The University of Southampton
University of Southampton Institutional Repository

Upper-limb stroke rehabilitation using electrode-array based functional electrical stimulation with sensing and control innovations

Upper-limb stroke rehabilitation using electrode-array based functional electrical stimulation with sensing and control innovations
Upper-limb stroke rehabilitation using electrode-array based functional electrical stimulation with sensing and control innovations
Functional electrical stimulation (FES) has shown effectiveness in restoring upper-limb movement post-stroke when applied to assist participants’ voluntary intention during repeated, motivating tasks. Recent clinical trials have used advanced controllers that precisely adjust FES to assist functional reach and grasp tasks with FES applied to three muscle groups, showing significant reduction in impairment. The system reported in this paper advances the state-of-the-art by: (1) integrating an FES electrode array on the forearm to assist complex hand and wrist gestures; (2) utilising non-contact depth cameras to accurately record the arm, hand and wrist position in 3D; and (3) employing an interactive touch table to present motivating virtual reality (VR) tasks. The system also uses iterative learning control (ILC), a model-based control strategy which adjusts the applied FES based on the tracking error recorded on previous task attempts. Feasibility of the system has been evaluated in experimental trials with 2 unimpaired participants and clinical trials with 4 hemiparetic, chronic stroke participants. The stroke participants attended 17, 1 hour training sessions in which they performed functional tasks, such as button pressing using the touch table and closing a drawer. Stroke participant results show that the joint angle error norm reduced by an average of 50.3% over 6 attempts at each task when assisted by FES.
1350-4533
366-379
Kutlu, M.
4e99ab81-ef5e-4c66-b042-8aeee432f468
Freeman, C. T.
ccdd1272-cdc7-43fb-a1bb-b1ef0bdf5815
Hallewell, E.
6c2fdbaf-e8f8-4693-9150-889d9b021b92
Hughes, A.M.
11239f51-de47-4445-9a0d-5b82ddc11dea
Laila, D.S.
41aa5cf9-3ec2-4fdf-970d-a0a349bfd90c
Kutlu, M.
4e99ab81-ef5e-4c66-b042-8aeee432f468
Freeman, C. T.
ccdd1272-cdc7-43fb-a1bb-b1ef0bdf5815
Hallewell, E.
6c2fdbaf-e8f8-4693-9150-889d9b021b92
Hughes, A.M.
11239f51-de47-4445-9a0d-5b82ddc11dea
Laila, D.S.
41aa5cf9-3ec2-4fdf-970d-a0a349bfd90c

Kutlu, M., Freeman, C. T., Hallewell, E., Hughes, A.M. and Laila, D.S. (2016) Upper-limb stroke rehabilitation using electrode-array based functional electrical stimulation with sensing and control innovations. Medical Engineering & Physics, 38 (4), 366-379. (doi:10.1016/j.medengphy.2016.01.004).

Record type: Article

Abstract

Functional electrical stimulation (FES) has shown effectiveness in restoring upper-limb movement post-stroke when applied to assist participants’ voluntary intention during repeated, motivating tasks. Recent clinical trials have used advanced controllers that precisely adjust FES to assist functional reach and grasp tasks with FES applied to three muscle groups, showing significant reduction in impairment. The system reported in this paper advances the state-of-the-art by: (1) integrating an FES electrode array on the forearm to assist complex hand and wrist gestures; (2) utilising non-contact depth cameras to accurately record the arm, hand and wrist position in 3D; and (3) employing an interactive touch table to present motivating virtual reality (VR) tasks. The system also uses iterative learning control (ILC), a model-based control strategy which adjusts the applied FES based on the tracking error recorded on previous task attempts. Feasibility of the system has been evaluated in experimental trials with 2 unimpaired participants and clinical trials with 4 hemiparetic, chronic stroke participants. The stroke participants attended 17, 1 hour training sessions in which they performed functional tasks, such as button pressing using the touch table and closing a drawer. Stroke participant results show that the joint angle error norm reduced by an average of 50.3% over 6 attempts at each task when assisted by FES.

Text
MEP_Kutlu_03_2016_online.pdf - Version of Record
Available under License Creative Commons Attribution.
Download (2MB)

More information

Accepted/In Press date: 31 January 2016
e-pub ahead of print date: 3 March 2016
Published date: April 2016
Organisations: Physical & Rehabilitation Health, Mechatronics, EEE

Identifiers

Local EPrints ID: 373741
URI: http://eprints.soton.ac.uk/id/eprint/373741
ISSN: 1350-4533
PURE UUID: 0cb2aa7b-9b43-4490-9d66-4b67d47edfda
ORCID for A.M. Hughes: ORCID iD orcid.org/0000-0002-3958-8206

Catalogue record

Date deposited: 27 Jan 2015 10:18
Last modified: 15 Mar 2024 03:25

Export record

Altmetrics

Contributors

Author: M. Kutlu
Author: C. T. Freeman
Author: E. Hallewell
Author: A.M. Hughes ORCID iD
Author: D.S. Laila

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.

×