@inproceedings{27e24a5578d44a57930198bca9f851af,
title = "Fuzzy logic based cycle-to-cycle control of FES-induced swinging motion",
abstract = "FES induced movement control is a significantly challenging area due to complexity and non-linearity of musculo-skeletal system. The goal of this study is to design a cycle-to-cycle control of FES-induced swinging motion. In this approach only the quadriceps muscle is stimulated by controlling the amount of stimulation pulsewidth. This time dependent behaviour is successfully compensated for using a cycle-to cycle fuzzy controller, which computes the amount of knee extension stimulation on the basis of the achieved flexion angle in previous cycles. The capability of fuzzy control in automatic generation of stimulation burst duration is assessed in computer simulations using a musculo-skeletal model. This paper presents the development of a fuzzy logic control scheme based on discrete-time cycle to cycle control strategies without predefined trajectory. The results show the effectiveness of the approach in controlling FES-induced swinging motion.",
keywords = "Functional electrical stimulation, fuzzy logic, genetic algorithm, paraplegic, quadriceps, swinging motion",
author = "Ibrahim, {B. S.K.K.} and Tokhi, {M. O.} and Huq, {M. S.} and Gharooni, {S. C.}",
year = "2011",
month = jul,
day = "14",
doi = "10.1109/INECCE.2011.5953850",
language = "English",
isbn = "9781612842295",
series = "InECCE 2011 - International Conference on Electrical, Control and Computer Engineering",
publisher = "IEEE",
pages = "60--64",
booktitle = "InECCE 2011 - International Conference on Electrical, Control and Computer Engineering",
address = "United States",
note = "1st International Conference on Electrical, Control and Computer Engineering 2011, InECCE 2011 ; Conference date: 21-06-2011 Through 22-06-2011",
}