[HTML][HTML] Artificial intelligence in healthcare: review and prediction case studies
Artificial intelligence (AI) has been developing rapidly in recent years in terms of software
algorithms, hardware implementation, and applications in a vast number of areas. In this …
algorithms, hardware implementation, and applications in a vast number of areas. In this …
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 …
A deep learning based ensemble learning method for epileptic seizure prediction
In epilepsy, patients suffer from seizures which cannot be controlled with medicines or
surgical treatments in more than 30% of the cases. Prediction of epileptic seizures is …
surgical treatments in more than 30% of the cases. Prediction of epileptic seizures is …
[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 …
Clinical utility of EEG in diagnosing and monitoring epilepsy in adults
WO Tatum, G Rubboli, PW Kaplan, SM Mirsatari… - Clinical …, 2018 - Elsevier
Electroencephalography (EEG) remains an essential diagnostic tool for people with epilepsy
(PWE). The International Federation of Clinical Neurophysiology produces new guidelines …
(PWE). The International Federation of Clinical Neurophysiology produces new guidelines …
Animal models in epilepsy research: legacies and new directions
BP Grone, SC Baraban - Nature neuroscience, 2015 - nature.com
Human epilepsies encompass a wide variety of clinical, behavioral and electrical
manifestations. Correspondingly, studies of this disease in nonhuman animals have brought …
manifestations. Correspondingly, studies of this disease in nonhuman animals have brought …
Towards accurate prediction of epileptic seizures: A review
Recent research has investigated the possibility of predicting epileptic seizures. Intervention
before the onset of seizure manifestations could be envisioned with accurate seizure …
before the onset of seizure manifestations could be envisioned with accurate seizure …
Epileptic seizure prediction using deep transformer model
The electroencephalogram (EEG) is the most promising and efficient technique to study
epilepsy and record all the electrical activity going in our brain. Automated screening of …
epilepsy and record all the electrical activity going in our brain. Automated screening of …
Seizure forecasting and cyclic control of seizures
Epilepsy is a unique neurologic condition characterized by recurrent seizures, where
causes, underlying biomarkers, triggers, and patterns differ across individuals. The …
causes, underlying biomarkers, triggers, and patterns differ across individuals. The …
Crowdsourcing reproducible seizure forecasting in human and canine epilepsy
BH Brinkmann, J Wagenaar, D Abbot, P Adkins… - Brain, 2016 - academic.oup.com
Abstract See Mormann and Andrzejak (doi: 10.1093/brain/aww091) for a scientific
commentary on this article. Accurate forecasting of epileptic seizures has the potential to …
commentary on this article. Accurate forecasting of epileptic seizures has the potential to …