Prediction of lower extremities' movement by angle-angle diagrams and neural networks
Language English Country Poland Media print
Document type Journal Article, Research Support, Non-U.S. Gov't
PubMed
22097908
PII: 101194794
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.
