A 9.5ms-Latency 6.2µJ/Inference Spiking CNN for Patient-Specific Seizure Detection
Author:
Affiliation:
1. York University,Department of Electrical Engineering and Computer Science,Toronto,Canada
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10388488/10388438/10388869.pdf?arnumber=10388869
Reference35 articles.
1. A 16-Channel Patient-Specific Seizure Onset and Termination Detection SoC With Impedance-Adaptive Transcranial Electrical Stimulator
2. A Fully Integrated 16-Channel Closed-Loop Neural-Prosthetic CMOS SoC With Wireless Power and Bidirectional Data Telemetry for Real-Time Efficient Human Epileptic Seizure Control
3. Rail-to-Rail-Input Dual-Radio 64-Channel Closed-Loop Neurostimulator
4. A 9.2-g Fully-Flexible Wireless Ambulatory EEG Monitoring and Diagnostics Headband With Analog Motion Artifact Detection and Compensation
5. A Resource-Optimized VLSI Architecture for Patient-Specific Seizure Detection using Frontal-Lobe EEG
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