Forecasting seizure likelihood from cycles of self-reported events and heart rate: a prospective pilot study

BACKGROUND: Seizure risk forecasting could reduce injuries and even deaths in people with epilepsy. There is great interest in using non-invasive wearable devices to generate forecasts of seizure risk. Forecasts based on cycles of epileptic activity, seizure times or heart rate have provided promisi...

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Detalles Bibliográficos
Autores principales: Xiong, Wenjuan, Stirling, Rachel E., Payne, Daniel E., Nurse, Ewan S., Kameneva, Tatiana, Cook, Mark J., Viana, Pedro F., Richardson, Mark P., Brinkmann, Benjamin H., Freestone, Dean R., Karoly, Philippa J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10300292/
https://www.ncbi.nlm.nih.gov/pubmed/37331164
http://dx.doi.org/10.1016/j.ebiom.2023.104656

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10300292/
https://www.ncbi.nlm.nih.gov/pubmed/37331164
http://dx.doi.org/10.1016/j.ebiom.2023.104656

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