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Department of Computer Science, UK
*Corresponding author:Wasiq Khan, Lecturer & Senior Researcher in AI/Data Science, Department of Computer Science, UK
Submission: December 20, 2018;Published: January 09, 2019
ISSN: 2576-8816Volume7 Issue3
An accurate detection of the gait sub-phases is fundamental in clinical gait analysis to interpret kinetic and kinematic data. In general, detecting the gait events that mark the transition from one gait sub-phase to another as well as the sequence of sub-phases is essential to evaluate gait abnormalities. However, finding a reliable segmentation for pathological gait has been a challenging task. This manuscript entails a generic approach for the gait segmentation into sub-phases in the CORBYS1 system. A number of distinctive features are extracted from the Hip joints motion data which are able to partition and segment the gait cycles in an efficient way. The degree of deviation (i.e. anomaly) in each sub-phase is then calculated with respect to an optimal gait reference which is used for robot-assisted gait rehabilitation. The proposed gait segmentation method is applicable to gait with many types of pathology since training on the pathology specific templates is not required. Performance of the proposed algorithm is evaluated by statistical analysis of results which produced 100% gait segmentation accuracy for healthy subjects and over 99% for pathological subjects.
Keywords: Gait rehabilitation; Pathological gait segmentation; Gait phases; Gait Analysis; Robot assisted gait; Gait anomaly detection
Ph.D in Agriculture from Faculty of Agriculture, Tohoku University
Research Professor, PhD, Holistic Research Institute
Professor, Chief Doctor, Director of Department of Pediatric Surgery, Associate Director of Department of Surgery, Doctoral Supervisor Tongji hospital, Tongji medical college, Huazhong University of Science and Technology
Senior Research Engineer and Professor, Center for Refining and Petrochemicals, Research Institute, King Fahd University of Petroleum and Minerals (KFUPM), Dhahran, Saudi Arabia
Fellow of International Agency for Standards and Ratings (IASR), Edith Cowan University, Sarich Neuroscience Research Institute
Chancellor Emeritus / Professor Emeritus of Chemistry and Physics, University of Missouri–St. Louis
Ph.D in Science from the Federal University of Alagoas, UFAL, Brazil
Assistant Professor in College of Architecture, Art and Design
Interim Dean, College of Education and Health Sciences, Director of Biomechanics Laboratory, Sport Science Innovation Program, Bridgewater State University
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