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Output details

13 - Electrical and Electronic Engineering, Metallurgy and Materials

University of Southampton

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Output 17 of 326 in the submission

Article title

A model of the upper extremity using FES for stroke rehabilitation

Type

D - Journal article

DOI

10.1115/1.3005332

Title of journal

Journal of Biomechanical Engineering

Article number

Volume number

131

Issue number

First page of article

031011

ISSN of journal

0148-0731

Year of publication

2009

URL

http://www.ncbi.nlm.nih.gov/pubmed/19154070

Number of additional authors

Additional information

Significance of output:

This paper shows the first mathematical model of the human arm for use with experiments using Iterative Learning Control and Functional Electrical Stimulation. Use of the model demonstrates clearly that the engineering of Iterative Learning Control with Functional Electrical Stimulation can be used to estimate elasticity and viscous friction parameters. Previous dynamic models have not included a full description of the passive arm properties. These data can be used to monitor clinical treatment. This research featured in a Department of Health report presented to parliament 2007-08 and contributed to the subsequent award of EPRSC grant (EP/I01909X/1; £464,231).

Interdisciplinary

Cross-referral requested

Research group

None

Proposed double-weighted

Double-weighted statement

Reserve for a double-weighted output

Non-English

English abstract