Document Detail


Prediction of lower extremities' movement by angle-angle diagrams and neural networks.
MedLine Citation:
PMID:  22097908     Owner:  NLM     Status:  In-Data-Review    
Abstract/OtherAbstract:
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.
Authors:
Patrik Kutilek; Barbora Farkasova
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Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  Acta of bioengineering and biomechanics / Wrocław University of Technology     Volume:  13     ISSN:  1509-409X     ISO Abbreviation:  Acta Bioeng Biomech     Publication Date:  2011  
Date Detail:
Created Date:  2011-11-21     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  101194794     Medline TA:  Acta Bioeng Biomech     Country:  Poland    
Other Details:
Languages:  eng     Pagination:  57-65     Citation Subset:  IM    
Affiliation:
Faculty of Biomedical Engineering, Czech Technical University in Prague, Czech Republic.
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