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The Adaptive Control of FES-assisted Indoor Rowing Exercise

Z. Hussain,M. Zaidan,M. Tokhi,R. Jailani

Published 2009 in Unknown venue

ABSTRACT

This paper describes the development of an adaptive control mechanism for FES-assisted indoor rowing exercise (FES-rowing). The FES-rowing is intro- duced as a total body exercise for rehabilitation of function of lower body through the application of functional ele c- trical stimulation (FES). A model of the rowing ergometer with humanoid is developed using the visual Nastran sof t- ware environment (vN4D). A fuzzy logic control (FLC) scheme is designed in Matlab/Simulink and adapted online by pre-training artificial neural network (ANN) to regulate the muscle stimulation pulse width required to drive FES-rowing. The ANN is used as an adaptation to the system that is required to account for muscle fatigue. The results signify that the adaptive control scheme is able to achieve and maintain better tracking performance. This study indicates that the adaptive control developed may provide an effective mechanism for automatically regula t- ing the stimulation pulse width for FES-rowing to ove r- come muscle fatigue.

PUBLICATION RECORD

  • Publication year

    2009

  • Venue

    Unknown venue

  • Publication date

    2009-11-01

  • Fields of study

    Medicine, Engineering

  • Identifiers

    No identifiers available.

  • External record

    Open on Semantic Scholar

  • Source metadata

    Semantic Scholar

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