Why the study?
Can an automated algorithm using signal quality indices and machine learning accurately detect poor-quality ECGs?
Can an automated algorithm using signal quality indices and machine learning accurately detect poor-quality ECGs?
An automated algorithm using signal quality metrics and machine learning can accurately identify clinically unacceptable ECGs with 97% accuracy on test data.
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May enable automated ECG quality screening in practice; leaves open need for prospective validation across settings.
Clifford et al. (2012) studied this question.
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