ECG heartbeats classification with dilated convolutional autoencoder
Author:
Publisher
Springer Science and Business Media LLC
Subject
Electrical and Electronic Engineering,Signal Processing
Link
https://link.springer.com/content/pdf/10.1007/s11760-023-02737-2.pdf
Reference35 articles.
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3. Vijayakumar, V., Ummar, S., Varghese, T.J., Shibu, A.E.: ECG noise classification using deep learning with feature extraction. Signal Image Video Process. 16, 2287–2293 (2022). https://doi.org/10.1007/s11760-022-02194-3
4. Wang, X., Zhao, Y., Pourpanah, F.: Recent advances in deep learning. Int. J. Mach. Learn. Cybern. 11, 747–750 (2020). https://doi.org/10.1007/s13042-020-01096-5
5. Alzubaidi, L., Zhang, J., Humaidi, A.J., Al-Dujaili, A., Duan, Y., Al-Shamma, O., Santamaría, J., Fadhel, M.A., Al-Amidie, M., Farhan, L.: Review of deep learning: concepts, CNN architectures, challenges, applications, future directions. J Big Data. (2021). https://doi.org/10.1186/s40537-021-00444-8
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