Chen Ziyu, Franklin David W
Neuromuscular Diagnostics, Department Health and Sport Sciences, TUM School of Medicine and Health, Technical University of Munich, Munich, Germany; Munich Institute of Robotics and Machine Intelligence (MIRMI), Technical University of Munich, Munich, Germany.
Neuromuscular Diagnostics, Department Health and Sport Sciences, TUM School of Medicine and Health, Technical University of Munich, Munich, Germany; Munich Institute of Robotics and Machine Intelligence (MIRMI), Technical University of Munich, Munich, Germany; Munich Data Science Institute (MDSI), Technical University of Munich, Munich, Germany.
J Biomech. 2025 Apr;183:112621. doi: 10.1016/j.jbiomech.2025.112621. Epub 2025 Mar 15.
Joint moment is a prominent kinetic property in biomechanical investigations, whose pattern and magnitude reflect many characteristics of musculoskeletal motion and musculotendon biomechanics. Nonetheless, the relations of joint moment with joint angle and velocity are complicated, and it is often unclear how the kinetic capacity of each joint varies in different configurations. With common techniques in systematic review, we collected a total of 962 passive, isometric and isokinetic joint moment datasets based on human in vivo measurements from literature and visualized the major joint moment-angle and moment-velocity relations in the hip, knee, and ankle. The findings contribute to the analysis of musculoskeletal mechanics and providing reference regarding the experimental design for future moment measurement.
关节力矩是生物力学研究中一个突出的动力学特性,其模式和大小反映了肌肉骨骼运动和肌腱生物力学的许多特征。然而,关节力矩与关节角度和速度之间的关系很复杂,而且每个关节的动力学能力在不同配置下如何变化往往并不明确。通过系统评价中的常用技术,我们从文献中收集了总共962个基于人体活体测量的被动、等长和等速关节力矩数据集,并可视化了髋、膝和踝关节中主要的关节力矩-角度和力矩-速度关系。这些发现有助于肌肉骨骼力学分析,并为未来力矩测量的实验设计提供参考。