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Behavioral State Classification in Epileptic Brain using Intracranial Electrophysiology
OBJECTIVE: Automated behavioral state classification can benefit next generation implantable epilepsy devices. In this study we explored the feasibility of automated awake (AW) and slow wave sleep (SWS) classification using wide bandwidth intracranial EEG (iEEG) in patients undergoing evaluation for...
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| Udgivet i: | J Neural Eng |
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| Main Authors: | , , , , , , , , , |
| Format: | Artigo |
| Sprog: | Inglês |
| Udgivet: |
2017
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| Fag: | |
| Online adgang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5460075/ https://ncbi.nlm.nih.gov/pubmed/28050973 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1088/1741-2552/aa5688 |
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