Recursive Bayesian estimation of single trial evoked potentials

Author

Karjalainen, P.A. ; Kaipio, J.P. ; Koistinen, A.S. ; Kärki, T.

Author_Institution

Dept. of Appl. Phys., Kuopio Univ., Finland

Volume

3

fYear

1996

fDate

31 Oct-3 Nov 1996

Firstpage

941

Abstract

A method for the sequential estimation of single trial evoked potentials (EP) is presented. The method is based on recursive Bayesian Mean Squares estimation. The evoked potentials are estimated sequentially using the old estimates as the prior information. The estimated EPs are constrained to a principal subspace of the ensemble of measurements. The method is shown to be capable of tracking slow trends in parameters of the EP. The performance of the method is evaluated with realistic simulated evoked potential measurements

Keywords

Bayes methods; bioelectric potentials; medical signal processing; recursive estimation; electrodiagnostics; measurements ensemble; method performance; parameter slow trends tracking; principal subspace; prior information; recursive Bayesian Mean Squares estimation; single trial evoked potentials; Bayesian methods; Delay; Filtering; Hospitals; Neurophysiology; Physics; Principal component analysis; Recursive estimation; Vectors; Wiener filter;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, 1996. Bridging Disciplines for Biomedicine. Proceedings of the 18th Annual International Conference of the IEEE

Conference_Location

Amsterdam

Print_ISBN

0-7803-3811-1

Type

conf

DOI

10.1109/IEMBS.1996.652651

Filename

652651