z-logo
open-access-imgOpen Access
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.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom