EEG DATA PROCESSING IN ADHD DIAGNOSIS AND NEUROFEEDBACK (CROSBI ID 274944)
Prilog u časopisu | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Šverko, Zoran ; Vlahinić, Saša ; Vrankić, Miroslav ; Markovinović, Ivan
engleski
EEG DATA PROCESSING IN ADHD DIAGNOSIS AND NEUROFEEDBACK
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.
EEG ; Data processing ; Neurofeedback
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Podaci o izdanju
40 (3)
2020.
116-123
objavljeno
1330-9587
1849-0433
10.30765/er.40.3.12
Povezanost rada
Elektrotehnika, Informacijske i komunikacijske znanosti, Interdisciplinarne tehničke znanosti