Adaptive filter and adaptive linear Fourier combined in processing of cognitive-event-related potential

Author

Vasile, D. ; Vasile, D. ; Puscasu, V. ; Foca, E.

Author_Institution

Sch. of Eng. & Appl. Sci., Southern Methodist Univ., Dallas, TX, USA

fYear

2000

fDate

2000

Firstpage

753

Lastpage

760

Abstract

This paper focuses on estimating the evoked potential (EP) signal, recorded from a human scalp, that occurs in response to an externally applied stimulus. A Fourier series model for time-varying EPs is chosen. The model parameters are estimated by a recursive least squares (RLS) adaptive procedure, enabling the estimator to efficiently track clinically significant alterations in the EP

Keywords

Fourier series; adaptive filters; adaptive signal processing; bioelectric potentials; electroencephalography; least squares approximations; medical signal processing; parameter estimation; time-varying systems; adaptive filter; adaptive linear Fourier series model; clinically significant alterations tracking; cognitive event-related potential processing; externally applied stimulus; human scalp; model parameter estimation; recursive least squares adaptive procedure; time-varying evoked potential signal estimation; Adaptive filters; Additive noise; Fourier series; Monitoring; Parameter estimation; Resonance light scattering; Signal analysis; Signal processing; Signal processing algorithms; Working environment noise;

fLanguage

English

Publisher

ieee

Conference_Titel

Signal Processing Systems, 2000. SiPS 2000. 2000 IEEE Workshop on

Conference_Location

Lafayette, LA

ISSN

1520-6130

Print_ISBN

0-7803-6488-0

Type

conf

DOI

10.1109/SIPS.2000.886773

Filename

886773