
Pulse wave signal.
The utilization heart rate and heartbeat interval computing module of step 4 calculate heart rate and often fight the eartbeat interval time, and it is specially：
Detected by carrying out to pulse wave crest/trough/gradient maxima using heart rate and eartbeat interval computing module or
Spectrum analysis obtains heart rate and often fights the eartbeat interval time.
The utilization sleep state computing module of step 7 according to the index of correlation of limb action number and HRV both
Algorithm model calculates sleep quality state to the sleep state that index is set up with the relation of sleep quality state by stages, and its is specific
For：
Sleep state computing module judges that human body is in waking state or hypnagogic state according to limb action number, further according to
HRV index of correlation and using sleep state by stages algorithm model hypnagogic state carried out it is shallow sleep, sound sleep, REM sleep
By stages.
Sleep state judgement system and method based on action and HRV measurements of the invention, are judged by human action number
Whether human body is in hypnagogic state；Recycle the index of correlation of human body HRV carries out by stages, obtaining at human body to sleep quality process
In the shallow analysis method for sleeping state, deep sleep and REM sleep state.
The above, only presently preferred embodiments of the present invention is used to help understand the method for the present invention and core concept, right
In those of ordinary skill in the art, according to thought of the invention, change is had in specific embodiments and applications
Part, so this specification content should not be construed as limiting the invention.
Claims (5)
1. it is a kind of based on the sleep state judgement system for acting and HRV is measured, it is characterised in that the system includes what is sequentially connected
3-axis acceleration sensor module (101), limb action number computing module (102), optical sensor module (103), pulse wave
Signal of change module (104), heart rate and heartbeat interval computing module (105), heart rate variability metrics computing module (106), sleep
Dormancy state computation module (107)；Wherein：
3-axis acceleration sensor module (101), for measuring human body limb acceleration signal；
Limb action number computing module (102), according to human body limb acceleration signal calculating limbs within the time of systemic presupposition
Action number；
Optical sensor module (103), for the blood flow in detection user's blood vessel after at least one LED light irradiation skin surface
The skin surface light intensity change information that volume change causes；
Pulse wave signal computing module (104), pulse wave signal is obtained according to light intensity change information；
Heart rate and heartbeat interval computing module (105), for calculating heart rate and often fighting the eartbeat interval time；
Heart rate variability metrics computing module (106), for being analyzed acquisition heart rate variability to heart rate or heartbeat interval sequence
Property index of correlation, using carrying out to the heart rate in systemic presupposition certain hour or heartbeat interval sequence time domain and/or frequency domain point
The method of analysis；
Sleep state computing module (107), according to limb action number and the index of correlation of HRV, using model of sleeping
Calculate sleep state；
Sleep model (108), for description action number and heart rate variability metrics relation respectively between sleep state.
2. it is a kind of based on the sleep state method of discrimination for acting and HRV is measured, it is characterised in that the method is comprised the following steps：
Step (1), using human body limb three-dimensional acceleration data in 3-axis acceleration sensor module collection setting time；
Step (2), using limb action number computing module according to three-dimensional acceleration data, calculate the limb action number within this time
Amount；
Step (3), using optical detecting module green glow irradiation skin surface after detect user's blood vessel in blood flow volume change draw
The skin surface light intensity change information for rising；
Step (4), pulse wave signal is obtained according to above-mentioned light intensity change information using pulse wave signal computing module；
Step (5), heart rate is calculated using heart rate and eartbeat interval computing module and is often fought the eartbeat interval time；
Step (6), heart rate or heartbeat time interval sequence are analyzed using heart rate variability metrics computing module, obtain the heart
The index of correlation of rate variability, i.e., using the heart rate in the systemic presupposition time or heartbeat time interval sequence are carried out time domain and/
Or the method for frequency-domain analysis；
Step (7), using sleep state computing module according to limb action number and both indexs of HRV and human body sleeping
Algorithm model calculates sleep quality state to the sleep state that the relation of dormancy state is set up by stages.
3. it is as claimed in claim 2 based on the sleep state method of discrimination for acting and HRV is measured, it is characterised in that the step
Suddenly the utilization pulse wave signal computing module of (3) obtains pulse wave signal according to light intensity change information, and it is specially：
The signal transactings such as denoising are filtered to described light intensity change information and obtain pulse wave signal.
4. it is as claimed in claim 5 based on the sleep state method of discrimination for acting and HRV is measured, it is characterised in that step (4)
Utilization heart rate and heartbeat interval computing module calculate and heart rate and often fight the eartbeat interval time, it is specially：
By carrying out to pulse wave, crest/trough/gradient maxima is detected or spectrum analysis obtains heart rate and eartbeat interval of often fighting
Time.
