[HTML][HTML] Ambulatory seizure forecasting with a wrist-worn device using long-short term memory deep learning
The ability to forecast seizures minutes to hours in advance of an event has been verified
using invasive EEG devices, but has not been previously demonstrated using noninvasive …
using invasive EEG devices, but has not been previously demonstrated using noninvasive …
Patient-centered design criteria for wearable seizure detection devices
AD Patel, R Moss, SW Rust, J Patterson, R Strouse… - Epilepsy & Behavior, 2016 - Elsevier
Introduction Epilepsy is a common neurological condition. Seizure diary reports and patient-
or caregiver-reported seizure counts are often inaccurate and underestimated. Many …
or caregiver-reported seizure counts are often inaccurate and underestimated. Many …
Signal quality and patient experience with wearable devices for epilepsy management
Noninvasive wearable devices have great potential to aid the management of epilepsy, but
these devices must have robust signal quality, and patients must be willing to wear them for …
these devices must have robust signal quality, and patients must be willing to wear them for …
Seizure forecasting from idea to reality. Outcomes of the my seizure gauge epilepsy innovation institute workshop
SB Dumanis, JA French, C Bernard, GA Worrell… - Eneuro, 2017 - eneuro.org
Abstract The Epilepsy Innovation Institute (Ei2) is a new research program of the Epilepsy
Foundation designed to be an innovation incubator for epilepsy. Ei2 research areas are …
Foundation designed to be an innovation incubator for epilepsy. Ei2 research areas are …
Seizure forecasting using minimally invasive, ultra‐long‐term subcutaneous electroencephalography: individualized intrapatient models
Objective One of the most disabling aspects of living with chronic epilepsy is the
unpredictability of seizures. Cumulative research in the past decades has advanced our …
unpredictability of seizures. Cumulative research in the past decades has advanced our …
Seizure occurrence is linked to multiday cycles in diverse physiological signals
Objective The factors that influence seizure timing are poorly understood, and seizure
unpredictability remains a major cause of disability. Work in chronobiology has shown that …
unpredictability remains a major cause of disability. Work in chronobiology has shown that …
Multicenter clinical assessment of improved wearable multimodal convulsive seizure detectors
F Onorati, G Regalia, C Caborni, M Migliorini… - …, 2017 - Wiley Online Library
Objective New devices are needed for monitoring seizures, especially those associated with
sudden unexpected death in epilepsy (SUDEP). They must be unobtrusive and automated …
sudden unexpected death in epilepsy (SUDEP). They must be unobtrusive and automated …
The power of ECG in multimodal patient‐specific seizure monitoring: added value to an EEG‐based detector using limited channels
Objective Wearable seizure detection devices could provide more reliable seizure
documentation outside the hospital compared to seizure self‐reporting by patients, which is …
documentation outside the hospital compared to seizure self‐reporting by patients, which is …
[HTML][HTML] Data quality evaluation in wearable monitoring
Wearable recordings of neurophysiological signals captured from the wrist offer enormous
potential for seizure monitoring. Yet, data quality remains one of the most challenging factors …
potential for seizure monitoring. Yet, data quality remains one of the most challenging factors …
Forecasting cycles of seizure likelihood
Objective Seizure unpredictability is rated as one of the most challenging aspects of living
with epilepsy. Seizure likelihood can be influenced by a range of environmental and …
with epilepsy. Seizure likelihood can be influenced by a range of environmental and …