CN106236083A - Sleep state removes the equipment of eye electricity artefact in analyzing - Google Patents

Sleep state removes the equipment of eye electricity artefact in analyzing Download PDF

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Publication number
CN106236083A
CN106236083A CN201610840431.8A CN201610840431A CN106236083A CN 106236083 A CN106236083 A CN 106236083A CN 201610840431 A CN201610840431 A CN 201610840431A CN 106236083 A CN106236083 A CN 106236083A
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intrinsic mode
mode functions
eeg signals
eye electricity
correlation coefficient
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CN106236083B (en
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赵巍
胡静
韩志
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Guangzhou Shiyuan Electronics Thecnology Co Ltd
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Guangzhou Shiyuan Electronics Thecnology Co Ltd
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Priority to PCT/CN2016/113143 priority patent/WO2018053968A1/en
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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
    • A61B5/369—Electroencephalography [EEG]
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/48—Other medical applications
    • A61B5/4806—Sleep evaluation
    • A61B5/4812—Detecting sleep stages or cycles
    • 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
    • A61B5/7203—Signal processing specially adapted for physiological signals or for diagnostic purposes for noise prevention, reduction or removal
    • 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
    • A61B5/7221—Determining signal validity, reliability or quality
    • 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
    • A61B5/7225—Details of analog processing, e.g. isolation amplifier, gain or sensitivity adjustment, filtering, baseline or drift compensation
    • 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

Abstract

The present invention relates to remove during a kind of sleep state is analyzed the equipment of eye electricity artefact, including: electrode for encephalograms, eye electricity electrode, reference electrode and the analog-digital converter of connection thereof, and the processor connected by analog-digital converter and filter circuit；Electrode for encephalograms is used for detecting original EEG signals；Eye electricity electrode is used for gathering electro-ocular signal；Analog-digital converter is used for analog digital conversion, and filter circuit inputs to processor after low frequency filtering；Processor, carries out empirical mode decomposition for EEG signals original to every frame, is broken down into several intrinsic mode functions, calculates the correlation coefficient between each intrinsic mode functions and electro-ocular signal of synchronization；Search and delete the intrinsic mode functions that correlation coefficient is maximum more than the intrinsic mode functions of predetermined threshold value and correlation coefficient, utilize remaining intrinsic mode functions to rebuild every frame EEG signals.The present invention can reduce the removal eye electricity artefact process impact on the waveform of EEG signals, remains most of detailed information of primary signal.

Description

Sleep state removes the equipment of eye electricity artefact in analyzing
Technical field
The present invention relates to assisting sleep technical field, particularly relate to remove eye electricity artefact during a kind of sleep state is analyzed Equipment.
Background technology
In sleep, human body has carried out the process that oneself loosens and recovers, and the best sleep is to maintain healthy A primary condition；But due to reasons such as operating pressure are big, daily life system is irregular, result in the sleep matter of part population Measure not good enough, show as insomnia, midnight wakes up with a start.
There are some equipment to help people to fall asleep at present, improved sleep quality.Such as specific sleep a certain By the manual intervention such as sound, optical signal under dormancy state, it is to avoid wake user etc. under the state of sleeping soundly.Assisting sleep is set For Bei, in order to be really achieved the purpose improving user's sleep quality, the correct sleep state identifying user is extremely important 's.
Polysomnogram (Polysomnography, PSG), also known as sleep electroencephalogram, is to examine for sleep the most clinically " goldstandard " broken and analyze.Polysomnogram utilizes multiple vital sign such as brain electricity, myoelectricity (under jaw), eye electricity, breathing, blood Sleep is analyzed by oxygen etc..In these sign, electroencephalogram (electroencephalogram, EOG) is in core Status.Electroencephalogram is to utilize accurate electronic machine, is recorded also by the electrical activity produced from cerebral cortex on scalp The waveshape signal amplified.Due to the signal of electroencephalogram the faintest (microvolt level), easily by the biological telecommunications from other positions Number interference.(not having stronger eyeball/eyelid activity such as nictation etc.) when electro-ocular signal amplitude is relatively low, electro-ocular signal is to brain electricity The interference ratio of signal is fainter.And electro-ocular signal amplitude higher time, owing to the frequency ratio normal brain activity signal of telecommunication of electro-ocular signal is low, high The electro-ocular signal of amplitude is superimposed upon in EEG signals and is the formation of a phenomenon being similar to baseline drift.
