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A kinematic based evaluation of upper extremity movement smoothness for tele-rehabilitation

Li, Saiyi and Pathirana, Pubudu N. 2015, A kinematic based evaluation of upper extremity movement smoothness for tele-rehabilitation. In Geissbuhler, Antoine, Demongeot, Jacques, Mokhtari, Mounir, Abdulrazak, Bessam and Aloulou, Hamdi (ed), Inclusive smart cities and e-Health : 13th International Conference on smart homes and health telematics, ICOST 2015 Geneva, Switzerland, June 10-12, 2015 Proceedings, Springer, Berlin, Germany, pp.221-231, doi: 10.1007/978-3-319-19312-0_18.

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Title A kinematic based evaluation of upper extremity movement smoothness for tele-rehabilitation
Author(s) Li, Saiyi
Pathirana, Pubudu N.ORCID iD for Pathirana, Pubudu N. orcid.org/0000-0001-8014-7798
Title of book Inclusive smart cities and e-Health : 13th International Conference on smart homes and health telematics, ICOST 2015 Geneva, Switzerland, June 10-12, 2015 Proceedings
Editor(s) Geissbuhler, Antoine
Demongeot, Jacques
Mokhtari, Mounir
Abdulrazak, Bessam
Aloulou, Hamdi
Publication date 2015
Series Lecture Notes in Computer Science; v.9102
Chapter number 18
Total chapters 39
Start page 221
End page 231
Total pages 11
Publisher Springer
Place of Publication Berlin, Germany
Summary Tele-rehabilitation has been widely studied in recent year, although a number of crucial issues has not been addressed. Quantitatively assessing exercise performance is vital in monitoring the progress in exercise based rehabilitation. This allows physiotherapists not only to refine rehabilitation plans, but also provides instant feedback to patients and facilitate the exercise performance in non-clinical setting. In this paper, we propose to evaluate the performance of upper extremity reaching tasks with in a kinematic perspective by assessing the smoothness of motion trajectories with the entropy of shape model, including curvature and torsion. The simulation result confirms that approximate entropy of shape model is consistent with the change of the smoothness in motion trajectory while it is capable of classifying six levels of the ability to perform upper extremity reaching tasks with higher accuracy.
ISBN 9783319193113
3319193112
ISSN 0302-9743
Language eng
DOI 10.1007/978-3-319-19312-0_18
Field of Research 090305 Rehabilitation Engineering
Socio Economic Objective 970109 Expanding Knowledge in Engineering
HERDC Research category B1 Book chapter
ERA Research output type B Book chapter
Copyright notice ©2015, Springer
Persistent URL http://hdl.handle.net/10536/DRO/DU:30078996

Document type: Book Chapter
Collection: School of Engineering
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