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research article

A visualization framework for the analysis of neuromuscular simulations

Pronost, Nicolas
•
Sandholm, Anders  
•
Thalmann, Daniel  
2011
Visual Computer

We present a visualization framework for exploring and analyzing data sets from biomechanical and neuromuscular simulations. These data sets describe versatile information related to the different stages of a motion analysis. In studying these data using a 3D visualization approach, interactive exploring is important, especially for supporting spatial analysis. Moreover, as these data contain many various but related elements, numerical analysis of neuromuscular simulations is complicated. Visualization techniques enhance the analysis process, thus improving the effectiveness of the experiments. Our approach allows convenient definitions of relationships between numerical data sets and 3D objects. Scientific simulation data sets appropriate for this style of analysis are present everywhere motion analysis is performed and are predominant in many clinical works. In this paper, we outline the functionalities of the framework as well as applications embedded within the OpenSim simulation platform. These functionalities form an effective approach specifically designed for the investigation of neuromuscular simulations. This claim is supported by evaluation experiments where the framework was used to analyze gaits and crouch motions.

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Type
research article
DOI
10.1007/s00371-010-0534-y
Web of Science ID

WOS:000287449900004

Author(s)
Pronost, Nicolas
Sandholm, Anders  
Thalmann, Daniel  
Date Issued

2011

Publisher

Springer-Verlag

Published in
Visual Computer
Volume

27

Start page

109

End page

119

Subjects

Scientific visualization

•

Biomechanics and neuromuscular simulation

•

Motion analysis

•

OpenSim software

•

Lower-Extremity

•

Lower-Limb

•

Movement

•

Muscle

•

Model

•

Kinematics

•

Gait

Note

National Licences

Editorial or Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
VRLAB  
Available on Infoscience
December 16, 2011
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/74471
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