Nataraj Raviraj, Li Zong-Ming
a Departments of Biomedical Engineering , Orthopaedic Surgery, and Physical Medicine and Rehabilitation, Cleveland Clinic , Cleveland , OH , USA.
Comput Methods Biomech Biomed Engin. 2015;18(6):592-606. doi: 10.1080/10255842.2013.820722. Epub 2013 Aug 15.
This study presents methodology to determine joint moments of the digits of the hand during pinch function. This methodology incorporates steps to identify marker-based kinematic data defining aligned coordinate systems for individual digit segments and joint centre locations. The kinematic data are then transformed to a common reference frame along with the force data collected at pinch contact of a customised apparatus in three dimensions. These methods were demonstrated with a pilot investigation to examine the static joint moments occurring during two-digit oppositional precision pinch at a particular end point force level applied at the digit pads. Notable abduction joint moments at the proximal joints of both digits were observed, which implicate the role of respective intrinsic and extrinsic muscles in maintaining pinch grasp. Examining differences in joint moment results when substituting selected steps of this methodological approach suggested greater relative importance for joint centre identification and segment coordinate system alignment.
本研究提出了一种在捏取功能期间确定手部手指关节力矩的方法。该方法包括确定基于标记的运动学数据的步骤，这些数据定义了各个手指节段和关节中心位置的对齐坐标系。然后，将运动学数据与在定制设备的捏取接触时三维采集的力数据一起转换到一个公共参考系中。通过一项初步研究对这些方法进行了验证，该研究在手指垫施加特定端点力水平时，检查两指对向精确捏取过程中出现的静态关节力矩。在两个手指的近端关节处均观察到明显的外展关节力矩，这表明各自的内在和外在肌肉在维持捏取握持中发挥的作用。当替换该方法学方法的选定步骤时，检查关节力矩结果的差异表明关节中心识别和节段坐标系对齐具有更大的相对重要性。
