CN107865638A - Computer-readable recording medium, built-in earplug detection means - Google Patents
Computer-readable recording medium, built-in earplug detection means Download PDFInfo
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- CN107865638A CN107865638A CN201710860945.4A CN201710860945A CN107865638A CN 107865638 A CN107865638 A CN 107865638A CN 201710860945 A CN201710860945 A CN 201710860945A CN 107865638 A CN107865638 A CN 107865638A
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- electroculogram
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- earplug
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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
- A61B5/4809—Sleep detection, i.e. determining whether a subject is asleep or not
-
- 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
- A61B5/369—Electroencephalography [EEG]
-
- 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
- A61B5/389—Electromyography [EMG]
-
- 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]
-
- 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
-
- 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
- A61B5/6813—Specially adapted to be attached to a specific body part
- A61B5/6814—Head
- A61B5/6815—Ear
- A61B5/6817—Ear canal
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
- A61B5/7235—Details of waveform analysis
- A61B5/7264—Classification of physiological signals or data, e.g. using neural networks, statistical classifiers, expert systems or fuzzy systems
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61F—FILTERS IMPLANTABLE INTO BLOOD VESSELS; PROSTHESES; DEVICES PROVIDING PATENCY TO, OR PREVENTING COLLAPSING OF, TUBULAR STRUCTURES OF THE BODY, e.g. STENTS; ORTHOPAEDIC, NURSING OR CONTRACEPTIVE DEVICES; FOMENTATION; TREATMENT OR PROTECTION OF EYES OR EARS; BANDAGES, DRESSINGS OR ABSORBENT PADS; FIRST-AID KITS
- A61F11/00—Methods or devices for treatment of the ears or hearing sense; Non-electric hearing aids; Methods or devices for enabling ear patients to achieve auditory perception through physiological senses other than hearing sense; Protective devices for the ears, carried on the body or in the hand
- A61F11/06—Protective devices for the ears
- A61F11/08—Protective devices for the ears internal, e.g. earplugs
Abstract
The present invention relates to biological electricity detection field, more particularly to a kind of built-in earplug detection means for being used to detect sleep quality, computer-readable recording medium is provided with the device, by judging whether electroculogram and/or the sleep state corresponding to electromyogram are consistent with the sleep state corresponding to electroencephalogram frequency spectrum, if then determine the sleep state, if otherwise not knowing the sleep state, so as to ensure the accuracy of sleep quality assessment；By setting electrode slice on earplug, when earplug fills in human ear a quiet environment is provided for sleep quality, now electrode slice fitting external auditory meatus, very easily gather the electric signal of human body surface, and human ear is all shorter from a distance from cerebral nervous system and eyeball respectively, the EEG signals and electro-ocular signal that electrode slice collects improve accuracy guarantee there will be no too big loss for signal identification.
Description
Technical field
The present invention relates to biological electricity detection field, more particularly to a kind of built-in earplug detection for being used to detect sleep quality
Device, computer-readable recording medium is provided with the device.
Background technology
In the prior art, professional sleep detection instrument is bulky and expensive, test sleep quality when need to be more in body
Cathode lead is sticked at place, and use is extremely inconvenient, or even directly affects the sleep quality of measured, it is difficult to obtains accurately assessing knot
Fruit.Therefore, propose in the industry by detecting method of the brain wave so as to analysis and evaluation sleep quality, if notification number is CN
103690161 B patent document, but brain wave is the ultra-weak electronic signal sent by human nerve, it is very easily by dry
Disturb, accuracy rate is only difficult to ensure that to analyze sleep quality by brain wave.
The content of the invention
The purpose of the present invention is convenient and assesses sleep quality exactly.
To solve above-mentioned purpose, inventor proposes following technical scheme：
A kind of computer-readable recording medium is provided, it is stored with computer program, real when the program is executed by processor
Existing following steps：EEG spectrum obtaining step：Obtain the current electroencephalogram frequency spectrum of human body；Electroculogram obtaining step and/or myoelectricity
Figure obtaining step：Obtain the electroculogram and/or electromyogram of human body；Judgment step：Judge corresponding to electroculogram and/or electromyogram
Whether sleep state is consistent with the sleep state corresponding to electroencephalogram frequency spectrum, if then determining the sleep state, if otherwise not true
The fixed sleep state.
