Mechanical Engineering Department, Izmir Institute of Technology (IZTECH), Urla, Izmir, Turkey.
Biomed Tech (Berl). 2022 May 16;67(3):185-199. doi: 10.1515/bmt-2021-0429. Print 2022 Jun 27.
Extracting data from {Zhu, 2019 #5} daily life activities is important in biomechanical applications to define exact boundary conditions for the intended use-based applications. Although optoelectronic camera-marker based systems are used as gold standard tools for medical applications, due to line-of-sight problem, there is a need for wearable, affordable motion capture (MOCAP) systems. We investigate the potential use of a wearable inertial measurement unit (IMU) based-wearable MOCAP system for biomechanical applications. The proof of concept is provided for the full lower body consisting of hip, knee, and ankle joints via controlled single-plane anatomical range of motion (ROM) simulations using an electrical motor, while collecting data simultaneously via opto-electronic markers and IMU sensors. On 15 healthy volunteers the flexion-extension, abduction-adduction, internal-external rotation (ROM) values of hip and, the flexion - extension ROM values of the knee and ankle joints are calculated for both systems. The Bland-Altman graphs showed promising agreement both for and experiments. The maximum Root Mean Square Errors (RMSE) between the systems was 3.4° for hip and 5.9° for knee flexion motion , respectively. The gait data of the volunteers were assessed between the heel strike and toe off events to investigate the limits of agreement, calculating the population averages and standard deviation for both systems over the gait cycle. The maximum difference was for the ankle joint <6°. The results show that proposed system could be an option as an affordable-democratic solution.
从 {Zhu, 2019 #5} 的日常生活活动中提取数据在生物力学应用中很重要,可用于定义特定应用的精确边界条件。尽管基于光电摄像仪-标记的系统被用作医学应用的金标准工具,但由于视线问题,需要可穿戴的、经济实惠的运动捕捉(MOCAP)系统。我们研究了基于可穿戴惯性测量单元(IMU)的可穿戴 MOCAP 系统在生物力学应用中的潜在用途。通过使用电子马达进行受控的单平面解剖运动范围(ROM)模拟,为完整的下肢(包括髋关节、膝关节和踝关节)提供了概念验证,同时通过光电标记和 IMU 传感器进行数据采集。在 15 名健康志愿者中,同时针对两种系统,计算了髋关节的屈伸、外展内收、内外旋转(ROM)值,以及膝关节和踝关节的屈伸 ROM 值。Bland-Altman 图显示两种系统的结果均具有良好的一致性。对于髋关节和膝关节的屈伸运动,两种系统之间的最大均方根误差(RMSE)分别为 3.4°和 5.9°。对志愿者的步态数据进行评估,分析足跟触地和足趾离地事件之间的一致性,计算两种系统在整个步态周期的人群平均值和标准差。最大差异为踝关节<6°。结果表明,所提出的系统可以作为一种经济实惠、民主的解决方案。