A 96.2-nJ/class Neural Signal Processor With Adaptable Intelligence for Seizure Prediction
Author:
Affiliation:
1. Graduate Institute of Electronics Engineering, National Taiwan University, Taipei, Taiwan
2. Department of Electrical Engineering and the Graduate Institute of Electronics Engineering, National Taiwan University, Taipei, Taiwan
Funder
Ministry of Science and Technology (MOST), Taiwan
Intelligent and Sustainable Medical Electronics Research Fund of National Taiwan University
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/4/9999561/09941187.pdf?arnumber=9941187
Reference30 articles.
1. SVM-Based System for Prediction of Epileptic Seizures From iEEG Signal
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5. 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
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