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首页> 外文期刊>IEEE transactions on neural systems and rehabilitation engineering >Test-Retest Reliability of Kinematic Assessments for Upper Limb Robotic Rehabilitation
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Test-Retest Reliability of Kinematic Assessments for Upper Limb Robotic Rehabilitation

机译:对上肢机器人康复的运动评估测试 - 保持性可靠性

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摘要

Robot-measured kinematic variables are increasingly used in neurorehabilitation to characterize motor recovery following stroke. However, few studies have evaluated the reliability of these kinematic variables. This study aimed at evaluating the test-retest reliability of typically-used robot-measured kinematic variables in healthy subjects (HS) and patients with stroke (SP). Sixty-one participants (40 HS, 21 SP) carried out a planar robot-pointing task on two consecutive days. Nine robot-measured kinematic variables were computed: movement time (T), mean velocity (mV), maximal velocity (MV), smoothness error (SE), number of velocity peaks (nP), mean arrest period ratio (MAPR), normalized path length (NPL), root mean square error (RMS) from a straight line and the orthogonal projection of the last point of movement (LP). Intraclass Correlation Coefficients (ICC), percentage of the Standard Error of Measurement (SEM measured as a percentage of the mean value of the variable (%SEM)) and percentage of the Minimum Detectable Difference (MDD measured as a percentage of the mean value of the variable (%MDD)) were used to analyze the test-retest reliability of the kinematic variables. ICC scores for all kinematic variables were above 0.75 in both groups. %SEM values were below 10% except for MAPR (13.4%) in HS and nP, MAPR and RMS in SP (13.0%, 11.7% and 15.2% respectively). %MDD values were higher for RMS in SP (42.1%) and MAPR in HS (37.1%) and lower for LP (1.6% in HS and 8.1% in SP). The nine robot-measured kinematic variables all demonstrated good reliability, with high ICC values (>0.75) and an acceptable level of measurement error (%SEM< 16%). However, 3/9 robot-measured kinematic variables, did not appear to be sufficiently sensitive to change (%MDD>30%) to be considered useful in patients with stroke.
机译:机器人测量的运动变量越来越多地用于神经环状以表征中风后的电动机恢复。然而,很少有研究评估了这些运动变量的可靠性。本研究旨在评估典型使用的机器人测量的健康受试者(HS)和中风(SP)患者的测试 - 保持性可靠性。六十一名参与者(40 HS,21 SP)连续两天开展了平面机器人指向任务。计算九个机器人测量的运动变量:移动时间(T),平均速度(MV),最大速度(MV),平滑度误差(SE),速度峰(NP)数,均值骤计(MAPR),标准化路径长度(NPL),来自直线的根均方误差(RMS)和最后一个运动点的正交投影(LP)。脑内相关系数(ICC),测量标准误差的百分比(SEM测量为变量(%SEM)的平均值的百分比)和最小可检测差异的百分比(MDD测量为平均值的百分比可变(%MDD))用于分析运动变量的测试保持性可靠性。所有运动变量的ICC分数在两组上高于0.75。除了HS和NP,MAPR和NP中的MAPR(13.4%),MAPR和RMS分别的MAPR(13.0%,11.7%和15.2%)外,%SEM值低于10%。对于SP(42.1%)的RMS,HS(37.1%)的MAPR(37.1%)的MDD值较高,LP(在HS中为1.6%,SP中的8.1%)。九个机器人测量的运动变量都显示出良好的可靠性,具有高ICC值(> 0.75)和可接受的测量误差水平(%SEM <16%)。然而,3/9机器人测量的运动变量似乎并未对卒中患者视为有用的变化(%MDD> 30%)没有足够敏感。

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