CN106361330A - Method and system for recognizing sleep state in intelligent aided sleep - Google Patents
Method and system for recognizing sleep state in intelligent aided sleep Download PDFInfo
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- CN106361330A CN106361330A CN201610843687.4A CN201610843687A CN106361330A CN 106361330 A CN106361330 A CN 106361330A CN 201610843687 A CN201610843687 A CN 201610843687A CN 106361330 A CN106361330 A CN 106361330A
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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
- A61B5/24—Detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof
- A61B5/316—Modalities, i.e. specific diagnostic methods
- A61B5/398—Electrooculography [EOG], e.g. detecting nystagmus; Electroretinography [ERG]
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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
- A61B5/4812—Detecting sleep stages or cycles
Abstract
The invention relates to a method and a system for recognizing a hypnotic state in intelligent aided sleep. The method comprises the following steps: playing a hypnosis guide word to a user, detecting an electro-oculogram signal of the user, and acquiring a corresponding electro-oculogram signal waveform in the intelligent aided sleep; using a preset detection window to movably detect the electro-oculogram signal waveform within a first time frame after the hypnosis guide word is played; judging the user to be currently at a first-level hypnosis depth state if the amplitude of the electro-oculogram signal waveform does not exceed a height threshold; playing an arm raising order to the user, using an acceleration sensor fixed on an arm of the user to detect an action signal reacted by the user within a second time frame after the arm raising order is played; and judging the user to be currently on a hypohypnosis stage if the acceleration sensor does not output an action signal corresponding to the arm raising order within the second time frame. According to the method, the recognition accuracy and the recognition efficiency are improved.
Description
Technical field
The present invention relates to assisting sleep technical field, the psycheism identification in more particularly to a kind of intelligent assisting sleep
Method and system.
Background technology
In sleep, human body has carried out the process self loosened and recover.Therefore good sleep is to maintain healthy
A primary condition.But due to the reason such as operating pressure is big, daily life system is irregular, result in the sleep matter of part population
Amount is not good enough, shows as insomnia, midnight wakes up with a start.
Intelligent assisting sleep is a kind of sleep method of combination modern science and technology, and after subjectss enter psycheism, it is subject to
Hint property significantly improves, and can keep close inductive relationship with hypnotist, can be not added with critically accepting its hint instruction.By hypnosis
When art is applied to assisting sleep, after hypnotist is by the hypnosis of hypnotist institute, hypnotist sends SLEEP instruction and can make hypnotic
Enter sleep state.Compared with pharmaceutical intervention (sleeping pill), less to the side effect of body based on magnetic assisting sleep, than
Relatively it is suitable for daily use.
In intelligent assisting sleep, how to identify that hypnosis depth is key factor exactly, need in different hypnosis depth
Carry out different hypnosis strategies, guiding user enters sleep, at present for hypnosis depth, can be generally divided into, hypnosis depth
May be generally divided into three phases and six grades: hypohypnosis (1-2 level), moderate hypnosis (3-4 level) and depth hypnosis (5-6)
Level.For the hypnosis depth of each grade, there is corresponding criterion, special according to the action showing of hypnotic
Levy and passed judgment on, for hypohypnosis, correct identification is carried out the premise of next stage hypnosis, but this generally requires and urges
Dormancy teacher just can be judged according to enough experiences, is then difficult to judge for general user, simultaneously the identification of these sensible format
Hypnosis depth, accuracy is difficult to ensure that, efficiency is low.
Content of the invention
Based on this it is necessary to be directed to the problems referred to above, provide a kind of psycheism recognition methodss in intelligent assisting sleep and
System, is capable of the hypnosis depth of relatively accurately identifying user, effectively improves assisting sleep effect.
A kind of psycheism recognition methodss in intelligent assisting sleep, comprising:
In intelligent assisting sleep, play hypnosis introducer to user, detect the electro-ocular signal of described user and obtain right
The electro-ocular signal oscillogram answered；
In first time period after playing hypnosis introducer, detect described eye telecommunications using default detection window is mobile
Number oscillogram, if the amplitude of described electro-ocular signal oscillogram is not above the height threshold of described detection window, judges described
User is currently at first order hypnosis depth state；Wherein, described detection window includes the detection window length setting and height
Threshold value；
Play arm to user and lift order, in the second time period after playing arm and lifting order, using being fixed on
Acceleration transducer on described user's arm detects the actuating signal of customer responsiveness；
If in described second time period, described acceleration transducer does not export that to lift order corresponding with described arm
Actuating signal, then judge that described user is currently at the hypohypnosis stage.
