Jahn Johanna, Janes William E, Saheb-Al-Zamani Maryam, Burbank Caitlin M, Brown Justin M, Engsberg Jack R
Program in Occupational Therapy, Washington University School of Medicine, Campus Box 8505, 4444 Forest Park Avenue, St. Louis, MO 63108 USA.
Washington University School of Medicine, 660 South Euclid Street, St. Louis, MO 63108 USA.
Hand (N Y). 2013 Jun;8(2):123-31. doi: 10.1007/s11552-013-9517-6.
Hand injuries affect a person's ability to engage successfully in activities of daily living (ADLs). Video motion capture (VMC) facilitates measurement of dynamic movement. No study to date has used VMC as a means of quantifying the simultaneous movement patterns of all joints of all digits of the hand during active purposeful movement.
The purpose of this study was to analyze all joints of all five digits during active completion of the lateral and pulp pinches. VMC data were collected from four participants during completion of two pinches. Joint angles were plotted to facilitate identification of movement patterns.
Range of motion recorded in all joints with VMC, excluding flexion of the thumb carpometacarpal of both pinches, coincided with the normative goniometric data. Three phases were observed: initiation, preshaping, and pinch phases. Patterns of movement in all digits were identified for the two pinches.
VMC is a feasible and valid method for objectively quantifying dynamic movement of multiple joints simultaneously. The results provide new insight to the dynamics of hand movement as well as a basis for subsequent evaluations of movement patterns performed in ADLs and instrumental ADLs.
手部损伤会影响一个人成功参与日常生活活动(ADL)的能力。视频动作捕捉(VMC)有助于动态运动的测量。迄今为止,尚无研究将VMC用作量化手部所有手指的所有关节在有目的主动运动期间的同步运动模式的手段。
本研究的目的是分析在主动完成侧捏和指腹捏时五个手指的所有关节。在完成两次捏取动作时,从四名参与者收集VMC数据。绘制关节角度以便于识别运动模式。
使用VMC记录的所有关节的运动范围,不包括两次捏取动作中拇指掌指关节的屈曲,与标准测角数据一致。观察到三个阶段:起始阶段、预塑形阶段和捏取阶段。确定了两次捏取动作中所有手指的运动模式。
VMC是一种客观量化多个关节同时动态运动的可行且有效的方法。研究结果为手部运动动力学提供了新的见解,并为后续评估ADL和工具性ADL中的运动模式提供了基础。