Title :
Optimal detection of multiharmonic visually evoked potentials
Author :
Davila, Carlos E. ; Srebro, Richard ; Ghaleb, Ibrahim A.
Author_Institution :
Dept. of Electr. Eng., Southern Methodist Univ., Dallas, TX, USA
fDate :
30 Oct-2 Nov 1997
Abstract :
We consider the problem of detecting visual evoked potentials (VEPs). A matched subspace filter (MSF) is applied to the detection of the VEP and is demonstrated to perform better than a number of other evoked potential (EP) detectors. Unlike single-harmonic detectors, the MSF detector is suitable for detecting multi-harmonic VEPs. Moreover, the MSF is optimal in the uniformly most powerful (UMP) sense for multi-harmonic signals with unknown noise variance
Keywords :
harmonics; matched filters; medical signal detection; optimisation; visual evoked potentials; matched subspace filter; multi-harmonic signals; multiharmonic visual evoked potentials; optimal detection; performance; uniformly most powerful filter; unknown noise variance; Detectors; Electroencephalography; Frequency; Gratings; Matched filters; Noise measurement; Parametric statistics; Pediatrics; Power harmonic filters; Psychology;
Conference_Titel :
Engineering in Medicine and Biology Society, 1997. Proceedings of the 19th Annual International Conference of the IEEE
Conference_Location :
Chicago, IL
Print_ISBN :
0-7803-4262-3
DOI :
10.1109/IEMBS.1997.756997
