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Assessment and Prediction of Inter-joint Upper Limb Movement Correlations based on Kinematic Analysis and Statistical Regression

机译:基于运动学分析和统计回归的关节间上肢运动相关性评估和预测

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Musculoskeletal impairment of the upper limb can cause difficulties in performing basic daily activities. Three dimensional motion analyses can provide valuable data of arm movement in order to precisely determine arm movement and inter-joint coordination. The purpose of this study was to develop a method to evaluate the degree of impairment based on the influence of shoulder movements in the amplitude of elbow flexion and extension based on the assumption that a lack of motion of the elbow joint will be compensated by an increased shoulder activity. In order to develop and validate a statistical model, one healthy young volunteer has been involved in the study. The activity of choice simulated blowing the nose, starting from a slight flexion of the elbow and raising the hand until the middle finger touches the tip of the nose and return to the start position. Inter-joint coordination between the elbow and shoulder movements showed significant correlation. Statistical regression was used to fit an equation model describing the influence of shoulder movements on the elbow mobility. The study provides a brief description of the kinematic analysis protocol and statistical models that may be useful in describing the relation between inter-joint movements of daily activities.
机译:上肢的肌肉骨骼损伤可能导致执行基本日常活动困难。三维运动分析可以提供臂运动的有价值的数据,以便精确地确定臂运动和间相互作用。本研究的目的是开发一种方法,以基于肘部屈曲和延伸的幅度的影响,基于肘部屈曲和延伸的延伸的影响,基于肘关节缺乏将通过增加补偿的假设肩部活动。为了发展和验证统计模型,一名健康的年轻志愿者已经参与了这项研究。选择的活动模拟吹鼻子,从肘部的轻微屈曲开始并抬起手,直到中指接触鼻尖并返回到开始位置。肘部和肩部运动之间的间间协调显示出显着的相关性。统计回归用于适应描述肩部运动对肘部移动性的影响的等式模型。该研究提供了对运动分析协议和统计模型的简要描述,其可用于描述日常活动间间移动之间的关系。

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