Title :
Adaptive estimation and detection of evoked potentials
Author :
Westerkamp, John J. ; Slifka, Janet L.
Author_Institution :
Dept. of Electr. Eng., Dayton Univ., OH, USA
Abstract :
A multichannel adaptive signal enhancer designed for estimating and detecting evoked potentials is described. Studies involving mean-square-error measurements show that learning can be significantly improved by using a gating algorithm that updates the weights only when the signal is present. A symmetric noncausal format for the weights was found to extract the initial peak of the signal with the most consistency. Tests were performed using human visual evoked potential data. An investigation of several filter configurations showed that averaging performed as well as adaptive filtering for estimating the evoked potential. When detection of the signal is most crucial, the adaptive filter offers more advantages than averaging
Keywords :
adaptive systems; bioelectric potentials; signal processing; vision; evoked potentials detection; filter configuration; gating algorithm; human visual evoked potentials; learning; mean-square-error measurements; multichannel adaptive signal enhancer; symmetric noncausal format; Adaptive estimation; Adaptive filters; Adaptive signal detection; Adaptive signal processing; Convergence; Laboratories; Least squares approximation; Signal processing algorithms; Testing; Wiener filter;
Conference_Titel :
Engineering in Medicine and Biology Society, 1989. Images of the Twenty-First Century., Proceedings of the Annual International Conference of the IEEE Engineering in
Conference_Location :
Seattle, WA
DOI :
10.1109/IEMBS.1989.95941
