Identification of active properties of knee joint using GA optimization
Journal article
Ibrahim, BSKK, Huq, MS, Tokhi, MO, Gharooni, SC, Jailani, R and Hussain, Z (2009). Identification of active properties of knee joint using GA optimization. World Academy of Science, Engineering and Technology. 55, pp. 441-446.
Authors | Ibrahim, BSKK, Huq, MS, Tokhi, MO, Gharooni, SC, Jailani, R and Hussain, Z |
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Abstract | Functional Electrical Stimulation requires an accurate model of electrically stimulated muscles to control the muscle contraction force. Characterization of electrically stimulated muscle is complex because of the non-linearity and time-varying nature of the system with interdependent variables. The muscle model consists of relatively well known time-invariant passive properties and uncertain time-variant active properties. In this research a new approach for estimating nonlinear active properties of the electrically stimulated quadriceps muscle group is investigated. The objective of this study is to develop a model that could be used to describe active joint properties including continuous-time nonlinear activation dynamics and nonlinear static contraction. As an example, the modelling of a freely swinging lower leg by electrical stimulation of the quadriceps is considered. |
Keywords | Knee joint; Functional electrical stimulation; Genetic algorithm; Fuzzy inference system |
Year | 2009 |
Journal | World Academy of Science, Engineering and Technology |
Journal citation | 55, pp. 441-446 |
ISSN | 2070-3740 |
Publication process dates | |
Accepted | 01 Jan 2009 |
Deposited | 29 Apr 2020 |
Accepted author manuscript | License File Access Level Open |
https://openresearch.lsbu.ac.uk/item/899xv
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Accepted author manuscript
Ibrahim et al_WASET_55_441-446.pdf | ||
License: CC BY 4.0 | ||
File access level: Open |
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