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https://doi.org/10.30765/er.40.3.12

EEG data processing in ADHD diagnosis and neurofeedback

Zoran Šverko orcid id orcid.org/0000-0003-3461-963X ; Department of Automation and Electronics, Faculty of Engineering, University of Rijeka, Vukovarska 58, 51000 Rijeka, Croatia
Saša Vlahinić orcid id orcid.org/0000-0003-0266-9253 ; Department of Automation and Electronics, Faculty of Engineering, University of Rijeka, Vukovarska 58, 51000 Rijeka, Croatia
Miroslav Vrankić orcid id orcid.org/0000-0002-1036-9261 ; Department of Automation and Electronics, Faculty of Engineering, University of Rijeka, Vukovarska 58, 51000 Rijeka, Croatia
Ivan Markovinović ; Department of Automation and Electronics, Faculty of Engineering, University of Rijeka, Vukovarska 58, 51000 Rijeka, Croatia


Puni tekst: engleski PDF 454 Kb

str. 116-123

preuzimanja: 824

citiraj


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 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.

Ključne riječi

EEG; data processing; neurofeedback

Hrčak ID:

238270

URI

https://hrcak.srce.hr/238270

Datum izdavanja:

21.5.2020.

Posjeta: 2.063 *