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Patient Specific Seizure Prediction System Using Hilbert Spectrum and Bayesian Networks Classifiers
The aim of this paper is to develop an automated system for epileptic seizure prediction from intracranial EEG signals based on Hilbert-Huang transform (HHT) and Bayesian classifiers. Proposed system includes decomposition of the signals into intrinsic mode functions for obtaining features and use o...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Hindawi Publishing Corporation
2014
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4163414/ https://www.ncbi.nlm.nih.gov/pubmed/25246941 http://dx.doi.org/10.1155/2014/572082 |