A kind of psycheism identifying system in intelligent assisting sleep, comprising:
Electro-ocular signal oscillogram acquisition module, for, in intelligent assisting sleep, playing hypnosis introducer, detection to user
The electro-ocular signal of described user simultaneously obtains corresponding electro-ocular signal oscillogram；
First hypnosis depth recognition module, in the first time period after playing hypnosis introducer, using default
Detection window is mobile to detect described electro-ocular signal oscillogram, if the amplitude of described electro-ocular signal oscillogram is not above described detection
The height threshold of window, then judge that described user is currently at first order hypnosis depth state；Wherein, described detection window includes
The detection window length setting and height threshold；
Reaction actuating signal detection module, lifts order for playing arm to user, after broadcasting arm lifts order
Second time period in, detect the actuating signal of customer responsiveness using the acceleration transducer that is fixed on described user's arm；
Second hypnosis depth recognition module, if for, in described second time period, described acceleration transducer is not defeated
Go out and lift the corresponding actuating signal of order with described arm, then judge that described user is currently at the hypohypnosis stage.
Psycheism recognition methodss in above-mentioned intelligent assisting sleep and system, during playing hypnosis introducer, lead to
Cross the electro-ocular signal of detection user and be identified using detection window, after identification first order hypnosis depth, using acceleration
By this actuating signal, the arm action signal of sensor senses user, finally to judge that user is in the hypohypnosis stage, can
Improve identification accuracy, and improve recognition efficiency, provide good reference for execution next stage hypnosis.
Brief description
Fig. 1 is the flow chart of the psycheism recognition methodss in the intelligent assisting sleep of an embodiment；
Fig. 2 is an electro-ocular signal waveform diagram；
Fig. 3 is electro-ocular signal waveform spike area schematic diagram in detection window；
Fig. 4 is the psycheism identifying system structural representation in the intelligent assisting sleep of an embodiment.
Specific embodiment
The enforcement of the psycheism recognition methodss in the intelligent assisting sleep of the elaboration present invention and system below in conjunction with the accompanying drawings
Example.
With reference to shown in Fig. 1, Fig. 1 is the flow process of the psycheism recognition methodss in the intelligent assisting sleep of an embodiment
Figure, comprising:
S10, in intelligent assisting sleep, plays hypnosis introducer to user, detects the electro-ocular signal of described user and obtain
Take corresponding electro-ocular signal oscillogram；
In this step, usually user, in the case of not falling asleep, carries out intelligent assisting sleep, plays hypnosis to user
Introducer, to carry out Sleep intervention to user, using related device, detects the electro-ocular signal of user, and draws corresponding eye electricity
Signal waveforms.
In an embodiment, after electro-ocular signal is detected, using data handling equipment, when m- amplitude coordinate system on paint
Make corresponding electro-ocular signal oscillogram；Coordinate system can be with the time as transverse axis, with electro-ocular signal amplitude as the longitudinal axis.
In one embodiment, before playing hypnosis introducer to user, also the sleep state of user is detected,
When user is detected be non-asleep state, restart hypnosis intervention and identification process.
I.e. before the electro-ocular signal detecting described user, the brain telecommunications that collection user produces during intelligent assisting sleep
Number；According to described EEG signals, the sleep state of user is detected, when described user is in non-asleep state, execution is described
The step playing hypnosis introducer to user.
S20, in the first time period after playing hypnosis introducer, detects described eye using default detection window is mobile
Electric signal waveform figure, if the amplitude of described electro-ocular signal oscillogram is not above the height threshold of described detection window, judges
Described user is currently at first order hypnosis depth state；Wherein, described detection window include set detection window length and
Height threshold；
In this step, after broadcasting hypnosis introducer is intervened, using detection in setting time (typically taking 30s)
Temporally direction of principal axis moves window, and mobile detection electro-ocular signal oscillogram, to detect eyelid active situation, when electro-ocular signal waveform
The amplitude of figure is not above described height threshold, that is, the electro-ocular signal waveforms amplitude fluctuating margin being not detected by window exceedes
Height threshold, then judge that described user is currently at first order hypnosis depth state.
