Real-time quality assessment of long-term ECG signals recorded by wearables
Developing real-time quality assessment for wearable ECG signals can limit analysis to usable data, saving time.
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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Lukáš Smital
Clifton R. Haider
Martin Vítek
IEEE Transactions on Biomedical Engineering
Brno University of Technology
St. Anne's University Hospital Brno
Czech Academy of Sciences, Institute of Scientific Instruments
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Smital et al. (Mon,) studied this question.
www.synapsesocial.com/papers/69dd54bb0644c7b49d40d001 — DOI: https://doi.org/10.1109/tbme.2020.2969719