prikaz prve stranice dokumenta Digitalna obrada EEG signala
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master's thesis
Digitalna obrada EEG signala
Rijeka: University of Rijeka, Faculty of Engineering, 2018. urn:nbn:hr:190:195020
Smoljan, Matko
University of Rijeka
Faculty of Engineering

Cite this document

Smoljan, M. (2018). Digitalna obrada EEG signala (Master's thesis). Rijeka: University of Rijeka, Faculty of Engineering. Retrieved from https://urn.nsk.hr/urn:nbn:hr:190:195020

Smoljan, Matko. "Digitalna obrada EEG signala." Master's thesis, University of Rijeka, Faculty of Engineering, 2018. https://urn.nsk.hr/urn:nbn:hr:190:195020

Smoljan, Matko. "Digitalna obrada EEG signala." Master's thesis, University of Rijeka, Faculty of Engineering, 2018. https://urn.nsk.hr/urn:nbn:hr:190:195020

Smoljan, M. (2018). 'Digitalna obrada EEG signala', Master's thesis, University of Rijeka, Faculty of Engineering, accessed 23 April 2024, https://urn.nsk.hr/urn:nbn:hr:190:195020

Smoljan M. Digitalna obrada EEG signala [Master's thesis]. Rijeka: University of Rijeka, Faculty of Engineering; 2018 [cited 2024 April 23] Available at: https://urn.nsk.hr/urn:nbn:hr:190:195020

M. Smoljan, "Digitalna obrada EEG signala", Master's thesis, University of Rijeka, Faculty of Engineering, Rijeka, 2018. Available at: https://urn.nsk.hr/urn:nbn:hr:190:195020

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Metadata
TitleDigitalna obrada EEG signala
AuthorMatko Smoljan
MentorMiroslav Vrankić (mentor)
Committee memberKristijan Lenac (predsjednik povjerenstva)
GranterUniversity of Rijeka
Faculty of Engineering
Rijeka
Defense date and country2018-05, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Diplomski rad opisuje potrebne korake obrade EEG signala, konkretnije P300 komponente signala koja spada u kategoriju evociranih potencijala obzirom da se pojavljuje prilikom vidnih, slušnih ili taktilnih podražaja koji imaju važnost u rješavanju zadatka u pitanju. U radu su opisane tehnike mjerenja, identificiranja, izoliranja i analize P300 komponente s ciljem dobivanja boljeg uvida u značajke ove komponente. Konačno, rad nudi prijedlog metode automatske detekcije P300 komponente na temelju srednjih vrijednosti značajki signala čija je točnost procijenjena na 70%.
Abstract (english)
The thesis describes necessary steps of processing EEG signals, more specifically the P300 component of those signals which falls into the category of evoked potentials as it occurs during visual, auditory or tactile stimuli that are important in solving the task in question. Techniques of acquiring, identifying, isolating and analyzing the P300 in order to gain a better insight into the features of the component are also described in the thesis. Finally, the thesis proposes a method of automatic detection of P300 component based on the mean value of signal characteristics with estimated accuracy of 70%.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:190:195020
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
RepositoryRepository of the University of Rijeka, Faculty of Engineering
Created on2018-06-05 09:12:10

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