Towards Memristive Deep Learning Systems for Real-time Mobile Epileptic Seizure Prediction
Corey Lammie,
Wei Xiang,
Mostafa Rahimi Azghadi
Abstract:The unpredictability of seizures continues to distress many people with drug-resistant epilepsy. On account of recent technological advances, considerable efforts have been made using different hardware technologies to realize smart devices for the real-time detection and prediction of seizures. In this paper, we investigate the feasibility of using Memristive Deep Learning Systems (MDLSs) to perform real-time epileptic seizure prediction on the edge. Using the MemTorch simulation framework and the Children's … Show more
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