In order to reduce the impact that electro-ocular signal is brought, there is a lot of method removing eye electricity artefact at present.Independent element divides Analysis (Indepdent component analysis, ICA) is a kind of conventional method.It assumes initially that input signal is all system Count the linear combination of the signal of independent non-gaussian, then utilize linear transformation will come from Signal separator.Its shortcoming is (1) The assumed condition of input signal can not fully meet in actual use；(2) for the multiple signals after separating, in addition it is also necessary to enter One step judges which signal is " pure " EEG signals, and which signal is the electro-ocular signal being separated.Additionally, also method Assume that the electro-ocular signal factor of influence (such as 0.2) to EEG signals, then utilize EEG signals deduct be multiplied by affect because of The method of the electro-ocular signal of son removes eye electricity artefact, such as formula: EEGpure=EEGoriginal, owing to there is individual diversity in-0.2*EOG The difference of the position of different and eye electrode, a fixing factor of influence can not well adapt to different individualities.
Additionally, due in sleep state is analyzed, the waveform of EEG signals is a critically important sleep state index.Example Such as spindle wave and the appearance of K complex wave, indicate entry into the S2 phase of non-dynamic sleep of being sharp-eyed.Brain electricity after conventional process The waveform of signal often changes, and have impact on the follow-up analytical effect to EEG signals.
Summary of the invention
Based on this, it is necessary to for the problems referred to above, it is provided that a kind of sleep state removes the equipment of eye electricity artefact in analyzing, subtract Remove the impact on the waveform of EEG signals of the eye electricity artefact process less, it is ensured that the follow-up analytical effect to EEG signals.
A kind of sleep state removes the equipment of eye electricity artefact in analyzing, including: electrode for encephalograms, eye electricity electrode, reference electrode, Analog-digital converter, filter circuit and processor；
Described electrode for encephalograms, eye electricity electrode, reference electrode respectively connection mode number converter, and pass sequentially through described modulus and turn Parallel operation and filter circuit are connected to processor；
Described electrode for encephalograms is for detecting the user's original EEG signals in sleep；Described eye electricity electrode is used for gathering use Family electro-ocular signal in sleep；
Electro-ocular signal and EEG signals are converted to digital signal by described analog-digital converter, and described filter circuit is to eye telecommunications Number and EEG signals carry out low frequency filtering after input to processor；
Described processor, carries out empirical mode decomposition for EEG signals original to every frame, is broken down into several Levy modular function, calculate the correlation coefficient between each intrinsic mode functions and electro-ocular signal of synchronization；Search and delete relevant The intrinsic mode functions that coefficient is maximum more than the intrinsic mode functions of predetermined threshold value and correlation coefficient, utilizes remaining intrinsic mode functions weight Build every frame EEG signals.
Above-mentioned sleep state removes the equipment of eye electricity artefact in analyzing, utilize the electro-ocular signal of the user that eye electricity electrode gathers The original EEG signals gathered with electrode for encephalograms, after analog digital conversion and Filtering Processing, by processor brain original to every frame electricity Signal carries out empirical mode decomposition, is broken down into several intrinsic mode functions, calculates each intrinsic mode functions and synchronization Electro-ocular signal between correlation coefficient；Search and delete correlation coefficient and be more than intrinsic mode functions and the correlation coefficient of predetermined threshold value Maximum intrinsic mode functions, utilizes remaining intrinsic mode functions to rebuild every frame EEG signals.This equipment can reduce removal eye electricity The impact on the waveform of EEG signals of the artefact process, remains most of detailed information of primary signal, it is ensured that follow-up to brain electricity The analytical effect of signal.
