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
fDate :
6/1/2000 12:00:00 AM
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;
Journal_Title :
Biomedical Engineering, IEEE Transactions on
