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A comparison of quantitative and qualitative motion analysis techniques as tools to identify movement disorders.

机译:定量和定性运动分析技术作为识别运动障碍的工具的比较。

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摘要

In this study, quantitative and qualitative motion analysis techniques were used to identify differences between three groups of participants completing two tasks (postural stability and gait): individuals with clinically diagnosed movement disorders (MD), individuals without movement disorders (CON), and individuals without any central nervous system dysfunction who were asked to try and replicate movements seen in movement disorders (MDC). All participants were asked to stand on a force platform and complete three trials of three arm conditions (arms at sides, hands on waist, and arms forward at shoulder height). The force platform measures were able to distinguish statistically significant differences between the MD and CON groups (p ≤ .05) but not the MDC and CON groups (p ≤ .05). As expected, the MD group exhibited a larger area of the sway path, and a larger amount of both anterior-posterior and medial-lateral sway than either the CON or MDC groups.; The spatial and temporal characteristics of a stride were calculated using two-dimensional kinematics. Each participant walked down a walkway three times at a self-selected pace. The following parameters were statistically significant: right stance phase, left swing phase, double support time, right and left single support, left step time, right and left step length, right and left step speed, stride distance, and stride speed (p ≤ .05). The variables analyzed distinguished statistically significant group differences between the CON and MD groups and CON and MDC groups but not MDC and MD groups (p ≤ .05). The MD group spent more time in double support, less time in swing phase, took shorter and slower steps than the CON group. However, the MDC group exhibited even lower values than the MD group for stride distance and speed.; The Labanotation total score for the postural stability and gait tasks was the only measure used in this study that distinguished statistically significant group differences (p ≤ .05) between all three groups of participants. The Labanotation total score is a useful method for identifying individuals with movement disorders in situations where expensive and time consuming motion analysis equipment is unavailable such as institutions for the developmentally disabled.
机译:在这项研究中,使用定量和定性运动分析技术来识别完成两项任务(姿势稳定性和步态)的三组参与者之间的差异:具有临床诊断的运动障碍(MD)的个体,无运动障碍的个体(CON)和个人没有任何中枢神经系统功能障碍的人,他们被要求尝试复制运动障碍(MDC)中看到的运动。所有参与者都被要求站在一个力量平台上,并完成对三种手臂状况的三项试验(手臂在两侧,腰部在手,手臂在肩高处向前)。测力平台的测量能够区分MD组和CON组之间的统计学显着差异(p≤.05),而MDC和CON组之间则无统计学差异(p≤.05)。正如预期的那样,与CON组或MDC组相比,MD组的摆动路径面积更大,前后外侧和内侧外侧的摆动量更大。使用二维运动学来计算步幅的时空特征。每个参与者以自己选择的速度走了三遍人行道。以下参数具有统计学意义:右站姿阶段,左挥杆阶段,双支撑时间,左和左单支撑,左步时间,左右步长,左右步速,步距和步速(p≤ .05)。分析的变量区分了CON和MD组与CON和MDC组之间的统计学上显着的组差异,但没有MDC和MD组之间的差异(p≤.05)。 MD组比CON组花费更多的时间在双重支撑上,挥杆阶段花费的时间更少,步伐更短,速度更慢。但是,MDC组的步距和速度甚至比MD组更低。姿势稳定性和步态任务的Labanotation总分是本研究中唯一用于区分所有三组参与者之间统计学上显着的组差异(p≤.05)的度量。 Labanotation总评分是一种有用的方法,可用于在无法使用昂贵且耗时的运动分析设备(例如发育障碍的医疗机构)的情况下识别患有运动障碍的人。

著录项

  • 作者

    Lobel, Elin Elizabeth.;

  • 作者单位

    University of Illinois at Urbana-Champaign.;

  • 授予单位 University of Illinois at Urbana-Champaign.;
  • 学科 Health Sciences Recreation.; Health Sciences Rehabilitation and Therapy.; Health Sciences Mental Health.
  • 学位 Ph.D.
  • 年度 2002
  • 页码 143 p.
  • 总页数 143
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 预防医学、卫生学;康复医学;医学心理学、病理心理学;
  • 关键词

  • 入库时间 2022-08-17 11:46:20

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