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

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 promising forecasti...

Full description

Saved in:

Bibliographic Details
Published in:	EBioMedicine Vol. 93; p. 104656
Main Authors:	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.
Format:	Journal Article
Language:	English
Published:	Netherlands Elsevier B.V 01.07.2023 Elsevier
Subjects:	Advanced Basic Science Australia Epilepsy Epilepsy - epidemiology Forecasting Heart Rate Humans Internal Medicine Multidien cycles Pilot Projects Prospective Studies Retrospective Studies Seizure cycles Seizure forecasting Seizures - epidemiology Self Report Wearable Australia Heart rate Seizure forecasting Seizure cycles Wearable Epilepsy Multidien cycles
ISSN:	2352-3964, 2352-3964
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Be the first to leave a comment!