Robust Arrhythmia Classification Based on QRS Detection and a Compact 1D-CNN for Wearable ECG Devices
Author:
Affiliation:
1. Electrical Engineering Department, Faculty of Engineering, Assiut University, Assiut, Egypt
2. Department of Micro-Nano Electronics, Shanghai Jiao Tong University, Shanghai, China
Funder
National Natural Science Foundation of China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Health Information Management,Electrical and Electronic Engineering,Computer Science Applications,Health Informatics
Link
http://xplorestaging.ieee.org/ielx7/6221020/9973412/09894659.pdf?arnumber=9894659
Reference43 articles.
1. ECG Beat Classification Based on Stationary Wavelet Transform
2. Simple real-time QRS detector with the MaMeMi filter
3. QRS detection using S-Transform and Shannon energy
4. A real-time QRS detection method based on moving-averaging incorporating with wavelet denoising
5. Robust QRS Detection Using High-Resolution Wavelet Packet Decomposition and Time-Attention Convolutional Neural Network
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