Single trial VEP extraction using digital filter

Author

Palaniappan, R. ; Raveendran, P.

Author_Institution

Dept. of Electr. & Telecommun., Malaya Univ., Kuala Lumpur, Malaysia

fYear

2001

fDate

6/23/1905 12:00:00 AM

Firstpage

249

Lastpage

252

Abstract

We describe a method to extract single trial visual evoked potential (VEP) buried in ongoing electroencephalogram (EEG) activity. The common method for separating VEP from EEG is to use signal averaging. But we use digital filters to extract VEP assuming that VEP spectra are in the gamma band. As an application, a fuzzy ARTMAP (FA) neural network classifier with voting strategy is used with this extracted VEP to discriminate alcoholics from normal subjects. The VEP is extracted from subjects while seeing visuals of the Snodgrass and Vanderwart (1980) picture set. The high FA classification of 96.5% shows the validity of the proposed method to successfully remove EEG contamination

Keywords

digital filters; electroencephalography; feature extraction; filtering theory; fuzzy neural nets; medical signal processing; signal classification; visual evoked potentials; EEG activity; Fuzzy ARTMAP classification; VEP spectra; alcoholics; electroencephalogram; fuzzy ARTMAP neural network classifier; gamma band; signal averaging; single trial VEP extraction; visual evoked potential; voting strategy; Alcoholism; Band pass filters; Biological neural networks; Contamination; Digital filters; Electroencephalography; Fuzzy neural networks; Low pass filters; Sampling methods; Voting;

fLanguage

English

Publisher

ieee

Conference_Titel

Statistical Signal Processing, 2001. Proceedings of the 11th IEEE Signal Processing Workshop on

Print_ISBN

0-7803-7011-2

Type

conf

DOI

10.1109/SSP.2001.955269

Filename

955269