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Article type: Research Article
Authors: Linkel, Artūrasa; * | Raudonytė, Ingab | Shippen, Jamesc | May, Barbarac | Daunoravičienė, Kristinaa | Sawicki, Aleksanderd | Griškevičius, Juliusa
Affiliations: [a] Department of Biomechanics, Faculty of Mechanics, Vilnius Gediminas Technical University, Vilnius, Lithuania | [b] Department of PM&R, Faculty of Medicine, University of Vilnius, Vilnius, Lithuania | [c] Coventry University, Coventry, UK | [d] Department of Theoretical Electrotechnics and Metrology, Bialystok University of Technology, Bialystok, Poland
Correspondence: [*] Corresponding author: Artūras Linkel, Department of Biomechanics, Vilnius Gediminas Technical University. Basanavičiaus str. 28, LT-03224, Vilnius, Lithuania. Tel.: +370 60658396; E-mail: [email protected].
Abstract: BACKGROUND: The quality of upper extremity (UE) function can be evaluated by measuring the kinematic parameters of patient movements. OBJECTIVE: This investigation focused on finding the angles and angular velocity amplitudes of UE motions in healthy participants to compare with the experimental results of patients with a UE disability who are trying to recover previous movement conditions. METHODS: The UE motions of 23 healthy adult volunteers were tested using a three-dimensional motion capture system and measuring hand segment motions. A simplified 7 degrees of freedom (DOF) human arm kinematic model created within MATLAB and used to process the experimental data. RESULTS: The interpersonal CV (coefficients of variability) of left-side motions showed that the lowest CV of linear velocity amplitudes was at elbow flexion (4.2%), but the highest was at wrist extension (48.3%). The lowest and highest CV of angular velocity amplitudes were 19.6% and 55.7%, during shoulder adduction and wrist extension, respectively. CONCLUSIONS: High interpersonal CV may restrict the direct comparison of kinematic parameters of UE in different healthy and disabled persons.
Keywords: Upper extremity, objective evaluation, motion capture system, biomechanics, kinematic human hand model
DOI: 10.3233/THC-170927
Journal: Technology and Health Care, vol. 25, no. 5, pp. 939-948, 2017
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