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ILC for FES-based Stroke Rehabilitation of Hand and Wrist

ILC for FES-based Stroke Rehabilitation of Hand and Wrist
ILC for FES-based Stroke Rehabilitation of Hand and Wrist
Functional electrical stimulation (FES) has been shown to be an effective technique for stroke rehabilitation, but when applied to support wrist and hand movement, current controllers in clinical use are exclusively open-loop which degrades their accuracy and hence therapeutic potential. As one of the few model-based control approaches to be used in clinical trials for the upper limb, iterative learning control (ILC) holds clear potential in this area. This paper develops a clinically relevant model of the hand and wrist incorporating stimulated muscles to assist the implementation of FES based rehabilitation system and establishes the ability of ILC to provide precision
motion control over repeated attempts at a task. Practical
considerations are discussed relating to the application of the control algorithms developed within stroke rehabilitation.
1267-1272
Soska, Anna
61bf571f-41d6-4352-9e72-8348255f5cd2
Freeman, Christopher
ccdd1272-cdc7-43fb-a1bb-b1ef0bdf5815
Rogers, Eric
611b1de0-c505-472e-a03f-c5294c63bb72
Soska, Anna
61bf571f-41d6-4352-9e72-8348255f5cd2
Freeman, Christopher
ccdd1272-cdc7-43fb-a1bb-b1ef0bdf5815
Rogers, Eric
611b1de0-c505-472e-a03f-c5294c63bb72

Soska, Anna, Freeman, Christopher and Rogers, Eric (2012) ILC for FES-based Stroke Rehabilitation of Hand and Wrist. IEEE Multiconference on Systems and Control (MSC 2012), Croatia. 03 - 05 Oct 2012. pp. 1267-1272 .

Record type: Conference or Workshop Item (Paper)

Abstract

Functional electrical stimulation (FES) has been shown to be an effective technique for stroke rehabilitation, but when applied to support wrist and hand movement, current controllers in clinical use are exclusively open-loop which degrades their accuracy and hence therapeutic potential. As one of the few model-based control approaches to be used in clinical trials for the upper limb, iterative learning control (ILC) holds clear potential in this area. This paper develops a clinically relevant model of the hand and wrist incorporating stimulated muscles to assist the implementation of FES based rehabilitation system and establishes the ability of ILC to provide precision
motion control over repeated attempts at a task. Practical
considerations are discussed relating to the application of the control algorithms developed within stroke rehabilitation.

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More information

Published date: 2012
Venue - Dates: IEEE Multiconference on Systems and Control (MSC 2012), Croatia, 2012-10-03 - 2012-10-05
Organisations: EEE, Southampton Wireless Group

Identifiers

Local EPrints ID: 273019
URI: http://eprints.soton.ac.uk/id/eprint/273019
PURE UUID: ea797a2c-22ae-408b-bcac-3b433f64a91c
ORCID for Eric Rogers: ORCID iD orcid.org/0000-0003-0179-9398

Catalogue record

Date deposited: 19 Nov 2011 18:52
Last modified: 03 Dec 2019 02:04

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Contributors

Author: Anna Soska
Author: Christopher Freeman
Author: Eric Rogers ORCID iD

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