Why the study?
Analyzing the massive amounts of data collected from long-term ECG self-monitoring by wearables is time-consuming, making it advantageous to characterize data quality in advance to limit analysis to usable signals.
Developing real-time quality assessment for wearable ECG signals can limit analysis to usable data, saving time.
May enhance efficiency of wearable ECG analysis; leaves open prospective validation before clinical use.
The field of long-term ECG signals self-monitoring by wearable devices is swiftly developing. The analysis of massive amount of collected data is time consuming. It is advantageous to characterize data quality in advance and thereby limit consequent analysis to useable signals.
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Smital et al. (2020) studied this question.
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