UTHM Institutional Repository

Identification of active properties of knee joint using GA optimization

K. K. Ibrahim, B. S. and Huq, M. S. and Tokhi, M. O. and Gharooni, S. C. and 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. ISSN 20103778

[img]
Preview
PDF
J4961_13e0ffc2c952a2b9d01f31a591364493.pdf

Download (397kB)

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.

Item Type: Article
Uncontrolled Keywords: Knee joint; functional electrical stimulation; genetic algorithm; fuzzy inference system
Subjects: R Medicine > RB Pathology
Divisions: Faculty of Electrical and Electronic Engineering > Department of Robotic and Mechatronic Engineering
Depositing User: Mr. Mohammad Shaifulrip Ithnin
Date Deposited: 13 Aug 2018 03:33
Last Modified: 13 Aug 2018 03:33
URI: http://eprints.uthm.edu.my/id/eprint/9642
Statistic Details: View Download Statistic

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year