Esco Michael R, Flatt Andrew A, Nakamura Fábio Y
1Department of Kinesiology, University of Alabama, Tuscaloosa, Alabama; and 2Department of Physical Education, State University of Londrina, Londrina, Brazil.
J Strength Cond Res. 2017 Feb;31(2):380-385. doi: 10.1519/JSC.0000000000001519.
Esco, MR, Flatt, AA, and Nakamura, FY. Agreement between a smartphone pulse sensor application and electrocardiography for determining lnRMSSD. J Strength Cond Res 31(2): 380-385, 2017-The purpose of this study was to determine the agreement between a smartphone pulse finger sensor (SPFS) and electrocardiography (ECG) for determining ultra-short-term heart rate variability in 3 different positions. Thirty college-aged men (n = 15) and women (n = 15) volunteered to participate in this study. Sixty-second heart rate measures were simultaneously taken with the SPFS and ECG in supine, seated, and standing positions. The log transformed root mean square of successive R-R interval differences (lnRMSSD) was calculated from the SPFS and ECG. The lnRMSSD values were 81.5 ± 11.7 using ECG and 81.6 ± 11.3 using SPFS (p = 0.63, Cohen's d = 0.01) in the supine position, 76.5 ± 8.2 using ECG and 77.5 ± 8.2 using SPFS (p = 0.007, Cohen's d = 0.11) in the seated position, and 66.5 ± 9.2 using ECG and 67.8 ± 9.1 using SPFS (p < 0.001, Cohen's d = 0.15) in the standing position. The SPFS showed a possibly strong correlation to the ECG in all 3 positions (r values from 0.98 to 0.99). In addition, the limits of agreement (constant error ± 1.98 SD) were -0.13 ± 2.83 for the supine values, -0.94 ± 3.47 for the seated values, and -1.37 ± 3.56 for the standing values. The results of the study suggest good agreement between the SPFS and ECG for measuring lnRMSSD in supine, seated, and standing positions. Although significant differences were noted between the 2 methods in the seated and standing positions, the effect sizes were trivial.
埃斯科、MR、弗拉特、AA和中村、FY。智能手机脉搏传感器应用程序与心电图在测定lnRMSSD方面的一致性。《力量与体能研究杂志》31(2):380 - 385,2017年——本研究的目的是确定智能手机脉搏手指传感器（SPFS）与心电图（ECG）在三种不同体位下测定超短期心率变异性方面的一致性。30名大学生（男性15名，女性15名）自愿参与本研究。在仰卧位、坐位和站立位同时使用SPFS和ECG测量60秒心率。从SPFS和ECG计算连续R - R间期差值的对数转换均方根（lnRMSSD）。仰卧位时，使用ECG的lnRMSSD值为81.5±11.7，使用SPFS的为81.6±11.3（p = 0.63，科恩d值 = 0.01）；坐位时，使用ECG的为76.5±8.2，使用SPFS的为77.5±8.2（p = 0.007，科恩d值 = 0.11）；站立位时，使用ECG的为66.5±9.2，使用SPFS的为67.8±9.1（p < 0.001，科恩d值 = 0.15）。在所有三种体位下，SPFS与ECG均显示出可能很强的相关性（r值从0.98到0.99）。此外，一致性界限（恒定误差±1.98标准差）仰卧位值为 - 0.13±2.83，坐位值为 - 0.94±3.47，站立位值为 - 1.37±3.56。研究结果表明，在仰卧位、坐位和站立位测量lnRMSSD时，SPFS与ECG之间具有良好的一致性。尽管在坐位和站立位两种方法之间存在显著差异，但效应大小微不足道。
