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undergraduate thesis
Analiza različitih vrsta elektroda za snimanje EEG signala
2019. urn:nbn:hr:190:903746
Baban, Marko
University of Rijeka
Faculty of Engineering
Department of Automation and Electronics
Section of Measuring Systems

Cite this document

Baban, M. (2019). Analiza različitih vrsta elektroda za snimanje EEG signala (Undergraduate thesis). Rijeka: University of Rijeka, Faculty of Engineering. Retrieved from https://urn.nsk.hr/urn:nbn:hr:190:903746

Baban, Marko. "Analiza različitih vrsta elektroda za snimanje EEG signala." Undergraduate thesis, University of Rijeka, Faculty of Engineering, 2019. https://urn.nsk.hr/urn:nbn:hr:190:903746

Baban, Marko. "Analiza različitih vrsta elektroda za snimanje EEG signala." Undergraduate thesis, University of Rijeka, Faculty of Engineering, 2019. https://urn.nsk.hr/urn:nbn:hr:190:903746

Baban, M. (2019). 'Analiza različitih vrsta elektroda za snimanje EEG signala', Undergraduate thesis, University of Rijeka, Faculty of Engineering, accessed 06 March 2025, https://urn.nsk.hr/urn:nbn:hr:190:903746

Baban M. Analiza različitih vrsta elektroda za snimanje EEG signala [Undergraduate thesis]. Rijeka: University of Rijeka, Faculty of Engineering; 2019 [cited 2025 March 06] Available at: https://urn.nsk.hr/urn:nbn:hr:190:903746

M. Baban, "Analiza različitih vrsta elektroda za snimanje EEG signala", Undergraduate thesis, University of Rijeka, Faculty of Engineering, Rijeka, 2019. Available at: https://urn.nsk.hr/urn:nbn:hr:190:903746

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Metadata
TitleAnaliza različitih vrsta elektroda za snimanje EEG signala
Title (english)Analyses of different types of EEG electrodes
AuthorMarko Baban
MentorSaša Vlahinić (mentor)
Committee memberViktor Sučić (predsjednik povjerenstva)
Committee memberSaša Vlahinić (član povjerenstva)
GranterUniversity of Rijeka
Faculty of Engineering
(Department of Automation and Electronics)
(Section of Measuring Systems)
Rijeka
Defense date and country2019-09-17, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Electrical Engineering
Abstract
Završni rad opisuje sve potrebne komponente za snimanje EEG signala. Srž ovog rada obuhvaća opis i analizu pojedinačnog sustava elektroda koji su popraćeni raznim slikama, kao bitan segment svih metoda snimanja moždanih signala. Priloženo je i poglavlje s usporedbom razine signala i frekvencijskog spektra signala dobivenih s vlažnom i aktivnom elektrodom. U daljnjoj analizi obrađeni su signali s tri sonde, dvije aktivne elektrode i jedna vlažna. Nakon filtriranja signala i izvršene brze fourierove transformacije, analizirane su relativne snage u frekvencijskom području. Konačno, vremenski profili snaga prikazani su za svako interesno područje (theta, alfa i beta). Prethodno opisana analiza, provedena je pomoću programa Matlab.
Abstract (english)
This work describes all the necessary components for recording an EEG signal. The core of this work is the description and analysis of an individual electrode system, accompanied by various images, as an essential segment of all methods of recording brain signals. Also included is a chapter comparing the signal level and frequency spectrum of the signals obtained with the wet and active electrode. In the further analysis, signals were processed with three probes, two active electrodes and one wet. After filtering the signal and executing a fast Fourier transform, the relative strengths in the frequency range were analyzed. Finally, temporal power profiles are shown for each area of interest (theta, alpha, and beta). The analysis was performed using Matlab
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:190:903746
Study programmeTitle: Undergraduate University Study of Electrical Engineering
Study programme type: university
Study level: undergraduate
Academic / professional title: sveučilišni/a prvostupnik/prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka elektrotehnike (sveučilišni/a prvostupnik/prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka elektrotehnike)
Type of resourceText
File originBorn digital
Access conditionsAccess restricted to students and staff of home institution
Terms of useLicence In copyright icon
Created on2020-08-31 12:12:38