In judgment step, after obtaining electroencephalogram frequency spectrum, according to concentrate in the frequency spectrum place frequency range judge
Sleep state corresponding to electroencephalogram frequency spectrum.In judgment step, the frequency spectrum of electroculogram and/or electromyogram is drawn, according to the frequency
Concentrate in spectrum place frequency range judge state that electroculogram and/or electromyogram are showed.
Above-mentioned all frequency spectrums are all drawn by Fourier's computing in short-term.
Said procedure also realizes classifying step, and it need to gather human body by being fitted in two electrode slices of human body surface
Mix electric signal, can be achieved with the acquisition of each figure, it is very convenient.Specifically, collect after mixing electric signal, electricity is mixed to this
Signal is classified, and extracts the feature of sorted each signal, corresponding figure is identified by the use of this feature as sample, so as to
Realize above-mentioned acquisition.Wherein, to have avoided clutter from influenceing classified calculating, first the electric signal that mixes is filtered, after filtering
Amplify again make it that signal is readily identified, then just carry out the classification.
In classifying step, with algorithm of support vector machine, clutter is entered using the learning strategy of margin maximization
Row classification, simplifies classified calculating process, has preferable " robust " property.
In classifying step, the feature is extracted with NMF Algorithms of Non-Negative Matrix Factorization and is identified, its will be good at by
Complicated data matrix dimension-reduction treatment, processing large-scale data speed are fast.
A kind of built-in earplug detection means, including earplug and processor are also provided, earplug, which is provided with, to be used to gather human body
Two electrode slices of surface electric signal, two electrode slices electrically connect with processor respectively, in addition to described above computer-readable
Storage medium, the program on the computer-readable recording medium can be run on a processor.
Wherein, the electrode slice is arranged on the place of the external auditory meatus that can be bonded human ear of earplug outer wall, due to external auditory meatus
In hole shape, when earplug fills in human ear, the elastic outer wall of earplug fully extrudes external auditory meatus so that and electrode slice is close to external auditory meatus,
Electrode slice can preferably gather electric signal.
Beneficial effect：
By judging electroculogram and/or the sleep state corresponding to electromyogram and the sleep state corresponding to electroencephalogram frequency spectrum
Whether it is consistent, if then determining the sleep state, if otherwise not knowing the sleep state, so as to ensure the standard of sleep quality assessment
True property；By setting electrode slice on earplug, a quiet environment is provided for sleep quality when earplug fills in human ear, it is now electric
Pole piece is bonded external auditory meatus, very easily gathers the electric signal of human body surface, and human ear is respectively from cerebral nervous system and eyeball
Distance it is all shorter, the EEG signals and electro-ocular signal that electrode slice collects carry there will be no too big loss for signal identification
High accuracy guarantee.
Brief description of the drawings
Using accompanying drawing, the invention will be further described, but the embodiment in accompanying drawing does not form any limit to the present invention
System, for one of ordinary skill in the art, on the premise of not paying creative work, can also be obtained according to the following drawings
Other accompanying drawings.
Fig. 1 is the flow chart when program in the computer-readable recording medium of the present invention is performed.
Fig. 2 is the partial schematic diagram of built-in earplug detection means.
Embodiment
With reference to figure 1 and Fig. 2, the detection means of built-in earplug 2 includes earplug 2 and processor, is set in the elastic outer wall of earplug 2
Have for gathering the two of human body surface electric signal electrode slices 1.Two electrode slices 1 mutually diverge to, the end of each electrode slice 1
Electrically connected by electric wire with processor.When earplug 2 is stuffed into human ear, the elastic outer wall of earplug 2 fully extrudes external auditory meatus so that
Electrode slice 1 is close to external auditory meatus, and what electrode slice 1 fully gathered human body mixes electric signal.The electric signal that mixes collected is transmitted
To processor, the program processing for for being executed by processor.It is specific as follows：
After processor acquisition mixes electric signal, electric signal will be mixed and first carry out notch filter, carry out bandpass filtering afterwards, filtered
Signal afterwards is amplified so that signal is readily identified again, and then clutter is classified by algorithm of support vector machine,
The feature of sorted each signal is extracted with NMF Algorithms of Non-Negative Matrix Factorization again, specifically, by sorted each signal
Algorithms of Non-Negative Matrix Factorization is substituted into separately as independent nonnegative matrix X：
X=WH
Set weights cost function be：
D=X/WH-log (X/WH) -1
H is standard reference signal in formula, and W is characterized masterplate.
