CN106236083B - The equipment that eye electricity artefact is removed in sleep state analysis - Google Patents
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- A61B5/24—Detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof
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Abstract
The equipment that eye electricity artefact is removed in being analyzed the present invention relates to a kind of sleep state, including：Electrode for encephalograms, eye electricity electrode, reference electrode and its analog-digital converter of connection, and the processor connected by analog-digital converter with filter circuit；Electrode for encephalograms is used to detect original EEG signals；Eye electrode is used to gather electro-ocular signal；Analog-digital converter is used for analog-to-digital conversion, and filter circuit is inputted to processor after being used for low frequency filtering；Processor, for carrying out empirical mode decomposition to the filtered EEG signals of every frame, several intrinsic mode functions are broken down into, calculate the coefficient correlation between each intrinsic mode functions and the electro-ocular signal of synchronization；Search and delete the coefficient correlation intrinsic mode functions maximum more than the intrinsic mode functions and coefficient correlation of predetermined threshold value, rebuild using remaining intrinsic mode functions per frame EEG signals.The present invention can reduce the influence for removing eye electricity artefact process to the waveform of EEG signals, remain most of detailed information of primary signal.
Description
Technical field
The present invention relates to assisting sleep technical field, and eye electricity artefact is removed in being analyzed more particularly to a kind of sleep state
Equipment.
Background technology
In sleep, human body has carried out the process self loosened and recovered, therefore good sleep is to maintain health
A primary condition；But due to the reason such as operating pressure is big, daily life system is irregular, it 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 on the market at present, improved sleep quality.Such as specific slept a certain
By manual interventions such as sound, optical signals under dormancy state, avoid waking user etc. under the state of sleeping soundly.For setting for assisting sleep
For standby, in order to be really achieved the purpose for improving user's sleep quality, correctly identify that the sleep state of user is extremely important
's.
Polysomnogram (Polysomnography, PSG), also known as sleep electroencephalogram, it is clinically to be examined at present for sleep
It is disconnected and analysis " goldstandard ".Polysomnogram utilizes a variety of vital signs such as brain electricity, myoelectricity (under jaw), eye electricity, breathing, blood
Oxygen etc. is analyzed sleep.In these signs, electroencephalogram (electroencephalogram, EOG) is in core
Status.Electroencephalogram is using accurate electronic instrument, will be recorded simultaneously from electrical activity caused by cerebral cortex on scalp
The waveform signal of amplification.Because the signal of electroencephalogram is very faint (microvolt level), easily by the biological telecommunications from other positions
Number interference.When electro-ocular signal amplitude is relatively low (no stronger eyeball/eyelid activity is such as blinked), electro-ocular signal is to brain electricity
The interference of signal is fainter.And electro-ocular signal amplitude it is higher when, it is high because the frequency of electro-ocular signal is lower than normal EEG signals
The electro-ocular signal of amplitude, which is superimposed upon, is formed a phenomenon for being similar to baseline drift on EEG signals.
In order to reduce influence caused by electro-ocular signal, there are many methods for removing eye electricity artefact at present.Independent element point
It is a kind of conventional method to analyse (Indepdent component analysis, ICA).It assumes initially that input signal is all system
The linear combination of the signal of independent non-gaussian is counted, then will come from Signal separator using linear transformation.Its shortcomings that is (1)
The assumed condition of input signal can not be fully met in actual use；(2) for multiple signals after separation, 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.In addition, also method
Assume that factor of influence (such as 0.2) of the electro-ocular signal to EEG signals, then subtracted using EEG signals be multiplied by influence because
The method of the electro-ocular signal of son removes eye electricity artefact, such as formula：EEGpure=EEGoriginal- 0.2*EOG, due to individual difference be present
The difference of different and eye electrode position, a fixed factor of influence can not well adapt to different individuals.
Further, since in sleep state analysis, the waveform of EEG signals is a critically important sleep state index.Example
Such as the appearance of spindle wave and K complex waves, the S2 phases of non-dynamic sleep of being sharp-eyed have been indicated entry into.Brain electricity after conventional process
The waveform of signal often changes, and have impact on subsequently to the analytical effect of EEG signals.
