CN108245154A - The method that blink section in brain electricity or eye electricity is accurately determined using rejecting outliers - Google Patents
The method that blink section in brain electricity or eye electricity is accurately determined using rejecting outliers Download PDFInfo
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Abstract
The present invention relates to a kind of methods that blink section in brain electricity or eye electricity is accurately determined using rejecting outliers.The original signal of acquisition is pre-processed first, the power frequency 50Hz noise jammings in removal acquisition signal remove baseline drift and removal high-frequency noise；Then suitable threshold value is determined by the method for rejecting outliers to pretreated signal, the position of all local maximums and local maximum in preprocessed signal is found later, subtracted each other with adjacent local maximum, the absolute value of two neighboring local maximum difference is compared with the threshold value that rejecting outliers method determines again, the beginning and end of last accurate determining signal of blinking.The present invention can accurately determine the beginning and end of signal of blinking in brain electricity or electro-ocular signal, so as to which when removal blink interference, by the section zero setting, the loss that can cause original signal is small as far as possible.
Description
Technical field
The present invention relates to a kind of methods that blink section in brain electricity or eye electricity is accurately determined using rejecting outliers.
Background technology
Brain electricity (electroencephalogram, EEG) and electro-ocular signal (electroopticgraph, EOG) are human bodies
Bioelectrical signals can be used as control signal to be applied to some man-machine interactive systems, can be the life of dyskinesia patient in this way
It is convenient to provide.But unconscious blink is used as a kind of normal physiological reaction, amplitude is larger and can not avoid, signal of blinking meeting
As interference signal so that system generates maloperation, it is therefore desirable to remove the signal of blinking in brain electricity or eye electricity.It has sent out at present
In the literature research of table, the method for signal of blinking is mainly the following method in removal brain electricity or electro-ocular signal.(1) using only
Vertical constituent analysis (Independent ComponentCorrelationAlgorithm, ICA) method from original multi-channel EEG,
Signal of blinking is isolated in EOG signal and by this channel zero setting, signal is reconstructed to remove signal of blinking later.Or
The method combined using wavelet transform with blind source separating will be put after decomposition with the highest channel of signal of blinking related coefficient
Zero, finally signal is reconstructed to obtain signal of blinking.The above method is to decompose original signal, is found and signal of blinking phase
The maximum direct zero setting of channel of closing property, can cause the loss of signal that part is significant in original signal in this way.(2) original letter is used
The derivation number in sliding window is so that it is determined that the position of blink, but derivative numerical value is relatively rough as the differentiation of blink, and cunning
The size of window can also influence result.(3) original signal is decomposed on frequency domain using wavelet packet, it is true with reference to statistical theory
Determine threshold value, signal of blinking removed using threshold determination criterion and reconstruction strategy to the low frequency component of WAVELET PACKET DECOMPOSITION, but due to
Number of samples is limited, and the threshold value validity determined based on statistical information is poor, can not accurately determine blink region.
Brain electricity or electro-ocular signal are applied when medical diagnosis on disease, brain-computer interface and man-machine interface are when fields, the brain electricity of high quality
Or the measurement of eye electricity is important.In order to avoid the interference of signal of blinking, therefore the blink in brain electricity and electro-ocular signal is done
Removal is disturbed, but cannot be interfered during removal blink interference or lose significant brain electricity or electro-ocular signal, so
The accurate section for determining signal of blinking, the loss for reducing significant brain electricity or electro-ocular signal are important.
Invention content
Blink section in brain electricity or eye electricity is accurately determined using rejecting outliers the purpose of the present invention is to provide a kind of
Method, this method can accurately determine the beginning and end in signal of blinking in brain electricity or electro-ocular signal；And it can ensure original
The loss of beginning brain electricity or electro-ocular signal is small as far as possible；Follow-up study is carried out convenient for brain electricity or electro-ocular signal.
To achieve the above object, the technical scheme is that：It is a kind of that brain electricity or eye are accurately determined using rejecting outliers
The method in blink section, includes the following steps in electricity：
Step S1, the original signal of acquisition is pre-processed, the power frequency 50Hz noise jammings in removal acquisition signal are gone
Except baseline drift and removal high-frequency noise；
Step S2, rejecting outliers method threshold value is passed through to pretreated signal；
Step S3, the position of all local maximums and local maximum in preprocessed signal is found, with adjacent part
Maximum is subtracted each other, then the threshold value phase that the absolute value of two neighboring local maximum difference is determined with rejecting outliers method
Compare, the beginning and end of accurate determining signal of blinking.
