Iterative learning control as an enabler for robotic-assisted upper limb stroke rehabilitation

Eric Rogers; Chris T. Freeman; Ann Marie Hughes; Jane H. Burridge; Katie L. Meadmore; Tim Exell

doi:10.1007/978-3-319-28860-4_8

Iterative learning control as an enabler for robotic-assisted upper limb stroke rehabilitation

Eric Rogers^*, Chris T. Freeman, Ann Marie Hughes, Jane H. Burridge, Katie L. Meadmore, Tim Exell

^*Corresponding author for this work

Institute of Life Sciences and Healthcare

University of Southampton

Research output: Chapter in Book/Report/Conference proceeding › Chapter (peer-reviewed) › peer-review

Abstract

An increased burden on health care and rehabilitation resources is due to the number of people suffering a stroke and if the capacity of health services is to meet future demand novel approaches to rehabilitation are required. In this chapter recent research is surveyed where iterative learning control, developed initially for robots executing commonly encountered industrial tasks such as sequentially collecting objects from one location and transferring them to another, is used to control the assistive stimulation in robotic-assisted upper limb stroke rehabilitation. The results given include the outcomes of small-scale clinical trials with stroke patients and areas for future research are also briefly discussed.

Original language	English
Title of host publication	Complex Systems
Subtitle of host publication	Relationships between Control, Communications and Computing
Publisher	Springer International Publishing AG
Pages	157-187
Number of pages	31
ISBN (Print)	978-3319288604
DOIs	https://doi.org/10.1007/978-3-319-28860-4_8
Publication status	Published - 2016

Publication series

Name	Studies in Systems, Decision and Control
Publisher	Springer
Volume	55
ISSN (Print)	2198-4182
ISSN (Electronic)	2198-4190

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Access to Document

10.1007/978-3-319-28860-4_8

Cite this

Rogers, E., Freeman, C. T., Hughes, A. M., Burridge, J. H., Meadmore, K. L., & Exell, T. (2016). Iterative learning control as an enabler for robotic-assisted upper limb stroke rehabilitation. In Complex Systems: Relationships between Control, Communications and Computing (pp. 157-187). (Studies in Systems, Decision and Control; Vol. 55). Springer International Publishing AG. https://doi.org/10.1007/978-3-319-28860-4_8

@inbook{1bfe9780ec5f43289933eab1f304ce5b,

title = "Iterative learning control as an enabler for robotic-assisted upper limb stroke rehabilitation",

abstract = "An increased burden on health care and rehabilitation resources is due to the number of people suffering a stroke and if the capacity of health services is to meet future demand novel approaches to rehabilitation are required. In this chapter recent research is surveyed where iterative learning control, developed initially for robots executing commonly encountered industrial tasks such as sequentially collecting objects from one location and transferring them to another, is used to control the assistive stimulation in robotic-assisted upper limb stroke rehabilitation. The results given include the outcomes of small-scale clinical trials with stroke patients and areas for future research are also briefly discussed.",

author = "Eric Rogers and Freeman, \{Chris T.\} and Hughes, \{Ann Marie\} and Burridge, \{Jane H.\} and Meadmore, \{Katie L.\} and Tim Exell",

year = "2016",

doi = "10.1007/978-3-319-28860-4\_8",

language = "English",

isbn = "978-3319288604",

series = "Studies in Systems, Decision and Control",

publisher = "Springer International Publishing AG",

pages = "157--187",

booktitle = "Complex Systems",

address = "Switzerland",

}

Rogers, E, Freeman, CT, Hughes, AM, Burridge, JH, Meadmore, KL & Exell, T 2016, Iterative learning control as an enabler for robotic-assisted upper limb stroke rehabilitation. in Complex Systems: Relationships between Control, Communications and Computing. Studies in Systems, Decision and Control, vol. 55, Springer International Publishing AG, pp. 157-187. https://doi.org/10.1007/978-3-319-28860-4_8

Iterative learning control as an enabler for robotic-assisted upper limb stroke rehabilitation. / Rogers, Eric; Freeman, Chris T.; Hughes, Ann Marie et al.
Complex Systems: Relationships between Control, Communications and Computing. Springer International Publishing AG, 2016. p. 157-187 (Studies in Systems, Decision and Control; Vol. 55).

Research output: Chapter in Book/Report/Conference proceeding › Chapter (peer-reviewed) › peer-review

TY - CHAP

T1 - Iterative learning control as an enabler for robotic-assisted upper limb stroke rehabilitation

AU - Rogers, Eric

AU - Freeman, Chris T.

AU - Hughes, Ann Marie

AU - Burridge, Jane H.

AU - Meadmore, Katie L.

AU - Exell, Tim

PY - 2016

Y1 - 2016

N2 - An increased burden on health care and rehabilitation resources is due to the number of people suffering a stroke and if the capacity of health services is to meet future demand novel approaches to rehabilitation are required. In this chapter recent research is surveyed where iterative learning control, developed initially for robots executing commonly encountered industrial tasks such as sequentially collecting objects from one location and transferring them to another, is used to control the assistive stimulation in robotic-assisted upper limb stroke rehabilitation. The results given include the outcomes of small-scale clinical trials with stroke patients and areas for future research are also briefly discussed.

AB - An increased burden on health care and rehabilitation resources is due to the number of people suffering a stroke and if the capacity of health services is to meet future demand novel approaches to rehabilitation are required. In this chapter recent research is surveyed where iterative learning control, developed initially for robots executing commonly encountered industrial tasks such as sequentially collecting objects from one location and transferring them to another, is used to control the assistive stimulation in robotic-assisted upper limb stroke rehabilitation. The results given include the outcomes of small-scale clinical trials with stroke patients and areas for future research are also briefly discussed.

UR - https://www.scopus.com/pages/publications/85028996641

U2 - 10.1007/978-3-319-28860-4_8

DO - 10.1007/978-3-319-28860-4_8

M3 - Chapter (peer-reviewed)

AN - SCOPUS:85028996641

SN - 978-3319288604

T3 - Studies in Systems, Decision and Control

SP - 157

EP - 187

BT - Complex Systems

PB - Springer International Publishing AG

ER -

Rogers E, Freeman CT, Hughes AM, Burridge JH, Meadmore KL, Exell T. Iterative learning control as an enabler for robotic-assisted upper limb stroke rehabilitation. In Complex Systems: Relationships between Control, Communications and Computing. Springer International Publishing AG. 2016. p. 157-187. (Studies in Systems, Decision and Control). doi: 10.1007/978-3-319-28860-4_8

Iterative learning control as an enabler for robotic-assisted upper limb stroke rehabilitation

Abstract

Publication series

UN SDGs

Access to Document

Fingerprint

Cite this