The content of the invention
Based on this, it is necessary in view of the above-mentioned problems, providing the equipment that eye electricity artefact is removed in a kind of sleep state analysis, subtract
Few influence for removing eye electricity artefact process to the waveform of EEG signals, it is ensured that subsequently to the analytical effect of EEG signals.
A kind of equipment that eye electricity artefact is removed in sleep state analysis, including：Electrode for encephalograms, eye electricity electrode, reference electrode,
Analog-digital converter, filter circuit and processor；
The electrode for encephalograms, eye electricity electrode, reference electrode connect analog-digital converter respectively, and pass sequentially through the modulus and turn
Parallel operation and filter circuit are connected to processor；
The electrode for encephalograms is used to detect EEG signals of the user in sleep；The eye electricity electrode exists for gathering user
Electro-ocular signal in sleep；
Electro-ocular signal and EEG signals are converted to data signal by the analog-digital converter, and the filter circuit is to eye telecommunications
Number and EEG signals carry out low frequency filtering after input to processor；
The processor, for carrying out empirical mode decomposition to the filtered EEG signals of every frame, it is broken down into some
Individual intrinsic mode functions, calculate the coefficient correlation between each intrinsic mode functions and the electro-ocular signal of synchronization；Search and delete
Coefficient correlation is more than the intrinsic mode functions of predetermined threshold value and the intrinsic mode functions that coefficient correlation is maximum, utilizes remaining eigen mode letter
Number is rebuild per frame EEG signals.
The equipment that eye electricity artefact is removed in above-mentioned sleep state analysis, utilizes the electro-ocular signal of the user of eye electricity electrode collection
It is electric to the filtered brain of every frame by processor after analog-to-digital conversion and filtering process with the EEG signals of electrode for encephalograms collection
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 coefficient correlation；Search and delete intrinsic mode functions and coefficient correlation that coefficient correlation is more than predetermined threshold value
Maximum intrinsic mode functions, rebuild using remaining intrinsic mode functions per frame EEG signals.The equipment, which can be reduced, removes eye electricity
Influence of the artefact process to the waveform of EEG signals, remain most of detailed information of signal, it is ensured that subsequently to EEG signals
Analytical effect.
Brief description of the drawings
Fig. 1 is the structural representation figure for the equipment that eye electricity artefact is removed in the sleep state analysis of one embodiment；
Fig. 2 is the algorithm flow chart that processor removes eye electricity artefact；
Fig. 3 is the experimental data schematic diagram for removing eye electricity artefact.
Embodiment
The embodiment for the equipment that eye electricity artefact is removed in the sleep state analysis of the present invention is illustrated below in conjunction with the accompanying drawings.
With reference to shown in figure 1, Fig. 1 is the structural representation for the equipment that eye electricity artefact is removed in the sleep state analysis of the present invention
Figure, including：Electrode for encephalograms, eye electricity electrode, reference electrode, analog-digital converter, filter circuit and processor；
The electrode for encephalograms, eye electricity electrode, reference electrode connect analog-digital converter respectively, and pass sequentially through the modulus and turn
Parallel operation and filter circuit are connected to processor；
The electrode for encephalograms is used to detect EEG signals of the user in sleep；The eye electricity electrode exists for gathering user
Electro-ocular signal in sleep；
Electro-ocular signal and EEG signals are converted to data signal by the analog-digital converter, and the filter circuit is to eye telecommunications
Number and EEG signals carry out low frequency filtering after input to processor；
The processor, for carrying out empirical mode decomposition to the filtered EEG signals of every frame, it is broken down into some
Individual intrinsic mode functions, calculate the coefficient correlation between each intrinsic mode functions and the electro-ocular signal of synchronization；Search and delete
Coefficient correlation is more than the intrinsic mode functions of predetermined threshold value and the intrinsic mode functions that coefficient correlation is maximum, utilizes remaining eigen mode letter
Number is rebuild per frame EEG signals.