In an embodiment of the present invention, in the step S2, rejecting outliers method uses Chauvenet Criterion
Standard, Peirce standards or adjustment block-scheme method.
In an embodiment of the present invention, the Chauvenet Criterion standards and Peirce standards include following
Four steps：
(1) average value and standard deviation of signal are calculated；
(2) it calculatesValue, wherein diRepresent absolute error, xiThe signal value of point is represented,Represent being averaged for x
Value；
(3) d is calculatediThe value of/σ x, wherein σ x are the standard deviations of x；
(4) the confidence interval table of Chauvenet Criterion standards or the R value tables of Peirce standards are consulted, determines threshold
Value dmax/σx。
In an embodiment of the present invention, the adjustment block-scheme method is realized as follows：
The intermediate value of signal is calculated first, and signal is divided into four parts according to sequence from small to large, and each part claims
For quartile, wherein, A1It is the median between minimum value and signal intermediate value, A2It is the intermediate value of signal, A3Signal intermediate value with
Median between maximum value, A4It is A3And A1Difference；MC is the degree of bias estimation of signal, passes through A1, A2, A3, A4It can be with MC
Determine the threshold value of signal：
If MC >=0,
If MC ＜ 0,
Exceptional value is labeled as if the value in signal is higher than the upper limit or less than lower limit.
In an embodiment of the present invention, the step S3 is implemented as follows：
Find local maximum M={ m all in preprocessed signal1,m2,…,mn,…,mNAnd local maximum
Position P={ p1,p2..., pn..., pN, two adjacent local maximums are subtracted each other：Δ m=mn+1-mn, wherein, 1≤n
≤ N, and n is integer, N is the sum of local maximum；
By the absolute value of difference | Δ m | the threshold value determined with rejecting outliers method compares, if Δ m is just and is more than
Threshold value then finds mnPosition mark be signal of blinking starting point；If Δ m is more than threshold value for negative and absolute value, m is foundn+1
Position mark be signal of blinking terminal.
Compared to the prior art, the invention has the advantages that：The present invention accurately determines brain using rejecting outliers
The method in blink interference section, has the following advantages in electricity or eye electricity：The present invention can be determined accurately in brain electricity or electro-ocular signal
The beginning and end of signal of blinking, so as to when removal blink interference, by the section zero setting, cause original signal
Loss is small as far as possible；Present invention is mainly applied to the removals for interference of blinking in brain electricity or electro-ocular signal；In brain electricity or eye telecommunications
Number acquisition and application process in, due to blink be used as a kind of normal physiological reaction, amplitude is larger and can not avoid, and can make
Control system based on brain electricity or eye electricity generates maloperation；The present invention can accurately determine signal of blinking in brain electricity or electro-ocular signal
Beginning and end, make original signal loss it is small as far as possible.
Description of the drawings
Fig. 1 is present invention blink section determination process flow chart.
Fig. 2 is CC standards, and PC standards adjust block-scheme method result figure.
Specific embodiment
Below in conjunction with the accompanying drawings, technical scheme of the present invention is specifically described.
A kind of method that blink section in brain electricity or eye electricity is accurately determined using rejecting outliers of the present invention, including as follows
Step：
Step S1, the original signal of acquisition is pre-processed, the power frequency 50Hz noise jammings in removal acquisition signal are gone
Except baseline drift and removal high-frequency noise；
Step S2, rejecting outliers method threshold value is passed through to pretreated signal；
Step S3, the position of all local maximums and local maximum in preprocessed signal is found, with adjacent part
Maximum is subtracted each other, then the threshold value phase that the absolute value of two neighboring local maximum difference is determined with rejecting outliers method
Compare, the beginning and end of accurate determining signal of blinking.
In the step S2, rejecting outliers method uses Chauvenet Criterion standards, Peirce standards or tune
Whole block-scheme method.
