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Comparison between kinematic and ground reaction force techniques for determining gait events during treadmill walking at different walking speeds
Authors:Rita M. Kiss
Affiliation:1. Department of Physical Therapy, Sackler Faculty of Medicine, Tel-Aviv University, Israel;2. Multiple Sclerosis Center, Sheba Medical Center, Tel Hashomer, Israel;1. Liberty Mutual Research Institute for Safety, 71 Frankland Road, Hopkinton, MA 01748, USA;2. Department of Human Physiology, University of Oregon, Eugene, OR 97403, USA;3. Safety and Health Assessment and Research for Prevention (SHARP) Program, Washington State Department of Labor and Industries, Olympia, WA 98504, USA;4. Department of Industrial Engineering and Engineering Management, National Tsing Hua University, Hsinchu, Taiwan, ROC;1. Department of Biomedical Engineering, University of Wisconsin-Madison, Madison, WI, USA;2. Department of Mechanical Engineering, University of Wisconsin-Madison, Madison, WI, USA;3. Mary Free Bed Rehabilitation Hospital, Grand Rapids, MI, USA;1. Program in Physical Therapy, Mayo School of Health Sciences, Mayo Clinic College of Medicine, Rochester, MN, USA;2. Department of Physical Medicine & Rehabilitation, Mayo Clinic, Rochester, MN, USA;1. University Medical Center Groningen, Center for Human Movement Sciences, Groningen, The Netherlands;2. University of Potsdam, Department of Training and Movement Sciences, Potsdam, Germany;3. The University of Western Ontario, Faculty of Health Sciences, School of Kinesiology, Canadian Centre for Activity and Aging, Canada;4. East Carolina University, Department of Kinesiology, Greenville, NC, USA;1. Center for Rehabilitation Research, Texas Tech University Health Sciences Center, Lubbock, TX, USA;2. Department of Kinesiology and Nutrition Sciences, University of Nevada Las Vegas, Las Vegas, NV, USA;3. Department of Human Physiology, University of Oregon, Eugene, OR, USA
Abstract:This study involved a comparison of kinematics-based and ground reaction force (GRF)-based event detection methods. The objectives were (1) to assess the difference between the determination of gait events from GRF-based and kinematic/ultrasound-based techniques and (2) to determine the effects of gait speed on the agreement between the two techniques. At combined speeds, the average of the true difference was 2.6 ± 2.8 ms for heel strike and ?1.3 ± 2.4 ms for toe-off identification. A positive value indicated that GRF-based identification occurred before kinematics-based identification. The average of the true difference was ?3.9 ± 3.5 ms for the duration of stance; thus, the duration of stance as determined by the kinematics-based technique was shorter than that determined by GFR-based detection. Strong correlations (range 0.948–0.974) were found at all (slow, moderate, and fast) gait speeds. Near unity of slope of the linear regression line (range 0.955–1.008) was identified for the duration of stance between the two methods. Our results suggest that the agreement between the two event detection methods depended on gait speed, but the differences were small. The data determined using kinematic/ultrasound-based and GRF-based methods were comparable in healthy participants.
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