Schams Peter, Feodoroff Boris, Zacher Jonas, Eibl Angi, Froböse Ingo
Institute of Movement Therapy and Movement-oriented Prevention and Rehabilitation Sciences, German Sport University, Cologne, Germany.
Institute of Cardiology and Sports Medicine; German Sport University, Cologne, Germany.
Clin Physiol Funct Imaging. 2022 May;42(3):190-199. doi: 10.1111/cpf.12746. Epub 2022 Mar 28.
Heart rate variability (HRV) monitoring is a promising option to estimate the autonomic nervous system regulation responding to exercise. Textiles with embedded sensors recording heartbeat intervals are a simple tool for data collection. The so-called smart shirts offer comfort for daily use and are managed easily. Their measurement accuracy for HRV calculation at rest is promising, but remains questionable during exercise. Therefore, the present study validated the Ambiotex smart shirt using HRV indices (root mean square of successive differences, rel. HF power [high-frequency power percentage of total power] and rel. LF [low-frequency power percentage of total power] power) during exercise. Eighty-three healthy participants (31 ± 6 years; 39 females, 44 males) completed an incremental exercise test on a bicycle ergometer wearing the smart shirt and an electrocardiogram simultaneously. We compared HRV indices of segments at rest (5 min), at warm-up (3 min) and twice at the exercise test (each 5 min). At rest and at warm-up, we observed excellent linear relationship (r > 0.96; R > 0.94), excellent relative reliability (intraclass correlation coefficient ≥ 0.98; α ≥ 0.98) and acceptable agreement (bias < 10%). During the exercise test, measurement accuracy declined with increasing intensity but remained high (>0.8), although results for partial HRV indices were insufficient. In addition, percentage bias was unacceptable during an exercise test. However, the findings support the validity of the smart shirt for measuring HRV, especially at rest and at warm-up. We suggest using the smart shirt for monitoring HRV indices on a daily basis, but caution should be taken in the interpretation of HRV indices obtained during moderate to vigorous exercise intensities.
心率变异性(HRV)监测是评估自主神经系统对运动反应调节的一种有前景的方法。带有嵌入式传感器记录心跳间期的纺织品是一种简单的数据收集工具。所谓的智能衬衫为日常使用提供了舒适感且易于管理。它们在静息状态下计算HRV的测量准确性很有前景,但在运动过程中仍存在疑问。因此,本研究使用HRV指标(连续差值的均方根、相对高频功率[总功率的高频功率百分比]和相对低频[总功率的低频功率百分比]功率)在运动期间验证了Ambiotex智能衬衫。83名健康参与者(31±6岁;39名女性,44名男性)穿着智能衬衫并同时进行心电图检查,在自行车测力计上完成了递增运动试验。我们比较了静息(5分钟)、热身(3分钟)和运动试验两次(每次5分钟)各时段的HRV指标。在静息和热身时,我们观察到了极佳的线性关系(r>0.96;R>0.94)、极佳的相对可靠性(组内相关系数≥0.98;α≥0.98)和可接受的一致性(偏差<10%)。在运动试验期间,测量准确性随着强度增加而下降,但尽管部分HRV指标的结果不充分,其仍保持较高水平(>0.8)。此外,在运动试验期间百分比偏差是不可接受的。然而,这些发现支持了智能衬衫用于测量HRV的有效性,尤其是在静息和热身时。我们建议日常使用智能衬衫监测HRV指标,但在解释中度至剧烈运动强度期间获得的HRV指标时应谨慎。