O 037 – Estimating musculotendon forces in children with cerebral palsy

The importance of the use of electromyography in neuromusculoskeletal modelling

Abstract (2018)

Authors

K. Veerkamp Griffith University, Amsterdam UMC, Vrije Universiteit Amsterdam
Wouter Schallig Amsterdam UMC
J. Harlaar Amsterdam UMC, Biomechatronics & Human-Machine Control - Mechanical, Maritime and Materials Engineering
C. Pizzolato Griffith University
Christopher P. Carty Griffith University
D. G. Lloyd Griffith University
M. van der Krogt Amsterdam UMC
Research Group
Biomechatronics & Human-Machine Control (Mechanical, Maritime and Materials Engineering) (TU Delft)
More Info
expand_more

Published Date

2018

Language

English

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.

Faculty

Mechanical, Maritime and Materials Engineering

Department

Biomechanical Engineering

Research Group

Biomechatronics & Human-Machine Control

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.