Subspace averaging of steady-state visual evoked potentials.
A new algorithm for doing signal averaging of steady-state visual evoked potentials (VEP's) 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.
Davila
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Electrical Engineering Department, Southern Methodist University, Dallas, TX 75275-0338, USA. cd@seas.smu.edu
Srebro
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D000465:Algorithms; D016477:Artifacts; D004569:Electroencephalography / Q000379:methods / Q000706:statistics & numerical data; D005074:Evoked Potentials, Visual / Q000502:physiology*; D006801:Humans; D012815:Signal Processing, Computer-Assisted; D013997:Time Factors