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A Kinematic Based Evaluation of Upper Extremity Movement Smoothness for Tele-Rehabilitation
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.
A Kinematic Based Evaluation of Upper Extremity Movement Smoothness for Tele-Rehabilitation
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.
A Kinematic Based Evaluation of Upper Extremity Movement Smoothness for Tele-Rehabilitation
Lect.Notes Computer
Geissbühler, Antoine (Herausgeber:in) / Demongeot, Jacques (Herausgeber:in) / Mokhtari, Mounir (Herausgeber:in) / Abdulrazak, Bessam (Herausgeber:in) / Aloulou, Hamdi (Herausgeber:in) / Li, Saiyi (Autor:in) / Pathirana, Pubudu N. (Autor:in)
International Conference on Smart Homes and Health Telematics ; 2015 ; Geneva, Switzerland
30.05.2015
11 pages
Aufsatz/Kapitel (Buch)
Elektronische Ressource
Englisch
Carpal Tunnel Syndrome , Gaussian Mixture Model , Shannon Entropy , Motion Trajectory , Shape Model Computer Science , Special Purpose and Application-Based Systems , User Interfaces and Human Computer Interaction , Information Systems Applications (incl. Internet) , Artificial Intelligence , Image Processing and Computer Vision , Information Storage and Retrieval
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