CN108992040A - A kind of sleep quality state monitoring method and device - Google Patents
A kind of sleep quality state monitoring method and device Download PDFInfo
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- CN108992040A CN108992040A CN201810852834.3A CN201810852834A CN108992040A CN 108992040 A CN108992040 A CN 108992040A CN 201810852834 A CN201810852834 A CN 201810852834A CN 108992040 A CN108992040 A CN 108992040A
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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
- A61B5/48—Other medical applications
- A61B5/4806—Sleep evaluation
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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
- A61B5/1118—Determining activity level
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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
- A61B5/48—Other medical applications
- A61B5/4806—Sleep evaluation
- A61B5/4815—Sleep quality
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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
- A61B5/68—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient
- A61B5/6801—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient specially adapted to be attached to or worn on the body surface
- A61B5/6802—Sensor mounted on worn items
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Abstract
The invention discloses a kind of sleep quality state monitoring methods, comprising steps of obtaining user's sleep action value and the movement frequency；According to the user's sleep action value and the movement frequency within the default sliding window time, the sleep state of user is judged.The sleep state includes waking state and hypnagogic state, the hypnagogic state includes big-movement hypnagogic state, little trick hypnagogic state and quiet hypnagogic state, it further include carrying out the static condition judgement that falls off, also disclose a kind of sleep quality state monitoring apparatus, comprising: data acquisition module and sleep state judgment module.The present invention accurately can go out sleeping time of wearer by Auto-Sensing, it is automatic to carry out sleep state analysis, and dormant validity can be judged, identify the non-sleep state easily judged by accident, the high sleep info of accuracy is obtained, a kind of sleep monitor method that accuracy is high is provided.
Description
Technical field
The present invention relates to sleep monitor fields, in particular it relates to a kind of sleep quality state monitoring method and dress
It sets.
Background technique
With the development of science and technology, wearable device enters the life of more and more people, pass through the multisensor in wearable
Somatic data is acquired, and is analyzed by algorithm, various activities and sign data can be obtained, and provide suggestion and obtained increasingly
The favor of multi-user.The all one's life of people has nearly 1/3 time to be in sleep stage, and the sleep of human body, which is divided into, shallowly sleeps stage and depth
Sleep stage is spent, deep sleep stages is initially entered from the shallow stage of sleeping, then shoals gradually again, the quality of sleep quality is not
The length for depending entirely on sleeping time, even if sleeping time is sufficient, but is interrupted in deep sleep stages, this stage into
Capable long-term memory restores and important physiological metabolism process will be disturbed, occur for a long time it is this be not suitable for the stage will be very big
Ground influences the physical and mental health and brain memory function of people.
Sleep quality state is effectively and accurately monitored, sleep quality is reacted, is provided effectively for sleep quality health control
Theoretical foundation be it is necessary, with the development of mobile internet with the progress of technology, wearable intelligent equipment is from general
Thoughtization moves towards commercialization, and by these equipment, people can preferably perceive the external information with itself, can be in computer, net
The processing information of highly efficient rate, can be realized seamless exchange under the network even auxiliary of other people.
In the prior art, having the sleep detection techniques of the wearable intelligent equipment of sleep detecting function cannot accurately sentence
It breaks and sleeps and wake-up time, and be easy non-sleep time being judged as sleeping time.
Summary of the invention
The present invention is directed to solve at least some of the technical problems in related technologies.For this purpose, of the invention
One purpose, which is to provide one kind, can accurately detect the dormant sleep quality state monitoring method of wearer and set
It is standby.
The technical scheme adopted by the invention is that:
A kind of sleep quality state monitoring method, comprising:
Obtain user's sleep action value and the movement frequency；
According to the user's sleep action value and the movement frequency within the default sliding window time, user's sleep state is judged.
Further, the biography obtains user's sleep action value and the movement frequency specifically: is obtained using acceleration transducer
Take family sleep action value and the movement frequency.
Further, described to specifically include son using acceleration transducer acquisition user sleep action value and the movement frequency
Step:
Three number of axle of acceleration transducer is periodically acquired according to variable quantity Sn, n=1,2 ... n；
The action value SumAct meets: SumAct=S1+S2+ ...+Sn；
The movement frequency meets: when three number of axle is greater than deliberate action threshold value according to variable quantity Sn, the movement frequency adds
One.
