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Supervised filters for EEG signal in naturally occurring epilepsy forecasting
Nearly 1% of the global population has Epilepsy. Forecasting epileptic seizures with an acceptable confidence level, could improve the disease treatment and thus the lifestyle of the people who suffer it. To do that the electroencephalogram (EEG) signal is usually studied through spectral power band...
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| Publicado no: | PLoS One |
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| Main Authors: | , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Public Library of Science
2017
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5478122/ https://ncbi.nlm.nih.gov/pubmed/28632737 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0178808 |
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