Machine learning and the electrocardiogram over two decades: Time series and meta-analysis of the algorithms, evaluation metrics and applications-Reference-Cited by-同舟云学术

Machine learning and the electrocardiogram over two decades: Time series and meta-analysis of the algorithms, evaluation metrics and applications

Published:2022-10 Issue: Volume:132 Page:102381
ISSN:0933-3657
Container-title:Artificial Intelligence in Medicine
language:en
Short-container-title:Artificial Intelligence in Medicine

Author:

Rjoob Khaled,Bond Raymond,Finlay Dewar,McGilligan Victoria,Leslie Stephen J.,Rababah Ali,Iftikhar Aleeha,Guldenring Daniel,Knoery Charles,McShane Anne,Peace Aaron,Macfarlane Peter W.

Publisher

Elsevier BV

Subject

Artificial Intelligence,Medicine (miscellaneous)

Reference32 articles.

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2. The effects of electrode misplacement on clinicians' interpretation of the standard 12-lead electrocardiogram;Bond;Eur J Intern Med,2012

3. Optimal ECG Lead system for exercise assessment of ischemic heart disease;Kania;J Cardiovasc Transl Res,2019

4. ECG features and methods for automatic classification of ventricular premature and ischemic heartbeats: a comprehensive experimental study;Maršánová;Sci Rep,2017

5. Benchmarking deep learning models on large healthcare datasets;Purushotham;J Biomed Inform,2018

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