Further, user sleep action value and the movement frequency of the basis within the default sliding window time, judgement
User's sleep state specifically includes step:
Compare action data and preset sleep index in the default sliding window time；
Sleep state classification is carried out according to the comparison result；
The sleep state includes waking state and hypnagogic state.
Further, the hypnagogic state includes big-movement hypnagogic state, little trick hypnagogic state and quiet sleep shape
State.
Further, further includes: user's sleep Z axis average value is obtained using acceleration transducer, by comparing the Z
Axis average value and the movement frequency and the default index that stands carry out the static condition judgement that falls off.
Further, it obtains user's sleep action value and the movement frequency is further comprised the steps of: to the acceleration transducer three
The number of axle is filtered according to variable quantity Sn.
Further, further includes: compare the hypnagogic state duration and preset effective sleep achievement data
Compared with greater than preset effective sleep achievement data it is determined that an effective sleep；
The hypnagogic state duration include the big-movement hypnagogic state duration, little trick hypnagogic state continue when
Between and the quiet hypnagogic state duration.
Further, further includes: sleep quality grade is divided into according to sleep duration and sleep state.
On the other hand, the present invention also provides a kind of sleep quality state monitoring apparatus, comprising:
Data acquisition module, for obtaining user's sleep action value and the movement frequency；
Sleep state judgment module according to user's sleep action value within the default sliding window time and acts the frequency,
Judge user's sleep state.
The beneficial effects of the present invention are:
The sleep monitor algorithm that the present invention uses accurately can go out sleeping time of wearer by Auto-Sensing, automatically into
The analysis of row sleep state, and dormant validity can be judged, energy accurate judgement is fallen asleep and wake-up time,
And it identifies the non-sleep state easily judged by accident, and carries out sleep quality judgement, divided often with sleep state according to sleep
For sleep quality grade, the high sleep integrated information of accuracy is obtained, user is helped to carry out human body according to effective theoretical foundation
Sleep health control, reaches good sleep state, provides a kind of sleep monitor method that accuracy is high.
Detailed description of the invention
Fig. 1 is the sleep quality state monitoring method schematic diagram in an embodiment of the present invention.
Fig. 2 is the acceleration transducer data processing schematic diagram in an embodiment of the present invention.
Fig. 3 is that the sleep state in an embodiment of the present invention judges classification process schematic diagram.
Fig. 4 is that the effective sleep in an embodiment of the present invention judges flow diagram.
Fig. 5 is the sleep quality status monitoring overall flow figure in an embodiment of the present invention.
Fig. 6 is the sleep quality status monitoring result figure in an embodiment of the present invention.
Fig. 7 is the sleep quality state monitoring apparatus structural block diagram in an embodiment of the present invention.
Specific embodiment
It should be noted that in the absence of conflict, the features in the embodiments and the embodiments of the present application can phase
Mutually combination.
As shown in Figure 1, for the sleep quality state monitoring method schematic diagram in an embodiment of the present invention, sleep state
Detection is comprising steps of S1 obtains user's sleep action value and the movement frequency, and S2 is according to the user within the default sliding window time
Sleep action value and the movement frequency, judge user's sleep state.
It passes and obtains user's sleep action value and the movement frequency specifically: it is dynamic to obtain user's sleep using acceleration transducer
Work value and the movement frequency, specifically include sub-step:
Three number of axle of acceleration transducer is periodically acquired according to variable quantity Sn, n=1,2 ... n；
Action value SumAct meets: SumAct=S1+S2+ ...+Sn；
Act the frequency to meet: when three number of axle are greater than deliberate action threshold value according to variable quantity Sn, the movement frequency adds one.It utilizes
Acceleration transducer obtain tri- number of axle evidence of X, Y, Z, and by calculate three number of axle according to variable quantity Sn, n=1,2 ... n.
User's sleep action value is obtained in another embodiment of the present invention and the movement frequency further includes that step passes acceleration
Three number of axle of sensor is filtered according to variable quantity Sn.
Another embodiment of the present invention further includes that user's sleep Z axis average value is obtained using acceleration transducer, passes through ratio
The static condition judgement that falls off is carried out compared with Z axis average value and the movement frequency and the default index that stands.
