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智能手机应用程序和胸带在运动员静息时记录 RR 间期的有效性。

Validity of a Smartphone Application and Chest Strap for Recording RR Intervals at Rest in Athletes.

出版信息

Int J Sports Physiol Perform. 2020 Mar 12;15(6):896-899. doi: 10.1123/ijspp.2019-0406. Print 2020 Jul 1.

Abstract

OBJECTIVE

To evaluate the accuracy of the smartphone application (app) HRV Expert (CardioMood) and a chest strap (H10 Polar) for recording R-R intervals compared with electrocardiogram (ECG).

METHODS

A total of 31 male recreational runners (age 36.1 [6.3] y) volunteered for this study. R-R intervals were recorded simultaneously by the smartphone app and ECG for 5 minutes to analyze heart-rate variability in both the supine and sitting positions. Time-domain indexes (heart rate, mean R-R, SD of RR intervals, count of successive normal R-R intervals differing by more than 50 ms, percentage of successive normal R-R intervals differing by more than 50 ms, and root mean square of successive differences between normal R-R intervals), frequency-domain indexes (low frequency, normalized low frequency, high frequency, normalized high frequency, low-frequency to high-frequency ratio, and very low frequency), and nonlinear indexes (SD of instantaneous beat-to-beat variability and long-term SD of continuous R-R intervals) were compared by unpaired t test, Pearson correlation, simple linear regression, and Bland-Altman plot to evaluate the agreement between the devices.

RESULTS

High similarity with P value varying between .97 and 1.0 in both positions was found. The correlation coefficient of the heart-rate-variability indexes was perfect (r = 1.0; P = .00) for all variables. The constant error, standard error of estimation, and limits of agreement between ECG and the smartphone app were considered small.

CONCLUSION

The smartphone app and chest strap provide excellent ECG compliance for all variables in the time domain, frequency domain, and nonlinear indexes, regardless of the assessed position. Therefore, the smartphone app replaces ECG for any heart-rate-variability analysis in runners.

摘要

目的

评估智能手机应用程序(应用)HRV Expert(CardioMood)和胸带(H10 Polar)记录 R-R 间期与心电图(ECG)相比的准确性。

方法

共有 31 名男性休闲跑步者(年龄 36.1[6.3]岁)自愿参加本研究。智能手机应用程序和心电图同时记录 5 分钟的 R-R 间期,以分析仰卧位和坐位的心率变异性。时域指标(心率、平均 R-R、RR 间期标准差、连续正常 R-R 间期相差超过 50ms 的计数、连续正常 R-R 间期相差超过 50ms 的百分比以及正常 R-R 间期之间的均方根差)、频域指标(低频、归一化低频、高频、归一化高频、低频到高频比和极低频)和非线性指标(瞬时逐搏变异性的标准差和连续 R-R 间期的长期标准差)通过配对 t 检验、Pearson 相关、简单线性回归和 Bland-Altman 图进行比较,以评估设备之间的一致性。

结果

在两种体位下,P 值介于 0.97 和 1.0 之间,均具有高度相似性。所有变量的心率变异性指标的相关系数均为完美(r=1.0;P=0.00)。心电图和智能手机应用之间的常数误差、估计标准差和一致性界限被认为较小。

结论

智能手机应用程序和胸带在时域、频域和非线性指标方面提供了出色的心电图一致性,无论评估的体位如何。因此,智能手机应用程序可替代 ECG 进行跑步者的任何心率变异性分析。

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