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Numerical Identification of Motor Units using an Optimal Control Approach

Title data

Sproll, Tobias ; Schiela, Anton ; Lowery, Madeleine:
Numerical Identification of Motor Units using an Optimal Control Approach.
In: IFAC-PapersOnLine. Vol. 51 (2018) Issue 2 . - 174 - 179.
ISSN 2405-8963
DOI: https://doi.org/10.1016/j.ifacol.2018.03.030

Official URL: Volltext

Abstract in another language

A numerical approach to locate motor units in human muscles by high 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.

Further data

Item Type: Article in a journal
Refereed: Yes
Keywords: Optimal control; Finite elements; Electromyography; Medical applications; Biomedical modeling
Institutions of the University: Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Mathematics > Chair Mathematics V (Applied Mathematics)
Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Mathematics > Professorship Applied Mathematics (Applied Mathematics) > Professorship Applied Mathematics (Applied Mathematics) - Univ.-Prof. Dr. Anton Schiela
Profile Fields > Advanced Fields > Nonlinear Dynamics
Research Institutions > Research Centres > Forschungszentrum für Modellbildung und Simulation (MODUS)
Faculties
Faculties > Faculty of Mathematics, Physics und Computer Science
Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Mathematics
Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Mathematics > Professorship Applied Mathematics (Applied Mathematics)
Profile Fields
Profile Fields > Advanced Fields
Research Institutions
Research Institutions > Research Centres
Result of work at the UBT: Yes
DDC Subjects: 500 Science > 510 Mathematics
600 Technology, medicine, applied sciences > 610 Medicine and health
600 Technology, medicine, applied sciences > 620 Engineering
Date Deposited: 15 May 2018 09:00
Last Modified: 28 May 2018 11:46
URI: https://eref.uni-bayreuth.de/id/eprint/44157