Title :
Optimal detection of visual evoked potentials
Author :
Davila, Carlos E. ; Srebro, Richard ; Ghaleb, Ibrahim A.
Author_Institution :
Dept. of Electr. Eng., Southern Methodist Univ., Dallas, TX, USA
fDate :
6/1/1998 12:00:00 AM
Abstract :
The authors consider the problem of detecting visual evoked potentials (VEP´s). A matched subspace filter is applied to the detection of the VEP and is demonstrated to perform better than a number of other evoked potential detectors. Unlike single-harmonic detectors, the matched subspace filter (MSF) detector is suitable for detecting multiharmonic VEP´s. Moreover, the MSF is optimal in the uniformly most powerful sense for multiharmonic signals with unknown noise variance.
Keywords :
biomedical electronics; matched filters; medical signal processing; visual evoked potentials; matched subspace filter; medical diagnostic technique; multiharmonic VEP´s; single-harmonic detectors; unknown noise variance signals; visual evoked potentials optimal detection; Biomedical measurements; Detectors; Frequency; Gratings; Matched filters; Noise measurement; Parametric statistics; Pediatrics; Power harmonic filters; Psychology; Algorithms; Electrodes; Evoked Potentials, Visual; Humans; Predictive Value of Tests; Reference Values; Signal Processing, Computer-Assisted;
Journal_Title :
Biomedical Engineering, IEEE Transactions on