Accompanying drawing explanation
Fig. 1 is the structural representation figure of equipment removing eye electricity artefact during the sleep state of an embodiment is analyzed；
Fig. 2 is the algorithm flow chart that eye electricity artefact removed by processor；
Fig. 3 is the experimental data schematic diagram removing eye electricity artefact.
Detailed description of the invention
Illustrate the embodiment of the equipment removing eye electricity artefact in the sleep state analysis of the present invention below in conjunction with the accompanying drawings.
With reference to shown in Fig. 1, Fig. 1 is the structural representation of the equipment removing eye electricity artefact during the sleep state of the present invention is analyzed Figure, including: electrode for encephalograms, eye electricity electrode, reference electrode, analog-digital converter, filter circuit and processor；
Described electrode for encephalograms, eye electricity electrode, reference electrode respectively connection mode number converter, and pass sequentially through described modulus and turn Parallel operation and filter circuit are connected to processor；
Described electrode for encephalograms is for detecting the user's original EEG signals in sleep；Described eye electricity electrode is used for gathering use Family electro-ocular signal in sleep；
Electro-ocular signal and EEG signals are converted to digital signal by described analog-digital converter, and described filter circuit is to eye telecommunications Number and EEG signals carry out low frequency filtering after input to processor；
Described processor, carries out empirical mode decomposition for EEG signals original to every frame, is broken down into several Levy modular function, calculate the correlation coefficient between each intrinsic mode functions and electro-ocular signal of synchronization；Search and delete relevant The intrinsic mode functions that coefficient is maximum more than the intrinsic mode functions of predetermined threshold value and correlation coefficient, utilizes remaining intrinsic mode functions weight Build every frame EEG signals.
The sleep state of above-described embodiment removes the equipment of eye electricity artefact in analyzing, utilize the user's that eye electricity electrode gathers The original EEG signals that electro-ocular signal and electrode for encephalograms gather, after analog digital conversion and Filtering Processing, by processor to every frame Original EEG signals carries out empirical mode decomposition, is broken down into several intrinsic mode functions, calculate each intrinsic mode functions with Correlation coefficient between the electro-ocular signal of synchronization；Search and delete correlation coefficient more than predetermined threshold value intrinsic mode functions and The intrinsic mode functions that correlation coefficient is maximum, utilizes remaining intrinsic mode functions to rebuild every frame EEG signals.This equipment can reduce Remove the impact on the waveform of EEG signals of the eye electricity artefact process, remain most of detailed information of primary signal, it is ensured that after The continuous analytical effect to EEG signals.
The follow-up EEG signals that this equipment can be utilized to export carries out sleep state monitoring and analysis etc., and certainly, this is follow-up Process can also go on the processor realize.
In one embodiment, described electrode for encephalograms is arranged on the forehead position of user；Described reference electrode is arranged on use The ear-lobe at family；Described eye electricity electrode is arranged on position, canthus；As it is shown in figure 1, in figure, " M " in electrode for encephalograms i.e. figure, eye electricity electricity Pole includes left and right two electrodes, i.e. " ROC " and " LOC " in figure, reference electrode be arranged in the ear-lobe of user, i.e. figure " R " and " L ", in acceleration transducer i.e. figure " AT ".Filter circuit mainly carry out low-pass filtering and filter Hz noise, in order to adapt to After EEG signals and the process of electro-ocular signal, filter circuit filtering, the signal of output 0-256Hz frequency range is to processor.
For removing eye electricity artefact function, mainly carried out by processor, the function realized based on processor, Ke Yi Processor configures corresponding algoritic module.
Processor is removed the algorithm flow of eye electricity artefact and is included (1)～(5), specific as follows:
(1) processor controls eye electricity electrode and electrode for encephalograms and gathers the electro-ocular signal of user and original according to setting frame length EEG signals；
As user carried out during the sleep state such as assisting sleep analyzes, processor can to set frame length, by with Eye electricity electrode that family is worn and electrode for encephalograms, gather electro-ocular signal and EEG signals that user produces in sleep procedure.Adopting During collection signal, can be that a frame is acquired with 30s, follow-up be analyzed every frame electro-ocular signal and EEG signals processes.
