NDLI: Patient-specific walking pattern simulation in a gait trajectory guiding device

Content Provider	IEEE Xplore Digital Library
Author	Hasan, M.K. Jang-Ho Park Seung-Hun Park Sun-Hee Hwang Gon Khang
Copyright Year	2009
Description	Author affiliation: U-Health Lab, Department of Biomedical Engineering, Kyung Hee University, South Korea (Hasan, M.K.; Jang-Ho Park; Seung-Hun Park) \|\| Rehabilitation Engineering Lab, Department of Biomedical Engineering, Kyung Hee University, South Korea (Sun-Hee Hwang; Gon Khang)
Abstract	Repetitive training is of much importance for restoring full-fledged gait ability. At present, task-specific repetitive approach has been proved to be the most effective motor learning concept. In this regard, a gait trajectory guiding device with partial body weight support system can be a solution for gait rehabilitation. This paper presents a complete gait study with an objective to implement the motion of a natural walking pattern in the automated foot-boards of a gait trajectory guiding device. In our developed motion algorithm of foot-boards we have concentrated on adaptation of patient-specific true walking trajectory, determination of variable velocity pattern along different degrees of freedom and timedivision for simulating different phases of a complete gait cycle. Gait database, collected from disparate sources and previous gait-studies have been used for kinetic and kinematic analysis of human walking. We have modeled those data based on the previous researches done in this area and adopt them for our motion algorithm. A precise velocity pattern and time-division have been described along different axes so that patient’s biofeedback and postural stability in different walking phases can be recorded accordingly and motion-correction of the footboards can be done in consecutive cycles through iterative learning control algorithm with the help of motion sensors.
Starting Page	7126
Ending Page	7130
File Size	1033903
Page Count	5
File Format	PDF
ISBN	9781424432967
ISSN	1557170X
DOI	10.1109/IEMBS.2009.5332882
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-09-03
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Legged locomotion Iterative algorithms Databases Kinetic theory Kinematics Humans Biological control systems Stability Motion control Velocity control
Content Type	Text
Resource Type	Article
Subject	Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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