Machine-based classification of ADHD and nonADHD participants using time/frequency features of event-related neuroelectric activity.

Journal: Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology
Published Date: Dec 1, 2017

Abstract

OBJECTIVE: Attention-deficit/hyperactivity disorder (ADHD) is the most frequent diagnosis among children who are referred to psychiatry departments. Although ADHD was discovered at the beginning of the 20th century, its diagnosis is still confronted with many problems.

Authors

  • Hüseyin Öztoprak
    Electric Electronic Engineering Department, Cyprus International University, Lefkosa, Turkish Republic of Northern, Cyprus. Electronic address: hoztoprak@ciu.edu.tr.
  • Mehmet Toycan
    Electric Electronic Engineering Department, Cyprus International University, Lefkosa, Turkish Republic of Northern, Cyprus.
  • Yaşar Kemal Alp
    Radar, Electronic Warfare and Intelligence Systems Division, Aselsan, Ankara, Turkey.
  • Orhan Arıkan
    Bilkent University, Department of Electrical Engineering, 06533 Bilkent, Ankara, Turkey.
  • Elvin Doğutepe
    Neurometrika Medical Technologies LLC, 06800 Ankara, Turkey; Doğuş University, Department of Psychology, 34722 Kadıköy, İstanbul, Turkey.
  • Sirel Karakaş
    Neurometrika Medical Technologies LLC, 06800 Ankara, Turkey; Doğuş University, Department of Psychology, 34722 Kadıköy, İstanbul, Turkey.

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