Multi-classification for Cardiac Arrhythmia Detection Using Deep Learning Approach-Reference-Cited by-同舟云学术

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Multi-classification for Cardiac Arrhythmia Detection Using Deep Learning Approach

Published:2021 Issue: Volume: Page:263-272
ISSN:2524-7565
Container-title:Machine Learning Technologies and Applications
language:
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Author:

Subhash P.,Sai Pathuri Goutam,Reddy Nalla Rohith,Pampati Anurag,Palavarapu Sai Keerthan

Publisher

Springer Singapore

Link

http://link.springer.com/content/pdf/10.1007/978-981-33-4046-6_26

Reference20 articles.

1. Sannino, G., De Pietro, G.: A deep learning approach for ECG-based heartbeat classification for arrhythmia detection. Future Generat Comput Syst 86 (2018)

2. Van Zaen, J., Chetelat, O., Lemay, M., Calvo, E.M., Delgado-Gonzalo, R.: Classification of cardiac arrhythmia from single lead ECG with a convolutional recurrent neural network. In: Proceedings of the International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC19) (2018)

3. Kim, J.-H., Seo, S.-Y., Song, C.-G., Kim, K.-S.: Assessment of electrocardiogram rhythms by GoogleNet deep neural network architecture. J. Healthcare Eng. (2019)

4. Roopa, C.K., Harish, B.S.: A survey on various machine learning approaches for ECG analysis. Int. J. Comput. Appl. 163 (2017)

5. Isin, A., Ozdalili, S.: Cardiac arrhythmia detection using deep learning. In: International Conference on Theory and Application of Soft Computing, Computing with in Words and Perception, ICSCCW (2017)

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Detection and classification of cardiac arrhythmia using artificial intelligence;International Journal of System Assurance Engineering and Management;2023-07-28

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