Analysis and prediction of upper extremity movements by cyclograms

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21460%2F14%3A00221623" target="_blank" >RIV/68407700:21460/14:00221623 - isvavai.cz</a>
Result on the web
<a href="http://link.springer.com/article/10.2478/s11536-013-0322-y" target="_blank" >http://link.springer.com/article/10.2478/s11536-013-0322-y</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.2478/s11536-013-0322-y" target="_blank" >10.2478/s11536-013-0322-y</a>

Result language
angličtina
Original language name
Analysis and prediction of upper extremity movements by cyclograms
Original language description
Quantification of upper extremity movement is a common objective in both research and clinical practice. Currently, methods based on angle-angle diagrams, also called cyclograms, seem to be promising. Nevertheless, compared to the study of lower limbs, the concept of angle-angle diagrams has not been systematically used to study upper limb movements during walking. The paper describes two examples of new methods based on angle-angle diagrams for application in rehabilitation and assistive robotics. Thecyclograms represent information about the relationship between the angles and their changes over time. We used cyclograms as patterns for learning artificial neural networks and predicting the movement of upper-limb. Together with artificial intelligence, cyclograms offer wide scope of application in prosthesis control systems. Using bilateral cyclogram, the information about the relationship between the right and left arm joint angles is used to evaluate the symmetry of movements. The
Czech name
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Czech description
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Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
EI - Biotechnology and bionics
OECD FORD branch
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Publication year
2014
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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