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Learning Discriminative Representations of Superimposed P waves With Weakly-Supervised Temporal Contrastive Learning

2024-04-30

Abstract excerpt

Electrocardiography (ECG) wave morphology and timing provide critical information for diagnosing arrhythmias and conduction abnormalities, allowing risk stratification for various cardiac diseases. However, extraction of these features becomes challenging in the presence of superimposed waves from distinct cardiac chambers, a common occurrence during pathological rhythms. This work proposes a novel Surrogate-boost...

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Literature Corpus work
b751fdfb-95f3-53ac-99d9-03ce03d09fbf
DOI
10.1101/2024.04.28.591427
Open publication

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Learning Discriminative Representations of Superimposed P waves With Weakly-Supervised Temporal Contrastive LearningDOI 10.1101/2024.04.28.591427
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