CN104545900B - Event related potential analyzing method based on paired sample T test - Google Patents
Event related potential analyzing method based on paired sample T test Download PDFInfo
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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]
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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
Abstract
The invention relates to an event related potential analyzing method based on a paired sample T test. The method includes: designing an electroencephalogram induction experiment containing two kinds of stimulations, using electroencephalogram collecting equipment to record multiple associated scalp electroencephalogram signals, and performing preliminary preprocessing; extracting ERP signals under the two kinds of stimulations; performing paired sample T test on the ERP signals under the two kinds of stimulations to determine a time period with significant difference; calculating the difference area of the ERP signals under the two kinds of stimulations in the time period with significant difference, and drawing a brain electrical activity mapping to determine the difference brain areas. The method has the advantages that the significant difference time period of the ERP under the two kinds of stimulations, the brain electrical activity mapping based on the ERP waveform difference area is drawn, and the different brain area distribution in the significant difference time period is obtained; the method is significant to ERP researches which are poor in signal to noise ratio and unobvious in single component, and a new idea is provided to the stripping of the ERP signals and spontaneous electroencephalogram.
Description
Technical field
The present invention relates to a kind of event related potential analysis method.More particularly to one kind comprise multiple environmental stimulis and
Single stimulates the less event related potential analysis method based on paired sample T test of number of repetition.
Background technology
EEG signals are the spontaneity of brain cell group, the rhythmicity electrical activities recorded by electrode, according to whether containing
There are outside stimuluss, spontaneous brain electricity (Electroencephalo-graph, EEG) and event related potential (Event- can be divided into
Related Potentials, ERP) two kinds.Event related potential is that people carry out perception processing or hold to particular stimulation event
A kind of EEG signals inducing out during certain Cognitive task of row, being usually used in reflection stimulates the change feelings of brain potential before and after generation
Condition is related to the distribution of brain attentional resources, object memory, thinking decision-making, Cognitive Processing etc..Because ERP signal has Millisecond
Temporal resolution, good Noninvasive, and collecting device operation is relatively simple, and this signal is in brain function research and disease of brain
Examining aspect in advance has a lot of application.
For many years, a significant difficulty of ERP research is exactly the stripping with spontaneous brain electricity.Research display, brain no when no
Carve not in operating, even if in the case of not giving any environmental stimuli, central nervous system also has rhythmicity, spontaneity is put
Electrical phenomena, and the ERP signal amplitude of external event induction is much smaller than spontaneous brain electricity, and be generally submerged in spontaneous brain electricity.By
In spontaneous brain electricity, there is very big individual difference and randomness, therefore can not form the spontaneous brain electricity template of a fixation, make
Obtain ERP signal to be easy to peel off.In real process, generally improved by the way of applying outside stimuluss being repeated several times, is averaging again
The amplitude of ERP signal and purity, and then it is peeled off with spontaneous brain electricity.In order to obtain noise reasonable ERP signal, generally need
Want the repetition environmental stimuli of tens even hundreds of times, on the one hand, be repeated several times and stimulate the fatigue that will necessarily cause sensorium, and
It is difficult to keep on all four repeatability；On the other hand, the preparation of a large amount of stimulus materials is not easy to, and contains especially for specific
The more complicated stimulations such as the picture of justice, sound.
In addition, conventional ERP analysis focuses mostly in the analysis of certain or certain several ERP compositions (such as P1, N1, P3 etc.),
But the ERP signal less for repetitive stimulation number of times, signal to noise ratio is not good enough, the ERP composition with clear and definite physical significance is often difficult
To identify, also result in the difficulty of ERP feature extraction under different stimulated.
Event related potential analysis method based on paired sample T test is from the angle analysis ERP signal of significant difference, energy
Enough extract the difference characteristic of significance, avoid the difficulty of single ERP constituents extraction, be the new think of of ERP relative analyses
Road.Though further, since the spontaneous brain electricity under two kinds of different environmental stimulis is not quite identical, there is no significant diversity yet,
If the ERP signal under two kinds are stimulated carries out paired sample T test, the significant difference period obtaining must be two true ERP signals
There is the period of significant difference, it is possible to achieve the indirect stripping of ERP signal and spontaneous brain electricity.
