An Ultra-Low Power Time-Domain based SNN Processor for ECG Classification
Author:
Affiliation:
1. University of Electronic Science and Technology of China,School of Information and Communication Engineering,Chengdu,China,611731
Funder
National Natural Science Foundation of China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10557746/10557828/10558014.pdf?arnumber=10558014
Reference20 articles.
1. A New Automated Signal Quality-Aware ECG Beat Classification Method for Unsupervised ECG Diagnosis Environments
2. Discrimination of EMG Signals Using a Neuromorphic Implementation of a Spiking Neural Network
3. The risk factors and prevention of cardiovascular disease: the importance of electrocardiogram in the diagnosis and treatment of acute coronary syndrome
4. A 1.06-$\mu$ W Smart ECG Processor in 65-nm CMOS for Real-Time Biometric Authentication and Personal Cardiac Monitoring
5. A 48.6-to-105.2 µW Machine Learning Assisted Cardiac Sensor SoC for Mobile Healthcare Applications
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