prikaz prve stranice dokumenta 3D VIZUALIZACIJA EEG SIGNALA
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undergraduate thesis
3D VIZUALIZACIJA EEG SIGNALA
2016. urn:nbn:hr:190:080064
Ružić, Luka
University of Rijeka
Faculty of Engineering

Cite this document

Ružić, L. (2016). 3D VIZUALIZACIJA EEG SIGNALA (Undergraduate thesis). Rijeka: University of Rijeka, Faculty of Engineering. Retrieved from https://urn.nsk.hr/urn:nbn:hr:190:080064

Ružić, Luka. "3D VIZUALIZACIJA EEG SIGNALA." Undergraduate thesis, University of Rijeka, Faculty of Engineering, 2016. https://urn.nsk.hr/urn:nbn:hr:190:080064

Ružić, Luka. "3D VIZUALIZACIJA EEG SIGNALA." Undergraduate thesis, University of Rijeka, Faculty of Engineering, 2016. https://urn.nsk.hr/urn:nbn:hr:190:080064

Ružić, L. (2016). '3D VIZUALIZACIJA EEG SIGNALA', Undergraduate thesis, University of Rijeka, Faculty of Engineering, accessed 22 December 2024, https://urn.nsk.hr/urn:nbn:hr:190:080064

Ružić L. 3D VIZUALIZACIJA EEG SIGNALA [Undergraduate thesis]. Rijeka: University of Rijeka, Faculty of Engineering; 2016 [cited 2024 December 22] Available at: https://urn.nsk.hr/urn:nbn:hr:190:080064

L. Ružić, "3D VIZUALIZACIJA EEG SIGNALA", Undergraduate thesis, University of Rijeka, Faculty of Engineering, Rijeka, 2016. Available at: https://urn.nsk.hr/urn:nbn:hr:190:080064

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Metadata
Title3D VIZUALIZACIJA EEG SIGNALA
AuthorLuka Ružić
MentorSaša Vlahinić (mentor)
Committee memberMiroslav Joler (predsjednik povjerenstva)
GranterUniversity of Rijeka
Faculty of Engineering
Rijeka
Defense date and country2016-09, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Završni rad prikazuje korištenje OpenVibe BCI softvera ukomponiranog s Emotiv EPOCuređajem za mjerenje EEG signala. Izvršena je podjela signala s obzirom na frekvenciju. Opisane su karakteristike Emotiv EPOC-a. Prikazani su i objašnjeni scenariji za akviziciju signala, topografski prikaz signala i neurofeedback te opisani postupci kako izmijeniti iste. Analizirani su 3D topografski modeli pri različitim imaginarnih motoričkim aktivnostima. Prikazan je način vizualizacije snimljenog EEG signala po elektrodama.
Abstract (english)
In this final work is shown OpenVibe BCI software paired with Emotiv EPOC device for measuring EEG signals. The distribution of signal is performed with respect to the signal frequency. The characteristics of Emotiv EPOC are described. Scenarios for signal acquisition, signal wavelength and neurofeedback are described and are shown the procedures to change the scenarios. The 3D topographic map is analyzed in various imaginary motor activities. The method for visualizing recorded EEG signals by electrodes is also described.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:190:080064
Study programmeTitle: Computer Engineering
Study programme type: university
Study level: undergraduate
Academic / professional title: sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka računarstva (sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka računarstva)
Type of resourceText
File originBorn digital
Access conditionsAccess restricted to students and staff of home institution
Terms of useLicence In copyright icon
Created on2016-10-03 12:09:50