DocumentCode :
2254050
Title :
EEG feature extraction using parametric and non-parametric models
Author :
Shiman, F. ; Safavi, S.H. ; Vaneghi, F.M. ; Oladazimi, M. ; Safari, M.J. ; Ibrahim, F.
Author_Institution :
Dept. of Biomed. Eng., Univ. of Malaya, Kuala Lumpur, Malaysia
fYear :
2012
fDate :
5-7 Jan. 2012
Firstpage :
66
Lastpage :
70
Abstract :
We have conducted extensive review on parametric and nonparametric methods for EEG feature extraction and application. We believe that this is the first attempt to compare all methods. Our findings indicate that parametric method does not provide good performance for EEG signal while non-parametric method lack of detail information on the EEG analysis.
Keywords :
electroencephalography; feature extraction; medical signal processing; nonparametric statistics; EEG analysis; EEG feature extraction; EEG signal; nonparametric method; parametric methods; Analytical models; Brain models; Correlation; Electroencephalography; Laboratories;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Biomedical and Health Informatics (BHI), 2012 IEEE-EMBS International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
978-1-4577-2176-2
Electronic_ISBN :
978-1-4577-2175-5
Type :
conf
DOI :
10.1109/BHI.2012.6211507
Filename :
6211507
Link To Document :
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