Application of deep learning techniques for heartbeats detection using ECG signals-analysis and review
Author:
Publisher
Elsevier BV
Subject
Health Informatics,Computer Science Applications
Reference70 articles.
1. ECG arrhythmia classification using STFT-based spectrogram and convolutional neural network;Huang;IEEE Access,2019
2. Integration of independent component analysis and neural networks for ECG beat classification;Yu;Expert Syst. Appl.,2008
3. Multi-class Arrhythmia detection from 12-lead varied-length ECG using attention-based time-incremental convolutional neural network;Yao;Inf. Fusion,2020
4. Cardiologist-level arrhythmia detection and classification in ambulatory electrocardiograms using a deep neural network;Hannun;Nat. Med.,2019
5. A novel multi-module neural network system for imbalanced heartbeats classification;Jiang;Expert Syst. Appl. X,2019
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