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

被引:3
|
作者
Himariotis, Andreas T. [1 ,2 ]
Coffey, Kyle F. [1 ,2 ]
Noel, Sabrina E. [1 ,3 ]
Cornell, David J. [1 ,2 ]
机构
[1] Univ Massachusetts Lowell, Hlth Assessment Lab, Lowell, MA 01854 USA
[2] Univ Massachusetts Lowell, Dept Phys Therapy & Kinesiol, Lowell, MA 01854 USA
[3] Univ Massachusetts Lowell, Dept Biomed & Nutr Sci, Lowell, MA 01854 USA
关键词
heart rate monitor; autonomic nervous system function; R-R interval data; artifact corrections; CORRELATION-COEFFICIENTS; TRAINING ADAPTATION; TIME-DOMAIN; RELIABILITY; STATISTICS; RESPONSES; HRV;
D O I
10.3390/s22249883
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
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.
引用
收藏
页数:16
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