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http://dx.doi.org/10.9718/JBER.2018.39.2.87

Comparison of Smart Watch Based Pulse Rate Variability with Heart Rate Variability  

Kim, Changjin (Department of Biomedical Engineering, School of Electrical Engineering, University of Ulsan)
Woo, Jihwan (Department of Biomedical Engineering, School of Electrical Engineering, University of Ulsan)
Publication Information
Journal of Biomedical Engineering Research / v.39, no.2, 2018 , pp. 87-93 More about this Journal
Abstract
The measurement of Heart Rate Variability (HRV) using electrocardiogram (ECG) signals has been used to predict fatigue and stress levels in a clinical environment, yet, owing to the complexity of such ECG systems, a domestic, nonclinical monitoring of HRV has not been a practical possibility. Recently though, Pulse Rate Variability (PRV) has been studied as an alternative to HRV. In this study, we investigated the reliability of measuring PRV by means of a smartwatch. The PRV results were compared to HRV results in similar test conditions, i.e. those obtained under rapid and deep-breathing scenarios. From the results obtained, it transpires that the Bland-Altman ratio and cross-correlation coefficients between several PRV and HRV parameters were highly correlated, thus suggesting that the results of measuring PRV using a smartwatch can be used to predict HRV in nonclinical environments.
Keywords
heart rate variability; pulse rate variability; smart watch; short heart rate variability; deep breathing test;
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