(2) EEG signals original to this frame carries out empirical mode decomposition, is broken down into several intrinsic mode functions, obtains Intrinsic mode functions set；
Here, processor carries out empirical mode decomposition to EEG signals, it is broken down into several intrinsic mode functions (Intrinsic Mode Function, IMF) and the form of residual error function (Redisual, Re) sum.
Intrinsic mode functions set includes equation below:
EEG o r i g i n a l = Σ i = 1 n imf i + Re
In formula, EEGoriginalRepresent original EEG signals, imfiRepresenting i-th intrinsic mode functions, Re represents residual error function.
(3) calculate respectively between each intrinsic mode functions and electro-ocular signal of synchronization of described intrinsic mode functions set Correlation coefficient；
Being the algorithm flow chart that eye electricity artefact removed by processor with reference to Fig. 2, Fig. 2, original EEG signals carries out empirical modal After decomposition, obtain intrinsic mode functions set, calculate intrinsic mode functions 1-n (imf respectively1～imfn) relevant to electro-ocular signal EOG Coefficient 1-n (corrcoef1～corrcoefn)。
(4) intrinsic mode functions that correlation coefficient is maximum more than the intrinsic mode functions of predetermined threshold value and correlation coefficient is found out, And it is deleted from intrinsic mode functions set；
As in figure 2 it is shown, by setting threshold value, after having calculated correlation coefficient, correlation coefficient is more than the eigen mode of threshold value The intrinsic mode functions of function and correlation coefficient maximum is deleted, remaining m intrinsic mode functions.
As an embodiment, after having calculated correlation coefficient, processor can be also used at correlation coefficient more than presetting In the intrinsic mode functions of threshold value；Calculate the Euclidean distance of intrinsic mode functions and electro-ocular signal；From the eigen mode that Euclidean distance is minimum Function is rejected from intrinsic mode functions set.
Being similar to, after having calculated correlation coefficient, processor can be also used for being more than the basis of predetermined threshold value at correlation coefficient Levy in modular function；Calculate the COS distance of intrinsic mode functions and electro-ocular signal；From the intrinsic mode functions of COS distance minimum from this Levy in modular function set and reject.
By above-described embodiment, correlation coefficient judgement basis combines Euclidean distance or COS distance judges, permissible The more eye electricity artefacts left over cannot removed in judging with correlation coefficient are removed.
(5) remaining intrinsic mode functions in intrinsic mode functions set is utilized to rebuild this frame EEG signals；
Processor is after eliminating eye electricity artefact, after utilizing remaining m intrinsic mode functions reconstruction to eliminate eye electricity artefact EEG signals.As an embodiment, processor when rebuilding EEG signals, putting in order according to intrinsic mode functions, choosing Select several forward intrinsic mode functions of position in intrinsic mode functions set to carry out rebuilding EEG signals.
In this embodiment, owing to putting in order of intrinsic mode functions is descending by frequency, and with electro-ocular signal phase It is generally aligned at centre position like spending the highest intrinsic mode functions, therefore when rebuilding EEG signals, can be merely with front some Individual intrinsic mode functions, after deleting the intrinsic mode functions that the frequency including the intrinsic mode functions that similarity is the highest is relatively low, then weighs Build EEG signals.
Wherein, processor can use equation below rebuild EEG signals:
EEG p u r e = &Sigma; i = 1 m imf i , c o r r c o e f ( imf i , E O G ) < min ( t h r e , corrcoef max )
In formula, EEGpureRepresenting the EEG signals rebuild, corrcoef represents that correlation coefficient, imf represent i-th eigen mode Function, EOG represents electro-ocular signal, corrcoefmaxRepresenting maximum correlation coefficient, thre represents default correlation coefficient threshold.
