NDLI: Signal processing for brain-computer interface: enhance feature extraction and classification

Content Provider	IEEE Xplore Digital Library
Author	Haihong Zhang Cuntai Guan Yuanqing Li
Copyright Year	2006
Description	Author affiliation: Neural Signal Process., Lab Inst. for Infocomm Res., Singapore (Haihong Zhang; Cuntai Guan; Yuanqing Li)
Abstract	In this paper we present a new scheme for brain signal processing and classification for electroencephalogram based brain-computer interfaces, by emphasizing the extraction of space-time-frequency feature as well as the combination of classifiers. In particular, we use wavelet packets as a time-frequency analysis tool and employ sparse component analysis to recover source components in the brain signals. We subsequently apply multi-class common spatial pattern filters to the signals and thus obtain important space-time-frequency features for discrimination. Furthermore, a Bayesian method is developed to boost the system, by combining multiple support vector machines in a probabilistic way. We have tested the proposed scheme on real multi-class motor imagery signals, and its efficacy has been demonstrated
Sponsorship	The Inst. of Electr. and Electron. Eng., Inc. Circuits and Syst. Soc. (IEEE CASS)
Starting Page	4
Ending Page	1618
File Size	1540608
Page Count	1615
File Format	PDF
ISBN	0780393899
DOI	10.1109/ISCAS.2006.1692910
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-05-21
Publisher Place	Greece
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Signal processing Brain computer interfaces Feature extraction Wavelet analysis Wavelet packets Time frequency analysis Signal analysis Filters Bayesian methods Support vector machines
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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