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Prediction of lower extremities' movement by angle-angle diagrams and neural networks
P. Kutilek, B. Farkasova,
Jazyk angličtina Země Polsko
Typ dokumentu časopisecké články, práce podpořená grantem
NLK
Free Medical Journals
od 1999
Medline Complete (EBSCOhost)
od 2007-01-01
ROAD: Directory of Open Access Scholarly Resources
od 1999
PubMed
22097908
Knihovny.cz E-zdroje
- MeSH
- analýza hlavních komponent MeSH
- bérec fyziologie MeSH
- bioinženýrství metody MeSH
- biologické modely MeSH
- biomechanika MeSH
- chůze fyziologie MeSH
- infračervené záření MeSH
- koleno fyziologie MeSH
- kotník fyziologie MeSH
- kyčel fyziologie MeSH
- lidé MeSH
- neuronové sítě MeSH
- Check Tag
- lidé MeSH
- Publikační typ
- časopisecké články MeSH
- práce podpořená grantem MeSH
In contemporary science, the analysis of human walking is extensively used. The prediction of leg motion, as well as rehabilitation, can be usable for orthosis and prosthesis programing. Our work is focused on predicting of human walking by angle-angle diagrams, also called cyclograms. The applications of cyclograms in conjunction with artificial intelligence offers wide area of applications in medicine. But until now, this approach has not been studied or applied in practice.
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- $a Kutilek, Patrik $u Faculty of Biomedical Engineering, Czech Technical University in Prague, Czech Republic. kutilek@fbmi.cvut.cz
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- $a In contemporary science, the analysis of human walking is extensively used. The prediction of leg motion, as well as rehabilitation, can be usable for orthosis and prosthesis programing. Our work is focused on predicting of human walking by angle-angle diagrams, also called cyclograms. The applications of cyclograms in conjunction with artificial intelligence offers wide area of applications in medicine. But until now, this approach has not been studied or applied in practice.
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