In one embodiment, processor can be before carrying out empirical mode decomposition to original EEG signals, first by original EEG signals frame is divided into N number of time window, and the EEG signals of each time window is carried out intrinsic mode functions decomposition；And After rebuilding EEG signals, the EEG signals that each time window is rebuild is merged, obtains EEG signals frame.
Above-described embodiment, divides multiple time window parallel processings by the original EEG signals frame that will gather, it is possible to add Fast signal processing speed, improves the efficiency that sleep state is analyzed.
Such as, as a example by 30s mono-frame, can be a time window length with 5s or 10s.
The sleep state of the present invention removes the equipment of eye electricity artefact in analyzing, it is similar that a removal high-amplitude eye electricity is caused In the artefact of baseline drift, and remain most of detailed information of primary signal；This EEG signals of follow-up use goes to carry out When sleep state is analyzed, more preferable effect can be obtained.
With reference to shown in Fig. 3, Fig. 3 is the experimental data schematic diagram removing eye electricity artefact.Fig. 3 (a) is original for gather EEG signals, Fig. 3 (b) is the electro-ocular signal gathered, Fig. 3 (c) compare remove EEG signals before and after eye electricity artefact (in figure, 1. it is original EEG signals；2. for the EEG signals after removal eye electricity artefact), figure below is that upper figure intercepts magnified partial view, permissible Finding, between the data point in above-mentioned interval, eye electricity eliminate same is given in the deep V-arrangement fluctuation that the amplitude brought is bigger by this programme Time, and remain more raw information.
Relative to traditional method (such as ICA etc.), the multiple signals of input are considered as the multichannel source after linear combination to believe Number, and attempt separated from one another for these signals, traditional method can obtain reasonable effect on a periodic signal.And for For EEG signals, owing to EEG signals and electro-ocular signal can be seen as stochastic signal, and outside EEG signals is easily subject to Portion disturbs, and is difficult to be completely separated out EEG signals and electro-ocular signal, and now EEG signals will be mixed into extra noise signal, Increase the difficulty of follow-up signal Treatment Analysis.And technical scheme, what only removal high-amplitude eye electricity brought is similar to The artefact of baseline drift, remains most of detailed information of primary signal.It is thus advantageous to follow-up brain based on time domain electricity The process of signal analysis method.
Each technical characteristic of embodiment described above can combine arbitrarily, for making description succinct, not to above-mentioned reality The all possible combination of each technical characteristic executed in example is all described, but, as long as the combination of these technical characteristics is not deposited In contradiction, all it is considered to be the scope that this specification is recorded.
Embodiment described above only have expressed the several embodiments of the present invention, and it describes more concrete and detailed, but also Can not therefore be construed as limiting the scope of the patent.It should be pointed out that, come for those of ordinary skill in the art Saying, without departing from the inventive concept of the premise, it is also possible to make some deformation and improvement, these broadly fall into the protection of the present invention Scope.Therefore, the protection domain of patent of the present invention should be as the criterion with claims.

Claims (10)

1. remove the equipment of eye electricity artefact during a sleep state is analyzed, it is characterised in that including: electrode for encephalograms, eye electricity electrode, Reference electrode, analog-digital converter, filter circuit and processor；
Described electrode for encephalograms, eye electricity electrode, reference electrode connection mode number converter respectively, and pass sequentially through described analog-digital converter It is connected to processor with filter circuit；
Described electrode for encephalograms is for detecting the user's original EEG signals in sleep；Described eye electricity electrode is used for gathering user and exists Electro-ocular signal in sleep；
Electro-ocular signal and EEG signals are converted to digital signal by described analog-digital converter, described filter circuit to electro-ocular signal and EEG signals inputs to processor after carrying out low frequency filtering；
Described processor, carries out empirical mode decomposition for EEG signals original to every frame, is broken down into several eigen modes Function, calculates the correlation coefficient between each intrinsic mode functions and electro-ocular signal of synchronization；Search and delete correlation coefficient The intrinsic mode functions maximum more than the intrinsic mode functions of predetermined threshold value and correlation coefficient, utilizes remaining intrinsic mode functions to rebuild every Frame EEG signals.
