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Ensemble Classifier for Epileptic Seizure Detection for Imperfect EEG Data
Brain status information is captured by physiological electroencephalogram (EEG) signals, which are extensively used to study different brain activities. This study investigates the use of a new ensemble classifier to detect an epileptic seizure from compressed and noisy EEG signals. This noise-awar...
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| Pubblicato in: | ScientificWorldJournal |
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| Autori principali: | , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Hindawi Publishing Corporation
2015
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4334942/ https://ncbi.nlm.nih.gov/pubmed/25759863 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1155/2015/945689 |
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