School of Public Health, Physiotherapy and Sports Science, University College Dublin, D04V1W8 Dublin, Ireland.
Insight SFI Research Centre for Data Analytics, University College Dublin, D04V1W8 Dublin, Ireland.
Sensors (Basel). 2024 Sep 26;24(19):6220. doi: 10.3390/s24196220.
The widespread use of wearable devices has enabled continuous monitoring of biometric data, including heart rate variability (HRV) and resting heart rate (RHR). However, the validity of these measurements, particularly from consumer devices like Apple Watch, remains underexplored. This study aimed to validate HRV measurements obtained from Apple Watch Series 9 and Ultra 2 against the Polar H10 chest strap paired with the Kubios HRV software, which together served as the reference standard. A prospective cohort of 39 healthy adults provided 316 HRV measurements over a 14-day period. Generalized Estimating Equations were used to assess the difference in HRV between devices, accounting for repeated measures. Apple Watch tended to underestimate HRV by an average of 8.31 ms compared to the Polar H10 ( = 0.025), with a mean absolute percentage error (MAPE) of 28.88% and a mean absolute error (MAE) of 20.46 ms. The study found no significant impact of RHR discrepancies on HRV differences ( = 0.156), with RHR showing a mean difference of -0.08 bpm, an MAPE of 5.91%, and an MAE of 3.73 bpm. Equivalence testing indicated that the HRV measurements from Apple Watch did not fall within the pre-specified equivalence margin of ±10 ms. Despite accurate RHR measurements, these findings underscore the need for improved HRV algorithms in consumer wearables and caution in interpreting HRV data for clinical or performance monitoring.
可穿戴设备的广泛应用使得连续监测生物特征数据(包括心率变异性[HRV]和静息心率[RHR])成为可能。然而,这些测量方法的有效性,特别是来自 Apple Watch 等消费类设备的测量方法,仍未得到充分探索。本研究旨在验证 Apple Watch Series 9 和 Ultra 2 从心率变异性测量与 Polar H10 胸带与 Kubios HRV 软件配对获得的结果,后者作为参考标准。一项前瞻性队列研究纳入了 39 名健康成年人,在 14 天内提供了 316 次 HRV 测量。广义估计方程用于评估设备间 HRV 的差异,同时考虑了重复测量。与 Polar H10 相比,Apple Watch 平均低估 HRV 8.31ms( = 0.025),平均绝对百分比误差(MAPE)为 28.88%,平均绝对误差(MAE)为 20.46ms。研究发现,RHR 差异对 HRV 差异没有显著影响( = 0.156),RHR 的平均差异为-0.08bpm,MAPE 为 5.91%,MAE 为 3.73bpm。等效性检验表明,Apple Watch 的 HRV 测量结果不在预先指定的±10ms 等效范围内。尽管 RHR 测量准确,但这些发现强调了需要在消费者可穿戴设备中改进 HRV 算法,并在进行临床或性能监测时谨慎解释 HRV 数据。