Numerical Identification of Motor Units Using an Optimal Control Approach
|Title:||Numerical Identification of Motor Units Using an Optimal Control Approach||Authors:||Sproll, Tobias; Schiela, Anton; Lowery, 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 control; Finite elements; Electromyography; Medical 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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