5. it is as claimed in claim 5 based on the sleep state method of discrimination for acting and HRV is measured, it is characterised in that the step
Suddenly the utilization sleep state computing module of (7) is according to both indexs of the index of correlation of limb action number and HRV and people
Algorithm model calculates sleep quality state to the sleep state that the relation of somatic sleep state is set up by stages, and it is specially：
Sleep state computing module judges that human body is in waking state or hypnagogic state according to limb action number, further according to heart rate
Variability index of correlation and using sleep state by stages algorithm model hypnagogic state is carried out it is shallow sleep, sound sleep, REM sleep divide
Phase.
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Cited By (16)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107169307A (en) * | 2017-07-07 | 2017-09-15 | 中北大学 | Health risk assessment method and apparatus |
| CN107890339A (en) * | 2017-11-09 | 2018-04-10 | 常熟理工学院 | A kind of sleep stage detection method and wearable sleep stage detection means |
| CN108209874A (en) * | 2018-01-03 | 2018-06-29 | 深圳北航新兴产业技术研究院 | A kind of method and apparatus of sleep mode automatically by stages |
| CN109222950A (en) * | 2018-10-19 | 2019-01-18 | 深圳和而泰数据资源与云技术有限公司 | Data processing method and device |
| CN109394174A (en) * | 2017-08-18 | 2019-03-01 | 美的集团股份有限公司 | Sleep state method of discrimination, device, computer equipment and readable storage medium storing program for executing |
| CN109745028A (en) * | 2017-11-07 | 2019-05-14 | 财团法人资讯工业策进会 | Recognize the system and method for baby's demand |
| CN110251802A (en) * | 2019-06-11 | 2019-09-20 | 深圳迈睿智能科技有限公司 | Sleep inducing system and its sleep derivation method and sleep derivation device |
| CN111956197A (en) * | 2020-09-18 | 2020-11-20 | 深圳市爱都科技有限公司 | Sleep state detection method and device, electronic equipment and storage medium |
| CN112370058A (en) * | 2020-11-11 | 2021-02-19 | 西北工业大学 | Method for identifying and monitoring emotion of user based on mobile terminal |
| CN112370013A (en) * | 2020-07-31 | 2021-02-19 | 新绎健康科技有限公司 | Method and system for determining sleep stage |
| CN113518583A (en) * | 2019-03-11 | 2021-10-19 | 京瓷株式会社 | Sleep estimation system, sleep estimation device, and sleep estimation method |
| CN113951826A (en) * | 2021-10-25 | 2022-01-21 | 思澜科技（成都）有限公司 | Method, system and equipment for evaluating sleep condition |
| CN114145717A (en) * | 2021-12-08 | 2022-03-08 | 四川北易信息技术有限公司 | Sleep state analysis method based on PPG heart rate characteristic parameters and motion quantity |
| CN114159025A (en) * | 2021-11-23 | 2022-03-11 | 湖南云医链生物科技有限公司 | Sleep quality analysis method, device, equipment and storage medium |
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| CN107169307A (en) * | 2017-07-07 | 2017-09-15 | 中北大学 | Health risk assessment method and apparatus |
| CN109394174A (en) * | 2017-08-18 | 2019-03-01 | 美的集团股份有限公司 | Sleep state method of discrimination, device, computer equipment and readable storage medium storing program for executing |
| CN109745028A (en) * | 2017-11-07 | 2019-05-14 | 财团法人资讯工业策进会 | Recognize the system and method for baby's demand |
| CN107890339B (en) * | 2017-11-09 | 2020-09-08 | 常熟理工学院 | Sleep staging detection method and wearable sleep staging detection device |
| CN107890339A (en) * | 2017-11-09 | 2018-04-10 | 常熟理工学院 | A kind of sleep stage detection method and wearable sleep stage detection means |
| CN108209874A (en) * | 2018-01-03 | 2018-06-29 | 深圳北航新兴产业技术研究院 | A kind of method and apparatus of sleep mode automatically by stages |
| CN108209874B (en) * | 2018-01-03 | 2021-01-26 | 深圳北航新兴产业技术研究院 | Automatic sleep staging method and device |
| CN109222950A (en) * | 2018-10-19 | 2019-01-18 | 深圳和而泰数据资源与云技术有限公司 | Data processing method and device |
| CN109222950B (en) * | 2018-10-19 | 2021-08-06 | 深圳和而泰数据资源与云技术有限公司 | Data processing method and device |
| EP3939502A4 (en) * | 2019-03-11 | 2022-11-30 | Kyocera Corporation | Sleep estimation system, sleep estimation device, and sleep estimation method |
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| CN110251802A (en) * | 2019-06-11 | 2019-09-20 | 深圳迈睿智能科技有限公司 | Sleep inducing system and its sleep derivation method and sleep derivation device |
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