Content of the invention
The technical problem to be solved is to provide one kind and can be used for the poor and single composition of noise and fail to understand
The event related potential analysis method based on paired sample T test of aobvious ERP research.
The technical solution adopted in the present invention is：A kind of event related potential analysis method based on paired sample T test,
Comprise the steps：
1) the brain electricity induction experiment containing two kinds of stimulations for the design, and record multiple scalp brains leading using brain wave acquisition equipment
The signal of telecommunication, carries out preliminary pretreatment；
2) extract the ERP signal under two kinds of stimulations；
3) the ERP signal under two kinds being stimulated carries out paired sample T test, determines the period with significant difference；
4) difference area within the significant difference period for the ERP signal under two kinds of calculating stimulates, and draw brain mapping, really
Determine difference brain area.
Step 1) described in preliminary pretreatment, be for remove scalp EEG signals recording process in low frequency wonder, height
Original EEG signals are carried out becoming average reference, 0.5-10Hz bandpass filtering by frequency interference and the interference of eye galvanic electricity physiological signal
And independent component analysis go the pretreatment operation of eye electricity.
Step 2) described in extraction two or more stimulate under ERP signal, including following process：
(1) the whole paragraph header skin EEG signals after preliminary pretreatment are split, obtain the tranquillization of a length of 4s when 20
Brain electricity fragment and when 20 a length of 1s evoked brain potential fragment, wherein, two kinds of each 10 of corresponding evoked brain potential fragments of stimulation；
(2) choose the 200ms stimulating before presenting, i.e. brain electricity on the basis of the rear 200ms of quiescent stage, and calculating benchmark brain electricity
Average amplitude, by each evoked brain potential fragment deduct benchmark brain electricity average amplitude, realize remove base line operations；
(3) respectively to going two kinds of evoked brain potential fragments after baseline to be overlapped averagely, obtaining each of every subjectss
The ERP signal leading under stimulating at two kinds, is expressed as X={ XijkAnd Y={ Yijk, wherein, i=1,2 ... ..., N1, N1
=15, N1It is subjectss' number；J=1,2 ..., N2, N2=32, N2It is the number that leads, k=1,2 ... ..., N3, N3=1024,
N3It is data points.
Step 3) described in two kinds are stimulated under ERP signal carry out paired sample T test, be that each is led
Each data point corresponding ERP sequence carries out paired sample T test, for j-th k-th data point of leading, initially sets up one
Individual new variables Z={ Zijk, Zijk=Xijk-Yijk, i=1,2 ... ..., N1, calculate the average of new variablesAnd side
DifferenceConstruction statisticInspection tjkWhether obeying degree of freedom is N1- 1 T distribution, and
Calculate corresponding significance degree PjkIf, Pjk<0.05, then sequenceAnd sequence
There is significant difference, that is, k-th data point of leading for j-th under two kinds of stimulations has significant difference, otherwise, two kinds of stimulations
Under k-th data point of leading for j-th there is no significant difference.
Step 3) described in determination there is period of significant difference, be to have determined that leading for j-th under two kinds stimulate
K-th data point is carried out on the basis of whether having significant difference, comprises following process：
(1) for the N leading for j-th3, if there is the consecutive numbers strong point k of more than 10 so that sequence in individual data pointAnd sequenceThere is significant difference, then these continuous data points k pair
The period answered is exactly the period that the ERP signal leading for j-th under two kinds of stimulations has significant difference, if there not being more than 10
Consecutive numbers strong point k so that sequenceAnd sequenceThere is significant difference, then
The ERP signal leading for j-th under stimulating at two kinds does not have the significant difference period；
(2) it is distributed according to all significant difference periods led, select more than one relatively large period so that as far as possible
Comprise the significant difference period that majority leads, selected significant difference period corresponding data point set is labeled asWherein,
R=1,2 ..., m, m are hop count during selected significant difference, and optional scope is { 1,2 ..., 100 }, nrIt is each significance difference respectively
Data points corresponding to different time section, value is all higher than 10.
