Usefulness of Machine Learning-Based Detection and Classification of Cardiac Arrhythmias With 12-Lead Electrocardiograms
Deep-learning algorithms to annotate electrocardiograms (ECGs) and classify different types of cardiac arrhythmias with the use of a single-lead ECG input data set have been developed. It remains to be determined whether these algorithms can be generalized to 12-lead ECG-based rhythm classification....
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Veröffentlicht in: | Canadian journal of cardiology 2021-01, Vol.37 (1), p.94-104 |
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Format: | Artikel |
Sprache: | eng |
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