Classification of multichannel EEG patterns using parallel hidden Markov models.
In this paper, a parallel hidden-Markov-model (PHMM)-based approach is proposed for the problem of multichannel electroencephalogram (EEG) patterns classification. The approach is based on multi-channel representation of the EEG signals using a parallel combination of HMMs, where each model represen...
| Publicado en: | Medical & Biological Engineering & Computing Vol. 50; no. 4; pp. 319 - 329 |
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| Autores principales: | , , , |
| Formato: | research Journal Article |
| Publicado: |
Springer Nature
Apr2012
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| Acceso en línea: | Ver este registro en EBSCOhost |