Mirakhorlo M, Van Beek N, Wesseling M, Maas H, Veeger H E J, Jonkers I
Department of Human Movement Sciences, VU University, Amsterdam, the Netherlands.
Department of Human Movement Sciences, KU Leuven, Leuven, Belgium.
Comput Methods Biomech Biomed Engin. 2018 Jul;21(9):548-557. doi: 10.1080/10255842.2018.1490952. Epub 2018 Sep 26.
To improve our understanding on the neuromechanics of finger movements, a comprehensive musculoskeletal model is needed. The aim of this study was to build a musculoskeletal model of the hand and wrist, based on one consistent data set of the relevant anatomical parameters. We built and tested a model including the hand and wrist segments, as well as the muscles of the forearm and hand in OpenSim. In total, the model comprises 19 segments (with the carpal bones modeled as one segment) with 23 degrees of freedom and 43 muscles. All required anatomical input data, including bone masses and inertias, joint axis positions and orientations as well as muscle morphological parameters (i.e. PCSA, mass, optimal fiber length and tendon length) were obtained from one cadaver of which the data set was recently published. Model validity was investigated by first comparing computed muscle moment arms at the index finger metacarpophalangeal (MCP) joint and wrist joint to published reference values. Secondly, the muscle forces during pinching were computed using static optimization and compared to previously measured intraoperative reference values. Computed and measured moment arms of muscles at both index MCP and wrist showed high correlation coefficients ( = 0.88 averaged across all muscles) and modest root mean square deviation (RMSD = 23% averaged across all muscles). Computed extrinsic flexor forces of the index finger during index pinch task were within one standard deviation of previously measured - tendon forces. These results provide an indication of model validity for use in estimating muscle forces during static tasks.
为了增进我们对手指运动神经力学的理解，需要一个全面的肌肉骨骼模型。本研究的目的是基于一组一致的相关解剖学参数数据集，构建一个手和腕部的肌肉骨骼模型。我们在OpenSim中构建并测试了一个包括手部和腕部节段以及前臂和手部肌肉的模型。该模型总共包括19个节段（将腕骨建模为一个节段），具有23个自由度和43块肌肉。所有所需的解剖学输入数据，包括骨质量和惯性、关节轴位置和方向以及肌肉形态学参数（即生理横截面积、质量、最佳纤维长度和肌腱长度）均取自一具尸体，其数据集最近已发表。通过首先将食指掌指（MCP）关节和腕关节处计算得到的肌肉力臂与已发表的参考值进行比较，来研究模型的有效性。其次，使用静态优化计算捏取过程中的肌肉力，并与先前测量的术中参考值进行比较。食指MCP和腕部肌肉的计算力臂和测量力臂均显示出高相关系数（所有肌肉平均为 = 0.88）和适度的均方根偏差（RMSD = 所有肌肉平均为23%）。在食指捏取任务期间计算得到的食指外在屈肌力量在前述测量的肌腱力量的一个标准差范围内。这些结果为该模型在估计静态任务期间的肌肉力量方面的有效性提供了一个指标。
