Reliable sagittal plane kinematic gait assessments are feasible using low-cost webcam technology |
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| Affiliation: | 1. Department of Physical Medicine and Rehabilitation, University of Michigan Medical School, Ann Arbor, MI, USA;2. Department of Biomedical Engineering, University of Michigan, Ann Arbor, MI, USA;3. School of Kinesiology, University of Michigan, Ann Arbor, MI, USA;1. Hugh Williamson Gait Analysis Laboratory, Royal Children’s Hospital, Melbourne, Australia;2. Murdoch Childrens Research Institute, Melbourne, Australia;3. Department of Mechanical Engineering, University of Melbourne, Australia;1. School of Health and Kinesiology, College of Education, University of Nebraska at Omaha, 6001 Dodge Street, Omaha, NE 68182, United States;2. Department of Child, Youth, and Family Studies, College of Education and Human Sciences, University of Nebraska at Lincoln, 1400 R St., Lincoln, NE 68588, United States;3. Department of Biomechanics, College of Education, 6160 University Drive, Omaha, NE 68182, United States;1. Department of Mechanical Engineering, Indian Institute of Technology, Kanpur 208016, India;2. Department of Mechanical and Industrial Engineering, Indian Institute of Technology, Roorkee 247677, India;3. Centre for Biomedical Engineering, Indian Institute of Technology, Delhi 110016, India;4. Department of Biomedical Engineering, All India Institute of Medical Sciences, Delhi 110016, India;1. Univ Grenoble Alpes, TIMC-IMAG, F-38000 Grenoble, France;2. CNRS, TIMC-IMAG, F-38000 Grenoble, France;1. Neuromotor Rehabilitation Research Group, Department of Rehabilitation Sciences, KU Leuven, Belgium;2. Research Group for Musculoskeletal Research, Department of Rehabilitation Sciences, KU Leuven, Belgium |
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| Abstract: | Three-dimensional (3-D) motion capture systems are commonly used for gait analysis because they provide reliable and accurate measurements. However, the downside of this approach is that it is expensive and requires technical expertise; thus making it less feasible in the clinic. To address this limitation, we recently developed and validated (using a high-precision walking robot) a low-cost, two-dimensional (2-D) real-time motion tracking approach using a simple webcam and LabVIEW Vision Assistant. The purpose of this study was to establish the repeatability and minimal detectable change values of hip and knee sagittal plane gait kinematics recorded using this system. Twenty-one healthy subjects underwent two kinematic assessments while walking on a treadmill at a range of gait velocities. Intraclass correlation coefficients (ICC) and minimal detectable change (MDC) values were calculated for commonly used hip and knee kinematic parameters to demonstrate the reliability of the system. Additionally, Bland-Altman plots were generated to examine the agreement between the measurements recorded on two different days. The system demonstrated good to excellent reliability (ICC > 0.75) for all the gait parameters tested on this study. The MDC values were typically low (<5°) for most of the parameters. The Bland-Altman plots indicated that there was no systematic error or bias in kinematic measurements and showed good agreement between measurements obtained on two different days. These results indicate that kinematic gait assessments using webcam technology can be reliably used for clinical and research purposes. |
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| Keywords: | Biomechanics Kinematic analysis Gait tracking Real-time Camera systems |
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