Binder-Markey Benjamin I, Murray Wendy M
Dept. of Biomedical Engineering, Northwestern University, Evanston, IL, USA; Dept. of Physical Therapy and Human Movement Sciences, Northwestern University, Chicago, IL, USA; Shirley Ryan AbilityLab (formerly Rehabilitation Institute of Chicago), Chicago, IL, USA.
Dept. of Biomedical Engineering, Northwestern University, Evanston, IL, USA; Dept. of Physical Therapy and Human Movement Sciences, Northwestern University, Chicago, IL, USA; Shirley Ryan AbilityLab (formerly Rehabilitation Institute of Chicago), Chicago, IL, USA; Edward Hines Jr., VA Hospital, Hines, IL, USA; Dept. of Physical Medicine & Rehabilitation, Northwestern University, Chicago, IL, USA.
J Biomech. 2017 Aug 16;61:250-257. doi: 10.1016/j.jbiomech.2017.06.026. Epub 2017 Jun 21.
Dynamic movement trajectories of low mass systems have been shown to be predominantly influenced by passive viscoelastic joint forces and torques compared to momentum and inertia. The hand is comprised of 27smallmass segments. Because of the influence of the extrinsic finger muscles, the passive torques about each finger joint become a complex function dependent on the posture of multiple joints of the distal upper limb. However, biomechanical models implemented for the dynamic simulation of hand movements generally don't extend proximally to include the wrist and distal upper limb. Thus, they cannot accurately represent these complex passive torques. The purpose of this short communication is to both describe a method to incorporate the length-dependent passive properties of the extrinsic index finger muscles into a biomechanical model of the upper limb and to demonstrate their influence on combined movement of the wrist and fingers. Leveraging a unique set of experimental data, that describes the net passive torque contributed by the extrinsic finger muscles about the metacarpophalangeal joint of the index finger as a function of both metacarpophalangeal and wrist postures, we simulated the length-dependent passive properties of the extrinsic finger muscles. Dynamic forward simulations demonstrate that a model including these properties passively exhibits coordinated movement between the wrist and finger joints, mimicking tenodesis, a behavior that is absent when the length-dependent properties are removed. This work emphasizes the importance of incorporating the length-dependent properties of the extrinsic finger muscles into biomechanical models to study healthy and impaired hand movements.
与动量和惯性相比,低质量系统的动态运动轨迹已被证明主要受被动粘弹性关节力和扭矩的影响。手由27个小质量节段组成。由于外在手指肌肉的影响,每个手指关节周围的被动扭矩成为一个复杂的函数,取决于上肢远端多个关节的姿势。然而,用于手部运动动态模拟的生物力学模型通常不会向近端扩展以包括手腕和上肢远端。因此,它们无法准确表示这些复杂的被动扭矩。本简短通讯的目的是描述一种将外在食指肌肉的长度依赖性被动特性纳入上肢生物力学模型的方法,并展示它们对手腕和手指联合运动的影响。利用一组独特的实验数据,该数据将外在手指肌肉在食指掌指关节周围产生的净被动扭矩描述为掌指关节和手腕姿势的函数,我们模拟了外在手指肌肉的长度依赖性被动特性。动态正向模拟表明,包含这些特性的模型会被动地展现手腕和手指关节之间的协调运动,模仿了肌腱固定术,而去除长度依赖性特性时这种行为就不存在了。这项工作强调了将外在手指肌肉的长度依赖性特性纳入生物力学模型以研究健康和受损手部运动的重要性。