Zhang Li, Li Hui, Wan Xianjie, Xu Peng, Zhu Aibin, Wei Pingping
Honghui Hospital, Xi'an Jiaotong University, Xi'an 710054, China.
Shaanxi Key Laboratory of Intelligent Robots, Institute of Robotics and Intelligent Systems, Xi'an Jiaotong University, Xi'an 710049, China.
Bioengineering (Basel). 2025 Feb 5;12(2):153. doi: 10.3390/bioengineering12020153.
The objective of this study was to develop a musculoskeletal model incorporated with a subject-specific knee joint to predict the tibiofemoral contact force (TFCF) during daily motions. For this purpose, 18 healthy participants were recruited to perform the motion data acquisition using synchronized motion capture and force platform systems, and motion simulation based on an improved musculoskeletal model for five daily activities, including normal walking, stair ascent, stair descent, sit-to-stand, and stand-to-sit. The proposed musculoskeletal model included subject-specific models of bones, cartilages, and meniscus, detailed knee ligaments and muscles, deformable elastic contacts, and multiple degrees of freedom (DOFs) of the knee joint. The prediction accuracy was demonstrated by the good agreements of TFCF curves between the model predictions and in vivo measurements for the five activities (RMSE: 0.2160.311 BW, R: 0.9280.992, and C: 0.048~0.141). Based on the validated model, the TFCF on total, medial, and lateral compartments (TFCF, TFCF, and TFCF) during the five daily activities were predicted. For TFCF, the peak force for stair descent or sit-to-stand was the largest, followed by stair ascent or stand-to-sit, and finally normal walking. For TFCF, stair descent had the largest peak, followed by stair ascent. There were no significant differences between the peak TFCF values of normal walking, sit-to-stand, and stand-to-sit. For TFCF, the peak of sit-to-stand was the largest, followed by stand-to-sit or stair descent, and finally normal walking or stair ascent. This study is valuable for further understanding the biomechanics of a healthy knee joint and providing theoretical guidance for the treatment of knee osteoarthritis (KOA).
本研究的目的是开发一种结合个体特异性膝关节的肌肉骨骼模型，以预测日常活动期间的胫股接触力（TFCF）。为此，招募了18名健康参与者，使用同步运动捕捉和力平台系统进行运动数据采集，并基于改进的肌肉骨骼模型对包括正常行走、上楼梯、下楼梯、从坐到站以及从站到坐在内的五项日常活动进行运动模拟。所提出的肌肉骨骼模型包括个体特异性的骨骼、软骨和半月板模型、详细的膝关节韧带和肌肉、可变形弹性接触以及膝关节的多个自由度（DOF）。通过模型预测与五项活动的体内测量结果之间TFCF曲线的良好一致性证明了预测准确性（均方根误差：0.2160.311体重，R：0.9280.992，C：0.048~0.141）。基于经过验证的模型，预测了五项日常活动期间总、内侧和外侧关节腔的TFCF（TFCF、TFCF和TFCF）。对于TFCF，下楼梯或从坐到站时的峰值力最大，其次是上楼梯或从站到坐，最后是正常行走。对于TFCF，下楼梯时的峰值最大，其次是上楼梯。正常行走、从坐到站和从站到坐的TFCF峰值之间没有显著差异。对于TFCF，从坐到站时的峰值最大，其次是从站到坐或下楼梯，最后是正常行走或上楼梯。本研究对于进一步了解健康膝关节的生物力学以及为膝关节骨关节炎（KOA）的治疗提供理论指导具有重要价值。
