BioWAP: A Reconfigurable Biomedical AI Processor with Adaptive Processing for Co-Optimized Accuracy and Energy Efficiency
Author:
Affiliation:
1. University of Electronic Science and Technology of China,China
Funder
National Natural Science Foundation of China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10528947/10528954/10528956.pdf?arnumber=10528956
Reference27 articles.
1. A 1.06-$\mu$ W Smart ECG Processor in 65-nm CMOS for Real-Time Biometric Authentication and Personal Cardiac Monitoring
2. An ECG Delineation and Arrhythmia Classification System Using Slope Variation Measurement by Ternary Second-Order Delta Modulators for Wearable ECG Sensors
3. A 1.9-mW SVM Processor With On-Chip Active Learning for Epileptic Seizure Control
4. A DNN-Based Low Power ECG Co-Processor Architecture to Classify Cardiac Arrhythmia for Wearable Devices
5. An Energy-Efficient Cardiac Arrhythmia Classification Processor using Heartbeat Difference based Classification and Event-Driven Neural Network Computation with Adaptive Wake-Up
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