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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Autors principals:	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
Format:	Artigo
Idioma:	Inglês
Publicat:	Elsevier 2023-07-01
Col·lecció:	EBioMedicine
Matèries:	Epilepsy Seizure forecasting Seizure cycles Multidien cycles Wearable Heart rate
Accés en línia:	http://www.sciencedirect.com/science/article/pii/S2352396423002219
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