Title :
A nonlinear method for ERP signal processing using nonextensive entropy analysis
Author :
Shen, Minfen ; Zhang, Qianhua ; Tian, Lihua ; Chan, Francis H Y
Author_Institution :
Sci. Res. Center, Shantou Univ., Guangdong, China
fDate :
31 Aug.-4 Sept. 2004
Abstract :
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.
Keywords :
electroencephalography; entropy; medical signal processing; ERP signal processing; clinical brain electrical activity; clinical electroencephalogram signal; disorder microstates; event-related potential; nonextensive entropy analysis; nonextensive time-dependent entropy; Brain; Electroencephalography; Enterprise resource planning; Entropy; Pathology; Signal analysis; Signal processing; Signal resolution; Statistical analysis; Statistics;
Conference_Titel :
Signal Processing, 2004. Proceedings. ICSP '04. 2004 7th International Conference on
Print_ISBN :
0-7803-8406-7
DOI :
10.1109/ICOSP.2004.1442223
