Subspace regularization method for the single-trial estimation of evoked potentials

Author

Karjalainen, Pasi A. ; Kaipio, Jari P. ; Koistinen, Anu S. ; Vauhkonen, Marko

Author_Institution

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

Volume

46

Issue

7

fYear

1999

fDate

7/1/1999 12:00:00 AM

Firstpage

849

Lastpage

860

Abstract

A method for the single-trial estimation of the evoked potentials is proposed. The method is based on the so-called subspace regularization approach in which the second-order statistics of the set of the measurements is used to form a prior information model for the evoked potentials. The method is closely related to the Bayesian estimation. The performance of the proposed method is evaluated using realistic simulations. As a specific application the method is applied to the estimation of the target responses in the P300 test.

Keywords

Bayes methods; bioelectric potentials; electroencephalography; medical signal processing; physiological models; statistical analysis; P300 test; background EEG; electrodiagnostics; evoked potentials; prior information model; realistic simulations; second-order statistics; single-trial estimation; subspace regularization method; target responses estimation; Associate members; Bayesian methods; Brain modeling; Electroencephalography; Filtering; Loss measurement; Signal to noise ratio; Statistics; Stochastic resonance; Testing; Bayes Theorem; Electroencephalography; Evoked Potentials; Linear Models; Models, Neurological; Models, Statistical; Reaction Time;

fLanguage

English

Journal_Title

Biomedical Engineering, IEEE Transactions on

Publisher

ieee

ISSN

0018-9294

Type

jour

DOI

10.1109/10.771195

Filename

771195