de.mpg.escidoc.pubman.appbase.FacesBean
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A real-time model of the human knee for application in virtual orthopaedic trainer

MPG-Autoren
http://pubman.mpdl.mpg.de/cone/persons/resource/persons84135

Peters,  J
Department Empirical Inference, Max Planck Institute for Biological Cybernetics, Max Planck Society;
Dept. Empirical Inference, Max Planck Institute for Intelligent Systems, Max Planck Society;

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Zitation

Peters, J. (2000). A real-time model of the human knee for application in virtual orthopaedic trainer. In 10th International Conference on BioMedical Engineering (ICBME 2000) (pp. 1-2).


Zitierlink: http://hdl.handle.net/11858/00-001M-0000-0013-E3E8-3
Zusammenfassung
In this paper a real-time capable computational model of the human knee is presented. The model describes the passive elastic joint characteristics in six degrees-of-freedom (DOF). A black-box approach was chosen, where experimental data were approximated by piecewise polynomial functions. The knee model has been applied in a the Virtual Orthopaedic Trainer, which can support training of physical knee evaluation required for diagnosis and surgical planning.