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
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;
Conference_Titel :
Computer as a Tool, 2005. EUROCON 2005.The International Conference on
Conference_Location :
Belgrade
Print_ISBN :
1-4244-0049-X
DOI :
10.1109/EURCON.2005.1629951
