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Identifying signal-dependent information about the preictal state: A comparison across ECoG, EEG and EKG using deep learning
BACKGROUND: The inability to reliably assess seizure risk is a major burden for epilepsy patients and prevents developing better treatments. Recent advances have paved the way for increasingly accurate seizure preictal state detection algorithms, primarily using electrocorticography (ECoG). To devel...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Elsevier
2019
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6642360/ https://www.ncbi.nlm.nih.gov/pubmed/31300348 http://dx.doi.org/10.1016/j.ebiom.2019.07.001 |