A comparative study on the mechanical energy of the normal, ACL, osteoarthritis, and Parkinson subjects

(2017) A comparative study on the mechanical energy of the normal, ACL, osteoarthritis, and Parkinson subjects. Technology and Health Care. pp. 771-780. ISSN 0928-7329

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Abstract

BACKGROUND: The influence of various musculoskeletal disorders has been evaluated using different kinetic and kinematic parameters. But the efficiency of walking can be evaluated by measuring the effort of the subject, or by other words the energy that is required to walk. OBJECTIVE: The aim of this study was to identify mechanical energy differences between the normal and pathological groups. Four groups of 15 healthy subjects, 13 Parkinson subjects, 4 osteoarthritis subjects, and 4 ACL reconstructed subjects have participated in this study. The motions of foot, shank and thigh were recorded using a three dimensional motion analysis system. The kinetic, potential and total mechanical energy of each segment was calculated using 3D markers positions and anthropometric measurements. RESULTS: Maximum value and sample entropy of energies was compared between the normal and abnormal subjects. Maximum value of potential energy of OA subjects was lower than the normal subjects. Furthermore, sample entropy of mechanical energy for Parkinson subjects was low in comparison to the normal subjects while sample entropy of mechanical energy for the ACL subjects was higher than that of the normal subjects. CONCLUSION: Findings of this study suggested that the subjects with different abilities show different mechanical energy during walking.

Item Type: Article
Keywords: mechanical energy gait analysis musculoskeletal disorders biomechanics approximate entropy gait analysis disease walking knee age
Divisions: Faculty of Rehabilitation
School of Advanced Technologies in Medicine > Department of Bioelectrics and Biomedical Engineering
Page Range: pp. 771-780
Journal or Publication Title: Technology and Health Care
Journal Index: ISI
Volume: 25
Number: 4
Identification Number: https://doi.org/10.3233/Thc-170843
ISSN: 0928-7329
Depositing User: مهندس مهدی شریفی
URI: http://eprints.mui.ac.ir/id/eprint/904

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