Combining deep neural networks and engineered features for cardiac arrhythmia detection from ECG recordings
Author:
Publisher
IOP Publishing
Subject
Physiology (medical),Biomedical Engineering,Physiology,Biophysics
Link
http://iopscience.iop.org/article/10.1088/1361-6579/ab15a2/pdf
Reference63 articles.
1. Wavelet transforms and the ECG: a review
2. 2017 AHA/ACC/HRS Guideline for Management of Patients With Ventricular Arrhythmias and the Prevention of Sudden Cardiac Death: Executive Summary
3. Optimal parameters study for sample entropy-based atrial fibrillation organization analysis
4. Comparing Feature Based Classifiers and Convolutional Neural Networks to Detect Arrhythmia from Short Segments of ECG
5. Robust electrocardiogram (ECG) beat classification using discrete wavelet transform
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