Clinical gait evaluation of patients with knee osteoarthritis |
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| Institution: | 1. Department of Radiology, Beijing Youan Hospital, Capital Medical University, Beijing, China;2. School of Biomedical Engineering, Capital Medical University, Beijing, China;3. Beijing Key Laboratory of Fundamental Research on Biomechanics in Clinical Application, Capital Medical University, Beijing, China;4. Department of Spinal Surgery, Tianjin Hospital, Tianjin, China;5. Xuanwu Hospital Capital Medical University, Beijing, China;6. Orthopedic Private Practice, Fresno, CA, USA;2. Delaware Rehabilitation Institute, University of Delaware, Newark, DE 19716, USA;3. Department of Mechanical Engineering, University of Delaware, Newark, DE 19716, USA;4. School of Kinesiology, University of Michigan, USA;6. Department of Physical Therapy, University of Delaware, Newark, DE 19716, USA;1. Department of System Design Engineering, Faculty of Science and Technology, Keio University, Yokohama, Japan;2. Department of Physical Therapy, Human Health Sciences, Graduate School of Medicine, Kyoto University, Kyoto, Japan;3. Japan Society for the Promotion of Science, Tokyo, Japan;4. Department of Physical Medicine and Rehabilitation, University of Pittsburgh, United States;5. McGowan Institute for Regenerative Medicine, University of Pittsburgh, United States;6. School of Science for Open and Environmental Systems, Graduate School of Science and Technology, Keio University, Yokohama, Japan;1. Université catholique de Louvain, Secteur des Sciences de la Santé, Institut de Recherche Expérimentale et Clinique, Neuro Musculo Skeletal Lab (NMSK), Avenue Mounier 53, B-1200 Brussels, Belgium;2. Cliniques universitaires Saint-Luc, Service d’orthopédie et de traumatologie de l’appareil locomoteur, Avenue Hippocrate 10, B-1200 Brussels, Belgium;3. Cliniques de l’Europe, Service d’orthopédie et de traumatologie, Sainte Elisabeth, Avenue De Fré 206, 1180 Bruxelles, Belgium;1. Division of Human Mechanical Systems and Design, Faculty of Engineering, Hokkaido University, Sapporo, Japan;2. Division of Human Mechanical Systems and Design, Graduate School of Engineering, Hokkaido University, Sapporo, Japan;3. Faculty of Health Sciences, Hokkaido University, Sapporo, Japan;1. Physical Therapy Dept., University of Pernambuco, PE, Brazil;2. Hospital das Clínicas HCFMUSP, Faculdade de Medicina, Universidade de São Paulo, SP, Brazil;3. Faculdade de Medicina, Universidade de São Paulo, Departamento de Fisioterapia, Fonoaudiologia e Terapia Ocupacional, SP, Brazil |
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| Abstract: | Knee osteoarthritis (KOA) is the most common osteoarthritis in lower limbs, and gait measurement is important to evaluate walking function of KOA patients before and after treatment. The third generation Intelligent Device for Energy Expenditure and Activity (IDEEA3) is a portable gait analysis system to evaluate gaits. This study is to evaluate the accuracy and reliability of IDEEA3 for gait measurement of KOA patients. Meanwhile, gait differences between KOA patients and healthy subjects are examined. Twelve healthy volunteers were recruited for measurement comparison of gait cycle (GC), cadence, step length, velocity and step counts between a motion analysis system and a high-speed camera (GoPro Hero3). Twenty-three KOA patients were recruited for measurement comparison of former five parameters between GoPro Hero3 and IDEEA3. Paired t-test, Concordance Correlation Coefficient (CCC) and Intraclass Correlation Coefficient (ICC) were used for data analysis. All p-values of paired t-tests for GC, cadence, step length and velocity were greater than 0.05 while all CCC and ICC results were above 0.95. The measurements of GC, cadence, step length, velocity and step counts by motion analysis system are highly consistent with the measurements by GoPro Hero3. The measurements of former parameters by GoPro Hero3 are not statistically different from the measurements by IDEEA3. IDEEA3 can be effectively used for the measurement of GC, cadence, step length, velocity and step counts in KOA patients. The KOA patients walk with longer GC, lower cadence, shorter step length and slower speed compared with healthy subjects in natural speed with flat shoes. |
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| Keywords: | Knee osteoarthritis Gait Portable Gait Analyzer IDEEA GoPro Hero |
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