Using fuzzy logic for diagnosis and classification of spasticity
Author(s) -
Veysel Alcan,
Mehmet Rahmi Canal,
Murat Zinnuroğlu
Publication year - 2017
Publication title -
turkish journal of medical sciences
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.277
H-Index - 27
eISSN - 1303-6165
pISSN - 1300-0144
DOI - 10.3906/sag-1512-65
Subject(s) - spasticity , medicine , physical medicine and rehabilitation , electromyography , fuzzy logic , dorsum , artificial intelligence , computer science , anatomy
Spasticity is generally defined as a sensory-motor control disorder. However, there is no pathophysiological mechanism or appropriate measurement and evaluation standards that can explain all aspects of a possible spasticity occurrence. The objective of this study is to develop a fuzzy logic classifier (FLC) diagnosis system, in which a quantitative evaluation is performed by surface electromyography (EMG), and investigate underlying pathophysiological mechanisms of spasticity.
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