DocumentCode
1340123
Title
Subspace averaging of steady-state visual evoked potentials
Author
Davila, Carlos E. ; Srebro, Richard
Author_Institution
Dept. of Electr. Eng., Southern Methodist Univ., Dallas, TX, USA
Volume
47
Issue
6
fYear
2000
fDate
6/1/2000 12:00:00 AM
Firstpage
720
Lastpage
728
Abstract
A new algorithm for doing signal averaging of steady-state visual evoked potentials (VEPs) is described. The subspace average is obtained by finding the orthogonal projection of the VEP measurement vector onto the signal subspace, which is based on a sinusoidal VEP signal model. The subspace average is seen to out-perform the conventional average using a new signal-to-noise-ratio-based performance measure on simulated and actual VEP data.
Keywords
electroencephalography; medical signal processing; vectors; visual evoked potentials; actual VEP data; signal averaging algorithm; signal-to-noise-ratio-based performance; simulated VEP data; steady-state visual evoked potentials; subspace averaging; Blindness; Brain modeling; Convergence; Delay estimation; Electroencephalography; Optical sensors; Pediatrics; Signal to noise ratio; Steady-state; Wiener filter; Algorithms; Artifacts; Electroencephalography; Evoked Potentials, Visual; Humans; Signal Processing, Computer-Assisted; Time Factors;
fLanguage
English
Journal_Title
Biomedical Engineering, IEEE Transactions on
Publisher
ieee
ISSN
0018-9294
Type
jour
DOI
10.1109/10.844219
Filename
844219
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