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

Volume

6

fYear

1998

fDate

29 Oct-1 Nov 1998

Firstpage

3192

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, 1998. Proceedings of the 20th Annual International Conference of the IEEE

Conference_Location

Hong Kong

ISSN

1094-687X

Print_ISBN

0-7803-5164-9

Type

conf

DOI

10.1109/IEMBS.1998.746172

Filename

746172