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Challenges in the Classification of Cardiac Arrhythmias and Ischemia Using End-to-End Deep Learning and the Electrocardiogram: A Systematic Review

<b>Background</b>: Cardiac arrhythmias and ischemia are increasingly problematic worldwide because of their frequency, as well as the economic burden they confer. <b>Methods</b>: This research presents a systematic literature review (SLR), based on the PRISMA 2020 statement, that looks into the diff...

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Principais autores: Edgard Oporto, David Mauricio, Nelson Maculan, Giuliana Uribe
Formato: Artigo
Idioma:Inglês
Publicado em: MDPI AG 2026-01-01
Colecção:Diagnostics
Assuntos:
end-to-end deep learning
challenges
classification
arrhythmia
ischemia
electrocardiogram
Acesso em linha:https://www.mdpi.com/2075-4418/16/1/161
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