[HTML][HTML] Epileptic seizure prediction using big data and deep learning: toward a mobile system
Background Seizure prediction can increase independence and allow preventative
treatment for patients with epilepsy. We present a proof-of-concept for a seizure prediction …
treatment for patients with epilepsy. We present a proof-of-concept for a seizure prediction …
Deep-learning for seizure forecasting in canines with epilepsy
Objective. This paper introduces a fully automated, subject-specific deep-learning
convolutional neural network (CNN) system for forecasting seizures using ambulatory …
convolutional neural network (CNN) system for forecasting seizures using ambulatory …
From seizure detection to smart and fully embedded seizure prediction engine: A review
Recent review papers have investigated seizure prediction, creating the possibility of
preempting epileptic seizures. Correct seizure prediction can significantly improve the …
preempting epileptic seizures. Correct seizure prediction can significantly improve the …
Energy-efficient neural network for epileptic seizure prediction
Seizure prediction for drug-refractory epilepsy patients can improve their quality of life,
reduce their anxiety, and help them take the necessary precautions. Nowadays, numerous …
reduce their anxiety, and help them take the necessary precautions. Nowadays, numerous …
Early prediction of epileptic seizures using a long-term recurrent convolutional network
X Wei, L Zhou, Z Zhang, Z Chen, Y Zhou - Journal of neuroscience …, 2019 - Elsevier
Background A seizure prediction system can detect seizures prior to their occurrence and
allow clinicians to provide timely treatment for patients with epilepsy. Research on seizure …
allow clinicians to provide timely treatment for patients with epilepsy. Research on seizure …
Deep learning for patient-independent epileptic seizure prediction using scalp EEG signals
Epilepsy is one of the most prevalent neurological diseases among humans and can lead to
severe brain injuries, strokes, and brain tumors. Early detection of seizures can help to …
severe brain injuries, strokes, and brain tumors. Early detection of seizures can help to …
Machine learning from wristband sensor data for wearable, noninvasive seizure forecasting
C Meisel, R El Atrache, M Jackson, S Schubach… - …, 2020 - Wiley Online Library
Objective Seizure forecasting may provide patients with timely warnings to adapt their daily
activities and help clinicians deliver more objective, personalized treatments. Although …
activities and help clinicians deliver more objective, personalized treatments. Although …
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 …
[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 …
Seizure prediction—ready for a new era
Epilepsy is a common disorder characterized by recurrent seizures. An overwhelming
majority of people with epilepsy regard the unpredictability of seizures as a major issue …
majority of people with epilepsy regard the unpredictability of seizures as a major issue …