A system for VEP detection and stimulus phase discrimination

Author

Cilliers, Pierre J. ; Van der Kouwe, André J W

Author_Institution

Dept. of Electr. & Electron. Eng., Pretoria Univ., South Africa

fYear

1996

fDate

29-31 Mar 1996

Firstpage

77

Lastpage

80

Abstract

The development of a system for detecting the presence and estimating the phase of the visual evoked potential in the electroencephalogram (EEG) of a human subject is presented. The stimulus set consists of several light emitting diodes (LEDs), all flashing at a rate of 10 Hz but with differing phases. The system employs a combination of wavelet prefiltering, harmonic preprocessing, neural network detection and phase discrimination and postprocessing of the neural network outputs. After an initial training period, the system is able to determine from the EEG at which of the LEDs the subject is looking with a rate of error of less than 20% within an interval of 0.8 seconds

Keywords

electroencephalography; medical signal processing; signal detection; visual evoked potentials; wavelet transforms; 0.8 s; 10 Hz; LED; VEP detection system; error rate; flashing rate; harmonic preprocessing; human subject EEG; neural network detection; phase discrimination; postprocessing; stimulus phase discrimination; wavelet prefiltering; Africa; Biomedical engineering; Computer interfaces; Electroencephalography; Frequency; Humans; Light emitting diodes; Neural networks; Phase detection; Signal processing algorithms;

fLanguage

English

Publisher

ieee

Conference_Titel

Biomedical Engineering Conference, 1996., Proceedings of the 1996 Fifteenth Southern

Conference_Location

Dayton, OH

Print_ISBN

0-7803-3131-1

Type

conf

DOI

10.1109/SBEC.1996.493117

Filename

493117