Title :
A quality of performance model for evaluating post-stroke patients
Author :
Alamri, Atif ; Eid, Mohamad ; Saddik, Abdulmotaleb El
Author_Institution :
Multimedia Commun. Res. Lab., Univ. of Ottawa, Ottawa, ON
Abstract :
Augmented reality (AR) has recently emerged as an assistive tool for effective diagnosis and rehabilitation intervention. However, measuring the quality of performance (QoP) of patients has gained limited attention from the research community. The objective of this paper is to propose and test a evaluation taxonomy for an AR-based stroke patient rehabilitation system that is currently under development at the MCRlab, University of Ottawa. The taxonomy is modeled using a fuzzy logic inference (FLI) system to quantitatively measure the QoP of the patient and eventually provide the therapist with discrete recommendation regarding the progress of patient treatment.
Keywords :
augmented reality; fuzzy logic; medical computing; patient rehabilitation; patient treatment; MCRlab; augmented reality; discrete recommendation; evaluation taxonomy; fuzzy logic inference; patient treatment; performance model quality; post-stroke patients; quality of performance; rehabilitation intervention; stroke patient rehabilitation system; Computational intelligence; Fingers; Fuzzy logic; Haptic interfaces; Medical treatment; Multimedia communication; Patient monitoring; Patient rehabilitation; Taxonomy; Testing;
Conference_Titel :
Computational Intelligence for Measurement Systems and Applications, 2008. CIMSA 2008. 2008 IEEE International Conference on
Conference_Location :
Istanbul
Print_ISBN :
978-1-4244-2305-7
Electronic_ISBN :
978-1-4244-2306-4
DOI :
10.1109/CIMSA.2008.4595824
