Title :
Visual evoked potential estimation by eigendecomposition
Author :
Qiu, W. ; Chan, F.H.Y. ; Lam, F.K.
Author_Institution :
Dept. of Electron. & Commun. Eng., South China Univ. of Technol., Guangzhou, China
fDate :
29 Oct-1 Nov 1998
Abstract :
In this paper an eigendecomposition method is presented to estimate evoked potentials (EP). Taking into account of the characteristic of evoked potentials, the method uses two observations both of which contain desired EP signal and undesired EEG signal. If the desired and undesired signal are uncorrelated (i.e. they are orthgonal) and the signal-to-noise-ratios (SNR) of each observations are different, we can use the eigendecomposition method to separate EP signal from EEG. Visual evoked potentials (VEP) of humans have been estimated and good results obtained by this method
Keywords :
decorrelation; eigenvalues and eigenfunctions; filtering theory; matrix decomposition; medical signal processing; visual evoked potentials; SNR; correlation matrices; desired VEP signal; eigendecomposition method; eigenvalue analysis; linear convolution; optimum filter; undesired EEG signal; visual evoked potential estimation; white noise; Adaptive filters; Brain modeling; Design methodology; Digital filters; Distortion; Electroencephalography; Humans; Signal design; Signal processing; Signal to noise ratio;
Conference_Titel :
Engineering in Medicine and Biology Society, 1998. Proceedings of the 20th Annual International Conference of the IEEE
Conference_Location :
Hong Kong
Print_ISBN :
0-7803-5164-9
DOI :
10.1109/IEMBS.1998.746172
