Agreement between spatiotemporal parameters from a photoelectric system with different filter settings and high-speed video analysis during running on a treadmill at comfortable velocity |
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| Institution: | 1. Department of Physical Education, Sports and Recreation, Universidad de La Frontera, Temuco, Chile;2. Department of Corporal Expression, University of Jaen, Jaen, Spain;3. Laboratory of Human Performance, Quality of Life and Wellness Research Group, Department of Physical Activity Sciences, Universidad de Los Lagos, Osorno, Chile;4. Department of Physiotherapy, Universidad San Jorge, Zaragoza, Spain;1. College of Bioresources Chemical and Materials Engineering, Shaanxi University of Science & Technology, Xi’an, China;2. Liming Vocational University, Quanzhou, China;3. College of Art and Design, Shaanxi University of Science & Technology, Xi’an, China;4. 361° (CHINA) Co., LTD., Xiamen, China;1. School of Health Sciences, Swinburne University of Technology, Australia;2. The Wingate College of Physical Education and Sports Sciences at the Wingate Institute, Israel;3. Child Health and Sport Center, Pediatric Department, Meir Medical Center, Sackler School of Medicine, Tel Aviv University, Israel;1. Department of Movement and Sports Sciences, Ghent University, Belgium;2. IPEM, Department of Arts, Music and Theatre Sciences, Ghent University, Belgium;1. Sports Medicine Research Laboratory, Luxembourg Institute of Health, 76, rue d’Eich, L-1460 Luxembourg, Luxembourg;2. NUTRIM School for Nutrition, Toxicology and Metabolism, Maastricht University, Universiteitssingel 40, 6229 ER, Maastricht, The Netherlands;3. Sports Clinic, Centre Hospitalier de Luxembourg, 78, rue d’Eich, L-1460 Luxembourg, Luxembourg;4. ATO-gear, 20, Torenallee, 5617 BC, Eindhoven, The Netherlands;1. Sports Performance Research Institute New Zealand (SPRINZ), Faculty of Health and Environmental Sciences, Auckland University of Technology, Auckland, New Zealand;2. Auckland Bioengineering Institute and Department of Engineering Science, University of Auckland, New Zealand |
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| Abstract: | The aim of this study was to determine the level of agreement between spatiotemporal gait characteristics from a photoelectric system with different filter settings and high-speed video analysis during running on a treadmill at comfortable velocity. Forty-nine runners performed a running protocol on a treadmill at comfortable velocity. Two systems were used to determine spatiotemporal parameters (i.e. contact time CT], flight time FT], step frequency SF] and step length SL]) during running: OptoGait system and high-speed video analysis at 1000 Hz. The collected data was re-filtered in the OptoGait software by using nine different settings (i.e. 0_0, 1_1, 2_2, 3_3, 3_4, 4_4, 4_5, 5_4 and 5_5), and compared to those obtained through video analysis. The Pearson correlation analysis revealed very large correlations (r > 0.9, p < 0.001) in CT, FT, SF and SL between both systems, regardless of the OptoGait’s filter settings. The ICC reported an almost perfect association (ICC > 0.9) for both SL and SF regardless of the filter setting. However, large variations between filter settings according to the data from video analysis were reported in CT and FT (0_0, 1_1 and 2_2 filter settings obtained an association ICC > 0.9, whereas other filters obtained lower ICCs). Bland-Altman plots revealed small bias and error and no presence of heteroscedasticity of error for 1_1 setting. In conclusion, the filter setting for the OptoGait system should be considered to minimize the bias and error of spatiotemporal parameters measurement. For running on a treadmill, the 1_1 filter setting is recommended if gait parameters are to be compared to a high-speed video analysis (1000 Hz). |
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| Keywords: | Data Filter Kinematics OptoGait Running |
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