Department Sports and Exercise Medicine, Institute of Human Movement Science, University of Hamburg, 20148 Hamburg, Germany.
Institute of Interdisciplinary Exercise Science and Sports Medicine, MSH Medical School Hamburg, 20457 Hamburg, Germany.
Sensors (Basel). 2022 Aug 30;22(17):6536. doi: 10.3390/s22176536.
Heart rate variability (HRV) is frequently applied in sport-specific settings. The rising use of freely accessible applications for its recording requires validation processes to ensure accurate data. It is the aim of this study to compare the HRV data obtained by the Polar H10 sensor chest strap device and an electrocardiogram (ECG) with the focus on RR intervals and short-term scaling exponent alpha 1 of Detrended Fluctuation Analysis (DFA a1) as non-linear metric of HRV analysis. A group of 25 participants performed an exhaustive cycling ramp with measurements of HRV with both recording systems. Average time between heartbeats (RR), heart rate (HR) and DFA a1 were recorded before (PRE), during, and after (POST) the exercise test. High correlations were found for the resting conditions (PRE: r = 0.95, rc = 0.95, ICC3,1 = 0.95, POST: r = 0.86, rc = 0.84, ICC3,1 = 0.85) and for the incremental exercise (r > 0.93, rc > 0.93, ICC3,1 > 0.93). While PRE and POST comparisons revealed no differences, significant bias could be found during the exercise test for all variables (p < 0.001). For RR and HR, bias and limits of agreement (LoA) in the Bland−Altman analysis were minimal (RR: bias of 0.7 to 0.4 ms with LoA of 4.3 to −2.8 ms during low intensity and 1.3 to −0.5 ms during high intensity, HR: bias of −0.1 to −0.2 ms with LoA of 0.3 to −0.5 ms during low intensity and 0.4 to −0.7 ms during high intensity). DFA a1 showed wider bias and LoAs (bias of 0.9 to 8.6% with LoA of 11.6 to −9.9% during low intensity and 58.1 to −40.9% during high intensity). Linear HRV measurements derived from the Polar H10 chest strap device show strong agreement and small bias compared with ECG recordings and can be recommended for practitioners. However, with respect to DFA a1, values in the uncorrelated range and during higher exercise intensities tend to elicit higher bias and wider LoA.
心率变异性(HRV)在特定运动环境中经常被应用。由于自由获取记录应用程序的使用不断增加,因此需要验证过程来确保数据的准确性。本研究旨在比较 Polar H10 传感器胸带设备和心电图(ECG)获得的 HRV 数据,重点是 RR 间隔和短期标度指数 alpha 1 的去趋势波动分析(DFA a1)作为 HRV 分析的非线性指标。一组 25 名参与者进行了一项详尽的循环斜坡运动,使用两种记录系统测量 HRV。在运动测试前(PRE)、期间和之后(POST)记录平均心跳间隔(RR)、心率(HR)和 DFA a1。在休息状态下(PRE:r = 0.95,rc = 0.95,ICC3,1 = 0.95,POST:r = 0.86,rc = 0.84,ICC3,1 = 0.85)和递增运动中(r > 0.93,rc > 0.93,ICC3,1 > 0.93)发现了高度相关性。虽然 PRE 和 POST 比较没有发现差异,但在整个运动测试过程中,所有变量都存在显著偏差(p < 0.001)。对于 RR 和 HR,在 Bland-Altman 分析中,偏差和一致性界限(LoA)很小(RR:在低强度时,偏差为 0.7 至 0.4 ms,LoA 为 4.3 至-2.8 ms,在高强度时,偏差为 1.3 至-0.5 ms,HR:偏差为-0.1 至-0.2 ms,LoA 为 0.3 至-0.5 ms 在低强度时,0.4 至-0.7 ms 在高强度时)。DFA a1 显示出更大的偏差和 LoA(在低强度时,偏差为 0.9 至 8.6%,LoA 为 11.6 至-9.9%,在高强度时,偏差为 58.1 至-40.9%)。与 ECG 记录相比,源自 Polar H10 胸带设备的线性 HRV 测量具有较强的一致性和较小的偏差,因此可以推荐给从业者。然而,就 DFA a1 而言,在无相关范围和较高运动强度下,值往往会产生更高的偏差和更宽的 LoA。