Department of Mechanical Engineering, University of Michigan, Ann Arbor, MI 48109, USA.
Department of Electrical and Biomedical Engineering, University of Vermont, Burlington, VT 05405, USA.
Sensors (Basel). 2017 Aug 27;17(9):1970. doi: 10.3390/s17091970.
Three-dimensional rotations across the human knee serve as important markers of knee health and performance in multiple contexts including human mobility, worker safety and health, athletic performance, and warfighter performance. While knee rotations can be estimated using optical motion capture, that method is largely limited to the laboratory and small capture volumes. These limitations may be overcome by deploying wearable inertial measurement units (IMUs). The objective of this study is to present a new IMU-based method for estimating 3D knee rotations and to benchmark the accuracy of the results using an instrumented mechanical linkage. The method employs data from shank- and thigh-mounted IMUs and a vector constraint for the medial-lateral axis of the knee during periods when the knee joint functions predominantly as a hinge. The method is carefully validated using data from high precision optical encoders in a mechanism that replicates 3D knee rotations spanning (1) pure flexion/extension, (2) pure internal/external rotation, (3) pure abduction/adduction, and (4) combinations of all three rotations. Regardless of the movement type, the IMU-derived estimates of 3D knee rotations replicate the truth data with high confidence (RMS error < 4 ° and correlation coefficient r ≥ 0.94 ).
人体膝关节的三维旋转是膝关节健康和性能的重要标志,在包括人类移动性、工人安全和健康、运动表现和作战人员表现等多个领域都有应用。虽然可以使用光学运动捕捉来估计膝关节的旋转,但这种方法在很大程度上仅限于实验室和小的捕捉体积。这些限制可以通过部署可穿戴惯性测量单元 (IMU) 来克服。本研究的目的是提出一种新的基于 IMU 的方法来估计 3D 膝关节旋转,并使用仪器化机械连杆来对结果的准确性进行基准测试。该方法在膝关节主要作为铰链运动的时期,利用安装在小腿和大腿上的 IMU 数据和用于膝关节内外侧轴的向量约束来估计 3D 膝关节旋转。该方法使用高精度光学编码器在机制中进行了仔细验证,该机制复制了跨越 (1) 纯屈伸、(2) 纯内外旋、(3) 纯外展/内收和 (4) 所有三种旋转的组合的 3D 膝关节旋转。无论运动类型如何,IMU 衍生的 3D 膝关节旋转估计值都具有高度置信度(均方根误差 < 4°,相关系数 r ≥ 0.94),准确复制了真实数据。