Title :
Adaptive Fourier estimation of time-varying evoked potentials
Author :
Vaz, Christopher A. ; Thakor, Nitish V.
Author_Institution :
Dept. of Biomed. Eng., Johns Hopkins Med. Sch., Baltimore, MD, USA
fDate :
4/1/1989 12:00:00 AM
Abstract :
In this estimation procedure the evoked response is modeled as a dynamic Fourier series and the Fourier coefficients are estimated adaptively by the least-mean-square algorithm. Approximate expressions have been developed for the estimation error and time constant of adaptation. A procedure for optimizing the estimator performance is also presented. The effectiveness of the estimator with simulated as well as actual evoked responses is demonstrated.
Keywords :
Fourier analysis; bioelectric potentials; adaptation time constant; adaptive Fourier estimation; dynamic Fourier series; estimation error; least-mean-square algorithm; time-varying evoked potentials; Central nervous system; Centralized control; Control systems; Electric potential; Estimation error; Fourier series; Least mean square algorithms; Least squares approximation; Signal to noise ratio; Wiener filter; Evoked Potentials, Visual; Fourier Analysis;
Journal_Title :
Biomedical Engineering, IEEE Transactions on