Step 4) described in two kinds of calculating stimulate under difference area within the significant difference period for the ERP signal, be right
Difference area within the selected significant difference period for the ERP signal that each of every subjectss is led under two kinds of stimulations of all calculating,
Wherein, in the significant difference periodThe difference area of the ERP signal under interior two kinds of stimulations is
And the data of all subjectss is overlapped averagely, obtain j-th leading under two kinds of stimulations within the selected significant difference period
ERP signal difference area
Step 4) described in drafting brain mapping, determine difference brain area, be for each significant difference period, equal root
Draw brain mapping according to the ERP signal difference area under all two kinds of stimulations led, and then analyze two kinds of induced ERP of stimulation
The spatial distribution state of signal difference, obtains the primary activation brain area distribution within the significant difference period.
A kind of event related potential analysis method based on paired sample T test of the present invention, goes out from paired sample T test
Send out the ERP significant difference period it is determined that under two kinds of stimulations, and depict the brain mapping based on ERP different wave shape area, enter
And obtain the difference brain area distribution within the significant difference period.Present invention is generally directed to comprising multiple environmental stimulis and single thorn
Sharp number of repetition less evoked brain potential research, for noise poor and single composition and unconspicuous ERP research have weight
Want meaning, and provide new thinking for the stripping of ERP signal and spontaneous brain electricity.
Brief description
Fig. 1 is a kind of flow chart of the event related potential analysis method based on paired sample T test.
Specific embodiment
With reference to a kind of event related potential analysis based on paired sample T test to the present invention of embodiment and accompanying drawing
Method is described in detail.
The present invention a kind of event related potential based on paired sample T test (Event-related Potentials,
ERP) analysis method, first with the many top guides skin EEG signals under the two kinds of stimulations of brain wave acquisition equipment record, and carries out preliminary
Pretreatment；Secondly extract the ERP signal under two kinds of stimulations；Again respectively to each ERP leading under two kinds of environmental stimulis
Signal carries out paired sample T test, obtains the significant difference period under each ERP signal that leads stimulates at two kinds；Finally by
Calculate the area that in the significant difference period, two ERP signals surround, can obtain two kinds stimulate under full brain is all leads in significance difference
Difference area distributions in different time section, and then two kinds of spaces stimulating induced ERP signal difference are shown by brain mapping
Distribution.
As shown in figure 1, a kind of event related potential analysis method based on paired sample T test of the present invention, concrete bag
Include following steps：
1) the brain electricity induction experiment containing two kinds of stimulations for the design, and record multiple scalp brains leading using brain wave acquisition equipment
The signal of telecommunication, carries out preliminary pretreatment；
The brain electricity induction experiment containing two kinds of stimulations for the described design, is the brain electricity that two kinds of visions of design, audition or body-sensing stimulate
Induction experiment, so that two kinds of pictures stimulate as a example, from international Emotional Picture storehouse (International Affective Picture
System, IAPS) in choose positive scene situation picture and passive each 10 of scene situation picture, picture is occurred using random
Mode is presented, and every pictures presentative time is 1s, and picture has the quiescent stage of 4s before presenting, be used for calming down upper pictures
Caused brain Electrical change.
Described records multiple scalp EEG signals led using brain wave acquisition equipment, is to adopt Biosemi
The tested 32 top guide skin EEG signals in experimentation of ActiveTwo eeg collection system record 15, sample rate is
1024Hz, tracer signal total duration is 100s.
Described preliminary pretreatment, is for removing the low frequency wonder in scalp EEG signals recording process, High-frequency Interference
And eye such as moves at the interference of other electricity physiological signals, original EEG signals are carried out become average reference, 0.5-10Hz bandpass filtering
And independent component analysis go the pretreatment operation of eye electricity etc..
