Khan, Mohammad Emtiyaz and Dutt, Deshpande Narayana (2007) An Expectation-Maximization Algorithm Based Kalman Smoother Approach for Event-Related Desynchronization (ERD)Estimation from EEG. In: IEEE Transactions on Biomedical Engineering, 54 (7). pp. 1191-1198.
We consider the problem of event-related desynchronization(ERD) estimation. In existing approaches, model parameters are usually found manually through experimentation, a tedious task that often leads to suboptimal estimates. We propose an expectation-maximization (EM) algorithm for model parameter estimation that is fully automatic and gives optimal estimates. Further, we apply a Kalman smoother to obtain ERD estimates. Results show that the EM algorithm significantly improves the performance of the Kalman smoother. Application of the proposed approach to the motor-imagery EEG data shows that useful ERD patterns can be obtained even without careful selection of frequency bands.
|Item Type:||Journal Article|
|Additional Information:||Copyright 2007 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.|
|Keywords:||Event-related desynchronization;expectationmaximization algorithm;Kalman smoother.|
|Department/Centre:||Division of Electrical Sciences > Electrical Communication Engineering|
|Date Deposited:||02 Jul 2008|
|Last Modified:||19 Sep 2010 04:46|
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