Goal orientated stroke rehabilitation utilising electrical stimulation, iterative learning and Microsoft Kinect

Timothy Exell; Christopher Freeman; Katie Meadmore; Mustafa Kutlu; Eric Rogers; Ann Marie Hughes; Emma Hallewell; Jane Burridge

doi:10.1109/ICORR.2013.6650493

Goal orientated stroke rehabilitation utilising electrical stimulation, iterative learning and Microsoft Kinect

Timothy Exell, Christopher Freeman, Katie Meadmore, Mustafa Kutlu, Eric Rogers, Ann Marie Hughes, Emma Hallewell, Jane Burridge

University of Southampton

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

An upper-limb stroke rehabilitation system is developed that assists patients in performing real world functionally relevant reaching tasks. The system provides de-weighting of the arm via a simple spring support whilst functional electrical stimulation is applied to the anterior deltoid and triceps via surface electrodes, and to the wrist and hand extensors via a 40 element surface electrode array. Iterative learning control (ILC) is used to mediate the electrical stimulation, and updates the stimulation signal applied to each muscle group based on the error between the ideal and actual movement in the previous attempt. The control system applies the minimum amount of stimulation required, maximising voluntary effort. Low-cost, markerless motion tracking is provided via a Microsoft Kinect, with hand and wrist data provided by an electrogoniometer or data glove. The system is described and initial experimental results are presented for a stroke patient starting treatment.

Original language	English
Title of host publication	IEEE International Conference on Rehabilitation Robotics
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Print)	9781467360241
DOIs	https://doi.org/10.1109/ICORR.2013.6650493
Publication status	Published - 2013
Externally published	Yes
Event	IEEE 13th International Conference on Rehabilitation Robotics - Seattle, WA, United States Duration: 24 Jun 2013 → 26 Jun 2013

Publication series

Name	2013 IEEE International Conference on Rehabilitation Robotics (ICORR)
Publisher	IEEE
ISSN (Print)	1945-7901

Conference

Conference	IEEE 13th International Conference on Rehabilitation Robotics
Abbreviated title	ICORR 2013
Country/Territory	United States
City	Seattle, WA
Period	24/06/13 → 26/06/13

UN SDGs

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

SDG 3 Good Health and Well-being

Keywords

Electrical stimulation
Iterative learning control
Robotics

Access to Document

10.1109/ICORR.2013.6650493

Cite this

Exell, T., Freeman, C., Meadmore, K., Kutlu, M., Rogers, E., Hughes, A. M., Hallewell, E., & Burridge, J. (2013). Goal orientated stroke rehabilitation utilising electrical stimulation, iterative learning and Microsoft Kinect. In IEEE International Conference on Rehabilitation Robotics Article 6650493 (2013 IEEE International Conference on Rehabilitation Robotics (ICORR)). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICORR.2013.6650493

Exell, Timothy ; Freeman, Christopher ; Meadmore, Katie et al. / Goal orientated stroke rehabilitation utilising electrical stimulation, iterative learning and Microsoft Kinect. IEEE International Conference on Rehabilitation Robotics. Institute of Electrical and Electronics Engineers Inc., 2013. (2013 IEEE International Conference on Rehabilitation Robotics (ICORR)).

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title = "Goal orientated stroke rehabilitation utilising electrical stimulation, iterative learning and Microsoft Kinect",

abstract = "An upper-limb stroke rehabilitation system is developed that assists patients in performing real world functionally relevant reaching tasks. The system provides de-weighting of the arm via a simple spring support whilst functional electrical stimulation is applied to the anterior deltoid and triceps via surface electrodes, and to the wrist and hand extensors via a 40 element surface electrode array. Iterative learning control (ILC) is used to mediate the electrical stimulation, and updates the stimulation signal applied to each muscle group based on the error between the ideal and actual movement in the previous attempt. The control system applies the minimum amount of stimulation required, maximising voluntary effort. Low-cost, markerless motion tracking is provided via a Microsoft Kinect, with hand and wrist data provided by an electrogoniometer or data glove. The system is described and initial experimental results are presented for a stroke patient starting treatment.",

keywords = "Electrical stimulation, Iterative learning control, Robotics",

author = "Timothy Exell and Christopher Freeman and Katie Meadmore and Mustafa Kutlu and Eric Rogers and Hughes, \{Ann Marie\} and Emma Hallewell and Jane Burridge",

year = "2013",

doi = "10.1109/ICORR.2013.6650493",

language = "English",

isbn = "9781467360241",

series = "2013 IEEE International Conference on Rehabilitation Robotics (ICORR)",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

booktitle = "IEEE International Conference on Rehabilitation Robotics",

address = "United States",

note = "IEEE 13th International Conference on Rehabilitation Robotics, ICORR 2013 ; Conference date: 24-06-2013 Through 26-06-2013",