The equipment that eye electricity artefact is removed in the sleep state analysis of above-described embodiment, the user's gathered using eye electricity electrode
Electro-ocular signal and the EEG signals of electrode for encephalograms collection, after analog-to-digital conversion and filtering process, are filtered by processor to every frame
Rear EEG signals carry out empirical mode decomposition, are broken down into several intrinsic mode functions, calculate each intrinsic mode functions with
Coefficient correlation between the electro-ocular signal of synchronization；Search and delete coefficient correlation more than predetermined threshold value intrinsic mode functions and
The maximum intrinsic mode functions of coefficient correlation, are rebuild per frame EEG signals using remaining intrinsic mode functions.The equipment can be reduced
Influence of the eye electricity artefact process to the waveform of EEG signals is removed, remains most of detailed information of signal, it is ensured that be follow-up right
The analytical effect of EEG signals.
The EEG signals that can be subsequently exported using the equipment carry out sleep state monitoring and analysis etc., and certainly, this is follow-up
Processing can also go to realize on the processor.
In one embodiment, the electrode for encephalograms is arranged on the forehead position of user；The reference electrode is arranged on use
The ear-lobe at family；The eye electricity electrode is arranged on canthus position；As shown in figure 1, in figure, electrode for encephalograms is " M " in figure, and eye electricity is electric
Pole includes two electrodes in left and right, i.e., " ROC " and " LOC " in figure, reference electrode is arranged on the ear-lobe of user, i.e., in figure " R " and
" L ", acceleration transducer are " AT " in figure.Filter circuit mainly carries out LPF and filters out Hz noise, in order to adapt to
In the processing of EEG signals and electro-ocular signal, after filter circuit filtering, the signals of 0-256Hz frequency ranges is exported to processor.
For removing eye electricity artefact function, mainly carried out by processor, the function of being realized based on processor, Ke Yi
Corresponding algoritic module is configured in processor.
The algorithm flow that processor removes eye electricity artefact includes (1)~(5), specific as follows：
(1) processor control eye electricity electrode and electrode for encephalograms are electric according to the electro-ocular signal and brain of setting frame length collection user
Signal；
Such as in the analysis of assisting sleep sleep state is carried out to user, processor can to set frame length, by using
The eye electricity electrode and electrode for encephalograms that family is worn, gather user caused electro-ocular signal and EEG signals in sleep procedure.Adopting
When collecting signal, it can be acquired by a frame of 30s, subsequently every frame electro-ocular signal and EEG signals are analyzed and processed.
(2) empirical mode decomposition is carried out to the frame EEG signals, is broken down into several intrinsic mode functions, obtains intrinsic
Modular function set；
Here, processor carries out empirical mode decomposition to EEG signals, several intrinsic mode functions are broken down into
(Intrinsic Mode Function, IMF) and residual error function (Redisual, Re) sum form.
Intrinsic mode functions set includes equation below：
In formula, EEGoriginalRepresent EEG signals, imfiI-th of intrinsic mode functions is represented, Re represents residual error function.
(3) calculate respectively between each intrinsic mode functions of the intrinsic mode functions set and the electro-ocular signal of synchronization
Coefficient correlation；
With reference to figure 2, Fig. 2 is the algorithm flow chart that processor removes eye electricity artefact, and EEG signals carry out empirical mode decomposition
Afterwards, intrinsic mode functions set is obtained, calculates intrinsic mode functions 1-n (imf respectively1~imfn) with electro-ocular signal EOG coefficient correlation
1-n(corrcoef1~corrcoefn)。
(4) the coefficient correlation intrinsic mode functions maximum more than the intrinsic mode functions and coefficient correlation of predetermined threshold value are found out,
And it is deleted from intrinsic mode functions set；
As shown in Fig. 2 by given threshold, after coefficient correlation has been calculated, coefficient correlation is more than to the eigen mode of threshold value
The intrinsic mode functions of function and coefficient correlation maximum are deleted, remaining m intrinsic mode functions.
