Title :
Single trial estimation of event-related potentials using particle filtering
Author :
Mohseni, Hamid R. ; Wilding, Edward L. ; Sanei, Saeid
Author_Institution :
Sch. of Eng. & Psychol., Cardiff Univ., Cardiff
fDate :
March 31 2008-April 4 2008
Abstract :
In this paper a method based on wavelet transform (WT) and particle filtering (PF) for estimation of single trial event-related potentials (ERPs) is presented. The method is based on recursive Bayesian mean square estimation of wavelet coefficients of the ERPs, using PF as the estimator. Simulation results are provided to demonstrate the superior performance of PF over Kalman filtering (KF) for non-Gaussian and non-linear electroencephalography (EEG) signals. The methods were also applied to the real data in an odd-ball paradigm to explore the changes in the P300 component from trial to trial.
Keywords :
Kalman filters; electroencephalography; medical signal processing; particle filtering (numerical methods); wavelet transforms; EEG signals; Kalman filtering; event-related potentials; nonGaussian signals; nonlinear electroencephalography signals; particle filtering; recursive Bayesian mean square estimation; single trial estimation; single trial event-related potentials; wavelet coefficients; wavelet transform; Bayesian methods; Brain modeling; Discrete wavelet transforms; Electroencephalography; Enterprise resource planning; Filtering; Kalman filters; Psychology; Recursive estimation; Wavelet coefficients; Event related-potentials; Kalman filtering; P300; particle filtering; single trial estimation;
Conference_Titel :
Acoustics, Speech and Signal Processing, 2008. ICASSP 2008. IEEE International Conference on
Conference_Location :
Las Vegas, NV
Print_ISBN :
978-1-4244-1483-3
Electronic_ISBN :
1520-6149
DOI :
10.1109/ICASSP.2008.4517647