As shown in Fig. 2, the acceleration transducer data processing schematic diagram in an embodiment of the present invention, in the embodiment,
The present inventor's somatic sleep state monitoring method includes: to call one to the acceleration transducer data processing step of acquisition each second
Secondary 3-axis acceleration value carries out threshold filter to the 3-axis acceleration value of acquisition, the three axis movement for adding up one minute (60 seconds)
One minute accumulative action data is stored in default sliding window by value, the movement frequency and Z axis average value.
Acceleration transducer sample frequency is set as 1HZ, and sample range is ± 2g, when sample frequency is set as 1HZ, energy
It reduces and uses power consumption, and sample range is set as ± 2g can improve the sensitivity of acceleration transducer, it is small conducive to capturing
Movement is analyzed for sleep state.
Data processing step is as follows:
1. reading tri- number of axle evidence of X, Y, Z of acceleration transducer each second, three axis for working as the previous second are assumed in the present embodiment
Value is Xn、Yn、Zn, the three axis values of upper one second are Xn-1、Yn-1、Zn-1。
2. threshold filter causes each measurement numerical value that can all have since the fine jitter of sensor is inevitable
Minor fluctuations, it is therefore desirable to carry out threshold filter to eliminate influence of the sensor to measurement numerical value itself.
Given threshold is T in the present embodiment, works as variable quantity | Xn-Xn-1|、|Yn-Yn-1|、|Yn-Yn-1| when being less than threshold value T,
Can then ignore this sensor variation caused by measure influence, define variable quantity be 0, when be greater than threshold value T when, to variable quantity into
The calculating of row following step, threshold size set the setting means that can refer to a following specific embodiment, such as some
In embodiment: X2, Y2, Z2={ -50, -13,36 }, X1, Y1, Z1={ -52, -11,35 }, it can be seen from the measurement data
Although sensor remains static, three-axis measurement value still has small fluctuation, therefore can be set according to measured value
Threshold value is 2.
3. cumulative one minute measurement value sensor, including action value, the movement frequency and Z axis average value.
(1) add up one minute in action value SumAct.
When the movement changing value of previous second are as follows: Sn=| Xn-Xn-1|+|Yn-Yn-1|+|Yn-Yn-1|, then add up in one minute
Action value is SumAct=S1+S2+...+S60.
It is as follows that Value Data is acted in some embodiment:
X1, Y1, Z1={ -36,0,40 }, X2, Y2, Z2={ -41, -3,45 } ...
Then there are S2=14...S60=20, SumAct=695.
(2) add up one minute in act frequency ActFreq.
First according to the empirical value set action threshold value A largely counted, such as moved when the movement changing value S1 of previous second is greater than
When making threshold value A, i.e. S1 > A, then this second movement belongs to effective action, and the movement frequency in this minute adds one.
It is as follows that Value Data is acted in some embodiment:
A=10, S1=13, S1 > A
Then the movement of this second belongs to effective action, and movement frequency ActFreq adds one.
(3) it is added to one minute and calculates Z axis average value ZCnt in one minute,
When equipment standing is put in desktop, 3-axis acceleration sensor is only influenced by gravity acceleration g, is set with evidence
The direction of standby form and placement, in most cases X, Y-axis measured value be approximately equal to 0, and the measured value of Z axis is approximately equal to gravity
Acceleration can determine whether that equipment is in static condition, therefore record one minute if being in this state in continuous a period of time
Interior Z axis average value falls off static condition or hypnagogic state has very big reference value to distinguishing equipment and be in.It is 60 seconds cumulative
Interior Z axis measured value, and divided by 60 to get the Z axis average value in one minute, i.e. AvgZ=(Z1+Z2+...+Z60)/60, z
Axis average value threshold value is set as 60, if Z axis is continuously greater than the counting of given threshold as AvgZ is greater than given threshold 60
ZCnt adds one.
By this, handle to obtain action value SumAct in one minute, the movement frequency to acceleration transducer dormant data
ActFreq, Z axis average value AvgZ are greater than the continuous time ZCnt of given threshold.
In some embodiment, there are SumAct=695, ActFreq=40, ZCnt=30.
As shown in figure 3, judging classification process schematic diagram for the sleep state in an embodiment of the present invention.Sleep state
Including waking state and hypnagogic state, hypnagogic state includes big-movement hypnagogic state, little trick hypnagogic state and quiet sleep shape
State carries out sleep state and judges that classification needs to specifically include step: relatively presetting action data in the sliding window time and presets
Sleep index, according to the comparison result carry out sleep state classification.
