An expectation-maximization algorithm based Kalman smoother approach for single-trial estimation of event-related potentials
This paper applies an expectation-maximization (EM) based Kalman smoother (KS) approach for single-trial event-related potential (ERP) estimation. Existing studies assume a Markov diffusion process for the dynamics of ERP parameters which is recursively estimated by optimal filtering approaches such...
Main Authors: | Ting, Chee Ming, Samdin, Siti Balqis, Shaikh Salleh, Sheikh Hussain, Omar, Mohd. Hafizi, Ismail, Kamarulafizam |
---|---|
Format: | Article |
Published: |
2012
|
Subjects: |
Similar Items
-
Estimating dynamic cortical connectivity from motor imagery EEG using KALMAN smoother & EM algorithm
by: Samdin, Siti Balqis, et al.
Published: (2014) -
Analysis of non-stationary EEG signals using Kalman smoother /
by: Siti Balqis Samdin, 1988-, author, et al.
Published: (2011) -
Analysis of non-stationary EEG signals using Kalman smoother /
by: Siti Balqis Samdin, 1988-, author, et al.
Published: (2011) -
State-space modeling and estimation for multivariate brain signals
by: Samdin, Siti Balqis
Published: (2017) -
Linear dynamic models for classification of single-trial EEG
by: Samdin, S. Balqis, et al.
Published: (2013)