2) extract the ERP signal under two kinds of stimulations；
ERP signal under the two or more stimulation of described extraction, including following process：
(1) the whole paragraph header skin EEG signals after preliminary pretreatment are split, obtain the tranquillization of a length of 4s when 20
Brain electricity fragment and when 20 a length of 1s evoked brain potential fragment, wherein, two kinds of each 10 of corresponding evoked brain potential fragments of stimulation；
(2) choose the 200ms stimulating before presenting, i.e. brain electricity on the basis of the rear 200ms of quiescent stage, and calculating benchmark brain electricity
Average amplitude, by each evoked brain potential fragment deduct benchmark brain electricity average amplitude, realize remove base line operations；
(3) respectively to going two kinds of evoked brain potential fragments after baseline to be overlapped averagely, obtaining each of every subjectss
The ERP signal leading under stimulating at two kinds, is expressed as X={ XijkAnd Y={ Yijk, wherein, i=1,2 ... ..., N1, N1
=15, N1It is subjectss' number；J=1,2 ..., N2, N2=32, N2It is the number that leads, k=1,2 ... ..., N3, N3=1024,
N3It is data points.
By the foundation that the scalp EEG signals superposed average being repeated several times under stimulating obtains ERP signal it is：Spontaneous brain electricity is
One species stochastic signal, multiple stacking can make spontaneous brain electricity amplitude reduce；And ERP signal has characteristic when significantly locking, repeatedly
Superposition can make ERP signal amplitude increase.
3) the ERP signal under two kinds being stimulated carries out paired sample T test, determines the period with significant difference；
It is averaging in the ERP signal obtaining by the scalp EEG signals under 10 repetitive stimulations, the amplitude of spontaneous brain electricity is still
So very big, therefore, each ERP composition does not project it is impossible to carry out ERP composition amplitude and preclinical extraction, also cannot be not
Contrasted between stimulating with species.Although the spontaneous brain electricity under being stimulated due to variety classes is not completely the same, also do not have
There is significant diversity, therefore, T inspection is carried out by the ERP signal under variety classes is stimulated, the significant difference period obtaining
Must have the period of significant difference for two true ERP signals, furthermore achieved that the stripping of ERP signal and spontaneous brain electricity.
Described carries out paired sample T test to the ERP signal under two kinds of stimulations, is each data to each in leading
The corresponding ERP sequence of point carries out paired sample T test, due to being with a collection of tested two kinds of thorns accepting in same experiment
Swash, so selecting paired sample T test, significance level is set to 0.05.For j-th k-th data point of leading, build first
A vertical new variables Z={ Zijk, Zijk=Xijk-Yijk, i=1,2 ... ..., N1, calculate the average of new variables
And varianceConstruction statisticInspection tjkWhether obeying degree of freedom is N1-1
T distribution, and calculate corresponding significance degree PjkIf, Pjk<0.05, then sequenceAnd sequenceThere is significant difference, that is, two kinds stimulate under k-th data point of leading for j-th to have significance poor
Different, otherwise, k-th data point of leading for j-th under two kinds of stimulations does not have significant difference.
Described determination has the period of significant difference, is k-th data of leading for j-th under having determined that two kinds of stimulations
Point is carried out on the basis of whether having significant difference, comprises following process：
(1) for the N leading for j-th3, if there is the consecutive numbers strong point k of more than 10 so that sequence in individual data pointAnd sequenceThere is significant difference, then these continuous data points k pair
The period answered is exactly the period that the ERP signal leading for j-th under two kinds of stimulations has significant difference, if there not being more than 10
Consecutive numbers strong point k so that sequenceAnd sequenceThere is significant difference, then
The ERP signal leading for j-th under stimulating at two kinds does not have the significant difference period；
(2) N respectively each being led3Individual data point carries out paired sample T test, and each leads and may contain multiple showing
Write the difference period it is also possible to without there were significant differences period.According to all significant difference periods led be distributed, select one with
The upper relatively large period, the selected significant difference period was corresponding so that comprising the significant difference period that majority leads as far as possible
Data point set is labeled asWherein, r=1,2 ..., m, m are hop count during selected significant difference, optional scope be 1,
2 ..., 100 }, nrIt is each data points corresponding to the significant difference period respectively, value is all higher than 10.