The minimum value for obtaining D is trained by successive ignition, when D minimums, obtains feature masterplate W now, by should
Feature masterplate W is sample to identify the electric wave figure representated by nonnegative matrix X.Wherein electric wave figure includes electroencephalogram, electroculogram
And electromyogram.
After getting electroencephalogram, electroculogram and electromyogram, electroencephalogram, electroculogram are obtained by Fourier's computing in short-term respectively
With the frequency spectrum of electromyogram, the sleep state of human body is judged according to the frequency spectrum of electroencephalogram, and with electroculogram and the frequency spectrum of electromyogram
Verified, specifically, judge electroculogram and/or the sleep state corresponding to electromyogram and the sleep corresponding to electroencephalogram frequency spectrum
Whether state is consistent, if then determining the sleep state, if otherwise not knowing the sleep state, that is, gives up judged result.
Specifically, it is dormant to be classified as follows：
--- when the spectrum concentration of electroencephalogram is in 8-13Hz, it can determine whether that human body is in the clear-headed stage, if now electroculogram
Quick motion state is presented and high frequency motion state is presented in electromyogram, then receives the judged result, otherwise makees the judged result
Give up for erroneous judgement.
--- when the spectrum concentration of electroencephalogram is in 3-7Hz, it can determine whether that human body is in shallow and sleeps one section, if now electroculogram is in
Now high frequency motion state is presented in slow motion state and electromyogram, then receives the judged result, otherwise using the judged result as
Erroneous judgement is given up.
--- when the spectrum concentration of electroencephalogram is in 12-14Hz, it can determine whether that human body is in shallow and sleeps two sections, if now electroculogram
Slow motion state is presented and low frequency movement state is presented in electromyogram, then receives the judged result, otherwise makees the judged result
Give up for erroneous judgement.
--- when the spectrum concentration of electroencephalogram is in 0.5-2Hz, it can determine whether that human body is in deep sleep stages, if now electroculogram
Slow motion state is presented and low frequency movement state is presented in electromyogram, then receives the judged result, otherwise makees the judged result
Give up for erroneous judgement.
--- when electroencephalogram is without obvious concentrate, that is, when a large amount of mixing and relatively low amplitude is presented, it can determine whether that human body is in fast
Dynamic eye sleep, if now quick motion state is presented in electroculogram and irregular vibration is presented in electromyogram, receives the judged result,
Otherwise give up using the judged result as erroneous judgement.
When quick motion state is presented in electroculogram, its spectrum concentration is in more than 10Hz；Slow motion state is presented in electroculogram
When, its spectrum concentration is between 1-5Hz.When high frequency motion state is presented in electromyogram, its spectrum concentration is in more than 10Hz；Electromyogram
When low frequency movement state is presented, its spectrum concentration is between 1-5Hz.
Classified by being demarcated to sleep state, the sleep quality of human body is assessed according to classification and provides corresponding suggestion, is made one
Can voluntarily be stayed at home test sleep quality, easy to use, comfortable wearing.The sleep shape of human body is judged by the frequency spectrum of electroencephalogram
State, judged result is verified using the electroculogram and/or electromyogram that get after judgement, if electroculogram and/or flesh
The state that electrograph is showed and the sleep state judged be not corresponding, then uncertain judgment result, so as to ensure that sleep quality is commented
The accuracy estimated.
Finally it should be noted that the above embodiments are merely illustrative of the technical solutions of the present invention, rather than the present invention is protected
The limitation of scope is protected, although being explained with reference to preferred embodiment to the present invention, one of ordinary skill in the art should
Work as understanding, technical scheme can be modified or equivalent substitution, without departing from the reality of technical solution of the present invention
Matter and scope.
