DocumentCode :
1137914
Title :
Simulating pathological gait using the enhanced linear inverted pendulum model
Author :
Komura, Taku ; Nagano, Akinori ; Leung, Howard ; Shinagawa, Yoshihisa
Author_Institution :
City Univ. of Hong Kong, China
Volume :
52
Issue :
9
fYear :
2005
Firstpage :
1502
Lastpage :
1513
Abstract :
In this paper, we propose a new method to simulate human gait motion when muscles are weakened. The method is based on the enhanced version of three-dimensional linear inverted pendulum model that is used for generation of gait in robotics. After the normal gait motion is generated by setting the initial posture and the parameters that decide the trajectories of the center of mass and angular momentum, the muscle to be weakened is specified. By minimizing an objective function based on the force exerted by the specified muscle during the motion, the set of parameters that represent the pathological gait was calculated. Since the number of parameters to describe the motion is small in our method, the optimization process converges much more quickly than in previous methods. The effects of weakening the gluteus medialis, the gluteus maximus, and vastus were analyzed. Important similarities were noted when comparing the predicted pendulum motion with data obtained from an actual patient.
Keywords :
gait analysis; muscle; optimisation; pendulums; physiological models; enhanced linear inverted pendulum model; gluteus maximus; gluteus medialis; human gait motion; muscles; optimization; pathological gait; robotics; vastus; Biomechanics; Humans; Motion analysis; Motion estimation; Muscles; Musculoskeletal system; Optimization methods; Pathology; Performance analysis; Robots; Bipedal gait; inverse dynamics; musculoskeletal model; static optimization; Acceleration; Computer Simulation; Gait; Gait Disorders, Neurologic; Humans; Joints; Leg; Linear Models; Models, Biological; Muscle Contraction; Muscle Weakness; Muscle, Skeletal;
fLanguage :
English
Journal_Title :
Biomedical Engineering, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9294
Type :
jour
DOI :
10.1109/TBME.2005.851530
Filename :
1495694
Link To Document :
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