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ASME Press Select Proceedings
International Conference on Computer and Automation Engineering, 4th (ICCAE 2012)
ISBN:
9780791859940
No. of Pages:
460
Publisher:
ASME Press
Publication date:
2012
eBook Chapter
12 A Review of Most Current Feature Extraction Methods for EEG Signal Processing
By
Afshan Kordi
,
Afshan Kordi
University of Malaya University of Malaya
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Maysam Oladazimi
,
Maysam Oladazimi
University of MalayaUniversity of Malaya
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Fatemeh Molaei Vaneghi
Fatemeh Molaei Vaneghi
University of Malaya
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Page Count:
7
-
Published:2012
Citation
Safari, MJ, Kordi, A, Oladazimi, M, Shiman, F, & Vaneghi, FM. "A Review of Most Current Feature Extraction Methods for EEG Signal Processing." International Conference on Computer and Automation Engineering, 4th (ICCAE 2012). Ed. Zhou, J. ASME Press, 2012.
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For investigation of the brain signal, using the appropriate method for feature extraction is essential. During these years different methods have been offered for processing the EEG signals such as frequency domain, time domain and time-frequency domain. The methods used in this study are Wavelet transforms, CSP, Fourier transform, Eigenvector and EMD. The main purpose of this research is to investigate the advantages and disadvantages of these methods and provide extensive comparison between them. This study shows that between these methods EMD is the best method for feature extraction of the EEG signal because it is more adaptive to non-stationary signal.
Abstract
Keywords
1 Introduction
2 Literature Review
3. Comparison of Performance between The Methods
4. Summaries
5. References
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