As one embodiment, after coefficient correlation has been calculated, processor can be also used for being more than in coefficient correlation and preset
In the intrinsic mode functions of threshold value；Calculate intrinsic mode functions and the Euclidean distance of electro-ocular signal；The eigen mode minimum from Euclidean distance
Function is rejected from intrinsic mode functions set.
Similar, after coefficient correlation has been calculated, processor can be also used for the sheet for being more than predetermined threshold value in coefficient correlation
Levy in modular function；Calculate the COS distance of intrinsic mode functions and electro-ocular signal；The intrinsic mode functions minimum from COS distance are from originally
Rejected in sign modular function set.
By above-described embodiment, Euclidean distance is combined on coefficient correlation judgement basis or COS distance judges, can be with
The eye electricity artefact more left that can not be removed in judging with coefficient correlation removes.
(5) remaining intrinsic mode functions in intrinsic mode functions set are utilized to rebuild the frame EEG signals；
Processor is rebuild after eliminating eye electricity artefact after eye electricity artefact is eliminated using remaining m intrinsic mode functions
EEG signals.As one embodiment, processor is when rebuilding EEG signals, according to putting in order for intrinsic mode functions, choosing
Select several intrinsic mode functions before intrinsic mode functions set middle position rests against and carry out reconstruction EEG signals.
In the embodiment, because putting in order for intrinsic mode functions is descending by frequency, and with electro-ocular signal phase
Centre position is generally aligned at like degree highest intrinsic mode functions, therefore when rebuilding EEG signals, can be merely with preceding some
Individual intrinsic mode functions, after deleting the relatively low intrinsic mode functions of frequency including similarity highest intrinsic mode functions, then weigh
Build EEG signals.
Wherein, processor can use equation below to rebuild EEG signals：
In formula, EEGpureThe EEG signals rebuild are represented, corrcoef represents coefficient correlation, imfiRepresent i-th of eigen mode
Function, EOG represent electro-ocular signal, corrcoefmaxMaximum coefficient correlation is represented, thre represents default correlation coefficient threshold.
In one embodiment, processor can be before empirical mode decomposition be carried out, first by EEG signals to EEG signals
Frame is divided into N number of time window, and carries out intrinsic mode functions decomposition to the EEG signals of each time window；And rebuilding brain
After electric signal, the EEG signals that each time window is rebuild are merged, obtain EEG signals frame.
Above-described embodiment, by the way that the EEG signals frame of collection is divided into multiple time window parallel processings, it can accelerate to believe
Number processing speed, improve the efficiency of sleep state analysis.
For example, by taking the frames of 30s mono- as an example, can be using 5s or 10s as a time window length.
The equipment that eye electricity artefact is removed in the sleep state analysis of the present invention, it is only similar caused by removal high-amplitude eye electricity
In the artefact of baseline drift, and remain most of detailed information of signal；Subsequently go to be slept using the EEG signals
During state analysis, more preferable effect can be obtained.
With reference to shown in figure 3, Fig. 3 is the experimental data schematic diagram for removing eye electricity artefact.Fig. 3 (a) is the brain electricity of collection
Signal, Fig. 3 (b) be collection electro-ocular signal, Fig. 3 (c) compare remove eye electricity artefact before and after EEG signals (in figure, 1. for
EEG signals；2. to remove the EEG signals after eye electricity artefact), figure below is upper figure interception magnified partial view, it is found that above-mentioned
Between data point in section, the larger deep V-arrangement fluctuation of the amplitude brought by eye electricity by this programme to eliminating while, and protect
More information is stayed.
The multiple signals of input are considered as the letter of the multichannel source after linear combination relative to conventional method (such as ICA)
Number, and attempt each other to separate these signals, conventional method it can obtain relatively good effect on a periodic signal.And for
For EEG signals, because EEG signals and electro-ocular signal can be seen as random signal, and EEG signals are easily by outer
Portion disturbs, it is difficult to which EEG signals and electro-ocular signal are completely separated out, 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 was brought is similar to
The artefact of baseline drift, remain most of detailed information of signal.Therefore the follow-up EEG signals based on time domain are advantageous to
The processing of analysis method.
