Lightweight arrhythmia detection using cross-correlation
Author:
Affiliation:
1. North-Eastern Hill University,Department of Information Technology,Shillong,India,793022
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9781837/9781820/09781834.pdf?arnumber=9781834
Reference26 articles.
1. Heartbeat classification using projected and dynamic features of ECG signal
2. ECG Signal Preprocessing and SVM Classifier-Based Abnormality Detection in Remote Healthcare Applications
3. Arrhythmia detection using deep convolutional neural network with long duration ECG signals
4. ECG classification using three-level fusion of different feature descriptors
5. Automated ECG classification using dual heartbeat coupling based on convolutional neural network;zhai;Expert Systems with Applications,2018
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1. Multi-stream Bi-GRU network to extract a comprehensive feature set for ECG signal classification;Biomedical Signal Processing and Control;2024-06
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