Repository logo
  • Log In
    New user? Click here to register.Have you forgotten your password?
University College Dublin
    Colleges & Schools
    Statistics
    All of DSpace
  • Log In
    New user? Click here to register.Have you forgotten your password?
  1. Home
  2. College of Engineering & Architecture
  3. School of Electrical and Electronic Engineering
  4. Electrical and Electronic Engineering Research Collection
  5. Numerical Identification of Motor Units Using an Optimal Control Approach
 
  • Details
Options

Numerical Identification of Motor Units Using an Optimal Control Approach

Author(s)
Sproll, Tobias  
Schiela, Anton  
Lowery, Madeleine M.  
Uri
http://hdl.handle.net/10197/9347
Date Issued
2018-02-23
Date Available
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.
Sponsorship
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
Subjects

Optimal control

Finite elements

Electromyography

Medical applications

Web versions
http://www.mathmod.at/
Language
English
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/
File(s)
Loading...
Thumbnail Image
Name

Sproll_et_al_2018.pdf

Size

382.12 KB

Format

Adobe PDF

Checksum (MD5)

4c084c7f76593868f50524921be68cba

Owning collection
Electrical and Electronic Engineering Research Collection

Item descriptive metadata is released under a CC-0 (public domain) license: https://creativecommons.org/public-domain/cc0/.
All other content is subject to copyright.

For all queries please contact research.repository@ucd.ie.

Built with DSpace-CRIS software - Extension maintained and optimized by 4Science

  • Cookie settings
  • Privacy policy
  • End User Agreement