Above-mentioned acceleration transducer action data per minute is obtained, and compares in the predetermined time action data and pre-
If sleep index data, according to comparison result carry out hypnagogic state classification.
The predetermined time is 30 minutes in one embodiment, that is, it is 30 points accumulative to save 30 minutes sliding data window
For the acceleration transducer action data of clock for judging sleep state, this 30 minutes sliding data windows are to save nearest 30
The array of minute data, array size 30 save the action value SumAct and movement frequency ActFreq in each minute,
Data window indicates are as follows:
Array [30]=(SumAct1, ActFreq1) ... (SumAct60, ActFreq60) }
In some embodiment, data window be array [30]=(695,14), (1036,15) ... (100,
10)}。
Statistic analysis, such as data are carried out to the data of predetermined time sliding data window per minute in one embodiment
Data in window meet sleep condition, then are defined as hypnagogic state, and record time for falling asleep, according to preset judgment threshold
The classification of hypnagogic state is carried out, preset judgment threshold obtains based on experience value, and statistical data is more, and threshold value setting is more accurate,
Judgement of then sleeping is also more accurate, in some embodiment, for judging that the threshold value of quiet hypnagogic state is set as A1, B1, uses
It is set as A2, B2 in the threshold value for judging little trick hypnagogic state, for judging that the threshold value of big-movement hypnagogic state is set as A3,
B3, judge process as shown in figure 3,
Obtain action value SumAct and the movement frequency per minute in nearest 30 minutes first in some embodiment
ActFreq,
1) if action value SumAct is respectively less than A1, and acts frequency ActFreq and be respectively less than B1, then it is determined as peace and quiet
Sleep state；
2) if action value SumAct is respectively less than A2, and acts frequency ActFreq and be respectively less than B2, then it is determined as petty action
Make sleep state；
If 3) action value SumAct is respectively less than A3, and acts frequency ActFreq and be respectively less than B3, then it is determined as dynamic greatly
Make sleep state；
4) otherwise it is determined as waking state.
In some embodiment, according to the empirical value after the mass data of acquisition statistical analysis, given threshold A1=
1200, B1=10, A2=1800, B2=15, A3=2200, B3=25.
Data window be array [30]=(695,14), (1036,15) ... (100,10) }, first determine whether its movement
Whether value SumAct and movement frequency ActFreq are respectively less than A1, B1, are unsatisfactory in such cases, then compare whether it is respectively less than
A2, B2, it is seen that all action value SumAct are both less than A2, and movement frequency ActFreq is both less than B2, it can be determined that is petty action
Make sleep state.
Such as is not detected by abnormality, that is, is met above-mentioned for sliding data window judgement per minute in one embodiment
The Rule of judgment of hypnagogic state, then persistently add up sleeping time SleepTime, such as detects abnormality, then further sentences
Disconnected, abnormality includes: the static condition that falls off, waking state.
The static condition that falls off, which refers to, obtains user's sleep Z axis average value using acceleration transducer, by comparing the Z axis
Average value and the movement frequency and the default index that stands carry out the static condition judgement that falls off.ZCnt is counted greater than setting threshold when standing
When being worth, and acting frequency ActFreq less than given threshold in a period of time, that is, think equipment in the static condition that falls off.
In some embodiment, stands and count ZCnt greater than 60 minutes, and act frequency ActFreq all in 60 minutes
Less than given threshold 10, then current state is judged for the static condition that falls off, this sleep state is invalid.
When waking state refers to that above-mentioned hypnagogic state judges, a kind of any of the above-described sleep is unsatisfactory for the judgement of 30 minute datas
The case where state, in some embodiment:
Slide data window are as follows:
Array [30]=(2300,40), (3400,50) ... (2000,10) }；
Hypnagogic state given threshold are as follows:
A1=1200, B1=10, A2=1800, B2=15, A3=2200, B3=25；
Wherein there are A1, any sleep state of A2, A3 is greater than in action value SumAct, movement frequency ActFreq is deposited
It is greater than B1 having, any sleep state of B2, B3, then judgement is in waking state, according to prolonged sleep time and sleep state
This time whether sleep is effective sleep for judgement, if needs to save this dormant data.
