Classification of multi-class motor imagery with a novel hierarchical SVM algorithm for brain-computer interfaces.
Pattern classification algorithm is the crucial step in developing brain-computer interface (BCI) applications. In this paper, a hierarchical support vector machine (HSVM) algorithm is proposed to address an EEG-based four-class motor imagery classification task. Wavelet packet transform is employed...
| Publicado en: | Medical & Biological Engineering & Computing Vol. 55; no. 10; pp. 1809 - 1819 |
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| Autores principales: | , , , , , , |
| Formato: | Journal Article |
| Publicado: |
Springer Nature
Oct2017
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| Acceso en línea: | Ver este registro en EBSCOhost |