Sleep state the most according to claim 1 removes the equipment of eye electricity artefact in analyzing, it is characterised in that described brain electricity Electrode is arranged on the forehead position of user；Described reference electrode is arranged on the ear-lobe of user；Described eye electricity electrode is arranged on canthus Position；The signal of described filter circuit output 0-256Hz frequency range.
Sleep state the most according to claim 1 removes the equipment of eye electricity artefact in analyzing, it is characterised in that described process Device, for according to setting the electro-ocular signal of frame length collection user and original EEG signals；EEG signals original to this frame is carried out Empirical mode decomposition, is broken down into several intrinsic mode functions, obtains intrinsic mode functions set；Calculate described eigen mode respectively Correlation coefficient between each intrinsic mode functions and electro-ocular signal of synchronization of function set；Find out correlation coefficient to be more than The intrinsic mode functions of predetermined threshold value and the intrinsic mode functions of correlation coefficient maximum, and it is deleted from intrinsic mode functions set； Remaining intrinsic mode functions in intrinsic mode functions set is utilized to rebuild this frame EEG signals.
Sleep state the most according to claim 3 removes the equipment of eye electricity artefact in analyzing, it is characterised in that described intrinsic Modular function set includes equation below:
EEG o r i g i n a l = &Sigma; i = 1 n imf i + Re
In formula, EEGoriginalRepresent original EEG signals, imfiRepresenting i-th intrinsic mode functions, Re represents residual error function.
Sleep state the most according to claim 1 removes the equipment of eye electricity artefact in analyzing, it is characterised in that described process Device employing equation below reconstruction EEG signals:
EEG p u r e = &Sigma; i = 1 m imf i , c o r r c o e f ( imf i , E O G ) < min ( t h r e , corrcoef max )
In formula, EEGpureRepresenting the EEG signals rebuild, corrcoef represents that correlation coefficient, imf represent i-th intrinsic mode functions, EOG represents electro-ocular signal, corrcoefmaxRepresenting maximum correlation coefficient, thre represents default correlation coefficient threshold.
Sleep state the most according to claim 3 removes the equipment of eye electricity artefact in analyzing, it is characterised in that described process Device, is additionally operable in the correlation coefficient intrinsic mode functions more than predetermined threshold value；Calculate the Euclidean of intrinsic mode functions and electro-ocular signal Distance；The intrinsic mode functions that Euclidean distance is minimum is rejected from intrinsic mode functions set.
Sleep state the most according to claim 3 removes the equipment of eye electricity artefact in analyzing, it is characterised in that described process Device, is additionally operable in the correlation coefficient intrinsic mode functions more than predetermined threshold value；Calculate the cosine of intrinsic mode functions and electro-ocular signal Distance；The intrinsic mode functions minimum from COS distance is rejected from intrinsic mode functions set.
Sleep state the most according to claim 3 removes the equipment of eye electricity artefact in analyzing, it is characterised in that described process Device, is additionally operable to before original EEG signals is carried out empirical mode decomposition, and original EEG signals frame is divided into several time Window, and the EEG signals of each time window is carried out intrinsic mode functions decomposition；And by each after rebuilding EEG signals The EEG signals that time window is rebuild merges, and obtains EEG signals frame.
Sleep state the most according to claim 3 removes the equipment of eye electricity artefact in analyzing, it is characterised in that described process Device, is additionally operable to when rebuilding EEG signals, putting in order according to intrinsic mode functions, selects position in intrinsic mode functions set to lean on Several front intrinsic mode functions carry out rebuilding EEG signals.
Sleep state the most according to claim 5 removes the equipment of eye electricity artefact in analyzing, it is characterised in that described pre- If threshold value is 0.5, described frame length is 30s, a length of 5s or 10s of described time window.
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