Paper Info
Title
Tracking the Amplitude Variation of Evoked Potential by ICA and WT
Abstract
Evoked potential (EP) is non-stationary during the recording of electroencephalograph (EEG). This paper promotes a method to track the variation of EP's amplitude by the application of independent component analysis (ICA) and wavelet transform (WT). The utilization of the spatial information and multi-trial recording improves the signal-to-noise ratio (SNR) greatly. The variation trend of EP's amplitude across trials can be evaluated quantitatively. Our result on real auditory evoked potential shows a drop of about 40% on the amplitude of EP during 10 minutes recording. The present work is helpful to study the uncertainty and singularity of EP. Furthermore, it will put forward the reasonable experiment design of EP extraction.
Year
DOI
Venue
2004
10.1007/978-3-540-28648-6_73
ADVANCES IN NEURAL NETWORKS - ISNN 2004, PT 2
Keywords
Field
DocType
signal to noise ratio,spatial information,independent component analysis,experience design,wavelet transform
Spatial analysis,Pattern recognition,Computer science,Singularity,Speech recognition,Evoked potential,Artificial intelligence,Independent component analysis,Amplitude,Electroencephalography,Design of experiments,Wavelet transform
Conference
Volume
ISSN
Citations 
3174
0302-9743
0
PageRank 
References 
Authors
0.34
2
2
Name
Order
Citations
PageRank
Ding Haiyan142.61
Ye Datian24110.06