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

Summary: 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 provid...

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Detalhes bibliográficos

Principais autores:	Wenjuan Xiong, Rachel E. Stirling, Daniel E. Payne, Ewan S. Nurse, Tatiana Kameneva, Mark J. Cook, Pedro F. Viana, Mark P. Richardson, Benjamin H. Brinkmann, Dean R. Freestone, Philippa J. Karoly
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Elsevier 2023-07-01
coleção:	EBioMedicine
Assuntos:	Epilepsy Seizure forecasting Seizure cycles Multidien cycles Wearable Heart rate
Acesso em linha:	http://www.sciencedirect.com/science/article/pii/S2352396423002219
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