Title Classic electrocardiogram-based and mobile technology derived approaches to heart rate variability are not equivalent.
Author Guzik, Przemyslaw; Piekos, Caroline; Pierog, Olivia; Fenech, Naiman; Krauze, Tomasz; Piskorski, Jaroslaw; Wykretowicz, Andrzej
Journal Int J Cardiol Publication Year/Month 2018-May
PMID 29544922 PMCID -N/A-
Affiliation + expend 1.Department of Cardiology - Intensive Therapy, Poznan University of Medical Science, Poznan, Poland. Electronic address: pguzik@ptkardio.pl.

We compared classic ECG-derived versus a mobile approach to heart rate variability (HRV) measurement. METHODS & RESULTS: 29 young adult healthy volunteers underwent a simultaneous recording of heart rate using an ECG and a chest heart rate monitor at supine rest, during mental stress and active standing. Mean RR interval, Standard Deviation of Normal-to-Normal (SDNN) of RR intervals, and Root Mean Square of the Successive Differences (RMSSD) between RR intervals were computed in 168 pairs of 5-minute epochs by in-house software on a PC (only sinus beats) and by mobile application "ELITEHRV" on a smartphone (no beat type identification). ECG analysis showed that 33.9% of the recordings contained at least one non-sinus beat or artefact, the mobile app did not report this. The mean RR intervals were significantly longer (p鈥?鈥?.0378), while SDNN (p鈥?鈥?.0001) and RMSSD (p鈥?鈥?.0199) were smaller for the mobile approach. CONCLUSIONS: Measures of identical HRV parameters by ECG-based and mobile approaches are not equivalent.

  • Copyright © 2023
    National Institute of Pathogen Biology, CAMS & PUMC, Bejing, China
    All rights reserved.