Identifying seizure risk factors: A comparison of sleep, weather, and temporal features using a Bayesian forecast

Objective Most seizure forecasting algorithms have relied on features specific to electroencephalographic recordings. Environmental and physiological factors, such as weather and sleep, have long been suspected to affect brain activity and seizure occurrence but have not been fully explored as prior...

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Veröffentlicht in:Epilepsia (Copenhagen) 2021-02, Vol.62 (2), p.371-382
Hauptverfasser: Payne, Daniel E., Dell, Katrina L., Karoly, Phillipa J., Kremen, Vaclav, Gerla, Vaclav, Kuhlmann, Levin, Worrell, Gregory A., Cook, Mark J., Grayden, David B., Freestone, Dean R.
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Sprache:eng
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