4) difference area within the significant difference period for the ERP signal under two kinds of calculating stimulates, and draw brain mapping, really
Determine difference brain area.
Difference area within the significant difference period for the ERP signal under two kinds of stimulations of described calculating, is tested to every
Difference area within the selected significant difference period for the ERP signal that each of person is led under two kinds of stimulations of all calculating, wherein, aobvious
Write the difference periodThe difference area of the ERP signal under interior two kinds of stimulations isAnd it is right
The data of all subjectss is overlapped the ERP averagely, obtaining j-th leading under two kinds of stimulations within the selected significant difference period
Signal difference area
Described drafting brain mapping, determine difference brain area, be for each significant difference period, lead all in accordance with all
ERP signal difference area under two kinds of stimulations of connection draws brain mapping, and then analyzes two kinds of induced ERP signal differences of stimulation
Spatial distribution state, obtain within the significant difference period primary activation brain area distribution.
Brain electrical activity mapping be a kind of concentrate expression brain electrophysiology information graph technology, generally by multiple lead single
Feature different colours map its header planes color graphics obtained from value size (or gray scale difference image), can compare intuitively
The wave amplitude of reaction cerebral nerve activity and distribution.
Although being described to the preferred embodiments of the present invention above in conjunction with accompanying drawing, the invention is not limited in
The specific embodiment stated, above-mentioned specific embodiment is only schematically, is not restricted.
Those of ordinary skill in the art, under the enlightenment of the present invention, is being protected without departing from present inventive concept and claim
Under the ambit of shield, a lot of forms can also be made, these belong within protection scope of the present invention.
Claims (3)
1. a kind of event related potential analysis method based on paired sample T test is it is characterised in that comprise the steps：
1) the brain electricity induction experiment containing two kinds of stimulations for the design, and record multiple scalp brain telecommunications led using brain wave acquisition equipment
Number, carry out preliminary pretreatment；
2) extract the ERP signal under two kinds of stimulations；ERP signal under the two or more stimulation of described extraction, including following process：
(1) the whole paragraph header skin EEG signals after preliminary pretreatment are split, obtain the resting electroencephalogramidentification of a length of 4s when 20
Fragment and when 20 a length of 1s evoked brain potential fragment, wherein, two kinds of each 10 of corresponding evoked brain potential fragments of stimulation；
(2) choose the 200ms stimulating before presenting, i.e. electric the putting down of brain electricity on the basis of the rear 200ms of quiescent stage, and calculating benchmark brain
All amplitudes, each evoked brain potential fragment are deducted benchmark brain electricity average amplitude, realize removing base line operations；
(3) respectively to going two kinds of evoked brain potential fragments after baseline to be overlapped averagely, each obtaining every subjectss is led
ERP signal under stimulating at two kinds, is expressed as X={ XijkAnd Y={ Yijk, wherein, i=1,2 ... ..., N1, N1=15,
N1It is subjectss' number；J=1,2 ..., N2, N2=32, N2It is the number that leads, k=1,2 ... ..., N3, N3=1024, N3It is
Data is counted；
3) the ERP signal under two kinds being stimulated carries out paired sample T test, determines the period with significant difference；
Described carries out paired sample T test to the ERP signal under two kinds of stimulations, is each data point pair to each in leading
The ERP sequence answered carries out paired sample T test, for j-th k-th data point of leading, initially sets up a new variables Z=
{Zijk, Zijk=Xijk-Yijk, i=1,2 ... ..., N1, calculate the average of new variablesAnd varianceConstruction statisticInspection tjkWhether obeying degree of freedom is N1- 1 T distribution, and
Calculate corresponding significance degree PjkIf, Pjk<0.05, then sequenceAnd sequence
There is significant difference, that is, k-th data point of leading for j-th under two kinds of stimulations has significant difference, otherwise, two kinds of stimulations
Under k-th data point of leading for j-th there is no significant difference；
Described determination has the period of significant difference, is that k-th data point of leading for j-th under having determined that two kinds of stimulations is
