Identification of the Dynamics of Human Arms after Stroke


Le, Fengmin, Markovsky, Ivan, Freeman, Christopher and Rogers, Eric (2008) Identification of the Dynamics of Human Arms after Stroke. In, 23rd IAR Workshop on Advanced Control and Diagnosis, Coventry University, UK, 27 - 28 Nov 2008. (Submitted).

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Description/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 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 the other one when implemented on the simulated muscle system with different noise levels.

Item Type: Conference or Workshop Item (Paper)
Additional Information: Event Dates: 27-28 November 2008
Divisions: Faculty of Physical Sciences and Engineering > Electronics and Computer Science > Comms, Signal Processing & Control
Faculty of Physical Sciences and Engineering > Electronics and Computer Science > EEE
ePrint ID: 266916
Date Deposited: 14 Nov 2008 22:00
Last Modified: 27 Mar 2014 20:12
Further Information:Google Scholar
URI: http://eprints.soton.ac.uk/id/eprint/266916

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