Why the study?
Does a machine learning algorithm based on the cross-covariance matrix among leads accurately estimate the quality of 12-lead ECG signals?
Population
1,998 standard 12-lead ECG recordings from the PhysioNet/CinC Challenge 2011 data collected using…
Authors
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Enables low-complexity ECG quality checks on mobile devices; leaves open prospective clinical validation before adoption.
Does a machine learning algorithm based on the cross-covariance matrix among leads accurately estimate the quality of 12-lead ECG signals?
A simple machine learning algorithm using the cross-covariance matrix of ECG leads can accurately classify ECG signal quality with low computational complexity, making it suitable for implementation in mobile devices.
Morgado et al. (2015) studied this question.
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