}

Exell, T, Freeman, C, Meadmore, K, Kutlu, M, Rogers, E, Hughes, AM, Hallewell, E & Burridge, J 2013, Goal orientated stroke rehabilitation utilising electrical stimulation, iterative learning and Microsoft Kinect. in IEEE International Conference on Rehabilitation Robotics., 6650493, 2013 IEEE International Conference on Rehabilitation Robotics (ICORR), Institute of Electrical and Electronics Engineers Inc., IEEE 13th International Conference on Rehabilitation Robotics, Seattle, WA, United States, 24/06/13. https://doi.org/10.1109/ICORR.2013.6650493

Goal orientated stroke rehabilitation utilising electrical stimulation, iterative learning and Microsoft Kinect. / Exell, Timothy; Freeman, Christopher; Meadmore, Katie et al.
IEEE International Conference on Rehabilitation Robotics. Institute of Electrical and Electronics Engineers Inc., 2013. 6650493 (2013 IEEE International Conference on Rehabilitation Robotics (ICORR)).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Goal orientated stroke rehabilitation utilising electrical stimulation, iterative learning and Microsoft Kinect

AU - Exell, Timothy

AU - Freeman, Christopher

AU - Meadmore, Katie

AU - Kutlu, Mustafa

AU - Rogers, Eric

AU - Hughes, Ann Marie

AU - Hallewell, Emma

AU - Burridge, Jane

PY - 2013

Y1 - 2013

N2 - An upper-limb stroke rehabilitation system is developed that assists patients in performing real world functionally relevant reaching tasks. The system provides de-weighting of the arm via a simple spring support whilst functional electrical stimulation is applied to the anterior deltoid and triceps via surface electrodes, and to the wrist and hand extensors via a 40 element surface electrode array. Iterative learning control (ILC) is used to mediate the electrical stimulation, and updates the stimulation signal applied to each muscle group based on the error between the ideal and actual movement in the previous attempt. The control system applies the minimum amount of stimulation required, maximising voluntary effort. Low-cost, markerless motion tracking is provided via a Microsoft Kinect, with hand and wrist data provided by an electrogoniometer or data glove. The system is described and initial experimental results are presented for a stroke patient starting treatment.

AB - An upper-limb stroke rehabilitation system is developed that assists patients in performing real world functionally relevant reaching tasks. The system provides de-weighting of the arm via a simple spring support whilst functional electrical stimulation is applied to the anterior deltoid and triceps via surface electrodes, and to the wrist and hand extensors via a 40 element surface electrode array. Iterative learning control (ILC) is used to mediate the electrical stimulation, and updates the stimulation signal applied to each muscle group based on the error between the ideal and actual movement in the previous attempt. The control system applies the minimum amount of stimulation required, maximising voluntary effort. Low-cost, markerless motion tracking is provided via a Microsoft Kinect, with hand and wrist data provided by an electrogoniometer or data glove. The system is described and initial experimental results are presented for a stroke patient starting treatment.

KW - Electrical stimulation

KW - Iterative learning control

KW - Robotics

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UR - http://ieeexplore.ieee.org/servlet/opac?punumber=1001500

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AN - SCOPUS:84891099283

SN - 9781467360241

T3 - 2013 IEEE International Conference on Rehabilitation Robotics (ICORR)

BT - IEEE International Conference on Rehabilitation Robotics

PB - Institute of Electrical and Electronics Engineers Inc.

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ER -

Exell T, Freeman C, Meadmore K, Kutlu M, Rogers E, Hughes AM et al. Goal orientated stroke rehabilitation utilising electrical stimulation, iterative learning and Microsoft Kinect. In IEEE International Conference on Rehabilitation Robotics. Institute of Electrical and Electronics Engineers Inc. 2013. 6650493. (2013 IEEE International Conference on Rehabilitation Robotics (ICORR)). doi: 10.1109/ICORR.2013.6650493

Goal orientated stroke rehabilitation utilising electrical stimulation, iterative learning and Microsoft Kinect

Abstract

Publication series

Conference

UN SDGs

Keywords

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