DocumentCode :
3192796
Title :
Assessment of functional impairment in human locomotion: A fuzzy-motivated approach
Author :
Alaqtash, Murad ; Sarkodie-Gyan, Thompson ; Kreinovich, Vladik
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Texas at El Paso, El Paso, TX, USA
fYear :
2012
fDate :
6-8 Aug. 2012
Firstpage :
1
Lastpage :
6
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.
Keywords :
fuzzy set theory; gait analysis; neurophysiology; patient rehabilitation; disordered motion; functional impairment assessment; fuzzy-based semi-heuristic method; fuzzy-motivated approach; human gait modeling; human locomotion; neurological disorders; rehabilitation; Fuzzy sets; Humans; Legged locomotion; Medical diagnostic imaging; Medical services; Monitoring; Sensors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Fuzzy Information Processing Society (NAFIPS), 2012 Annual Meeting of the North American
Conference_Location :
Berkeley, CA
ISSN :
pending
Print_ISBN :
978-1-4673-2336-9
Electronic_ISBN :
pending
Type :
conf
DOI :
10.1109/NAFIPS.2012.6291038
Filename :
6291038
Link To Document :
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