Numerical Identification of Motor Units Using an Optimal Control Approach

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Title: Numerical Identification of Motor Units Using an Optimal Control Approach
Authors: Sproll, TobiasSchiela, AntonLowery, Madeleine M.
Permanent link: http://hdl.handle.net/10197/9347
Date: 23-Feb-2018
Online since: 2018-04-25T15:38:10Z
Abstract: A numerical approach to locate motor units in human muscles by big density surface EMG measurements is presented. For this purpose a mathematical model has been derived which can be evaluated by finite element computations. On that basis an optimal control problem is specified that can be solved by a function space oriented optimization method. Numerical results are reported for a test problem.
Funding Details: European Commission Horizon 2020
European Research Council
Type of material: Conference Publication
Publisher: International Federation of Automatic Control
Copyright (published version): 2018 International Federation of Automatic Control
Keywords: Optimal controlFinite elementsElectromyographyMedical applications
Other versions: http://www.mathmod.at/
Language: en
Status of Item: Peer reviewed
Conference Details: MATHMOD 2018 - 9th Vienna International Conference on Mathematical Modelling, Vienna, Austria, 21-23 February 2018
This item is made available under a Creative Commons License: https://creativecommons.org/licenses/by-nc-nd/3.0/ie/
Appears in Collections:Electrical and Electronic Engineering Research Collection

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