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Browse Conference Publications > Signal Processing, 2004. Proc ... Help

A nonlinear method for ERP signal processing using nonextensive entropy analysis

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4 Author(s)
Minfen Shen ; Sci. Res. Center, Shantou Univ., Guangdong, China ; Qianhua Zhang ; Lihua Tian ; Chan, F.H.Y.

Nonextensive time-dependent entropy (TDE) is presented for analysis of event-related potential (ERP). Entropy method is effective in describing the transition of clinical electroencephalogram (EEG) signals. TDE is used to characterize in a quantitative way functional dynamics of order/disorder microstates in EEG signals. In this work TDE is computed for ERPs recorded from 14 healthy subjects in a cognitive task. From the experimental results, the dynamic characteristics of clinical brain electrical activities can be demonstrated by using nonextensive entropy method.

Published in:
Signal Processing, 2004. Proceedings. ICSP '04. 2004 7th International Conference on  (Volume:3 )

Date of Conference: 31 Aug.-4 Sept. 2004

Page(s):
2233 - 2236 vol.3
Print ISBN:
0-7803-8406-7
INSPEC Accession Number:
8412306
Digital Object Identifier :
10.1109/ICOSP.2004.1442223
Product Type:
Conference Publications

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