A two-step method for paroxysmal atrial fibrillation event detection based on machine learning

DOI10.3934/MBE.2022460OpenAlexW4285061714MaRDI QIDQ2688730

Aiguo Wang, Haijun Jia, Cuiwei Yang, Chunpu Li, Xintao Deng, Sen Liu, Ya-Nan Wang

Publication date: 5 March 2023

Published in: Mathematical Biosciences and Engineering (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.3934/mbe.2022460

zbMATH Keywords

machine learningtwo-step methodatrial fibrillation event detectionphased trainingRR intervals

Mathematics Subject Classification ID

Artificial neural networks and deep learning (68T07) Pathology, pathophysiology (92C32)

Cites Work

• Survival prediction among heart patients using machine learning techniques

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