首页> 外文期刊>Journal of Biomechanics >Robot-based methodology for a kinematic and kinetic analysis of unconstrained, but reproducible upper extremity movement.
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Robot-based methodology for a kinematic and kinetic analysis of unconstrained, but reproducible upper extremity movement.

机译:基于机器人的方法学,可以对无限制但可重现的上肢运动进行运动学和动力学分析。

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摘要

Although arm movements play an important role in everyday life, there is still a lack of procedures for the analysis of upper extremity movement. The main problems for standardizing the procedure are the variety of arm movements and the difficult assessment of external hand forces. The first problem requires the predefinition of motions, and the second one is the prerequisite for calculation of net joint forces and torques arising during motion. A new methodology for measuring external forces during prespecified, reproducible upper extremity movement has been introduced and validated. A robot-arm has been used to define the motion and 6 degrees of freedom (DoF) force sensor has been attached to it for acquiring the external loads acting on the arm. Additionally, force feedback has been used to help keeping external loads constant. Intra-individual reproducibility of joint angles was estimated by using correlation coefficients to compare a goal-directed movement with robot-guided task. Inter-individual reproducibility has been evaluated by using the mean standard deviation of joint angles for both types of movement. The results showed that both inter- and intra-individual reproducibility have significantly improved by using the robot. Also, the effectiveness of using force feedback for keeping a constant external load has been shown. This makes it possible to estimate net joint forces and torques which are important biomechanical information in motion analysis.
机译:尽管手臂运动在日常生活中起着重要的作用,但仍然缺乏分析上肢运动的程序。标准化程序的主要问题是手臂运动的多样性和对外部手部力的评估困难。第一个问题需要运动的预定义,第二个问题是计算运动过程中产生的净关节力和扭矩的前提。引入并验证了一种在预定的,可重复的上肢运动过程中测量外力的新方法。机械臂已被用来定义运动,并且6自由度(DoF)力传感器已连接到其上,以获取作用在机械臂上的外部负载。另外,力反馈已用于帮助保持外部负载恒定。通过使用相关系数将目标定向运动与机器人指导的任务进行比较,可以估算关节角度的个体内可重复性。通过使用两种运动类型的关节角度的平均标准偏差评估了个体间的可重复性。结果表明,使用该机器人可以显着提高个体间和个体内的可重复性。而且,已经显示出使用力反馈来保持恒定的外部负载的有效性。这使得可以估计净关节力和扭矩,这是运动分析中重要的生物力学信息。

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