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.
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.
Authors: Ana de Los Reyes-Guzmán; Iris Dimbwadyo-Terrer; Soraya Pérez-Nombela; Félix Monasterio-Huelin; Diego Torricelli; José Luis Pons; Angel Gil-Agudo Journal: Med Biol Eng Comput Date: 2016-08-20 Impact factor: 2.602
Authors: Clemente Lauretti; Francesca Cordella; Anna Lisa Ciancio; Emilio Trigili; Jose Maria Catalan; Francisco Javier Badesa; Simona Crea; Silvio Marcello Pagliara; Silvia Sterzi; Nicola Vitiello; Nicolas Garcia Aracil; Loredana Zollo Journal: Front Neurorobot Date: 2018-02-23 Impact factor: 2.650