Subspace regularization method for the single-trial estimation of evoked potentials.
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.
University of Kuopio, Department of Applied Physics, Finland. Pasi.Karjalainen@uku.fi
P A
PA
Karjalainen
J P
JP
Kaipio
A S
AS
Koistinen
M
M
Vauhkonen
D001499:Bayes Theorem; D004569:Electroencephalography; D005071:Evoked Potentials; D016014:Linear Models; D008959:Models, Neurological; D015233:Models, Statistical; D011930:Reaction Time