Muscle modelling: comparative study of fuzzy and mathematical modelling approaches
Functional Electrical Stimulation (FES) is a promising method to restore mobility in paraplegia. Development of a paper control strategy for the FES depends on an accurate model of the muscle. The muscle model consists of relatively well known time-invariant passive properties and uncertain time-var...
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| Main Authors: | , , , |
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| Format: | Other |
| Published: |
Universiti Tun Hussein Onn Malaysia
2010
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| Subjects: | |
| Online Access: | http://eprints.uthm.edu.my/3076/ |
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| Summary: | Functional Electrical Stimulation (FES) is a promising method to restore mobility in paraplegia. Development of a paper control strategy for the FES depends on an accurate model of the muscle. The muscle model consists of relatively well known time-invariant passive properties and uncertain time-variant active properties. A model structure comprising muscle contraction and activation of the quadriceps muscle is formulated. The fuzzy model thus formulated is optimized using generic optimization, and validated against experimental data. Then, the performance of the model is compared with that of well known Riener's mathematical model in terms of accuracy of the dynamical characterization of quadriceps muscle. |
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