prikaz prve stranice dokumenta Digitalna obrada EEG signala
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master's thesis
Digitalna obrada EEG signala
2017. urn:nbn:hr:190:904413
Načinović, Natali
University of Rijeka
Faculty of Engineering

Cite this document

Načinović, N. (2017). Digitalna obrada EEG signala (Master's thesis). Rijeka: University of Rijeka, Faculty of Engineering. Retrieved from https://urn.nsk.hr/urn:nbn:hr:190:904413

Načinović, Natali. "Digitalna obrada EEG signala." Master's thesis, University of Rijeka, Faculty of Engineering, 2017. https://urn.nsk.hr/urn:nbn:hr:190:904413

Načinović, Natali. "Digitalna obrada EEG signala." Master's thesis, University of Rijeka, Faculty of Engineering, 2017. https://urn.nsk.hr/urn:nbn:hr:190:904413

Načinović, N. (2017). 'Digitalna obrada EEG signala', Master's thesis, University of Rijeka, Faculty of Engineering, accessed 10 April 2024, https://urn.nsk.hr/urn:nbn:hr:190:904413

Načinović N. Digitalna obrada EEG signala [Master's thesis]. Rijeka: University of Rijeka, Faculty of Engineering; 2017 [cited 2024 April 10] Available at: https://urn.nsk.hr/urn:nbn:hr:190:904413

N. Načinović, "Digitalna obrada EEG signala", Master's thesis, University of Rijeka, Faculty of Engineering, Rijeka, 2017. Available at: https://urn.nsk.hr/urn:nbn:hr:190:904413

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Metadata
TitleDigitalna obrada EEG signala
AuthorNatali Načinović
MentorMiroslav Vrankić (mentor)
Committee memberKristijan Lenac (predsjednik povjerenstva)
GranterUniversity of Rijeka
Faculty of Engineering
Rijeka
Defense date and country2017-05, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Asistivna tehnologija pomaže osobama s invaliditetom u svakodnevnom životu, u obavljanju raznih radnji. Jedna od poznatijih primjena asistivne tehnologije predstavlja BCI. Snimanje moždane aktivnosti koristeći za to predvidene uređaje omogućuje do sada neviđena otkrića na tom području. Signali koje dobivamo snimanjem su vrlo kompleksni te ih je potrebno dodatno procesuirati kako bi ih što korisnije iskoristili. Zbog toga se ti signali ltriraju, u ovom slučaju koristeći Butterworth lter. Početno se koristio open source program OpenViBE, ali budući da se u raznim istraživanjima koristi Matlab, cilj je bio dobiti identične rezultate u oba programa. U radu je prikazano više pristupa, od kojih je samo jedan rezultirao očekivanim ishodom.
Abstract (english)
Assistive technology helps people with disabilities in their everyday life, in doing different tasks. One of the most known applications of assistive technology id BCI. Recording of brain activity using suitable devices allows new discoveries on that field. Signals we acquire by recording are very complex and they need to be further processed in order to be used more effieciently. That is why these signals are being filtered, in our case using Butterworth filter. First the open source program OpenViBE was used but since Matlab is used in various researches the goal was to get the same results in both programs. In the paper there are a few approaches explained from which only one resulted in expected outcome.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:190:904413
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 students and staff of home institution
Terms of useLicence In copyright icon
Created on2017-06-06 07:55:00