Real time estimation of evoked potentials by adaptive time - Dependent filter

Menachem Fine, Miriam Furst

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Estimating evoked potentials is a process of detecting a signal out of measurements ensemble. The evoked potentials are usually described as a deterministic process which is corrupted by unrelated noise. The signal is usually detected by averaging these measurements. We propose an improved consistent estimation of the signal, which is based on the average response. The proposed filter is depend on the estimation of the signal and the noise autocorrelations. The filter coefficients are obtained by minimizing the mean squared error (MSE) of the optimal filter of a non stationary process applied on a single sweep. The average and autocorrelation matrixes can be build in real time, without saving the measured data. A short off line processing of the calculated data is needed afterwards.

Original languageEnglish
Title of host publicationProceedings - 17th Convention of Electrical and Electronics Engineers in Israel, EEIS 1991
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages259-262
Number of pages4
ISBN (Electronic)0879426780, 9780879426781
DOIs
StatePublished - 1991
Event17th Convention of Electrical and Electronics Engineers in Israel, EEIS 1991 - Tel Aviv, Israel
Duration: 5 Mar 19917 Mar 1991

Publication series

NameProceedings - 17th Convention of Electrical and Electronics Engineers in Israel, EEIS 1991

Conference

Conference17th Convention of Electrical and Electronics Engineers in Israel, EEIS 1991
Country/TerritoryIsrael
CityTel Aviv
Period5/03/917/03/91

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