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Detecting QT prolongation From a Single-lead ECG With Deep Learning

2023-12-24

Abstract excerpt

<h4>Background and Aims</h4> For a number of antiarrhythmics, drug loading requires a 3-day hospitalization with monitoring for QT-prolongation. Automated QT monitoring with wearable ECG monitors would facilitate out-of-hospital care. We aim to develop a deep learning model that infers QT intervals from ECG lead-I – the lead most often acquired from ambulatory ECG monitors – and we use this model to detect clinica...

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Literature Corpus work
87afda63-3815-5eac-819a-bf1a6a481bf8
DOI
10.1101/2023.12.21.23300388
Open publication

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Detecting QT prolongation From a Single-lead ECG With Deep LearningDOI 10.1101/2023.12.21.23300388
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