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A multivariate method for analysing time and space components of highly disparate movement trajectories

机译:分析高度不同运动轨迹的时间和空间分量的多元方法

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The difficulties in performing manual control tasks under visual-motor mismatch are well documented. For example, laparoscopic surgeons must operate in an environment where a motor movement and the visual feedback of that same movement are ordinarily misaligned with respect to each other, increasing the risk of control errors. To complement conventional global measures of motor performance, which provide insight into spatial and/or temporal performance averaged over several trials, a bivariate dynamic measure encompassing joint time and space components is proposed. These two components are the instantaneous velocity and movement efficiency, derived from recorded movement trajectories. The dynamic measure consists of a graphical representation of the bivariate data, in conjunction with a non-parametric statistical analysis. An example is given of the dynamic measure applied to movement trajectories from an investigation involving simulated laparoscopic pointing under visual-motor mismatch. Results from both global and dynamic measures are discussed, along with limitations of the multivariate dynamic measure.
机译:视觉电机不匹配下执行手动控制任务的困难已得到充分证明。例如,腹腔镜外科医生必须在马达运动和相同运动的视觉反馈通常彼此相对未对准的环境中操作,从而增加了控制错误的风险。为了补充传统的整体运动表现测量方法,这些方法可提供对几次试验中平均的空间和/或时间表现的了解,提出了一种包含联合时间和空间分量的双变量动态测量方法。这两个分量是从记录的运动轨迹中得出的瞬时速度和运动效率。动态度量包括双变量数据的图形表示以及非参数统计分析。从涉及视觉运动失配下的模拟腹腔镜指向的调查中,给出了应用于运动轨迹的动态测量的一个例子。讨论了来自全局和动态度量的结果,以及多元动态度量的局限性。

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