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

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 & Control Engineering, 225, (6), 850-859.

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Description/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.

Item Type:	Article
Divisions:	Faculty of Physical and Applied Science > Electronics and Computer Science > Comms, Signal Processing & Control Faculty of Physical and Applied Science > Electronics and Computer Science > EEE
Item ID:	271402
Date Deposited:	14 Jul 2010 13:49
Last Modified:	26 Apr 2013 05:00
Contributors:	Freeman, Christopher (Author) Tong, D (Author) Meadmore, Katie (Author) Cai, Z (Author) Rogers, E (Author) Hughes, A M (Author) Burridge, J H (Author)
Date:	2011
Status:	Published
Contact Email Address:	cf@ecs.soton.ac.uk
Further Information:	Google Scholar
ISI Citation Count:	3
URI:	http://eprints.soton.ac.uk/id/eprint/271402

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