Department of Technology, Xsens Technologies B.V., Enschede 7521 PR, The Netherlands.
Department of Biomedical Signals and Systems, Technical Medical Centre, University of Twente, Enschede 7500 AE, The Netherlands.
Sensors (Basel). 2019 Apr 9;19(7):1681. doi: 10.3390/s19071681.
Knee osteoarthritis is a major cause of pain and disability in the elderly population with many daily living activities being difficult to perform as a result of this disease. The present study aimed to estimate the knee adduction moment and tibiofemoral joint contact force during daily living activities using a musculoskeletal model with inertial motion capture derived kinematics in an elderly population. Eight elderly participants were instrumented with 17 inertial measurement units, as well as 53 opto-reflective markers affixed to anatomical landmarks. Participants performed stair ascent, stair descent, and sit-to-stand movements while both motion capture methods were synchronously recorded. A musculoskeletal model containing 39 degrees-of-freedom was used to estimate the knee adduction moment and tibiofemoral joint contact force. Strong to excellent Pearson correlation coefficients were found for the IMC-derived kinematics across the daily living tasks with root mean square errors (RMSE) between 3° and 7°. Furthermore, moderate to strong Pearson correlation coefficients were found in the knee adduction moment and tibiofemoral joint contact forces with RMSE between 0.006⁻0.014 body weight × body height and 0.4 to 1 body weights, respectively. These findings demonstrate that inertial motion capture may be used to estimate knee adduction moments and tibiofemoral contact forces with comparable accuracy to optical motion capture.
膝关节骨关节炎是导致老年人群体疼痛和残疾的主要原因，许多日常活动由于这种疾病而难以进行。本研究旨在使用包含惯性运动捕捉得出的运动学的肌肉骨骼模型来估计老年人日常活动中的膝关节内收力矩和胫骨股骨关节接触力。 8 名老年参与者被配备了 17 个惯性测量单元以及 53 个粘贴在解剖学标志上的光学反射标记。参与者在进行楼梯上升、楼梯下降和坐站运动时，同时记录了这两种运动捕捉方法的同步记录。使用包含 39 个自由度的肌肉骨骼模型来估计膝关节内收力矩和胫骨股骨关节接触力。在日常活动任务中，IMC 衍生的运动学具有很强到极好的皮尔逊相关系数，均方根误差（RMSE）在 3°到 7°之间。此外，在膝关节内收力矩和胫骨股骨关节接触力方面也发现了中等到很强的皮尔逊相关系数，RMSE 分别在 0.006⁻0.014 体重×身高和 0.4 到 1 体重之间。这些发现表明，惯性运动捕捉可以用于估计膝关节内收力矩和胫骨股骨接触力，其准确性可与光学运动捕捉相媲美。
