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Identification of Electrically Stimulated Muscle after Stroke

Identification of Electrically Stimulated Muscle after Stroke
Identification of Electrically Stimulated Muscle after Stroke
The design of controllers to enable the application of Functional Electrical Stimulation as part of a rehabilitation programme for stroke patients requires an accurate model of electrically stimulated muscle. In this paper, nonlinear dynamics of the electrically stimulated muscle under isometric conditions is investigated, leading to the requirement to identify a Hammerstein model structure. Here we develop a two-stage identification method based on a preliminary construction of the linear part that is used as an initial estimate. Then the two-stage method is applied to identify the nonlinear part and optimize the linear part. The separable least squares optimization algorithm and traditional ramp deconvolution method are implemented here and compared with the proposed method using a simulated muscle system that is based on experimental data from stroke patients. The results show that the proposed method outperforms two other previously proposed methods when implemented on the simulated muscle system with different noise levels.
978-963-311-369-1
1576-1581
Le, Fengmin
3e44aa4d-33ea-4697-a9c2-b2bff35cee3c
Markovsky, Ivan
7d632d37-2100-41be-a4ff-90b92752212c
Freeman, Christopher
ccdd1272-cdc7-43fb-a1bb-b1ef0bdf5815
Rogers, Eric
611b1de0-c505-472e-a03f-c5294c63bb72
Le, Fengmin
3e44aa4d-33ea-4697-a9c2-b2bff35cee3c
Markovsky, Ivan
7d632d37-2100-41be-a4ff-90b92752212c
Freeman, Christopher
ccdd1272-cdc7-43fb-a1bb-b1ef0bdf5815
Rogers, Eric
611b1de0-c505-472e-a03f-c5294c63bb72

Le, Fengmin, Markovsky, Ivan, Freeman, Christopher and Rogers, Eric (2009) Identification of Electrically Stimulated Muscle after Stroke. European Control Conference 2009 - ECC’09, Hungary. 23 - 26 Aug 2009. pp. 1576-1581 .

Record type: Conference or Workshop Item (Paper)

Abstract

The design of controllers to enable the application of Functional Electrical Stimulation as part of a rehabilitation programme for stroke patients requires an accurate model of electrically stimulated muscle. In this paper, nonlinear dynamics of the electrically stimulated muscle under isometric conditions is investigated, leading to the requirement to identify a Hammerstein model structure. Here we develop a two-stage identification method based on a preliminary construction of the linear part that is used as an initial estimate. Then the two-stage method is applied to identify the nonlinear part and optimize the linear part. The separable least squares optimization algorithm and traditional ramp deconvolution method are implemented here and compared with the proposed method using a simulated muscle system that is based on experimental data from stroke patients. The results show that the proposed method outperforms two other previously proposed methods when implemented on the simulated muscle system with different noise levels.

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More information

Published date: 23 August 2009
Additional Information: Event Dates: 23-26 August, 2009
Venue - Dates: European Control Conference 2009 - ECC’09, Hungary, 2009-08-23 - 2009-08-26
Organisations: EEE, Southampton Wireless Group

Identifiers

Local EPrints ID: 267810
URI: https://eprints.soton.ac.uk/id/eprint/267810
ISBN: 978-963-311-369-1
PURE UUID: 158d9840-91ee-44f5-adf8-c7ba042ed06e
ORCID for Eric Rogers: ORCID iD orcid.org/0000-0003-0179-9398

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Date deposited: 28 Aug 2009 12:11
Last modified: 14 Jun 2019 00:40

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