Cognitive activity analysis of Parkinson's patients using artificial intelligence techniques.

Journal: Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology
Published Date: Sep 11, 2024

Abstract

PURPOSE: The development of modern Artificial Intelligence (AI) based models for the early diagnosis of Parkinson's disease (PD) has been gaining deep attention by researchers recently. In particular, the use of different types of datasets (voice, hand movements, gait, etc.) increases the variety of up-to-date models. Movement disorders and tremors are also among the most prominent symptoms of PD. The usage of drawings in the detection of PD can be a crucial decision-support approach that doctors can benefit from.

Authors

  • Bahar Demir
    Department of Computational Sciences, Trakya University, Edirne, 22030, Turkey. bahardemir@trakya.edu.tr.
  • Sinem Ayna Altuntaş
    Department of Computational Sciences, Trakya University, Edirne, 22030, Turkey.
  • İlke Kurt
    Department of Computational Sciences, Trakya University, Edirne, 22030, Turkey.
  • Sezer Ulukaya
    Department of Electrical and Electronics Engineering, Boǧaziçi University, 34342, Istanbul, Turkey; Department of Electrical and Electronics Engineering, Trakya University, 22030, Edirne, Turkey. Electronic address: sezer.ulukaya@boun.edu.tr.
  • Oğuzhan Erdem
    Department of Electrical and Electronics Engineering, Trakya University, Edirne, 22030, Turkey.
  • Sibel Güler
    Department of Neurology, Yalova University Faculty of Medicine, Yalova, 77200, Turkey. sibel.guler@yalova.edu.tr.
  • Cem Uzun
    Department of Otorhinolaryngology, Head and Neck Surgery, Koç University School of Medicine, İstanbul, 34010, Turkey.

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