Unsupervised movement onset detection from EEG recorded during self-paced real hand movement.

This article presents an unsupervised method for movement onset detection from electroencephalography (EEG) signals recorded during self-paced real hand movement. A Gaussian Mixture Model (GMM) is used to model the movement and idle-related EEG data. The GMM built along with appropriate classificati...

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Bibliographic Details

Published in:	Medical & Biological Engineering & Computing Vol. 48; no. 3; pp. 245 - 254
Main Authors:	Awwad Shiekh Hasan B, Gan JQ, Awwad Shiekh Hasan, Bashar, Gan, John Q
Format:	research Journal Article
Published:	Springer Nature Mar2010
Online Access:	View this record in EBSCOhost