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System identification for FES-based tremor suppression

System identification for FES-based tremor suppression
System identification for FES-based tremor suppression
Tremor is an involuntary motion which is a common complication of Parkinson's disease and Multiple Sclerosis. A promising treatment is to artificially contract the muscle through application of induced electrical stimulation. However, existing controllers have either provided only modest levels of suppression or have been applied only in simulation. To enable more advanced, model-based control schemes, an accurate model of the relevant limb dynamics is required, together with identification procedures that are suitable for clinical application. This paper proposes such a solution, explicitly addressing limitations of existing methodologies. These include model structures that (i) neglect critical features, and (ii) restrict the range of admissible control schemes, together with identification procedures that (iii) employ stimulation inputs that are uncomfortable for patients, (iv) are overly complex and time-consuming for clinical use, and (v) cannot be automated. Experimental results confirm the efficacy of the proposed identification procedures, and show that high levels of accuracy can be achieved in a short identification time using test procedures that are suitable for future transference to the clinical domain.
tremor, system identification, hammerstein structure, functional electrical stimulation, muscle model, linearisation
0947-3580
45-59
Copur, E.H.
34d7cc9e-63b2-4233-a3ba-0293f572f961
Freeman, C.T.
ccdd1272-cdc7-43fb-a1bb-b1ef0bdf5815
Chu, B.
555a86a5-0198-4242-8525-3492349d4f0f
Laila, D.S.
41aa5cf9-3ec2-4fdf-970d-a0a349bfd90c
Copur, E.H.
34d7cc9e-63b2-4233-a3ba-0293f572f961
Freeman, C.T.
ccdd1272-cdc7-43fb-a1bb-b1ef0bdf5815
Chu, B.
555a86a5-0198-4242-8525-3492349d4f0f
Laila, D.S.
41aa5cf9-3ec2-4fdf-970d-a0a349bfd90c

Copur, E.H., Freeman, C.T., Chu, B. and Laila, D.S. (2016) System identification for FES-based tremor suppression. European Journal of Control, 27, 45-59. (doi:10.1016/j.ejcon.2015.12.003).

Record type: Article

Abstract

Tremor is an involuntary motion which is a common complication of Parkinson's disease and Multiple Sclerosis. A promising treatment is to artificially contract the muscle through application of induced electrical stimulation. However, existing controllers have either provided only modest levels of suppression or have been applied only in simulation. To enable more advanced, model-based control schemes, an accurate model of the relevant limb dynamics is required, together with identification procedures that are suitable for clinical application. This paper proposes such a solution, explicitly addressing limitations of existing methodologies. These include model structures that (i) neglect critical features, and (ii) restrict the range of admissible control schemes, together with identification procedures that (iii) employ stimulation inputs that are uncomfortable for patients, (iv) are overly complex and time-consuming for clinical use, and (v) cannot be automated. Experimental results confirm the efficacy of the proposed identification procedures, and show that high levels of accuracy can be achieved in a short identification time using test procedures that are suitable for future transference to the clinical domain.

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Copur System - Accepted Manuscript
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More information

Accepted/In Press date: 1 December 2015
e-pub ahead of print date: 12 December 2015
Published date: January 2016
Keywords: tremor, system identification, hammerstein structure, functional electrical stimulation, muscle model, linearisation
Organisations: Mechatronics, EEE

Identifiers

Local EPrints ID: 373740
URI: http://eprints.soton.ac.uk/id/eprint/373740
ISSN: 0947-3580
PURE UUID: 1752e7bd-2cd6-42e5-b97e-1b1be9f121f7
ORCID for B. Chu: ORCID iD orcid.org/0000-0002-2711-8717

Catalogue record

Date deposited: 27 Jan 2015 10:14
Last modified: 17 Dec 2019 06:56

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