Time varying filters for estimation of evoked potentials

Author

Sita, G. ; Sastry, R.V.S. ; Ramakrishnan, A.G.

Author_Institution

Biomed. Eng. Lab., Indian Inst. of Sci., Bangalore, India

fYear

1995

fDate

15-18 Feb 1995

Firstpage

12114

Lastpage

12479

Abstract

Presents a method for the estimation of evoked potentials (EPs) using an a posteriori time varying filter based on the discrete wavelet transform (DWT). The proposed filter uses alternate subensemble averaging (ASA) to arrive at the signal and noise scalogram estimates. This filter, when applied on the ensemble average (EA), leads to an improvement in the SNR when applied on the individual trials, the ongoing EEG is significantly eliminated, revealing the underlying EP. The proposed filter has been tested on simulated data

Keywords

bioelectric potentials; electroencephalography; medical signal processing; time-varying filters; wavelet transforms; EEG analysis; Wiener filtering; a posteriori time varying filter; evoked potentials estimation; individual trials; noise scalogram estimates; signal-to-noise ratio; simulated data; Biomedical engineering; Brain modeling; Discrete wavelet transforms; Electroencephalography; Filter bank; Filtering; Neural pathways; Testing; Time varying systems; Wiener filter;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, 1995 and 14th Conference of the Biomedical Engineering Society of India. An International Meeting, Proceedings of the First Regional Conference., IEEE

Conference_Location

New Delhi

Print_ISBN

0-7803-2711-X

Type

conf

DOI

10.1109/RCEMBS.1995.532963

Filename

532963