Title :
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
fDate :
7/1/1999 12:00:00 AM
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;
Journal_Title :
Biomedical Engineering, IEEE Transactions on
