Why the study?
Does an automated quality-aware ECG beat classification method improve classification accuracy and reduce false alarms in ECG signals?
Does an automated quality-aware ECG beat classification method improve classification accuracy and reduce false alarms in ECG signals?
A novel automated quality-aware ECG beat classification method significantly reduces false alarms and improves classification accuracy in noisy ECG recordings.
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May enhance arrhythmia detection in unsupervised settings; leaves open prospective clinical validation.
Satija et al. (2018) studied this question.
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