The Chauvenet Criterion standards and Peirce standards include following four step：
(1) average value and standard deviation of signal are calculated；
(2) it calculatesValue, wherein diRepresent absolute error, xiThe signal value of point is represented,Represent being averaged for x
Value；
(3) d is calculatediThe value of/σ x, wherein σ x are the standard deviations of x；
(4) the confidence interval table of Chauvenet Criterion standards or the R value tables of Peirce standards are consulted, determines threshold
Value dmax/σx。
The adjustment block-scheme method is realized as follows：
The intermediate value of signal is calculated first, and signal is divided into four parts according to sequence from small to large, and each part claims
For quartile, wherein, A1It is the median between minimum value and signal intermediate value, A2It is the intermediate value of signal, A3Signal intermediate value with
Median between maximum value, A4It is A3And A1Difference；MC is the degree of bias estimation of signal, passes through A1, A2, A3, A4It can be with MC
Determine the threshold value of signal：
If MC >=0,
If MC ＜ 0,
Exceptional value is labeled as if the value in signal is higher than the upper limit or less than lower limit.
The step S3 is implemented as follows：
Find local maximum M={ m all in preprocessed signal1,m2,…,mn,…,mNAnd local maximum
Position P={ p1,p2..., pn..., pN, two adjacent local maximums are subtracted each other：Δ m=mn+1-mn, wherein, 1≤n
≤ N, and n is integer, N is the sum of local maximum；
By the absolute value of difference | Δ m | the threshold value determined with rejecting outliers method compares, if Δ m is just and is more than
Threshold value then finds mnPosition mark be signal of blinking starting point；If Δ m is more than threshold value for negative and absolute value, m is foundn+1
Position mark be signal of blinking terminal.
It is specific embodiments of the present invention below.
Brain electricity and electro-ocular signal are all the sophisticated signals of low frequency, can be by more serious power frequency among hardware gatherer process
50Hz is interfered, therefore Signal Pretreatment part needs to carry out power frequency 50Hz denoisings, further needs exist for removal baseline drift and one
A little high-frequency noises.
Since signal of blinking is an apparent spiking, and other signals in brain electricity and electro-ocular signal are all opposite
Be not in smoothly apparent spike, and rejecting outliers method can find the value deviated considerably from data, blink in brain
It is exactly a section for deviating considerably from original signal in electricity or electro-ocular signal.Therefore, signal of blinking can pass through rejecting outliers
Method determine accurate section.The method that blink interference section in brain electricity or eye electricity is accurately determined using rejecting outliers, it is first
Suitable threshold value first is determined by the method for rejecting outliers to pretreated signal, then finds in preprocessed signal and owns
Local maximum M={ m1,m2,…,mn,…,mN(1≤n≤N, and n is integer, N is the sum of local maximum) and
Position P={ the p of local maximum1,p2..., pn..., pN, two adjacent local maximums are subtracted each other into (Δ m=
mn+1-mn), the threshold value that the absolute value of difference (| Δ m |) is determined with rejecting outliers method is compared, if Δ m is just and greatly
In threshold value, then m is foundnPosition mark be signal of blinking starting point；If Δ m is more than threshold value for negative and absolute value, find
mn+1Position mark be signal of blinking terminal.These steps are applied to remaining Δ m values, and by the part for the condition that meets
The position mark of maximum point is beginning or end.All blinks in continuous brain electricity or electro-ocular signal can be accurately found in this way
The beginning and end of signal spacing.Flow chart is as shown in Figure 1：
Rejecting outliers method can use Chauvenet Criterion standards (CC), Peirce (PC) standards and tune
Whole block-scheme method (Adjustedbox plot, ADJBP).The major calculations process of CC standards and PC standards is divided into following four step：(1)
Calculate the average value and standard deviation of signal.(2) it calculatesValue.(wherein diRepresent absolute error, xiRepresent the letter of point
Number value,Represent the average value of x).(3) d is calculatediThe value of/σ x.(σ x are the standard deviations of x).(4) confidence interval of CC standards is consulted
The R value tables of table or PC standards, determine suitable threshold value (dmax/σx)。
It is a kind of operation method based on median to adjust block-scheme method.First calculate signal intermediate value, and according to from it is small to
Signal is divided into four parts by big sequence, and each part is known as quartile.A1Be between minimum value and signal intermediate value in
Digit, A2It is the intermediate value of signal, A3It is the median between signal intermediate value and maximum value, A4It is A3And A1Difference.MC is signal
The degree of bias estimation, pass through A1, A2, A3, A4The threshold value of signal can be determined with MC：
If MC >=0,
If MC ＜ 0,
Exceptional value is labeled as if the value in signal is higher than the upper limit or less than lower limit.
