Title :
On the detection of steady-state visually evoked potentials
Author :
Liavas, A. ; Moustakides, G. ; Henning, G. ; Psarakis, E. ; Husar, P.
Author_Institution :
Dept. of Comput. Eng. & Inf., Patras Univ., Greece
fDate :
31 Oct-3 Nov 1996
Abstract :
In this paper the authors develop a new method, based on the periodogram of a time-series, for the detection of steady-state VEPs. The method tests the data for the presence of hidden periodic components, which correspond to steady-state VEPs
Keywords :
electroencephalography; medical signal processing; time series; visual evoked potentials; hidden periodic components; steady-state VEPs; steady-state visually evoked potentials detection; time-series periodogram; Biomedical computing; Biomedical informatics; Data models; Electroencephalography; Electronic mail; Frequency; Random variables; Shape; Steady-state; Testing;
Conference_Titel :
Engineering in Medicine and Biology Society, 1996. Bridging Disciplines for Biomedicine. Proceedings of the 18th Annual International Conference of the IEEE
Conference_Location :
Amsterdam
Print_ISBN :
0-7803-3811-1
DOI :
10.1109/IEMBS.1996.652653
