Using fuzzy logic for diagnosis and classification of spasticity.

Journal: Turkish journal of medical sciences
Published Date: Feb 27, 2017

Abstract

BACKGROUND/AIM: 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.

Authors

  • Veysel Alcan
    Department of Electricity-Electronics Technology, Ministry of National Education, Ankara, Turkey.
  • Mehmet Rahmi Canal
    Department of Computer Engineering, Faculty of Technology, Gazi University, Ankara, Turkey.
  • Murat Zinnuroğlu
    Department of Physical Medicine and Rehabilitation, Faculty of Medicine, Gazi University, Ankara, Turkey.

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