Each technical characteristic of embodiment described above can be combined arbitrarily, to make description succinct, not to above-mentioned reality
Apply all possible combination of each technical characteristic in example to be all described, as long as however, the combination of these technical characteristics is not deposited
In contradiction, the scope that this specification is recorded all is considered to be.
Embodiment described above only expresses the several embodiments of the present invention, and its description is more specific and detailed, but simultaneously
Can not therefore it be construed as limiting the scope of the patent.It should be pointed out that come for one of ordinary skill in the art
Say, without departing from the inventive concept of the premise, various modifications and improvements can be made, these belong to the protection of the present invention
Scope.Therefore, the protection domain of patent of the present invention should be determined by the appended claims.
Claims (10)
1. the equipment of eye electricity artefact is removed in a kind of sleep state analysis, it is characterised in that including：Electrode for encephalograms, eye electricity electrode,
Reference electrode, analog-digital converter, filter circuit and processor；
The electrode for encephalograms, eye electricity electrode, reference electrode connect analog-digital converter, and pass sequentially through the analog-digital converter respectively
Processor is connected to filter circuit；
The electrode for encephalograms is used to detect EEG signals of the user in sleep；The eye electricity electrode is being slept for gathering user
In electro-ocular signal；
Electro-ocular signal and EEG signals are converted to data signal by the analog-digital converter, the filter circuit to electro-ocular signal and
EEG signals are inputted to processor after carrying out low frequency filtering；
The processor, for carrying out empirical mode decomposition to the filtered EEG signals of every frame, it is broken down into several
Modular function is levied, calculates the coefficient correlation between each intrinsic mode functions and the electro-ocular signal of synchronization；Search and delete correlation
Coefficient is more than the intrinsic mode functions of predetermined threshold value and the intrinsic mode functions that coefficient correlation is maximum, utilizes remaining intrinsic mode functions weight
Build every frame EEG signals.
2. the equipment of eye electricity artefact is removed in sleep state analysis according to claim 1, it is characterised in that the brain electricity
Electrode is arranged on the forehead position of user；The reference electrode is arranged on the ear-lobe of user；The eye electricity electrode is arranged on canthus
Position；The signal of the filter circuit output 0-256Hz frequency ranges.
3. the equipment of eye electricity artefact is removed in sleep state analysis according to claim 1, it is characterised in that the processing
Device, for the electro-ocular signal and EEG signals according to setting frame length collection user；Empirical modal is carried out to the frame EEG signals
Decompose, be broken down into several intrinsic mode functions, obtain intrinsic mode functions set；The intrinsic mode functions set is calculated respectively
Each intrinsic mode functions and synchronization electro-ocular signal between coefficient correlation；Find out coefficient correlation and be more than predetermined threshold value
Intrinsic mode functions and the maximum intrinsic mode functions of coefficient correlation, and it is deleted from intrinsic mode functions set；Using intrinsic
Remaining intrinsic mode functions rebuild the frame EEG signals in modular function set.
4. the equipment of eye electricity artefact is removed in sleep state analysis according to claim 3, it is characterised in that described intrinsic
Modular function set includes equation below：
In formula, EEGoriginalRepresent EEG signals, imfiI-th of intrinsic mode functions is represented, Re represents residual error function.
5. the equipment of eye electricity artefact is removed in sleep state analysis according to claim 1, it is characterised in that the processing
Device rebuilds EEG signals using equation below：
In formula, EEGpureThe EEG signals rebuild are represented, corrcoef represents coefficient correlation, imfiRepresent i-th of eigen mode letter
Number, EOG represent electro-ocular signal, corrcoefmaxMaximum coefficient correlation is represented, thre represents default correlation coefficient threshold.
