prikaz prve stranice dokumenta Spektralna analiza EEG signala
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undergraduate thesis
Spektralna analiza EEG signala
2020. urn:nbn:hr:190:128512
Simčić, Ivan
University of Rijeka
Faculty of Engineering
Department of Automation and Electronics
Section of Measuring Systems

Cite this document

Simčić, I. (2020). Spektralna analiza EEG signala (Undergraduate thesis). Rijeka: University of Rijeka, Faculty of Engineering. Retrieved from https://urn.nsk.hr/urn:nbn:hr:190:128512

Simčić, Ivan. "Spektralna analiza EEG signala." Undergraduate thesis, University of Rijeka, Faculty of Engineering, 2020. https://urn.nsk.hr/urn:nbn:hr:190:128512

Simčić, Ivan. "Spektralna analiza EEG signala." Undergraduate thesis, University of Rijeka, Faculty of Engineering, 2020. https://urn.nsk.hr/urn:nbn:hr:190:128512

Simčić, I. (2020). 'Spektralna analiza EEG signala', Undergraduate thesis, University of Rijeka, Faculty of Engineering, accessed 20 December 2024, https://urn.nsk.hr/urn:nbn:hr:190:128512

Simčić I. Spektralna analiza EEG signala [Undergraduate thesis]. Rijeka: University of Rijeka, Faculty of Engineering; 2020 [cited 2024 December 20] Available at: https://urn.nsk.hr/urn:nbn:hr:190:128512

I. Simčić, "Spektralna analiza EEG signala", Undergraduate thesis, University of Rijeka, Faculty of Engineering, Rijeka, 2020. Available at: https://urn.nsk.hr/urn:nbn:hr:190:128512

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Metadata
TitleSpektralna analiza EEG signala
Title (english)Spectral analyses of EEG signal
AuthorIvan Simčić
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 country2020-09-16, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Electrical Engineering
Abstract
U radu su opisane i primjenjene metode spektralne analize EEG signala. Opisane su karakteristike i klasifikacije EEG signala te vrste elektroda uređaja za mjerenje. Podatci za analizu izmjereni su uređajem V-Amp Brain Vision u kombinaciji s aktivnim elektrodama actiCAP Xpress. Podatci su prikupljeni elektrodom Cz prije, za vrijeme i nakon stimulacije pri otvorenim i zatvorenim očima subjekta. Za analizu korišten je program Matlab s njegovim ugrađenim alatima i funkcijama. Na primjeru samostalno generiranog sinusnog signala, analizirane su i uspoređene mogućnosti određivanja spektralne analize pomoću FFT-a, STFT-a i valićne transformacije. Analizirani su i međusobno uspoređeni rezultati dobiveni spektralnom analizom izmjerenih EEG signala.
Abstract (english)
This paper describes and applies methods of spectral analysis on EEG signals. The characteristics and classifications of EEG signals, as well as the types of electrodes of measuring devices are described. The analysis data is measured with V-Amp Brain vision in combination with actiCAP Xpress active electrodes. Data were collected by Cz electrode before, during, and after stimulation with the subject’s eyes both open and closed. Matlab with it’s built-in tools and functions was used for data analysis. On the example of independently generated sinusoidal signal, the possibilities of determining spectral analysis using FFT, STFT and waveform transformation were analyzed and compared. The results obtained by spectral analysis of the measured EEG signals were analyzed and compared to each other.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:190:128512
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 on2021-10-05 07:34:14