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...
| Publicado en: | Medical & Biological Engineering & Computing Vol. 48; no. 3; pp. 245 - 254 |
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| Autores principales: | , , , |
| Formato: | research Journal Article |
| Publicado: |
Springer Nature
Mar2010
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| Acceso en línea: | Ver este registro en EBSCOhost |