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master's thesis
EEG sustav za detekciju P300 signala
Rijeka: University of Rijeka, Faculty of Engineering, 2019. urn:nbn:hr:190:283904
Babić, Sandro
University of Rijeka
Faculty of Engineering
Department of Automation and Electronics
Section of Signals and Systems

Institutional repository: Repository of the University of Rijeka, Faculty of Engineering

Cite this document

Babić, S. (2019). EEG sustav za detekciju P300 signala (Master's thesis). Rijeka: University of Rijeka, Faculty of Engineering. Retrieved from https://urn.nsk.hr/urn:nbn:hr:190:283904

Babić, Sandro. "EEG sustav za detekciju P300 signala." Master's thesis, University of Rijeka, Faculty of Engineering, 2019. https://urn.nsk.hr/urn:nbn:hr:190:283904

Babić, Sandro. "EEG sustav za detekciju P300 signala." Master's thesis, University of Rijeka, Faculty of Engineering, 2019. https://urn.nsk.hr/urn:nbn:hr:190:283904

Babić, S. (2019). 'EEG sustav za detekciju P300 signala', Master's thesis, University of Rijeka, Faculty of Engineering, accessed 24 December 2024, https://urn.nsk.hr/urn:nbn:hr:190:283904

Babić S. EEG sustav za detekciju P300 signala [Master's thesis]. Rijeka: University of Rijeka, Faculty of Engineering; 2019 [cited 2024 December 24] Available at: https://urn.nsk.hr/urn:nbn:hr:190:283904

S. Babić, "EEG sustav za detekciju P300 signala", Master's thesis, University of Rijeka, Faculty of Engineering, Rijeka, 2019. Available at: https://urn.nsk.hr/urn:nbn:hr:190:283904

Metadata
TitleEEG sustav za detekciju P300 signala
Title (english)EEG System for Detection of P300 Signals
AuthorSandro Babić
MentorMiroslav Vrankić (mentor)
Committee memberKristijan Lenac (predsjednik povjerenstva)
Committee memberIvo Ipšić (član povjerenstva)
Committee memberGoran Mauša (član povjerenstva)
GranterUniversity of Rijeka
Faculty of Engineering
(Department of Automation and Electronics)
(Section of Signals and Systems)
Rijeka
Defense date and country2019-09-23, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Diplomski rad opisuje vrste EEG signala i načine njihovog mjerenja. Signal iz mozga prikupljen je neinvazivnom metodom, koristeći V-Amp 16 uređaj s pasivnim elektrodama. Objašnjene su značajke P300 signala i njihova primjena u sustavima za interakciju čovjeka s računalom. U radu je opisan postupak mjerenja, filtriranja, identifikacije i analize P300 komponente iz skupa moždanih signala. Konačno, dan je prijedlog arhitekture sustava mozak-računalo koji bi funkcionirao na temelju obrade EEG signala. Navedene su prednosti i nedostaci takvog sustava.
Abstract (english)
The thesis describes the types of EEG signals and their measurement methods. Signal from the brain was collected by a non-invasive method, using a V-Amp 16 device with passive electrodes. The features of the P300 signals and their application in human-computer interaction are explained. The procedure describes the measurement, filtering, identification and analysis of P300 component from a set o brain signals. Finally, a brain-computer interface architecture based on EEG signal is proposed. The advantages and disadvantages of such an interface are listed.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:190:283904
Study programmeTitle: Computer Engineering
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra inženjer/inženjerka računarstva (magistar/magistra inženjer/inženjerka računarstva)
Type of resourceText
File originBorn digital
Access conditionsAccess restricted to authenticated users
Terms of useLicence In copyright icon
Created on2019-10-02 08:05:54