Energy-Efficient Spiking-CNN-Based Cross-Patient Seizure Detection
Author:
Affiliation:
1. York University,Department of Electrical Engineering and Computer Science,Canada
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10181241/10181318/10181879.pdf?arnumber=10181879
Reference25 articles.
1. Subject Selection on a Riemannian Manifold for Unsupervised Cross-subject Seizure Detection;bolagh;ArXiv,0
2. Automatic Seizure Detection via an Optimized Image-Based Deep Feature Learning
3. Battery-less Tri-band-Radio Neuro-monitor and Responsive Neurostimulator for Diagnostics and Treatment of Neurological Disorders
4. Applying Deep Learning for Epilepsy Seizure Detection and Brain Mapping Visualization
5. Learning Robust Features using Deep Learning for Automatic Seizure Detection;thodoroff;Proceedings of the 1st Machine Learning for Healthcare Conference,0
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