O 037 – Estimating musculotendon forces in children with cerebral palsy

The importance of the use of electromyography in neuromusculoskeletal modelling

Abstract (2018)
Author(s)

K. Veerkamp (Amsterdam UMC, Vrije Universiteit Amsterdam, Griffith University)

W. Schallig (Amsterdam UMC)

J. Harlaar (Amsterdam UMC, TU Delft - Biomechatronics & Human-Machine Control)

C. Pizzolato (Griffith University)

C. P. Carty (Griffith University)

D.G. Lloyd (Griffith University)

M.M. van der Krogt (Amsterdam UMC)

Research Group
Biomechatronics & Human-Machine Control
DOI related publication
https://doi.org/10.1016/j.gaitpost.2018.06.055 Final published version
More Info
expand_more
Publication Year
2018
Language
English
Research Group
Biomechatronics & Human-Machine Control
Issue number
Supplement 1
Volume number
65
Pages (from-to)
76-77
Event
27th Annual Meeting of the European Society for Movement Analysis in Adults and Children (ESMAC 2018). (2018-09-24 - 2018-09-29), Prague, Czech Republic
Downloads counter
140
Reuse Rights

Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.

Abstract

Computational modelling of the neuromusculoskeletal system (NMSS) can potentially provide detailed insight into muscle function to optimize treatment planning and evaluation in cerebral palsy (CP). Commonly, static optimization is used to solve the redundancy problem in estimating muscle forces, assuming, for example, minimization of the muscle activation squared. However, since the primary problem in children with CP is an aberrant motor control [1], it is questionable if using this criterion is applicable in this clinical population. Electromyography (EMG) might be used to further inform optimization procedures and improve model performance.

Files

1_s2.0_S0966636218307823_main.... (pdf)
(pdf | 0.36 Mb)
- Embargo expired in 19-12-2018
License info not available