As shown in figure 4, judging flow diagram for the effective sleep in an embodiment of the present invention.If sleeping shape at this time
State is to switch to waking state by hypnagogic state, then needing this time to be slept according to prolonged sleep time and sleep state judgement is
Whether no is effective sleep, and need to save this dormant data.When effective sleep judgement refers to that the hypnagogic state is lasting
Between be compared with preset effective sleep achievement data, greater than preset effective sleep achievement data it is determined that once having
Effect sleep, the hypnagogic state duration includes big-movement hypnagogic state duration, little trick hypnagogic state duration
With the quiet hypnagogic state duration.
Preset effective sleep achievement data is set as T1, T2, T3 in the embodiment, and effective sleep judges that process is as follows:
1) this time sleep state is big-movement hypnagogic state and sleep time is greater than T1 minutes, then this time sleep is
Effective sleep, and store this time time for falling asleep of sleep, wake-up time and sleep duration.
2) this time sleep state is little trick hypnagogic state and sleep time is greater than T2 minutes, then this time sleep is
Effective sleep, and store this time time for falling asleep of sleep, wake-up time and sleep duration.
3) this time sleep state is quiet hypnagogic state and sleep time is greater than T3 minutes, then this time sleep is to have
Effect sleep, and store this time time for falling asleep of sleep, wake-up time and sleep duration.
If 4) be unsatisfactory for condition, it is judged as non-hypnagogic state, does not record this dormant data, and switches to awake shape
State.
In some embodiment, if T2 is 60 minutes, sleep state is little trick sleep, is continued if this time slept
Sleeping time is to enter waking state after 90 minutes, then the effective sleep that this time sleep time of sleep is greater than setting refers to
T2 is marked, then this sleep is effective sleep, this sleep of record sleep.
An embodiment of the present invention further includes carrying out the judgement of sleep quality, and sleep quality judgement refers to according to sleep duration
Sleep quality grade is divided into sleep state, sleep quality is divided into 4 grades by sleeping time and sleep state.
1) grade 1: sleeping time is greater than 7.5 hours and sleep state is quiet falls asleep；
2) grade 2: sleeping time is greater than 6 hours and sleep state is that quiet sleep or little trick are fallen asleep；
3) grade 3: sleeping time is greater than 4 hours and sleep state is that quiet sleep or little trick are fallen asleep；
4) class 4: other sleeping times and state.
In some embodiment, sleep state is that little trick is fallen asleep and the duration is 7 hours, then can be determined that it
Sleep quality is grade 2.
As shown in figure 5, for the sleep quality status monitoring overall flow figure in an embodiment of the present invention.Sleep quality
Status monitoring step includes:
1) 3-axis acceleration each second value is called；
2) data processing is carried out to the acceleration transducer sleep of acquisition, including carries out threshold filter to eliminate acceleration
Data error caused by sensor is shaken；
It 3) will be by data window be slided in action value deposit per minute after data processing；
4) judge whether to enter sleep state according to judgement of slide window data and enter which kind of sleep state；
If 5) current state is waking state, waiting meets hypnagogic state and then records this sleep onset time and cut
Changing sleep state is hypnagogic state；
6) if current state is hypnagogic state, judge that hypnagogic state is big-movement hypnagogic state, little trick hypnagogic state
Or quiet hypnagogic state switches to waking state when if being unsatisfactory for any sleep state, and whether judges this time sleep
For effective sleep, and record this sleep onset time and end time；
7) if current state is the static condition that falls off, dormant data is not saved；
8) sleep quality grade division is carried out with sleep state often according to sleep；
As a kind of optional embodiment, the invention also includes display sleep integrated informations to display terminal, sleep info
Sleep onset time, sleep end time, sleep duration and the sleep state obtained for above-mentioned steps, data sender's formula are as follows:
Bluetooth, wireless or infrared mode.
In some embodiment, operation is carried out to collected one group of data, obtains analysis result.As shown in Fig. 6,
Upper three axis data value of figure obtains action value after filtering processing, it can be seen that the time is between 71min to 331min
Fall off static condition, and the time is in hypnagogic state between 361min to 707min, and specific is quiet hypnagogic state, this time
Sleep time is 346min, therefore sleep quality is 3 grades, therefore this algorithm accurately analyzes the beginning slept
With the time of end.Identify that one section of front equipment falls off static condition, will not generate the case where being mistaken for sleep state.
