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Automatic epilepsy detection using fractal dimensions segmentation and GP–SVM classification
OBJECTIVE: The most important part of signal processing for classification is feature extraction as a mapping from original input electroencephalographic (EEG) data space to new features space with the biggest class separability value. Features are not only the most important, but also the most diff...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Dove Medical Press
2018
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6157576/ https://www.ncbi.nlm.nih.gov/pubmed/30275697 http://dx.doi.org/10.2147/NDT.S167841 |