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用于测量跑步生物力学的可穿戴传感器的验证

Validation of a Wearable Sensor for Measuring Running Biomechanics.

作者信息

Koldenhoven Rachel M, Hertel Jay

机构信息

Department of Kinesiology, University of Virginia, Charlottesville, Virginia, USA.

出版信息

Digit Biomark. 2018 Aug 2;2(2):74-78. doi: 10.1159/000491645. eCollection 2018 May-Aug.

Abstract

BACKGROUND

Running biomechanics have traditionally been analyzed in laboratory settings, but this may not reflect natural running gait. Wearable sensors may offer an alternative.

METHODS

A concurrent validation study to determine agreement between the RunScribe wearable sensor (triaxial accelerometer and gyroscope) and the 3D motion capture system was conducted. Twelve injury-free participants (6 males, 6 females; age = 23.1 ± 5.5 years, weekly mileage = 16.1 ± 9.3) ran 1.5 miles on a treadmill. Ten consecutive strides from each limb were collected, and the mean values were analyzed. Pronation excursion, maximum pronation velocity, contact time, and cycle time were compared between measurement platforms using intraclass correlation coefficients (ICC) and Bland-Altman analyses.

RESULTS

Excellent ICC estimates were found for maximum pronation velocity, contact time, and cycle time. Pronation excursion demonstrated fair ICC estimates. The mean differences between platforms were small with limits of agreement clustered around zero, except for contact time measures which were consistently higher with the RunScribe compared to the camera-based system.

CONCLUSION

Our study revealed that the RunScribe wearable device showed good to excellent concurrent validity for maximum pronation velocity, contact time, and cycle time; however, direct comparisons or results between the two platforms should not be used.

摘要

背景

传统上跑步生物力学是在实验室环境中进行分析的,但这可能无法反映自然跑步步态。可穿戴传感器可能提供一种替代方法。

方法

进行了一项同步验证研究,以确定RunScribe可穿戴传感器(三轴加速度计和陀螺仪)与3D运动捕捉系统之间的一致性。12名无损伤参与者(6名男性,6名女性;年龄 = 23.1 ± 5.5岁,每周里程数 = 16.1 ± 9.3)在跑步机上跑1.5英里。收集每个肢体连续的十步,并分析平均值。使用组内相关系数(ICC)和布兰德 - 奥特曼分析比较测量平台之间的内旋偏移、最大内旋速度、接触时间和周期时间。

结果

对于最大内旋速度、接触时间和周期时间,发现了出色的ICC估计值。内旋偏移显示出中等的ICC估计值。除了接触时间测量外,平台之间的平均差异较小,一致性界限聚集在零附近,与基于摄像头的系统相比,RunScribe的接触时间测量值始终更高。

结论

我们的研究表明,RunScribe可穿戴设备在最大内旋速度、接触时间和周期时间方面显示出良好至出色的同步效度;然而,不应直接比较两个平台之间的结果。

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Validation of a Wearable Sensor for Measuring Running Biomechanics.用于测量跑步生物力学的可穿戴传感器的验证
Digit Biomark. 2018 Aug 2;2(2):74-78. doi: 10.1159/000491645. eCollection 2018 May-Aug.

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