Department of Industrial Engineering and Mathematical Sciences, Università Politecnica delle Marche, 60131 Ancona, Italy.
Sensors (Basel). 2022 Jun 23;22(13):4726. doi: 10.3390/s22134726.
Nowadays, the use of wearable devices is spreading in different fields of application, such as healthcare, digital health, and sports monitoring. In sport applications, the present trend is to continuously monitor the athletes' physiological parameters during training or competitions to maximize performance and support coaches. This paper aims to evaluate the performances in heart rate assessment, in terms of accuracy and precision, of both wrist-worn and chest-strap commercial devices used during swimming activity, considering a test population of 10 expert swimmers. Three devices were employed: Polar H10 cardiac belt, Polar Vantage V2, and Garmin Venu Sq smartwatches. The former was used as a reference device to validate the data measured by the two smartwatches. Tests were performed both in dry and wet conditions, considering walking/running on a treadmill and different swimming styles in water, respectively. The measurement accuracy and precision were evaluated through standard methods, i.e., Bland-Altman plot, analysis of deviations, and Pearson's correlation coefficient. Results show that both precision and accuracy worsen during swimming activity (with an absolute increase of the measurement deviation in the range of 13-56 bpm for mean value and 49-52 bpm for standard deviation), proving how water and arms movement act as relevant interference inputs. Moreover, it was found that wearable performance decreases when activity intensity increases, highlighting the need for specific research for wearable applications in water, with a particular focus on swimming-related sports activities.
如今,可穿戴设备在医疗保健、数字健康和运动监测等不同应用领域得到了广泛应用。在运动应用中,目前的趋势是在训练或比赛期间不断监测运动员的生理参数,以最大限度地提高表现并为教练提供支持。本文旨在评估在游泳活动中使用的腕戴式和胸带式商业设备在心率评估方面的性能,包括准确性和精密度,考虑到一个由 10 名专业游泳运动员组成的测试人群。使用了三种设备:Polar H10 心脏带、Polar Vantage V2 和 Garmin Venu Sq 智能手表。前一种设备被用作参考设备,以验证这两种智能手表测量的数据。在干、湿两种条件下进行了测试,分别考虑了在跑步机上行走/跑步和在水中不同的游泳姿势。通过标准方法评估了测量的准确性和精密度,即 Bland-Altman 图、偏差分析和 Pearson 相关系数。结果表明,在游泳活动中,精度和准确性都会变差(平均值的测量偏差绝对值增加 13-56 次/分,标准差增加 49-52 次/分),证明了水和手臂运动如何作为相关干扰输入。此外,还发现当活动强度增加时,可穿戴设备的性能会下降,这突出了在水中进行可穿戴应用研究的必要性,特别是针对与游泳相关的运动活动。