In one embodiment, for the selection of detection window, need to arrange detection window length and height threshold, that is, exist
Detection window along time-axis direction movement is set up on m- amplitude coordinate system when described, and according to nictation speed and electro-ocular signal
Amplitude arranges described detection window length and height threshold.
The method of concrete setting can include the following:
A () under normal circumstances, counts quick eye closing action (nictation, i.e. winking reflex) during described user repeatedly blinks
Time；Time according to described statistics obtains the nictation speed of described user；
B () counts the maximum of electro-ocular signal amplitude or minima during described user repeatedly blinks；According to described eye electricity
The maximum of signal amplitude or the electro-ocular signal amplitude of the minima described user of acquisition；
C () arranges described detection window length according to described nictation speed, and arranged according to described electro-ocular signal amplitude
Described height threshold.
In one embodiment, if described nictation speed is [ta, tb], then described detection window length value >=2ta；If
Described electro-ocular signal amplitude is m, then described height threshold value≤0.7m.
For example, with reference to shown in Fig. 2, Fig. 2 is an electro-ocular signal waveform diagram, when the nictation speed calculating is 0.3s-
0.4s, electro-ocular signal amplitude is 200uv, then detection window length can be set to 0.6s, and height threshold can be set to 140uv.
In one embodiment it is contemplated that electro-ocular signal waveform is the key character judging nictation, when waveform judges, hold
Easily receive the interference in the external world.Therefore, if only relying upon time and amplitude judgement, being easily caused erroneous judgement, therefore, it can further
Waveform acuity is judged, to improve identification accuracy.
I.e. when amplitude electro-ocular signal oscillogram is detected exceedes described height threshold, calculate eye telecommunications in detection window
The acuity parameter of number waveform spike, if described acuity parameter is less than default acuity parameter threshold, judges institute
State user and be currently at first order hypnosis depth state.
In one embodiment, calculate the acuity parameter of electro-ocular signal waveform spike in detection window, can include
As follows:
A () calculates upper area area in detection window for the electro-ocular signal waveform and lower area area respectively, calculate
Formula is as follows:
In formula, piFor the electro-ocular signal in detection window, pmaxFor the maximum of electro-ocular signal in detection window, pminFor inspection
Survey the minima of electro-ocular signal in window, areaupRepresent upper area area, areadownRepresent lower area area；
(b) according to the area of described upper area area and electro-ocular signal waveform spike described in lower area areal calculation,
Computing formula is as follows:
In formula, blinkareaRepresent the area of spike, if represents and meets condition；
With reference to shown in Fig. 3, Fig. 3 is electro-ocular signal waveform spike area schematic diagram in detection window, the spike in two kinds of directions
Upper and lower part region area as illustrated, left figure spike direction upwards, the spike direction of right figure is downward.
C (), according to spike areal calculation acuity parameter, computing formula is as follows:
blinkratio=blinkarea/in-blinkarea
In formula, blinkratioRepresent acuity parameter, in-blinkareaRepresent the area of non-peak position, here point
It is ratio between upper area area and lower area area that sharp extent index can also be converted into.
S30, plays arm to user and lifts order, in the second time period after playing arm and lifting order, using solid
The acceleration transducer being scheduled on described user's arm detects the actuating signal of customer responsiveness；
In this step, after first order hypnosis depth is detected, play arm to user and lift order, carry out the first order
Hypnosis depth detection, the big muscles of detection user are subject to imply situation about being steered, and using acceleration transducer, detect arm
Actuating signal.
S40, if in described second time period, described acceleration transducer does not export and lifts order pair with described arm
The actuating signal answered, then judge that described user is currently at the hypohypnosis stage；
In this step, if acceleration transducer not output and arm lift in second time period (typically taking 10s)
Rise and order corresponding actuating signal, for example, or corresponding sports feel the actuating signal that the rhythm and pace of moving things or other arm actions produce, permissible
Think that user reaches second level hypnosis depth, such that it is able to judge that user is currently at the hypohypnosis stage.
