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Phase-lead Iterative Learning Control Algorithms for Functional Electrical Stimulation based Stroke Rehabilitation

Phase-lead Iterative Learning Control Algorithms for Functional Electrical Stimulation based Stroke Rehabilitation
Phase-lead Iterative Learning Control Algorithms for Functional Electrical Stimulation based Stroke Rehabilitation
A control system for stroke rehabilitation is developed which combines electrical stimulation with a robotic support system to provide assistance to stroke patients performing 3D upper limb reaching tasks in a virtual reality environment. The electrical stimulation is applied to two muscles in the subject's arm using an iterative learning control scheme which learns from data collected over previous trials of the task in order to achieve accurate movement. The principal components of the system are described and experimental results confirm its feasibility for application to upper limb stroke rehabilitation.
850-859
Freeman, Christopher
ccdd1272-cdc7-43fb-a1bb-b1ef0bdf5815
Tong, D
a83e5a96-c049-4b06-8078-7eaf16bc7468
Meadmore, Katie
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Cai, Z
dd8dd525-19a5-4792-a048-617340996afe
Rogers, E
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Hughes, A M
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Burridge, J H
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Freeman, Christopher
ccdd1272-cdc7-43fb-a1bb-b1ef0bdf5815
Tong, D
a83e5a96-c049-4b06-8078-7eaf16bc7468
Meadmore, Katie
4b63707b-4c44-486c-958e-e84645e7ed33
Cai, Z
dd8dd525-19a5-4792-a048-617340996afe
Rogers, E
611b1de0-c505-472e-a03f-c5294c63bb72
Hughes, A M
11239f51-de47-4445-9a0d-5b82ddc11dea
Burridge, J H
9daa054b-c8b5-4306-a1b7-1424b466bade

Freeman, Christopher, Tong, D, Meadmore, Katie, Cai, Z, Rogers, E, Hughes, A M and Burridge, J H (2011) Phase-lead Iterative Learning Control Algorithms for Functional Electrical Stimulation based Stroke Rehabilitation. Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering, 225 (6), 850-859.

Record type: Article

Abstract

A control system for stroke rehabilitation is developed which combines electrical stimulation with a robotic support system to provide assistance to stroke patients performing 3D upper limb reaching tasks in a virtual reality environment. The electrical stimulation is applied to two muscles in the subject's arm using an iterative learning control scheme which learns from data collected over previous trials of the task in order to achieve accurate movement. The principal components of the system are described and experimental results confirm its feasibility for application to upper limb stroke rehabilitation.

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Published date: 2011
Organisations: EEE, Southampton Wireless Group

Identifiers

Local EPrints ID: 271402
URI: http://eprints.soton.ac.uk/id/eprint/271402
PURE UUID: dd37848c-5703-41a5-a46e-ec2d57e75747
ORCID for Katie Meadmore: ORCID iD orcid.org/0000-0001-5378-8370
ORCID for E Rogers: ORCID iD orcid.org/0000-0003-0179-9398
ORCID for A M Hughes: ORCID iD orcid.org/0000-0002-3958-8206

Catalogue record

Date deposited: 14 Jul 2010 13:49
Last modified: 07 Oct 2020 05:01

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