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Prediction of lower extremities' movement by angle-angle diagrams and neural networks
P. Kutilek, B. Farkasova,
Language English Country Poland
Document type Journal Article, Research Support, Non-U.S. Gov't
NLK
Free Medical Journals
from 1999
Medline Complete (EBSCOhost)
from 2007-01-01
ROAD: Directory of Open Access Scholarly Resources
from 1999
PubMed
22097908
Knihovny.cz E-resources
- MeSH
- Principal Component Analysis MeSH
- Leg physiology MeSH
- Bioengineering methods MeSH
- Models, Biological MeSH
- Biomechanical Phenomena MeSH
- Walking physiology MeSH
- Infrared Rays MeSH
- Knee physiology MeSH
- Ankle physiology MeSH
- Hip physiology MeSH
- Humans MeSH
- Neural Networks, Computer MeSH
- Check Tag
- Humans MeSH
- Publication type
- Journal Article MeSH
- Research Support, Non-U.S. Gov't 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 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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