Department of Mechanical Engineering, Division RAM, M-Group, KU Leuven Campus Bruges, 8200 Bruges, Belgium.
Department of Rehabilitation Sciences, We-Lab for HTM, KU Leuven Campus Bruges, 8200 Bruges, Belgium.
Sensors (Basel). 2020 Mar 18;20(6):1683. doi: 10.3390/s20061683.
Traditional motion capture systems are the current standard in the assessment of knee joint kinematics. These systems are, however, very costly, complex to handle, and, in some conditions, fail to estimate the varus/valgus and internal/external rotation accurately due to the camera setup. This paper presents a novel and comprehensive method to infer the full relative motion of the knee joint, including the flexion/extension, varus/valgus, and internal/external rotation, using only low cost inertial measurement units (IMU) connected to the upper and lower leg. Furthermore, sensors can be placed arbitrarily and only require a short calibration, making it an easy-to-use and portable clinical analysis tool. The presented method yields both adequate results and displays the uncertainty band on those results to the user. The proposed method is based on an fixed interval smoother relying on a simple dynamic model of the legs and judicially chosen constraints to estimate the rigid body motion of the leg segments in a world reference frame. In this pilot study, benchmarking of the method on a calibrated robotic manipulator, serving as leg analogue, and comparison with camera-based techniques confirm the method's accurateness as an easy-to-implement, low-cost clinical tool.
传统的运动捕捉系统是目前评估膝关节运动学的标准。然而,这些系统非常昂贵,操作复杂,并且由于相机设置,在某些情况下无法准确估计内/外翻和内/外旋。本文提出了一种新颖而全面的方法,仅使用连接到大腿和小腿的低成本惯性测量单元 (IMU) 即可推断膝关节的全部相对运动,包括屈伸、内/外翻和内/外旋。此外,传感器可以任意放置,仅需要短时间的校准,使其成为一种易于使用和便携式的临床分析工具。所提出的方法不仅提供了足够的结果,还向用户显示了结果的不确定带。该方法基于固定间隔平滑器,该平滑器依赖于腿部的简单动力学模型和明智选择的约束条件,以在世界参考系中估计腿部段的刚体运动。在这项初步研究中,该方法在经过校准的机器人操纵器(作为腿部模拟)上进行基准测试,并与基于相机的技术进行比较,证实了该方法作为易于实现的低成本临床工具的准确性。