Ambulatory seizure forecasting with a wrist-worn device using long-short term memory deep learning

The ability to forecast seizures minutes to hours in advance of an event has been verified using invasive EEG devices, but has not been previously demonstrated using noninvasive wearable devices over long durations in an ambulatory setting. In this study we developed a seizure forecasting system wit...

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Detalles Bibliográficos
Autores principales: Nasseri, Mona, Pal Attia, Tal, Joseph, Boney, Gregg, Nicholas M., Nurse, Ewan S., Viana, Pedro F., Worrell, Gregory, Dümpelmann, Matthias, Richardson, Mark P., Freestone, Dean R., Brinkmann, Benjamin H.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8578354/
https://www.ncbi.nlm.nih.gov/pubmed/34754043
http://dx.doi.org/10.1038/s41598-021-01449-2

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