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Machine Learning (1370) Digital Health Reviews (1174) Decision Support for Health Professionals (1127) Electronic Health Records (961)

Published on in Vol 10, No 8 (2022): August

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/38454, first published .
State-of-the-Art Deep Learning Methods on Electrocardiogram Data: Systematic Review

State-of-the-Art Deep Learning Methods on Electrocardiogram Data: Systematic Review

State-of-the-Art Deep Learning Methods on Electrocardiogram Data: Systematic Review

Authors of this article:

Georgios Petmezas1 Author Orcid Image ;   Leandros Stefanopoulos1 Author Orcid Image ;   Vassilis Kilintzis1 Author Orcid Image ;   Andreas Tzavelis2 Author Orcid Image ;   John A Rogers3 Author Orcid Image ;   Aggelos K Katsaggelos4 Author Orcid Image ;   Nicos Maglaveras1 Author Orcid Image
Article Authors Cited by (19) Tweetations (4) Metrics

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  15. Petmezas G, Papageorgiou V, Vassilikos V, Pagourelias E, Tsaklidis G, Katsaggelos A, Maglaveras N. Recent advancements and applications of deep learning in heart failure: Α systematic review. Computers in Biology and Medicine 2024;176:108557 View
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  17. Nolin Lapalme A, Corbin D, Tastet O, Avram R, Hussin J. Advancing Fairness in Cardiac Care: Strategies for Mitigating Bias in Artificial Intelligence Models within Cardiology. Canadian Journal of Cardiology 2024 View
  18. Kumar P, S. V, Awasthi H, Khan I, Singh R, Sharma V, Pramanik C, Goel S. Shellac-mediated laser-induced reduced graphene oxide film on paper and fabric: exceptional performance in flexible fuel cell, supercapacitor and electrocardiography applications. Materials Advances 2024 View