NDLI: Wavelet analysis of EEG signals during motor imagery

Content Provider	IEEE Xplore Digital Library
Author	Yamaguchi, T. Fujio, M. Inoue, K. Pfurtscheller, G.
Copyright Year	2008
Description	Author affiliation: Kyushu Inst. of Technol., Iizuka (Yamaguchi, T.; Fujio, M.; Inoue, K.)
Abstract	ERS and ERD (event-related synchronization and desynchronization) are observed in EEG (electroencephalogram) signals around such events as sensitive stimulus, motions, cognitive actions etc. Usually, ERS/ERD features of EEG are extracted as variances of band-passed signals of several trials. To make use of these features to recognize inputs for BCI (brain-computer interface), we applied discrete wavelet analysis to extraction of ERS/ERD features from a small number of EEG signals during motor imagery. We employed Daubechies, convolution and spline biorthogonal mothers for linear wavelet analysis, also Haar type structural function for morphological wavelet analysis. Then our extraction method was estimated by the pattern recognition based on AR model.
Starting Page	454
Ending Page	459
File Size	533893
Page Count	6
File Format	PDF
ISBN	9781424422388
DOI	10.1109/ICWAPR.2008.4635822
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-08-30
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	EEG ERS Wavelet analysis BCI Electroencephalography Motor imagery Pattern recognition Mathematical morphology Multiresolution analysis ERD Feature extraction Brain modeling Band pass filters Intertrial variance
Content Type	Text
Resource Type	Article

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