Biomechanics Research Laboratory, Department of Mechanical Engineering, Speed School of Engineering, University of Louisville, Louisville, KY, USA.
J Biomech. 2010 Aug 26;43(12):2381-93. doi: 10.1016/j.jbiomech.2010.04.021. Epub 2010 May 18.
The human finger contains tendon/ligament mechanisms essential for proper control. One mechanism couples the movements of the interphalangeal joints when the (unloaded) finger is flexed with active deep flexor. This study's aim was to accurately determine in a large finger sample the kinematics and variability of the coupled interphalangeal joint motions, for potential clinical and finger model validation applications. The data could also be applied to humanoid robotic hands. Sixty-eight fingers were measured in seventeen hands in nine subjects. Fingers exhibited great joint mobility variability, with passive proximal interphalangeal hyperextension ranging from zero to almost fifty degrees. Increased measurement accuracy was obtained by using marker frames to amplify finger segment motions. Gravitational forces on the marker frames were not found to invalidate measurements. The recorded interphalangeal joint trajectories were highly consistent, demonstrating the underlying coupling mechanism. The increased accuracy and large sample size allowed for evaluation of detailed trajectory variability, systematic differences between flexion and extension trajectories, and three trigger types, distinct from flexor tendon triggers, involving initial flexion deficits in either proximal or distal interphalangeal joint. The experimental methods, data and analysis should advance insight into normal and pathological finger biomechanics (e.g., swanneck deformities), and could help improve clinical differential diagnostics of trigger finger causes. The marker frame measuring method may be useful to quantify interphalangeal joints trajectories in surgical/rehabilitative outcome studies. The data as a whole provide the most comprehensive collection of interphalangeal joint trajectories for clinical reference and model validation known to us to date.
人类手指包含腱/韧带机制,这些机制对于正确控制至关重要。一种机制在(无负载)手指弯曲时与主动深部屈肌耦合指间关节的运动。本研究的目的是在大量手指样本中准确确定耦合指间关节运动的运动学和可变性,用于潜在的临床和手指模型验证应用。这些数据也可以应用于仿人机器人手。在九名受试者的十七只手中测量了 68 只手指。手指表现出很大的关节运动可变性,被动近侧指间关节过伸范围从零到近五十度。通过使用标记框架放大手指段运动,可以获得更高的测量精度。未发现标记框架上的重力对测量结果产生影响。记录的指间关节轨迹高度一致,证明了潜在的耦合机制。更高的准确性和更大的样本量允许评估详细的轨迹可变性、弯曲和伸展轨迹之间的系统差异,以及三种不同于屈肌腱触发的触发类型,涉及近端或远端指间关节的初始弯曲缺陷。实验方法、数据和分析应该有助于深入了解正常和病理手指生物力学(例如,斯旺内克畸形),并有助于改善扳机指病因的临床鉴别诊断。标记框架测量方法可能有助于量化手术/康复结果研究中的指间关节轨迹。总的来说,这些数据提供了迄今为止我们所知的最全面的指间关节轨迹集合,可用于临床参考和模型验证。