DocumentCode :
2484823
Title :
The non-stationary of evoked potential tracked by ICA and WT
Author :
Ding, Haiyan ; Ye, Datian
Author_Institution :
Dept. of Biomedical Eng., Tsinghua Univ., Beijing
fYear :
0
fDate :
0-0 0
Firstpage :
74
Lastpage :
76
Abstract :
This paper promotes a method to track the non-stationary of evoked potential´s amplitude during the electroencephalograph recording by the application of independent component analysis and wavelet transform. With the aid of the spatial information and multi-trial recording, the signal-to-noise ratio is improved greatly enough to quantitatively evaluate how the evoked potential´s amplitude varies across the trials. The result on real auditory evoked potential shows a drop of about 40% on the amplitude of evoked potential during 10 minutes recording. The present work is helpful to study the uncertainty and singularity of evoked potential. Furthermore, it will put forward the reasonable experiment design of evoked potential extraction
Keywords :
auditory evoked potentials; electroencephalography; independent component analysis; medical signal processing; wavelet transforms; ICA; WT; auditory evoked potential; electroencephalography; evoked potential extraction; independent component analysis; nonstationary evoked potential; signal-to-noise ratio; wavelet transform; Biomedical engineering; Brain modeling; Data mining; Electroencephalography; Independent component analysis; Principal component analysis; Signal to noise ratio; Uncertainty; Wavelet analysis; Wavelet transforms; Evoked potential (EP); Independent component analysis (ICA); Wavelet transform (WT);
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Architectures for Machine Perception, 2003 IEEE International Workshop on
Conference_Location :
Hong Kong
Print_ISBN :
0-7803-8612-4
Type :
conf
DOI :
10.1109/ISSMD.2004.1689564
Filename :
1689564
Link To Document :
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