A novel method for automated classification of epileptiform activity in the human electroencephalogram-based on independent component analysis.
Diagnosis of several neurological disorders is based on the detection of typical pathological patterns in the electroencephalogram (EEG). This is a time-consuming task requiring significant training and experience. Automatic detection of these EEG patterns would greatly assist in quantitative analys...
| Publicado en: | Medical & Biological Engineering & Computing Vol. 46; no. 3; pp. 263 - 273 |
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| Autores principales: | , , , , , , , |
| Formato: | research Journal Article |
| Publicado: |
Springer Nature
Mar2008
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| Acceso en línea: | Ver este registro en EBSCOhost |