DocumentCode
1914284
Title
Individual Evoked Potential Extraction by Multiresolution Wavelets Decomposition
Author
Benkherrat, M. ; Burle, B. ; Allain, S. ; Hasbroucq, T. ; Vidal, F.
Author_Institution
EPMI High Sch., Cergy
Volume
1
fYear
2005
fDate
21-24 Nov. 2005
Firstpage
417
Lastpage
420
Abstract
The present study aims at developing a method to extract single sweep evoked potentials. It is based on the wavelets decomposition of the individual signals. Contrary to previous methods, no a priori assumptions on the signal are necessary. A thresholding based on the coefficient of variation is applied to the wavelets coefficients in order to extract the evoked potential from the background noise. This method is compared to the classical method of low-pass filtering
Keywords
bioelectric potentials; medical signal processing; wavelet transforms; evoked potential extraction; low-pass filtering; multiresolution wavelet decomposition; wavelets coefficient; Additive noise; Background noise; Cognition; Electrodes; Electroencephalography; Filtering; Low pass filters; Scalp; Signal analysis; Signal resolution; Coefficient of variation; evoked potentials; low-pass filter; multiresolution wavelets decomposition;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer as a Tool, 2005. EUROCON 2005.The International Conference on
Conference_Location
Belgrade
Print_ISBN
1-4244-0049-X
Type
conf
DOI
10.1109/EURCON.2005.1629951
Filename
1629951
Link To Document