As shown in fig. 7, for the sleep quality state monitoring apparatus structural block diagram in an embodiment of the present invention, comprising:
Data acquisition module, for obtaining user's sleep action value and the movement frequency；
Sleep state judgment module according to user's sleep action value within the default sliding window time and acts the frequency,
Judge user's sleep state.
The present inventor's somatic sleep state monitoring method can be widely used in wearable device, wearable in human body
Wrist, arm, shirtfront or head carry out sleep state monitoring.
The sleep monitor algorithm that the present invention uses accurately can go out sleeping time of wearer by Auto-Sensing, automatically into
The analysis of row sleep state, and dormant validity can be judged, energy accurate judgement is fallen asleep and wake-up time,
And it identifies the non-sleep state easily judged by accident, and carries out sleep quality judgement, divided often with sleep state according to sleep
For sleep quality grade, the high sleep integrated information of accuracy is obtained, user is helped to carry out human body according to effective theoretical foundation
Sleep health control, reaches good sleep state, provides a kind of sleep monitor method that accuracy is high.
It is to be illustrated to preferable implementation of the invention, but the invention is not limited to the implementation above
Example, those skilled in the art can also make various equivalent variations on the premise of without prejudice to spirit of the invention or replace
It changes, these equivalent deformations or replacement are all included in the scope defined by the claims of the present application.
Claims (10)
1. a kind of sleep quality state monitoring method characterized by comprising
Obtain user's sleep action value and the movement frequency；
According to the user's sleep action value and the movement frequency within the default sliding window time, user's sleep state is judged.
2. a kind of sleep quality state monitoring method according to claim 1, which is characterized in that the biography obtains user and sleeps
Dormancy action value and the movement frequency specifically: obtain user's sleep action value and the movement frequency using acceleration transducer.
3. a kind of sleep quality state monitoring method according to claim 2, which is characterized in that
It is described to specifically include sub-step using acceleration transducer acquisition user sleep action value and the movement frequency:
Three number of axle of acceleration transducer is periodically acquired according to variable quantity Sn, n=1,2 ... n；
The action value SumAct meets: SumAct=S1+S2+ ...+Sn；
The movement frequency meets: when three number of axle is greater than deliberate action threshold value according to variable quantity Sn, the movement frequency adds one.
4. a kind of sleep quality state monitoring method according to claim 3, which is characterized in that the basis is slided default
User's sleep action value and the movement frequency in dynamic window time, judge that user's sleep state specifically includes step:
Compare action data and preset sleep index in the default sliding window time；
Sleep state classification is carried out according to the comparison result；
The sleep state includes waking state and hypnagogic state.
5. a kind of sleep quality monitoring method according to claim 4, which is characterized in that the hypnagogic state includes big dynamic
Make hypnagogic state, little trick hypnagogic state and quiet hypnagogic state.
6. a kind of sleep quality state monitoring method according to claim 5, which is characterized in that further include:
User's sleep Z axis average value is obtained using acceleration transducer；
The static condition judgement that falls off is carried out by comparing the Z axis average value and the movement frequency and the default index that stands.
7. a kind of sleep quality state monitoring method according to claim 6, which is characterized in that obtain user's sleep movement
Value and the movement frequency further comprise the steps of:
Three number of axle of acceleration transducer is filtered according to variable quantity Sn.
8. a kind of sleep quality state monitoring method according to claim 7, which is characterized in that further include: by it is described enter
It sleeps state duration to be compared with preset effective sleep achievement data, just sentence greater than preset effective sleep achievement data
It is set to an effective sleep；
The hypnagogic state duration includes big-movement hypnagogic state duration, little trick hypnagogic state duration and peace
The quiet hypnagogic state duration.
9. a kind of sleep quality state monitoring method according to claim 8, which is characterized in that further include:
Sleep quality grade is divided into according to sleep duration and sleep state.
10. a kind of sleep quality state monitoring apparatus characterized by comprising
Data acquisition module, for obtaining user's sleep action value and the movement frequency；
Sleep state judgment module, according to the user's sleep action value and the movement frequency within the default sliding window time, judgement
User's sleep state.
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| EP3753482A1 (en) * | 2019-05-21 | 2020-12-23 | Firstbeat Analytics OY | Method and apparatus for detecting a sleep state |
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