Naslov
EEG DATA PROCESSING IN ADHD DIAGNOSIS AND NEUROFEEDBACK

Autori
Šverko, Zoran ; Vlahinić, Saša ; Vrankić, Miroslav ; Markovinović, Ivan

Izvornik
Engineering review (Technical Faculty University of Rijeka) (1330-9587) 40 (2020), 3; 116-123

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
EEG ; Data processing ; Neurofeedback

Sažetak
In this paper, EEG data processing was conducted in order to define the parameters for neurofeedback. A new survey was conducted based on a brief review of previous research. Two groups of participants were chosen: ADHD (3) and non-ADHD (14). The main part of this study includes EEG signal data pre-processing and processing. We have outlined statistical features of observed EEG signals such as mean value, grand-mean value and their ratios. It can be concluded that an increase in grand-mean values of power theta-low beta ratio on Cz electrode gives confirmation of previous research. The value of alpha-delta power ratio higher than 1 on C3, Cz, P3, Pz, P4 in ADHD group is proposed as a new approach to classification. Based on these conclusions we will design a neurofeedback protocol as a continuation of this work.

Izvorni jezik
Engleski

Znanstvena područja
Elektrotehnika, Interdisciplinarne tehničke znanosti, Informacijske i komunikacijske znanosti

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