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InTech
Part of book or chapter of book . 2011
Data sources: InTech
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https://www.intechopen.com/cit...
Part of book or chapter of book
License: CC BY
Data sources: UnpayWall
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https://doi.org/10.5772/23817...
Part of book or chapter of book . 2011 . Peer-reviewed
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Biomechanical Computer Models

Authors: Engel, Karsten; Herpers, Rainer; Hartmann, Ulrich;

Biomechanical Computer Models

Abstract

In the past decade computer models have become very popular in the field of biomechanics due to exponentially increasing computer power. Biomechanical computer models can roughly be subdivided into two groups: multi-body models and numerical models. The theoretical aspects of both modelling strategies will be introduced. However, the focus of this chapter lies on demonstrating the power and versatility of computer models in the field of biomechanics by presenting sophisticated finite element models of human body parts. Special attention is paid to explain the setup of individual models using medical scan data. In order to reach the goal of individualising the model a chain of tools including medical imaging, image acquisition and processing, mesh generation, material modelling and finite element simulation –possibly on parallel computer architecturesbecomes necessary. The basic concepts of these tools are described and application results are presented. The chapter ends with a short outlook into the future of computer biomechanics. The field of biomechanics suffers from one very severe restriction; in general it is not possible for ethical reasons to measure forces and pressure inside the human body. Thus, typical measurement technology in biomechanics works on the interface between body and environment. Force platforms dynamically quantify reaction forces when a person is walking or running across the sensor, electromyography (EMG) monitors action potentials of contracting muscles with electrodes attached to the human skin. The information provided by the measurement technology is very important to investigate the mechanics of movements, but is not sufficient to answer questions like: • How can we optimise movements (e.g. in sports or rehabilitation) in order to minimise the loads on the joints? How can we better understand mechanisms of injury and thus improve prevention? These questions are related to the human body. • How do we have to design the equipment to optimally suit the patient’s or the athlete’s requirements in terms of mechanical behaviour? These questions are related to the medical or technical equipment. This optimisation process has three aspects: • Ineffective and destructive loading has to be minimised (e.g. by damping through innovative cushions in the shoe sole or improved orthotic devices). • Body protection has to be maximised (e.g. through better design of cyclists’ helmets or the interior of automobiles).

Country
Germany
Keywords

ddc:004

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    1
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
Green
hybrid