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Updated: Feb 13, 2026

Calculating Heart Rate Variability from ECG Data from Youth with Cerebral Palsy During Active Video Game Sessions
Published on: June 5, 2019
Classic electrocardiogram-based and mobile technology derived approaches to heart rate variability are not equivalent
Przemyslaw Guzik1, Caroline Piekos1, Olivia Pierog1
1Department of Cardiology - Intensive Therapy, Poznan University of Medical Science, Poznan, Poland.
Abstract:
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 = 0.0378), while SDNN (p = 0.0001) and RMSSD (p = 0.0199) were smaller for the mobile approach.
Conclusions:
Measures of identical HRV parameters by ECG-based and mobile approaches are not equivalent.
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