The vertical eye electricity data of an example for testing acquisition are pre-processed, and CC standards, PC standards and adjustment is respectively adopted
Block-scheme method determines the threshold value of signal of blinking, and beginning and end result such as Fig. 2 institutes of all signal of blinking are determined using Fig. 1 flow charts
Show.0-1.6s eyes remain static in Fig. 2, and 1.6s or so is primary unconscious blink, and 2-6s eyes remain static,
6-7s horizontal saccades, 9s or so are unconscious blinks, and 9-10s is stationary state.It it can be found that can using rejecting outliers method
Accurately to determine blink interference section in brain electricity or eye electricity.
The above are preferred embodiments of the present invention, all any changes made according to the technical solution of the present invention, and generated function is made
During with range without departing from technical solution of the present invention, all belong to the scope of protection of the present invention.
Claims (5)
- A kind of 1. method that blink section in brain electricity or eye electricity is accurately determined using rejecting outliers, which is characterized in that including such as Lower step：Step S1, the original signal of acquisition is pre-processed, the power frequency 50Hz noise jammings in removal acquisition signal remove base Line drifts about and removal high-frequency noise；Step S2, rejecting outliers method threshold value is passed through to pretreated signal；Step S3, the position of all local maximums and local maximum in preprocessed signal is found, with adjacent local maximum Value is subtracted each other, then by the absolute value of two neighboring local maximum difference compared with the threshold value that rejecting outliers method determines Compared with the beginning and end of accurate determining signal of blinking.
- 2. the method according to claim 1 that blink section in brain electricity or eye electricity is accurately determined using rejecting outliers, Be characterized in that, in the step S2, rejecting outliers method using Chauvenet Criterion standards, Peirce standards or Adjust block-scheme method.
- 3. the method according to claim 2 that blink section in brain electricity or eye electricity is accurately determined using rejecting outliers, It is characterized in that, the Chauvenet Criterion standards and Peirce standards include following four step：(1) average value and standard deviation of signal are calculated；(2) it calculatesValue, wherein diRepresent absolute error, xiThe signal value of point is represented,Represent the average value of x；(3) d is calculatediThe value of/σ x, wherein σ x are the standard deviations of x；(4) the confidence interval table of Chauvenet Criterion standards or the R value tables of Peirce standards, threshold value are consulted dmax/σx。
- 4. the method according to claim 2 that blink section in brain electricity or eye electricity is accurately determined using rejecting outliers, It is characterized in that, the adjustment block-scheme method is realized as follows：The intermediate value of signal is calculated first, and signal is divided into four parts according to sequence from small to large, and each part is known as four Quantile, wherein, A1It is the median between minimum value and signal intermediate value, A2It is the intermediate value of signal, A3It is signal intermediate value and maximum Median between value, A4It is A3And A1Difference；MC is the degree of bias estimation of signal, passes through A1, A2, A3, A4It can be determined with MC The threshold value of signal：If MC >=0,If MC ＜ 0,Exceptional value is labeled as if the value in signal is higher than the upper limit or less than lower limit.
- 5. the method according to claim 1 that blink section in brain electricity or eye electricity is accurately determined using rejecting outliers, It is characterized in that, the step S3 is implemented as follows：Find local maximum M={ m all in preprocessed signal1,m2,…,mn,…,mNAnd local maximum position P ={ p1,p2..., pn..., pN, two adjacent local maximums are subtracted each other：Δ m=mn+1-mn, wherein, 1≤n≤N, And n is integer, N is the sum of local maximum；By the absolute value of difference | Δ m | the threshold value determined with rejecting outliers method compares, if Δ m is just and more than threshold Value, then find mnPosition mark be signal of blinking starting point；If Δ m is more than threshold value for negative and absolute value, m is foundn+1's Position mark is the terminal of signal of blinking.
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