DeepCardio—Cardiac Arrhythmia Detection with a Neural Network
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Author
Van Zaen, Jérôme
Chételat, Olivier
Lemay, Mathieu
Muntané Calvo, Enric
Delgado-Gonzalo, Ricard
DOI
Abstract
Monitoring cardiac arrhythmias over long periods of time is a resource-intensive task as a specialist needs to review ECG signals. Methods for automatic detection can help to reduce the time needed to review the data by selecting interesting segments. However, these methods need to be accurate to avoid erroneous detections. We trained a neural network model to detect arrhythmias from a single-lead ECG signal and applied it to data collected with a smart vest previously developed at CSEM. The results are promising for screening cardiac arrhythmias in large populations.
Publication Reference
CSEM Scientific and Technical Report 2019, p. 97
Year
2019