Validity of a Smartphone Application in Calculating Measures of Heart Rate Variability

• Published in: Sensors (Basel, Switzerland) Switzerland), 2022-12, Vol.22 (24), p.9883
• Main Authors: Himariotis, Andreas T, Coffey, Kyle F, Noel, Sabrina E, Cornell, David J
• Format: Article
• Language: English
• Subjects: artifact corrections; autonomic nervous system function; Data collection; Electrocardiogram; Electrocardiography; Female; Heart beat; Heart rate; Heart Rate - physiology; heart rate monitor; Humans; Male; Mobile Applications; Physiology; R–R interval data; Sitting Position; Smart phones; Smartphone; Smartphones; Software; Software packages; Supine position; Validity
• ISSN: 1424-8220; 1424-8220
• DOI: 10.3390/s22249883

The purpose of the current study was to determine the concurrent validity of the Elite HRV smartphone application when calculating heart rate variability (HRV) metrics in reference to an independent software criterion. A total of 5 minutes of R−R interval and natural log of root mean square of the successive differences (lnRMSSD) resting HRV data were simultaneously collected using two Polar H10 heart rate monitors (HRMs) in both the seated and supine positions from 22 participants (14 males, 8 females). One H10 HRM was paired with a Polar V800 watch and one with the Elite HRV application. When no artifact correction was applied, significant, but small, differences in the lnRMSSD data were observed between the software in the seated position (p = 0.022), and trivial and nonstatistically significant differences were observed in the supine position (p = 0.087). However, significant differences (p > 0.05) in the lnRMSSD data were no longer identifiable in either the seated or the supine positions when applying Very Low, Low, or Automatic artifact-correction filters. Additionally, excellent agreements (ICC3,1 = 0.938 − 0.998) and very strong to near-perfect (r = 0.889 − 0.997) relationships were observed throughout all correction levels. The Elite HRV smartphone application is a valid tool for calculating resting lnRMSSD HRV metrics.