Claims (9)
1. a kind of computer-readable recording medium, it is stored with computer program, and the program realizes brain electricity when being executed by processor
Frequency spectrum obtaining step：Obtain the current electroencephalogram frequency spectrum of human body；
It is characterized in that also realize following steps：
Electroculogram obtaining step and/or electromyogram obtaining step：Obtain the electroculogram and/or electromyogram of human body；
Judgment step：Judge electroculogram and/or the sleep state corresponding to electromyogram and the sleep shape corresponding to electroencephalogram frequency spectrum
Whether state is consistent, if then determining the sleep state, if otherwise not knowing the sleep state.
2. a kind of computer-readable recording medium according to claim 1, it is characterized in that：In judgment step, brain is obtained
After electrograph frequency spectrum, according to concentrated in the frequency spectrum place frequency range come the sleep state corresponding to judging electroencephalogram frequency spectrum.
3. a kind of computer-readable recording medium according to claim 2, it is characterized in that：In judgment step, eye is drawn
The frequency spectrum of electrograph and/or electromyogram, according to concentrated in the frequency spectrum place frequency range judge electroculogram and/or electromyogram
Corresponding sleep state.
4. a kind of computer-readable recording medium according to claim 1 or 3, it is characterized in that：All frequency spectrums all pass through
Fourier computing is drawn.
5. a kind of computer-readable recording medium according to claim 1, it is characterized in that：Described program also realizes classification step
Suddenly, the electric signal that mixes of its human body to electrode slice collection is classified, and the feature of sorted each signal is extracted, with the spy
Sign identifies corresponding figure as sample, to realize the acquisition of each figure.
6. a kind of computer-readable recording medium according to claim 4, it is characterized in that：In classifying step, first by institute
State and just carry out the classification after mixing electric signal filter and amplification.
A kind of 7. computer-readable recording medium according to claim 1 or 3, it is characterized in that the sleep shape in judgment step
State includes following state：
It is clear-headed：The spectrum concentration of corresponding electroencephalogram is in 8-13Hz, and the spectrum concentration of corresponding electroculogram is in more than 10Hz and/or myoelectricity
The spectrum concentration of figure is in more than 10Hz；
It is shallow to sleep one section：The spectrum concentration of corresponding electroencephalogram in 3-7Hz, the spectrum concentration of corresponding electroculogram between 1-5Hz and/or
The spectrum concentration of electromyogram is in more than 10Hz；
It is shallow to sleep two sections：The spectrum concentration of corresponding electroencephalogram in 12-14Hz, the spectrum concentration of corresponding electroculogram between 1-5Hz and/
Or the spectrum concentration of electromyogram is between 1-5Hz；
Sound sleep：The spectrum concentration of corresponding electroencephalogram is in 0.5-2Hz, and the spectrum concentration of corresponding electroculogram is between 1-5Hz and/or flesh
The spectrum concentration of electrograph is between 1-5Hz；
REM sleep：Corresponding electroencephalogram is concentrated without obvious, and the spectrum concentration of corresponding electroculogram is in more than 10Hz and/or electromyogram
Irregular vibration is presented.
8. a kind of built-in earplug detection means, including earplug and processor, earplug, which is provided with, to be used to gather human body surface telecommunications
Number two electrode slices, two electrode slices electrically connect with processor respectively,
It is characterized in that：Also include computer-readable recording medium as described in claim any one of 1-7, this is computer-readable to deposit
Program on storage media can be run on a processor.
9. a kind of built-in earplug detection means according to claim 8, it is characterized in that：The electrode slice is arranged on earplug
The place of the external auditory meatus that can be bonded human ear of outer wall.
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| CN109044280A (en) * | 2018-08-20 | 2018-12-21 | 深圳和而泰数据资源与云技术有限公司 | A kind of sleep stage method and relevant device |
| WO2020187109A1 (en) * | 2019-03-15 | 2020-09-24 | 华为技术有限公司 | User sleep detection method and system |
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Application publication date: 20180403 |