Shirley Ryan AbilityLab, Chicago, IL, United States.
Shirley Ryan AbilityLab, Chicago, IL, United States; Department of Biomedical Engineering, Northwestern University, Evanston, IL, United States; Department of Physical Medicine & Rehabilitation, Northwestern University Feinberg School of Medicine, Chicago, IL, United States; Department of Physical Therapy and Human Movement Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL, United States; Edward Hines, Jr. VA Hospital, Hines, IL, United States.
J Biomech. 2018 Aug 22;77:206-210. doi: 10.1016/j.jbiomech.2018.06.017. Epub 2018 Jun 25.
Modeling of the human hand provides insight for explaining deficits and planning treatment following injury. Creation of a dynamic model, however, is complicated by the actions of multi-articular tendons and their complex interactions with other soft tissues in the hand. This study explores the creation of a musculoskeletal model, including the thumb and index finger, to explore the effects of muscle activation deficits. The OpenSim model utilizes physiological axes of rotation at all joints, passive joint torques, and appropriate moment arms. The model was validated through comparison with kinematic and kinetic experimental data. Simulated fingertip forces resulting from modeled musculotendon loading largely fell within one standard deviation of experimental ranges for most index finger and thumb muscles, although agreement in the sagittal plane was generally better than for the coronal plane. Input of experimentally obtained electromyography data produced the expected simulated finger and thumb motion. Use of the model to predict the effects of activation deficits on pinch force production revealed that the intrinsic muscles, especially first dorsal interosseous (FDI) and adductor pollicis (ADP), had a substantial impact on the resulting fingertip force. Reducing FDI activation, such as might occur following stroke, altered fingertip force direction by up to 83° for production of a dorsal fingertip force; reducing ADP activation reduced force production in the thumb by up to 62%. This validated model can provide a means for evaluating clinical interventions.
人手模型为解释损伤后的功能障碍和治疗计划提供了深入的了解。然而,由于多关节肌腱的作用及其与手部其他软组织的复杂相互作用,动态模型的创建变得复杂。本研究探索了创建一个包含拇指和食指的骨骼肌肉模型,以探索肌肉激活缺陷的影响。OpenSim 模型在所有关节使用生理旋转轴、被动关节扭矩和适当的力臂。该模型通过与运动学和动力学实验数据的比较进行了验证。模拟指尖力的结果很大程度上符合实验范围的一个标准差,大多数食指和拇指肌肉都是如此,尽管矢状面的一致性通常优于冠状面。使用实验获得的肌电图数据输入产生了预期的模拟手指和拇指运动。使用该模型预测激活缺陷对捏力产生的影响表明,内在肌肉,特别是第一背侧骨间肌(FDI)和拇指内收肌(ADP),对手指的最终力有很大的影响。例如,中风后 FDI 激活的减少会导致指尖力方向发生高达 83°的变化,以产生背侧指尖力;ADP 激活的减少会导致拇指的力产生减少高达 62%。这个经过验证的模型可以为评估临床干预措施提供一种手段。