Detection of ataxia in low disability MS patients by hybrid convolutional neural networks based on images of plantar pressure distribution.

Journal: Multiple sclerosis and related disorders
PMID: 34555759

Abstract

BACKGROUND: This study aimed to detect ataxia in patients with multiple sclerosis (PwMS) with a deep learning-based approach based on images showing plantar pressure distribution of the patients. The secondary aim of the study was to investigate an alternative and objective method in the early diagnosis of ataxia in these patients.

Authors

  • Ferhat Balgetir
    Firat University, Faculty of Medicine, 23119 Elazig, Turkey. Electronic address: ferhatbalgetir@firat.edu.tr.
  • Furkan Bilek
    Department of Physiotherapy and Rehabilitation, Faculty of Health Sciences, Fırat University, Elazığ, Turkey. Electronic address: fzt.furkanbilek@gmail.com.
  • Serkan Kakakus
    Department of Software Engineering, Faculty of Engineering, Fırat University, Elazığ, Turkey.
  • Seda Arslan-Tuncer
    Faculty of Engineering, Department of Software Engineering, Fırat University, Elazığ, 23119, Turkey.
  • Caner Feyzi Demir
    Department of Neurology, Faculty of Medical, Fırat University, Elazığ, Turkey.

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