The scheme of summary embodiment, during playing hypnosis introducer, by the electro-ocular signal of detection user simultaneously
It is identified using detection window, after identification first order hypnosis depth, moved using the arm that acceleration transducer detects user
Make signal, finally to judge that user is in the hypohypnosis stage by this actuating signal, it is possible to increase identification accuracy, and improve
Recognition efficiency, provides good reference for execution next stage hypnosis.
With reference to shown in Fig. 4, Fig. 4 is the psycheism identifying system structural representation in the intelligent assisting sleep of an embodiment
Figure, comprising:
Electro-ocular signal oscillogram acquisition module 10, for, in intelligent assisting sleep, playing hypnosis introducer, inspection to user
Survey the electro-ocular signal of described user and obtain corresponding electro-ocular signal oscillogram；
First hypnosis depth recognition module 20, in the first time period after playing hypnosis introducer, using default
Detection window mobile detect described electro-ocular signal oscillogram, if the amplitude of described electro-ocular signal oscillogram is not above described inspection
Survey the height threshold of window, then judge that described user is currently at first order hypnosis depth state；Wherein, described detection window bag
Include detection window length and the height threshold of setting；
Reaction actuating signal detection module 30, lifts order for playing arm to user, lifts order playing arm
The action letter of customer responsiveness in second time period afterwards, is detected using the acceleration transducer being fixed on described user's arm
Number；
Second hypnosis depth recognition module 40, if for, in described second time period, described acceleration transducer does not have
Output lifts the corresponding actuating signal of order with described arm, then judge that described user is currently at the hypohypnosis stage.
Urging in the psycheism identifying system in the intelligent assisting sleep of the present invention and the intelligent assisting sleep of the present invention
Dormancy state identification method corresponds, the skill of the embodiment elaboration of the psycheism recognition methodss in above-mentioned intelligent assisting sleep
Art feature and its advantage all in the embodiment of the psycheism identifying system intelligent assisting sleep, sound hereby
Bright.
Each technical characteristic of embodiment described above can arbitrarily be combined, for making description succinct, not to above-mentioned reality
The all possible combination of each technical characteristic applied in example is all described, as long as however, the combination of these technical characteristics is not deposited
In contradiction, all it is considered to be the scope of this specification record.
Embodiment described above only have expressed the several embodiments of the present invention, and its description is more concrete and detailed, but simultaneously
Can not therefore be construed as limiting the scope of the patent.It should be pointed out that coming for those of ordinary skill in the art
Say, without departing from the inventive concept of the premise, some deformation can also be made and improve, these broadly fall into the protection of the present invention
Scope.Therefore, the protection domain of patent of the present invention should be defined by claims.
Claims (10)
1. the psycheism recognition methodss in a kind of intelligent assisting sleep are it is characterised in that include:
In intelligent assisting sleep, play hypnosis introducer to user, detect the electro-ocular signal of described user and obtain corresponding
Electro-ocular signal oscillogram；
In first time period after playing hypnosis introducer, detect described electro-ocular signal ripple using default detection window is mobile
Shape figure, if the amplitude of described electro-ocular signal oscillogram is not above the height threshold of described detection window, judges described user
It is currently at first order hypnosis depth state；Wherein, described detection window includes detection window length and the height threshold setting；
Play arm to user and lift order, in the second time period after playing arm and lifting order, described using being fixed on
Acceleration transducer on user's arm detects the actuating signal of customer responsiveness；
If in described second time period, described acceleration transducer does not export and lifts the corresponding action of order with described arm
Signal, then judge that described user is currently at the hypohypnosis stage.
2. the psycheism recognition methodss in intelligent assisting sleep according to claim 1 are it is characterised in that also include:
When m- amplitude coordinate system on draw described electro-ocular signal oscillogram；
Detection window along time-axis direction movement is set up on m- amplitude coordinate system when described, and according to nictation speed and eye
Signal of telecommunication amplitude arranges described detection window length and height threshold.
