DocumentCode
626216
Title
Muscle Extension Model for FES-Assisted Knee Swinging Ergometer for Stroke Patient
Author
Hussain, Z. ; Boudville, R. ; Yahaya, S.Z. ; Ahmad, Farhan
Author_Institution
Fac. of Electr. Eng., Univ. Teknol. MARA, Shah Alam, Malaysia
fYear
2013
fDate
5-7 June 2013
Firstpage
120
Lastpage
124
Abstract
This work is focused on the development of physiological and mathematical model of muscle extension induced by FES-assisted knee swinging ergometer. A muscle model composed of muscle activation, muscle contraction and body segmental dynamics is developed to perform full knee extension. The developed muscle model is then incorporated with a humanoid model and a knee swinging ergometer model to perform simulation of FES-assisted knee swinging exercise. The developed humanoid model possesses the characteristics of stroke patient while the knee swinging ergometer was developed with the ability of utilizing the non-paretic knee in assisting the swinging of the paretic knee. The developed muscle model is evaluated under the dynamic simulation of FES-assisted knee swinging ergometer. The active torque and knee trajectories are recorded and the results shows that the design of knee swinging ergometer had successfully reduced the required stimulation pulse width in performing full knee extension. It is also suggested that the muscle model developed can be used for future analysis and control development of FES-assisted knee swinging ergometer for stroke patient.
Keywords
biomechanics; medical disorders; neuromuscular stimulation; orthotics; physiological models; torque; FES-assisted knee swinging ergometer; FES-assisted knee swinging exercise; active torque; body segmental dynamics; control development; developed muscle model; dynamic simulation; full knee extension; functional electrical stimulation; humanoid model; knee swinging ergometer model; knee trajectories; mathematical model; muscle activation; muscle contraction; muscle extension model; nonparetic knee; paretic knee swinging; physiological model; stimulation pulse width; stroke patient; Dynamics; Fatigue; Force; Knee; Mathematical model; Muscles; Torque; FES; knee swinging ergometer; muscle model; stroke rehabilitation;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Intelligence, Communication Systems and Networks (CICSyN), 2013 Fifth International Conference on
Conference_Location
Madrid
Print_ISBN
978-1-4799-0587-4
Type
conf
DOI
10.1109/CICSYN.2013.62
Filename
6571353
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