College of Sports Science and Technology, Mahidol University, Salaya, NaKhon Pathom 73170, Thailand.
Brain and Behaviour Lab, Research Institute for Sport and Exercise Sciences, Liverpool John Moores University, Tom Reilly Building, Byrom Street, Liverpool L3 3AF, UK.
Sensors (Basel). 2020 Apr 29;20(9):2518. doi: 10.3390/s20092518.
Camera-based 3D motion analysis systems are considered to be the gold standard for movement analysis. However, using such equipment in a clinical setting is prohibitive due to the expense and time-consuming nature of data collection and analysis. Therefore, Inertial Measurement Units (IMUs) have been suggested as an alternative to measure movement in clinical settings. One area which is both important and challenging is the assessment of turning kinematics in individuals with movement disorders. This study aimed to validate the use of IMUs in the measurement of turning kinematics in healthy adults compared to a camera-based 3D motion analysis system. Data were collected from twelve participants using a Vicon motion analysis system which were compared with data from four IMUs placed on the forehead, middle thorax, and feet in order to determine accuracy and reliability. The results demonstrated that the IMU sensors produced reliable kinematic measures and showed excellent reliability (ICCs 0.80-0.98) and no significant differences were seen in paired -tests in all parameters when comparing the two systems. This suggests that the IMU sensors provide a viable alternative to camera-based motion capture that could be used in isolation to gather data from individuals with movement disorders in clinical settings and real-life situations.
基于相机的 3D 运动分析系统被认为是运动分析的金标准。然而，由于数据收集和分析的费用和耗时性质，在临床环境中使用这种设备是不可行的。因此，惯性测量单元（IMU）已被提议作为替代方法来测量临床环境中的运动。一个既重要又具有挑战性的领域是评估运动障碍患者的转弯运动学。本研究旨在验证 IMU 在测量健康成年人转弯运动学方面与基于相机的 3D 运动分析系统的比较。使用 Vicon 运动分析系统从 12 名参与者那里收集数据，并与放置在前额、中胸和脚上的四个 IMU 的数据进行比较，以确定准确性和可靠性。结果表明，IMU 传感器产生了可靠的运动学测量值，并且表现出优异的可靠性（ICC 0.80-0.98），在比较两个系统时，所有参数的配对检验均未见显著差异。这表明 IMU 传感器提供了一种可行的替代方案，可以在临床环境和现实生活中孤立地从运动障碍患者中收集数据，而无需使用基于相机的运动捕捉。
