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

EEG data processing in ADHD diagnosis and neurofeedback

Zoran Šverko   ORCID icon 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 icon 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 icon 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: 40* citiraj
APA 6th Edition
Šverko, Z., Vlahinić, S., Vrankić, M. i Markovinović, I. (2020). EEG data processing in ADHD diagnosis and neurofeedback. Engineering Review, 40 (3), 116-123. https://doi.org/10.30765/er.40.3.12
MLA 8th Edition
Šverko, Zoran, et al. "EEG data processing in ADHD diagnosis and neurofeedback." Engineering Review, vol. 40, br. 3, 2020, str. 116-123. https://doi.org/10.30765/er.40.3.12. Citirano 11.08.2020.
Chicago 17th Edition
Šverko, Zoran, Saša Vlahinić, Miroslav Vrankić i Ivan Markovinović. "EEG data processing in ADHD diagnosis and neurofeedback." Engineering Review 40, br. 3 (2020): 116-123. https://doi.org/10.30765/er.40.3.12
Harvard
Šverko, Z., et al. (2020). 'EEG data processing in ADHD diagnosis and neurofeedback', Engineering Review, 40(3), str. 116-123. https://doi.org/10.30765/er.40.3.12
Vancouver
Šverko Z, Vlahinić S, Vrankić M, Markovinović I. EEG data processing in ADHD diagnosis and neurofeedback. Engineering Review [Internet]. 2020 [pristupljeno 11.08.2020.];40(3):116-123. https://doi.org/10.30765/er.40.3.12
IEEE
Z. Šverko, S. Vlahinić, M. Vrankić i I. Markovinović, "EEG data processing in ADHD diagnosis and neurofeedback", Engineering Review, vol.40, br. 3, str. 116-123, 2020. [Online]. https://doi.org/10.30765/er.40.3.12

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

Posjeta: 98 *