using combination of μ,β and γ bands in classi.cation of eeg signals

نویسندگان

mina mirnaziri brain and intelligent systems research laboratory (bislab), department of electrical and computer engineering, shahidrajaee teacher training university, tehran, iran.

masoomeh rahimi brain and intelligent systems research laboratory (bislab), department of electrical and computer engineering, shahidrajaee teacher training university, tehran, iran.

sepidehsadat alavikakhaki department of computer science, school of mathematics, statistics and computer science, university of tehran, iran.

reza ebrahimpour brain and intelligent systems research laboratory (bislab), department of electrical and computer engineering, shahidrajaee teacher training university, tehran, iran.

چکیده

introduction: in most bci articles which aim to separate movement imaginations, µ and β frequency bands have been used. in this paper, the effect of presence and absence of γ band on performance improvement is discussed since movement imaginations affect γ frequency band as well. methods: in this study we used data set 2a from bci competition iv. in this data set, 9 healthy subjects have performed left hand, right hand, foot and tongue movement imaginations. time and frequency intervals are computed for each subject and then are classi.ed using common spatial pattern (csp) as a feature extractor. finally, data is classi.ed by lda1, rbf2 mlp3, svm4and knn 5 methods. in all experiments, accuracy rate of classi.cation is computed using 4 fold validation method. results: it is seen that most of the time, combination of μ,β and γ bands would have better performance than just using combination of μ and β bands or γ band alone. in general, the improvement rate of the average classi.cation accuracy is computed 2.91%. discussion: in this study, it is shown that using combination of µ, β and γ frequency bands provides more information than only using combination of µ and β in movement imagination separations.

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Using Combination of μ,β and γ Bands in Classi.cation of EEG Signals

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عنوان ژورنال:
basic and clinical neuroscience

جلد ۴، شماره ۱، صفحات ۷۶-۸۷

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