3. the psycheism recognition methodss in intelligent assisting sleep according to claim 1 are it is characterised in that to user
Before playing the step of hypnosis introducer, also include:
The EEG signals that collection user produces during intelligent assisting sleep；
According to described EEG signals, the sleep state of user is detected, when described user is in non-asleep state, execute institute
State the step playing hypnosis introducer to user.
4. the psycheism recognition methodss in intelligent assisting sleep according to claim 2 are it is characterised in that described basis
The step of nictation speed and the electro-ocular signal amplitude described detection window length of setting and height threshold includes:
Under normal circumstances, count the time of quickly eye closing action during described user repeatedly blinks；According to described statistics when
Between obtain the nictation speed of described user；
Count the maximum of electro-ocular signal amplitude during described user repeatedly blinks or minima；According to described electro-ocular signal amplitude
Maximum or minima obtain described user electro-ocular signal amplitude；
Described detection window length is arranged according to described nictation speed, and described height is arranged according to described electro-ocular signal amplitude
Threshold value.
If 5. the psycheism recognition methodss in intelligent assisting sleep according to claim 1 are it is characterised in that described eye
The amplitude of electric signal waveform figure exceedes described height threshold, also includes:
Calculate the acuity parameter of electro-ocular signal waveform spike in detection window, if described acuity parameter is less than default
Acuity parameter threshold, judges that described user is currently at first order hypnosis depth state.
6. the psycheism recognition methodss in intelligent assisting sleep according to claim 5 are it is characterised in that described calculating
In detection window, the step of the acuity parameter of electro-ocular signal waveform spike includes:
Calculate upper area area in detection window for the electro-ocular signal waveform and lower area area respectively；
Area according to described upper area area and electro-ocular signal waveform spike described in lower area areal calculation；
According to spike areal calculation acuity parameter.
7. the psycheism recognition methodss in intelligent assisting sleep according to claim 6 are it is characterised in that described top
The computing formula of region area and lower area area is as follows:
In formula, piFor the electro-ocular signal in detection window, pmaxFor the maximum of electro-ocular signal in detection window, pminFor detecting window
The minima of electro-ocular signal, area in mouthfulupRepresent upper area area, areadownRepresent lower area area；
The computing formula of the area of described electro-ocular signal waveform spike is as follows:
In formula, blinkareaRepresent the area of spike, if represents and meets condition；
The computing formula of described acuity parameter is as follows:
blinkratio=blinkarea/in-blinkarea
In formula, blinkratioRepresent acuity parameter, in-blinkareaRepresent the area of non-peak position, here sharp journey
It is ratio between upper area area and lower area area that degree parameter can also be converted into.
If 8. the psycheism recognition methodss in intelligent assisting sleep according to claim 4 are it is characterised in that described blink
Eye speed is [ta, tb], then described detection window length value >=2ta；
If described electro-ocular signal amplitude is m, described height threshold value≤0.7m.
9. the psycheism recognition methodss in intelligent assisting sleep according to claim 1 are it is characterised in that described broadcasting
Setting time after hypnosis introducer is 30s, and described second time period is 10s.
10. the psycheism identifying system in a kind of intelligent assisting sleep is it is characterised in that include:
Electro-ocular signal oscillogram acquisition module, for, in intelligent assisting sleep, playing hypnosis introducer to user, detection is described
The electro-ocular signal of user simultaneously obtains corresponding electro-ocular signal oscillogram；
First hypnosis depth recognition module, in the first time period after playing hypnosis introducer, using default detection
Window is mobile to detect described electro-ocular signal oscillogram, if the amplitude of described electro-ocular signal oscillogram is not above described detection window
Height threshold, then judge that described user is currently at first order hypnosis depth state；Wherein, described detection window includes setting
Detection window length and height threshold；
Reaction actuating signal detection module, lifts order for playing arm to user, is playing after arm lifts order the
The actuating signal of customer responsiveness in two time periods, is detected using the acceleration transducer being fixed on described user's arm；
Second hypnosis depth recognition module, if in described second time period, described acceleration transducer do not export with
Described arm lifts the corresponding actuating signal of order, then judge that described user is currently at the hypohypnosis stage.
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| CN111417343A (en) * | 2017-12-07 | 2020-07-14 | 八乐梦床业株式会社 | Posture determination device |
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