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master's thesis
Analiza i vizualizacija neuromagnetskih signala
Zagreb: University of Zagreb, Faculty of Science, 2019. urn:nbn:hr:217:262410
Galić, Jela
University of Zagreb
Faculty of Science
Department of Mathematics

Institutional repository: Repository of the Faculty of Science

Cite this document

Galić, J. (2019). Analiza i vizualizacija neuromagnetskih signala (Master's thesis). Zagreb: University of Zagreb, Faculty of Science. Retrieved from https://urn.nsk.hr/urn:nbn:hr:217:262410

Galić, Jela. "Analiza i vizualizacija neuromagnetskih signala." Master's thesis, University of Zagreb, Faculty of Science, 2019. https://urn.nsk.hr/urn:nbn:hr:217:262410

Galić, Jela. "Analiza i vizualizacija neuromagnetskih signala." Master's thesis, University of Zagreb, Faculty of Science, 2019. https://urn.nsk.hr/urn:nbn:hr:217:262410

Galić, J. (2019). 'Analiza i vizualizacija neuromagnetskih signala', Master's thesis, University of Zagreb, Faculty of Science, accessed 18 November 2024, https://urn.nsk.hr/urn:nbn:hr:217:262410

Galić J. Analiza i vizualizacija neuromagnetskih signala [Master's thesis]. Zagreb: University of Zagreb, Faculty of Science; 2019 [cited 2024 November 18] Available at: https://urn.nsk.hr/urn:nbn:hr:217:262410

J. Galić, "Analiza i vizualizacija neuromagnetskih signala", Master's thesis, University of Zagreb, Faculty of Science, Zagreb, 2019. Available at: https://urn.nsk.hr/urn:nbn:hr:217:262410

Metadata
TitleAnaliza i vizualizacija neuromagnetskih signala
AuthorJela Galić
MentorLavoslav Čaklović (mentor)
Committee memberLavoslav Čaklović (predsjednik povjerenstva)
Committee memberSanja Josef Golubić (član povjerenstva)
Committee memberGoranka Nogo (član povjerenstva)
Committee memberIgor Pažanin (član povjerenstva)
Committee memberIvan Kupčić (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Science
(Department of Mathematics)
Zagreb
Defense date and country2019-08-28, Croatia
Scientific / art field,
discipline and subdiscipline		NATURAL SCIENCES
Mathematics
Abstract
Magnetoencefalografija (MEG) je metoda funkcionalnog oslikavanja mozga kojom se mjere vrlo slaba magnetska polja. Takva magnetska polja zahtijevaju upotrebu više stotina superosjetljivih senzora. Obzirom na opsežnost podataka dobivenih MEG mjerenjem, njihova kvalitetna vizualizacija osnovni je preduvjet za daljnje analize. Cilj ovog diplomskog rada je izrada grafičkog korisničkog sučelja za vizualizaciju rezultata magnetoencefalografskih mjerenja. U izradi sučelja koristili smo programsko okruženje R koji je alat otvorenog koda te njegov paket Shiny. Sučelje omogućava učitavanje specifičnih .nc datoteka, prikaz MEG signala snimljenih na senzorskim jedinicama te prikaz usrednjenih MEG signala primjenom funkcije RMS (efektivni signal). Također, pruža mogućnost izbora vrste senzora, prostorne lokacije senzora, broja senzora i vremenskog intervala te direktan prikaz magnitude signala u svakoj točki vektorskog prikaza valne forme. Ovako razvijeno sučelje daje doprinos akademskoj zajednici za analizu rezultata znanstvenih i medicinskih istraživanja MEG-om. Velika prednost korištenja ovog sučelja je mogućnost direktnog očitanja magnitude i latencije signala.
Abstract (english)
Magnetoencephalography is a non-invasive functional brain imaging method for measuring extremely weak magnetic fields. Such neuromagnetic fields require the use of hundreds highly sensitive sensors. According to large amounts of recorded MEG data, good data visualization is the main precondition for further analysis. The aim of this thesis is to create a graphical user interface for visualization of the magnetoencephalographic measurement results. To create the interface, we used the free software environment R and its package Shiny. Created interface allows the user to load specific .nc files, display MEG signals recorded on sensor units and display averaged MEG signals using RMS (effective signal) function. It also provides the selection of different sensor types, sensor spatial locations, number of sensors and time interval. Signal magnitude preview in the waveform vectors at each point is possible as well. Developed interface contributes to the academic community for analyzing the results of scientific and medical research by MEG. The great advantage of using this interface is the ability to read magnitude and latency of the signal directly.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:217:262410
Study programmeTitle: Mathematics and Physics Education; specializations in: Mathematics and Physics Education
Course: Mathematics and Physics Education
Study programme type: university
Study level: integrated undergraduate and graduate
Academic / professional title: magistar/magistra edukacije matematike i fizike (magistar/magistra edukacije matematike i fizike)
Type of resourceText
File originBorn digital
Access conditionsOpen access
Terms of useLicence In copyright icon
Created on2019-09-30 14:37:15