6. the equipment of eye electricity artefact is removed in sleep state analysis according to claim 3, it is characterised in that the processing
Device, it is additionally operable in the intrinsic mode functions that coefficient correlation is more than predetermined threshold value, calculates the Euclidean of intrinsic mode functions and electro-ocular signal
Distance, the minimum intrinsic mode functions of Euclidean distance are rejected from intrinsic mode functions set.
7. the equipment of eye electricity artefact is removed in sleep state analysis according to claim 3, it is characterised in that the processing
Device, it is additionally operable in the intrinsic mode functions that coefficient correlation is more than predetermined threshold value, calculates the cosine of intrinsic mode functions and electro-ocular signal
Distance, the minimum intrinsic mode functions of COS distance are rejected from intrinsic mode functions set.
8. the equipment of eye electricity artefact is removed in sleep state analysis according to claim 3, it is characterised in that the processing
Device, it is additionally operable to before empirical mode decomposition is carried out to EEG signals, EEG signals frame is divided into several time windows, and it is right
The EEG signals of each time window carry out intrinsic mode functions decomposition；It is and after EEG signals are rebuild that each time window is salty
The EEG signals built merge, and obtain EEG signals frame.
9. the equipment of eye electricity artefact is removed in sleep state analysis according to claim 3, it is characterised in that the place
Device is managed, is additionally operable to when rebuilding EEG signals, according to putting in order for intrinsic mode functions, selects position in intrinsic mode functions set
Several forward intrinsic mode functions carry out reconstruction EEG signals.
10. the equipment of eye electricity artefact is removed in sleep state analysis according to claim 8, it is characterised in that described pre-
If threshold value is 0.5, the frame length is 30s, and the time window length is 5s or 10s.
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| CN201610840431.8A CN106236083B (en) | 2016-09-21 | 2016-09-21 | The equipment that eye electricity artefact is removed in sleep state analysis |
| PCT/CN2016/113143 WO2018053968A1 (en) | 2016-09-21 | 2016-12-29 | Device for removing electrooculograph artifact in sleep condition analysis |
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| CN106236083B (en) * | 2016-09-21 | 2018-02-16 | 广州视源电子科技股份有限公司 | The equipment that eye electricity artefact is removed in sleep state analysis |
| CN107510453B (en) * | 2017-10-12 | 2019-12-24 | 北京翼石科技有限公司 | Forehead area electroencephalogram analysis method |
| CN110558977A (en) * | 2019-09-09 | 2019-12-13 | 西北大学 | epileptic seizure electroencephalogram signal classification method based on machine learning fuzzy feature selection |
| CN112971778A (en) * | 2021-02-09 | 2021-06-18 | 北京师范大学 | Brain function imaging signal obtaining method and device and electronic equipment |
| CN113081002B (en) * | 2021-03-31 | 2023-03-31 | 灵犀医学科技(北京)有限公司 | Electroencephalogram signal artifact removing method and device and electronic equipment |
| CN113208614A (en) * | 2021-04-30 | 2021-08-06 | 南方科技大学 | Electroencephalogram noise reduction method and device and readable storage medium |
| CN114403896B (en) * | 2022-01-14 | 2023-08-25 | 南开大学 | Method for removing ocular artifacts in single-channel electroencephalogram signals |
| CN114886388B (en) * | 2022-07-12 | 2022-11-22 | 浙江普可医疗科技有限公司 | Evaluation method and device for quality of electroencephalogram signal in anesthesia depth monitoring process |
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| CN103720471A (en) * | 2013-12-24 | 2014-04-16 | 电子科技大学 | Factor analysis based ocular artifact removal method |
| CN104688220A (en) * | 2015-01-28 | 2015-06-10 | 西安交通大学 | Method for removing ocular artifacts in EEG signals |
| CN105342605A (en) * | 2015-12-09 | 2016-02-24 | 西安交通大学 | Method for removing myoelectricity artifacts from brain electrical signals |
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| WO2018053968A1 (en) | 2018-03-29 |
| CN106236083A (en) | 2016-12-21 |
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