Epileptic Seizure Prediction Using Big Data and Deep Learning: Toward a Mobile System

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 system that is accurate, fully automated, patient-specific, and tunable to an individual's needs. Methods: Intracranial el...

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Bibliographic Details
Main Authors: Isabell Kiral-Kornek, Subhrajit Roy, Ewan Nurse, Benjamin Mashford, Philippa Karoly, Thomas Carroll, Daniel Payne, Susmita Saha, Steven Baldassano, Terence O'Brien, David Grayden, Mark Cook, Dean Freestone, Stefan Harrer
Format: Article
Language:English
Published: Elsevier 2018-01-01
Series:EBioMedicine
Subjects:
Epilepsy
Seizure prediction
Artificial intelligence
Deep neural networks
Mobile medical devices
Precision medicine
Online Access:http://www.sciencedirect.com/science/article/pii/S235239641730470X

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http://www.sciencedirect.com/science/article/pii/S235239641730470X

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