No there is significant difference on the basis of carry out, comprise following process：
(1) for the N leading for j-th3, if there is the consecutive numbers strong point k of more than 10 so that sequence in individual data pointAnd sequenceThere is significant difference, then these continuous data points k correspond to
Period be exactly that the ERP signal under stimulating at two kinds that leads for j-th has period of significant difference, if there not being more than 10
Consecutive numbers strong point k is so that sequenceAnd sequenceThere is significant difference, then jth
The individual ERP signal under stimulating at two kinds that leads does not have the significant difference period；
(2) being distributed according to all significant difference periods led, selecting more than one relatively large period so that comprising as far as possible
The significant difference period that majority leads, selected significant difference period corresponding data point set is labeled asWherein, r=1,
2 ..., m, m are hop count during selected significant difference, and optional scope is { 1,2 ..., 100 }, nrWhen being each significant difference respectively
Data points corresponding to section, value is all higher than 10；
4) difference area within the significant difference period for the ERP signal under two kinds of calculating stimulates, and draw brain mapping, it is poor to determine
Different brain area；
Difference area within the significant difference period for the ERP signal under two kinds of stimulations of described calculating, is to every subjectss
Each the ERP signal all calculating under two kinds of stimulations difference area within the selected significant difference period that leads, wherein, in significance difference
Different time sectionThe difference area of the ERP signal under interior two kinds of stimulations isAnd to all
The data of subjectss is overlapped the ERP signal averagely, obtaining j-th leading under two kinds of stimulations within the selected significant difference period
Difference area
2. a kind of event related potential analysis method based on paired sample T test according to claim 1, its feature exists
In step 1) described in preliminary pretreatment, be for remove scalp EEG signals recording process in low frequency wonder, High-frequency Interference
And the interference of eye galvanic electricity physiological signal, original EEG signals are carried out become with average reference, 0.5-10Hz bandpass filtering and solely
The pretreatment operation of eye electricity is gone in vertical component analyses.
3. a kind of event related potential analysis method based on paired sample T test according to claim 1, its feature exists
In step 4) described in drafting brain mapping, determine difference brain area, be for each significant difference period, all in accordance with institute
ERP signal difference area under having two kinds leading to stimulate draws brain mapping, and then analyzes two kinds of induced ERP signals of stimulation
The spatial distribution state of difference, obtains the primary activation brain area distribution within the significant difference period.
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| CN105653039B (en) * | 2016-01-20 | 2018-12-18 | 同济大学 | A kind of hand motion automatic straightening recognition methods based on EEG signals detection |
| CN108784692A (en) * | 2018-05-11 | 2018-11-13 | 上海大学 | A kind of Feeling control training system and method based on individual brain electricity difference |
| CN110327043B (en) * | 2019-08-05 | 2022-04-01 | 哈尔滨工业大学 | Event-related potential waveform map solving method based on sparse modeling |
| CN111008610B (en) * | 2019-12-16 | 2024-03-22 | 哈尔滨工业大学 | Information-related brain potential evoked experiment method |
| CN111096744A (en) * | 2020-01-21 | 2020-05-05 | 苏州小蓝医疗科技有限公司 | Novel electroencephalogram signal acquisition implementation device and method |
| CN111281382B (en) * | 2020-03-04 | 2023-08-18 | 徐州市健康研究院有限公司 | Feature extraction and classification method based on electroencephalogram signals |
| CN113520310A (en) * | 2021-03-15 | 2021-10-22 | 天津大学 | Electroencephalogram ERP-based touch information processing method |
| CN113419626B (en) * | 2021-06-17 | 2023-03-28 | 深圳大学 | Method and device for analyzing steady-state cognitive response based on sound stimulation sequence |
| CN114246594B (en) * | 2021-12-17 | 2024-04-09 | 天津大学 | Electroencephalogram signal processing method, background electroencephalogram prediction model training method and device |
| CN114081512A (en) * | 2021-12-20 | 2022-02-25 | 天津大学 | Method for evaluating influence degree of transcranial direct current stimulation on brain auditory processing capacity |
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