Machine-Based Classification of ADHD and nonADHD Participants Using Time/Frequency Features of Event-Related Neuroelectric Activity

Biological signals are a challenge to analyse. Among these signals, the electrophysiological activity of the human brain during cognitive processing is undoubtedly the most challenging. For decades, neuroscientists have been studying the brain-mind relationship based on the electrophysiological responses of the brain. Most studies have been performed on signals in the time domain in the form of event-related potentials (ERPs). The starting point of a second approach was based on the principle that complex signals are composed of oscillatory responses of different frequencies (for a review, see Başar, 2011; Karakaş and Barry, 2017; Karakaş and Başar, 2004).

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