Centre for Applied Biomedical Engineering Research, Department of Mechanical, Aeronautical and Biomedical Engineering & Materials and Surface Science Institute, University of Limerick, Limerick, Ireland.
Appl Ergon. 2013 Jan;44(1):42-7. doi: 10.1016/j.apergo.2012.04.009. Epub 2012 May 16.
Computer activities have commonly been linked to the development of musculoskeletal disorders (MSDs) in the upper limbs. However, to understand the effects computer use has on such disorders, it is necessary to identify and classify the movements involved in performing common computer tasks, one of these being typing. Motion analysis techniques were adopted to determine the movements involved during a typing task. This involved markers being placed on the knuckles, wrists and forearms of participants. This marker configuration allowed for the flexion, extension, radial deviation, ulnar deviation and a combination of these movements to be calculated. The results in one plane of motion show a mean extension|flexion and radial|ulnar deviation of 18.825° ± 10.013° and 5.228° ± 11.703° respectively. The most common position in two planes of motion was 20° extension with a simultaneous 20° ulnar deviation (10.72%). The results depict an alternative method of categorizing wrist positions in two planes during computer use. Coincident wrist postures should be addressed as opposed to motion in a single plane as these postures may result in different ergonomic risk factors developing.
计算机活动通常与上肢肌肉骨骼疾病(MSD)的发展有关。然而,要了解计算机使用对这些疾病的影响,有必要识别和分类执行常见计算机任务(如打字)所涉及的动作。运动分析技术被用于确定打字任务中涉及的动作。这涉及在参与者的指关节、手腕和前臂上放置标记。这种标记配置允许计算弯曲、伸展、桡侧偏斜、尺侧偏斜以及这些运动的组合。一个运动平面上的结果显示,平均伸展/弯曲和桡侧/尺侧偏斜分别为 18.825°±10.013°和 5.228°±11.703°。两个运动平面中最常见的位置是 20°伸展和同时 20°尺侧偏斜(10.72%)。结果描绘了在计算机使用过程中在两个平面上分类手腕位置的另一种方法。应解决同时发生的手腕姿势,而不是单一平面的运动,因为这些姿势可能会导致不同的人体工程学风险因素的发展。