Joint spatio-temporal features constrained self-supervised electrocardiogram representation learning
Author:
Funder
National Natural Science Foundation of China
Talent Program of Zhejiang Province
Publisher
Springer Science and Business Media LLC
Subject
Biomedical Engineering
Link
https://link.springer.com/content/pdf/10.1007/s13534-023-00329-0.pdf
Reference40 articles.
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3. Malik J, Devecioglu OC, Kiranyaz S, Ince T, Gabbouj M. Real-time patient-specific ECG classification by 1d self-operational neural networks. IEEE Trans Biomed Eng. 2021;69(5):1788–801.
4. Hammad M, Alkinani MH, Gupta B, El-Latif A, Ahmed A. Myocardial infarction detection based on deep neural network on imbalanced data. Multimedia Syst. 2022;28(4):1373–85.
5. Mu L, Liu H. Noninvasive electrocardiographic imaging with low-rank and non-local total variation regularization. Pattern Recognit Lett. 2020;138:106–114. https://doi.org/10.1016/j.patrec.2020.07.007.
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