Epileptic seizure prediction using big data and deep learning: Toward a mobile system


This study demonstrates that deep learning in combination with neuromorphic hardware can provide the basis for a wearable, real-time, always-on, patient-specific seizure warning system with low power consumption and reliable long-term performance.


Isabell Kiral-Korneka, Subhrajit Roya, Ewan Nurse, Benjamin Mashford, Philippa Karoly, Thomas Carroll, Daniel Payne, Susmita Saha, Steven Baldassano, Terence O’Brien, David Grayden, Mark Cook, Dean Freestone, and Stefan Harrer.

Published on January 2018


Access: Open

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