Neurorehabilitation · 2013 · 58 citations · 13 references
MedicinePhysical MedicineRehabilitation MedicineMotor ControlMovement AnalysisRehabilitationMotor Control AssessmentMotor Function AssessmentRehabilitation RoboticsRobotic RehabilitationUpper Extremity Function AssessmentUpper Limb RehabilitationExoskeleton EvaluationMovement AssessmentOvershootRobotic Rehabilitation Device EvaluationUpper Extremity Functional AssessmentUpper Limb FunctionUpper Limb KinematicsVelocity Profiles
BACKGROUND: Robotic rehabilitation devices for upper limb function (ULF) provide global indicators of a patient's ability, but the temporal evolution of motion related to motor control is disregarded. OBJECTIVE: To determine normative values for indices of accuracy, speed and smoothness in the evaluation of upper limb function. METHODS: Twenty-five healthy individuals performed the Armeo®Spring device "Vertical Capture" task. Custom stand-alone software was developed to provide the following indices: global Hand Path Ratio (HPR), local HPR in the target area (locHPR), vertical and horizontal overshoot (vertOS, horOS), maximum and mean velocity (maxVel, meanVel), mean/maximum velocity, number of peaks in velocity profiles (NVelPeaks) and normalized jerk (NormJerk). The dependence of indices on task characteristics was analyzed by an ANCOVA test. Indices inner relationships were assessed by a correlation and a factor analysis. Normative values were then provided. RESULTS: 4,268 single reaching movements were analyzed. Four indices were not affected by movement direction. Indices were minimally influenced by the difficulty level. Based upon correlation and factor analysis indices and can be grouped into three assessment fields, dealing with precision, velocity and smoothness. CONCLUSIONS: We have developed a tool to assess ULF in dynamic condition. Normative values were obtained to be used as references in assessing patients.
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Movement Smoothness Changes during Stroke Recovery
Brandon Rohrer, Susan E. Fasoli, Hermano Igo Krebs et al. · Journal of Neuroscience · 2002 · 778 citations · Full text
Caitlyn Joyce Bosecker, Laura Dipietro, Bruce T. Volpe et al. · Neurorehabilitation and neural repair · 2009 · 305 citations · Full text