The University of Southampton
University of Southampton Institutional Repository

System Identification of Muscle Dynamics for ILC-based Stroke Rehabilitation

System Identification of Muscle Dynamics for ILC-based Stroke Rehabilitation
System Identification of Muscle Dynamics for ILC-based Stroke Rehabilitation
In this paper results are presented for the identification of electrically stimulated muscle dynamics in stroke patients. This research forms a critical component in the model-based control of electrically stimulated upper-limb movement, which, in turn, is necessary to maximise improvement in sensory-motor function during rehabilitation with electrical stimulation. An overview is firstly provided of an experimental test facility that has been developed for stroke rehabilitation. During treatment stroke participants use this system to track elliptical trajectories projected onto a target above their arm, assisted by electrical stimulation applied to their triceps. The control approach used to apply stimulation is summarised, and the structure of the muscle model within the scheme is described. A novel iterative identification scheme is then introduced for the muscle dynamics of stroke patients, and experimental results are presented to confirm its performance and suitability in the proposed rehabilitation context.
Le, Fengmin
3e44aa4d-33ea-4697-a9c2-b2bff35cee3c
Markovsky, Ivan
7d632d37-2100-41be-a4ff-90b92752212c
Freeman, Christopher
ccdd1272-cdc7-43fb-a1bb-b1ef0bdf5815
Rogers, Eric
611b1de0-c505-472e-a03f-c5294c63bb72
Le, Fengmin
3e44aa4d-33ea-4697-a9c2-b2bff35cee3c
Markovsky, Ivan
7d632d37-2100-41be-a4ff-90b92752212c
Freeman, Christopher
ccdd1272-cdc7-43fb-a1bb-b1ef0bdf5815
Rogers, Eric
611b1de0-c505-472e-a03f-c5294c63bb72

Le, Fengmin, Markovsky, Ivan, Freeman, Christopher and Rogers, Eric (2009) System Identification of Muscle Dynamics for ILC-based Stroke Rehabilitation. UKACC Research Student Event, Institute of Engineering and Technology, Savoy Place, London.

Record type: Conference or Workshop Item (Paper)

Abstract

In this paper results are presented for the identification of electrically stimulated muscle dynamics in stroke patients. This research forms a critical component in the model-based control of electrically stimulated upper-limb movement, which, in turn, is necessary to maximise improvement in sensory-motor function during rehabilitation with electrical stimulation. An overview is firstly provided of an experimental test facility that has been developed for stroke rehabilitation. During treatment stroke participants use this system to track elliptical trajectories projected onto a target above their arm, assisted by electrical stimulation applied to their triceps. The control approach used to apply stimulation is summarised, and the structure of the muscle model within the scheme is described. A novel iterative identification scheme is then introduced for the muscle dynamics of stroke patients, and experimental results are presented to confirm its performance and suitability in the proposed rehabilitation context.

Text
UKACC_paper.pdf - Accepted Manuscript
Download (346kB)

More information

Published date: 7 May 2009
Additional Information: Event Dates: 7th May 2009
Venue - Dates: UKACC Research Student Event, Institute of Engineering and Technology, Savoy Place, London, 2009-05-07
Organisations: EEE, Southampton Wireless Group

Identifiers

Local EPrints ID: 267339
URI: http://eprints.soton.ac.uk/id/eprint/267339
PURE UUID: 446808c0-1da5-4b46-ad25-4a6771124323
ORCID for Eric Rogers: ORCID iD orcid.org/0000-0003-0179-9398

Catalogue record

Date deposited: 07 May 2009 20:27
Last modified: 15 Mar 2024 02:42

Export record

Contributors

Author: Fengmin Le
Author: Ivan Markovsky
Author: Christopher Freeman
Author: Eric Rogers ORCID iD

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×