Search Results - "Payne, Daniel E."

Forecasting Seizure Likelihood With Wearable Technology by Stirling, Rachel E, Grayden, David B, D'Souza, Wendyl, Cook, Mark J, Nurse, Ewan, Freestone, Dean R, Payne, Daniel E, Brinkmann, Benjamin H, Pal Attia, Tal, Viana, Pedro F, Richardson, Mark P, Karoly, Philippa J

“…The unpredictability of epileptic seizures exposes people with epilepsy to potential physical harm, restricts day-to-day activities, and impacts mental…”
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Seizure likelihood varies with day-to-day variations in sleep duration in patients with refractory focal epilepsy: A longitudinal electroencephalography investigation by Dell, Katrina L., Payne, Daniel E., Kremen, Vaclav, Maturana, Matias I., Gerla, Vaclav, Nejedly, Petr, Worrell, Gregory A., Lenka, Lhotska, Mivalt, Filip, Boston, Raymond C., Brinkmann, Benjamin H., D'Souza, Wendyl, Burkitt, Anthony N., Grayden, David B., Kuhlmann, Levin, Freestone, Dean R., Cook, Mark J.

“…While the effects of prolonged sleep deprivation (≥24 h) on seizure occurrence has been thoroughly explored, little is known about the effects of day-to-day…”
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Identifying seizure risk factors: A comparison of sleep, weather, and temporal features using a Bayesian forecast by 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.

“…Objective Most seizure forecasting algorithms have relied on features specific to electroencephalographic recordings. Environmental and physiological factors,…”
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Ambient air pollution and epileptic seizures: A panel study in Australia by Chen, Zhuying, Yu, Wenhua, Xu, Rongbin, Karoly, Philippa J., Maturana, Matias I., Payne, Daniel E., Li, Lyra, Nurse, Ewan S., Freestone, Dean R., Li, Shanshan, Burkitt, Anthony N., Cook, Mark J., Guo, Yuming, Grayden, David B.

“…Objective Emerging evidence has shown that ambient air pollution affects brain health, but little is known about its effect on epileptic seizures. This work…”
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Postictal suppression and seizure durations: A patient‐specific, long‐term iEEG analysis by Payne, Daniel E., Karoly, Philippa J., Freestone, Dean R., Boston, Ray, D'Souza, Wendyl, Nurse, Ewan, Kuhlmann, Levin, Cook, Mark J., Grayden, David B.

“…Summary Objective We report on patient‐specific durations of postictal periods in long‐term intracranial electroencephalography (iEEG) recordings. The…”
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Forecasting seizure likelihood from cycles of self-reported events and heart rate: a prospective pilot study by 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.

“…Seizure risk forecasting could reduce injuries and even deaths in people with epilepsy. There is great interest in using non-invasive wearable devices to…”
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Forecasting seizure likelihood from cycles of self-reported events and heart rate: a prospective pilot studyResearch in context by 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

“…Background: Seizure risk forecasting could reduce injuries and even deaths in people with epilepsy. There is great interest in using non-invasive wearable…”
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Epileptic seizure forecasting with long short-term memory (LSTM) neural networks by Payne, Daniel E, Chambers, Jordan D, Burkitt, Anthony, Cook, Mark J, Kuhlman, Levin, Freestone, Dean R, Grayden, David B

“…Objective: Forecasting epileptic seizures can reduce uncertainty for patients and allow preventative actions. While many models can predict the occurrence of…”
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