Classification of normal sinus rhythm, abnormal arrhythmia and congestive heart failure ECG signals using LSTM and hybrid CNN-SVM deep neural networks
Author:
Affiliation:
1. Faculty of Engineering, Computer Engineering, Fırat University, Elazığ, Turkey
2. Faculty of Engineering, Software Engineering, Fırat University, Elazığ, Turkey
Publisher
Informa UK Limited
Subject
Computer Science Applications,Human-Computer Interaction,Biomedical Engineering,General Medicine,Bioengineering
Link
https://www.tandfonline.com/doi/pdf/10.1080/10255842.2020.1821192
Reference30 articles.
1. Analysis and classification of heart diseases using heartbeat features and machine learning algorithms
2. Survival of patients with severe congestive heart failure treated with oral milrinone
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4. Automated arrhythmia classification based on a combination network of CNN and LSTM
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