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Author Alaqtash, M. ♦ Sarkodie-Gyan, T. ♦ Kreinovich, V.
Source IEEE Xplore Digital Library
Content type Text
Publisher Institute of Electrical and Electronics Engineers, Inc. (IEEE)
File Format PDF
Copyright Year ©2012
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Special computer methods
Subject Keyword Legged locomotion ♦ Humans ♦ Sensors ♦ Monitoring ♦ Medical services ♦ Fuzzy sets ♦ Medical diagnostic imaging
Abstract Many neurological disorders result in disordered motion. The effects of a disorder can be decrease by an appropriate rehabilitation. To make rehabilitation efficient, we need to monitor the patient and check how well he or she improves. In our previous papers, we proposed a fuzzy-based semi-heuristic method of gauging how well a patient improved. Surprisingly, this semi-heuristic method turned out to be more efficient that we expected. In this paper, we provide a justification for this efficiency. In the future, it is desirable to combine this fuzzy-assessment approach with results by Alavarez-Alvarez, Trivino, and Cordón who use fuzzy techniques for modeling human gait.
Description Author affiliation: Departments of Electrical and Computer Engineering and University of Texas at El Paso, 500 W. University, El Paso, TX 79968, USA (Alaqtash, M.; Sarkodie-Gyan, T.) || Departments of Computer Science, University of Texas at El Paso, 500 W. University, El Paso, TX 79968, USA (Kreinovich, V.)
ISBN 9781467323369
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research ♦ Reading
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2012-08-06
Publisher Place USA
Rights Holder Institute of Electrical and Electronics Engineers, Inc. (IEEE)
e-ISBN 9781467323383
Size (in Bytes) 524.20 kB
Page Count 6
Starting Page 1
Ending Page 6


Source: IEEE Xplore Digital Library