A quality of performance model for evaluating post-stroke patients

Atif Alamri; Mohamad Eid; Abdulmotaleb El Saddik

doi:10.1109/CIMSA.2008.4595824

A quality of performance model for evaluating post-stroke patients

Atif Alamri, Mohamad Eid, Abdulmotaleb El Saddik

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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.

Original language	English (US)
Title of host publication	CIMSA 2008 - IEEE Conference on Computational Intelligence for Measurement Systems and Applications Proceedings
Pages	14-18
Number of pages	5
DOIs	https://doi.org/10.1109/CIMSA.2008.4595824
State	Published - 2008
Event	2008 IEEE International Conference on Computational Intelligence for Measurement Systems and Applications, IEEE CIMSA 2008 - Istanbul, Turkey Duration: Jul 14 2008 → Jul 16 2008

Publication series

Name	CIMSA 2008 - IEEE Conference on Computational Intelligence for Measurement Systems and Applications Proceedings

Other

Other	2008 IEEE International Conference on Computational Intelligence for Measurement Systems and Applications, IEEE CIMSA 2008
Country/Territory	Turkey
City	Istanbul
Period	7/14/08 → 7/16/08

ASJC Scopus subject areas

Artificial Intelligence
Computational Theory and Mathematics
Control and Systems Engineering

Access to Document

10.1109/CIMSA.2008.4595824

Cite this

Alamri, A., Eid, M., & Saddik, A. E. (2008). A quality of performance model for evaluating post-stroke patients. In CIMSA 2008 - IEEE Conference on Computational Intelligence for Measurement Systems and Applications Proceedings (pp. 14-18). Article 4595824 (CIMSA 2008 - IEEE Conference on Computational Intelligence for Measurement Systems and Applications Proceedings). https://doi.org/10.1109/CIMSA.2008.4595824

A quality of performance model for evaluating post-stroke patients. / Alamri, Atif; Eid, Mohamad; Saddik, Abdulmotaleb El.
CIMSA 2008 - IEEE Conference on Computational Intelligence for Measurement Systems and Applications Proceedings. 2008. p. 14-18 4595824 (CIMSA 2008 - IEEE Conference on Computational Intelligence for Measurement Systems and Applications Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Alamri, A, Eid, M & Saddik, AE 2008, A quality of performance model for evaluating post-stroke patients. in CIMSA 2008 - IEEE Conference on Computational Intelligence for Measurement Systems and Applications Proceedings., 4595824, CIMSA 2008 - IEEE Conference on Computational Intelligence for Measurement Systems and Applications Proceedings, pp. 14-18, 2008 IEEE International Conference on Computational Intelligence for Measurement Systems and Applications, IEEE CIMSA 2008, Istanbul, Turkey, 7/14/08. https://doi.org/10.1109/CIMSA.2008.4595824

Alamri A, Eid M, Saddik AE. A quality of performance model for evaluating post-stroke patients. In CIMSA 2008 - IEEE Conference on Computational Intelligence for Measurement Systems and Applications Proceedings. 2008. p. 14-18. 4595824. (CIMSA 2008 - IEEE Conference on Computational Intelligence for Measurement Systems and Applications Proceedings). doi: 10.1109/CIMSA.2008.4595824

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A quality of performance model for evaluating post-stroke patients

Abstract

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