Automatic arrhythmia recognition from electrocardiogram signals using different feature methods with long short-term memory network model
Author:
Publisher
Springer Science and Business Media LLC
Subject
Electrical and Electronic Engineering,Signal Processing
Link
http://link.springer.com/content/pdf/10.1007/s11760-020-01666-8.pdf
Reference46 articles.
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4. Sannino, G., De Pietro, G.: A deep learning approach for ECG-based heartbeat classification for arrhythmia detection. Future Gener. Comput. Syst. 86, 446–455 (2018)
5. Elhaj, F.A., et al.: Arrhythmia recognition and classification using combined linear and nonlinear features of ECG signals. Comput. Methods Programs Biomed. 127, 52–63 (2016)
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