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Efficacy of Iterative Learning Control for Stroke Rehabilitation

Efficacy of Iterative Learning Control for Stroke Rehabilitation
Efficacy of Iterative Learning Control for Stroke Rehabilitation
Strokes affect between 174 and 216 people per 100 000 population in the UK each year. Approximately two-thirds of patients in England will survive their stroke; of the 900 000 stroke survivors, 50 per cent are disabled and dependent. Although a high number of patients have upper limb impairments initially poststroke, despite therapy, very few regain useful arm movement regarded as being an important factor affecting independence. Upper limb function is clearly a major problem, which current treatment approaches are not solving.If the capacity of health and social services is to meet future demand, new approaches to rehabilitation are required. Evidence supports the use of electrical stimulation (ES) to reduce arm impairments following stroke, but until now, techniques have not allowed performance related feedback – as has been demonstrated with robotic devices. To promote voluntary activity using ES, the stimulation must be adjusted in response to the users’ performance; providing only the minimum level of stimulation needed to assist the patient in performing the task to a high level of accuracy.
1367-7543
16-20
Hughes, Ann-Marie
11239f51-de47-4445-9a0d-5b82ddc11dea
Freeman, Christopher
ccdd1272-cdc7-43fb-a1bb-b1ef0bdf5815
Burridge, Jane
7c453775-c3ae-4d55-99af-2ed8600ca680
Chappell, Paul
2d2ec52b-e5d0-4c36-ac20-0a86589a880e
Lewin, Paul
78b4fc49-1cb3-4db9-ba90-3ae70c0f639e
Rogers, Eric
611b1de0-c505-472e-a03f-c5294c63bb72
Dibb, Bridget
1cdc4ce1-7f8e-4c21-80ed-c3a48cdae209
Donovan-Hall, Maggie
4b105fc9-c09d-417b-8d31-8f39da0124d9
Hughes, Ann-Marie
11239f51-de47-4445-9a0d-5b82ddc11dea
Freeman, Christopher
ccdd1272-cdc7-43fb-a1bb-b1ef0bdf5815
Burridge, Jane
7c453775-c3ae-4d55-99af-2ed8600ca680
Chappell, Paul
2d2ec52b-e5d0-4c36-ac20-0a86589a880e
Lewin, Paul
78b4fc49-1cb3-4db9-ba90-3ae70c0f639e
Rogers, Eric
611b1de0-c505-472e-a03f-c5294c63bb72
Dibb, Bridget
1cdc4ce1-7f8e-4c21-80ed-c3a48cdae209
Donovan-Hall, Maggie
4b105fc9-c09d-417b-8d31-8f39da0124d9

Hughes, Ann-Marie, Freeman, Christopher, Burridge, Jane, Chappell, Paul, Lewin, Paul, Rogers, Eric, Dibb, Bridget and Donovan-Hall, Maggie (2009) Efficacy of Iterative Learning Control for Stroke Rehabilitation. Progress in Neurology and Psychiatry, 13 (5), 16-20.

Record type: Article

Abstract

Strokes affect between 174 and 216 people per 100 000 population in the UK each year. Approximately two-thirds of patients in England will survive their stroke; of the 900 000 stroke survivors, 50 per cent are disabled and dependent. Although a high number of patients have upper limb impairments initially poststroke, despite therapy, very few regain useful arm movement regarded as being an important factor affecting independence. Upper limb function is clearly a major problem, which current treatment approaches are not solving.If the capacity of health and social services is to meet future demand, new approaches to rehabilitation are required. Evidence supports the use of electrical stimulation (ES) to reduce arm impairments following stroke, but until now, techniques have not allowed performance related feedback – as has been demonstrated with robotic devices. To promote voluntary activity using ES, the stimulation must be adjusted in response to the users’ performance; providing only the minimum level of stimulation needed to assist the patient in performing the task to a high level of accuracy.

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More information

Published date: 1 September 2009
Organisations: EEE, Southampton Wireless Group

Identifiers

Local EPrints ID: 267129
URI: https://eprints.soton.ac.uk/id/eprint/267129
ISSN: 1367-7543
PURE UUID: df794d23-0341-484a-9a82-fafff0060771
ORCID for Ann-Marie Hughes: ORCID iD orcid.org/0000-0002-3958-8206

Catalogue record

Date deposited: 20 Feb 2009 12:47
Last modified: 06 Jun 2018 12:40

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Contributors

Author: Jane Burridge
Author: Paul Chappell
Author: Paul Lewin
Author: Eric Rogers
Author: Bridget Dibb
Author: Maggie Donovan-Hall

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