| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 8437553 | EBioMedicine | 2018 | 9 Pages |
Abstract
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.
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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,