EEG data processing in ADHD diagnosis and neurofeedback

Zoran Šverko, Saša Vlahinić, Miroslav Vrankić, Ivan Markovinović

Abstract


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 nonADHD (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.


Keywords


EEG; data processing; neurofeedback

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ISSN 1330-9587 (Print), ISSN 1849-0433 (Online)

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