Heart rate variability (HRV) is becoming one of the most commonly used tools for tracking the time course of training adaptation/maladaptation of athletes and setting optimal training loads, leading to improved performance. The aim of this study was to compare Realtrack Systems manufacturer software (sPRO) with the Kubios HRV Standard. R-R intervals were recorded from 48 athletes using a chest strap synchronized to WIMU PRO™ device for 10 min to analyze time-domain HRV indices, located between the scapulae. Time-domain HRV indices analyzed included the square root of the mean squared differences of successive R-R intervals (RMSSD), standard deviation of normal R-R intervals (SDNN), and percentage of adjacent R-R intervals that differ from each other by more than 50 ms (pNN50). The intraclass correlation test and Bland-Altman plot were used to verify the agreement between the sPRO and the Kubios HRV Standard software for examining time-domain HRV indices. The intraclass correlation coefficient showed high values of agreement of R-R intervals and time-domain HRV indices between the two software options (RMSSD, SDNN, and pNN50; ICC > 0.951). The Bland-Altman plot showed low bias for all the HRV indices analyzed (bias = −0.11 to −1.08). In addition, no systematic bias was found between the residual of the mean difference and the average values of the two software packages (p > 0.05). Therefore, both software options can be used interchangeably for analyzing time-domain HRV records.

心率变异性 (HRV) 正在成为最常用的工具之一，用于跟踪运动员的训练适应/适应不良的时间过程并设置最佳训练负荷，从而提高表现。本研究的目的是将 Realtrack Systems 制造商软件 (sPRO) 与 Kubios HRV 标准进行比较。使用与 WIMU PRO™ 设备同步的胸带 10 分钟记录 48 名运动员的 RR 间隔，以分析位于肩胛骨之间的时域 HRV 指数。分析的时域 HRV 指标包括连续 RR 间期均方差的平方根 (RMSSD)、正常 RR 间期的标准偏差 (SDNN) 以及相邻 RR 间期相差超过 50 ms 的百分比。 pNN50）。类内相关性测试和 Bland-Altman 图用于验证 sPRO 和 Kubios HRV 标准软件之间的一致性，用于检查时域 HRV 指数。组内相关系数显示两个软件选项（RMSSD、SDNN 和 pNN50；ICC > 0.951）之间的 RR 间隔和时域 HRV 指数的高一致性值。Bland-Altman 图显示所有分析的 HRV 指数的偏倚较低（偏倚 = -0.11 至 -1.08）。此外，平均差的残差与两个软件包的平均值之间没有发现系统偏差（组内相关系数显示两个软件选项（RMSSD、SDNN 和 pNN50；ICC > 0.951）之间的 RR 间隔和时域 HRV 指数的高一致性值。Bland-Altman 图显示所有分析的 HRV 指数的偏倚较低（偏倚 = -0.11 至 -1.08）。此外，平均差的残差与两个软件包的平均值之间没有发现系统偏差（组内相关系数显示两个软件选项（RMSSD、SDNN 和 pNN50；ICC > 0.951）之间的 RR 间隔和时域 HRV 指数的高一致性值。Bland-Altman 图显示所有分析的 HRV 指数的偏倚较低（偏倚 = -0.11 至 -1.08）。此外，平均差的残差与两个软件包的平均值之间没有发现系统偏差（p > 0.05）。因此，这两种软件选项可以互换使用，用于分析时域 HRV 记录。