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undergraduate thesis
Analiza EEG signala kod zamišljanja motorističke aktivnosti
Rijeka: University of Rijeka, Faculty of Engineering, 2019. urn:nbn:hr:190:018058
Meić, Mislav
University of Rijeka
Faculty of Engineering
Department of Automation and Electronics
Section of Measuring Systems

Institutional repository: Repository of the University of Rijeka, Faculty of Engineering

Cite this document

Meić, M. (2019). Analiza EEG signala kod zamišljanja motorističke aktivnosti (Undergraduate thesis). Rijeka: University of Rijeka, Faculty of Engineering. Retrieved from https://urn.nsk.hr/urn:nbn:hr:190:018058

Meić, Mislav. "Analiza EEG signala kod zamišljanja motorističke aktivnosti." Undergraduate thesis, University of Rijeka, Faculty of Engineering, 2019. https://urn.nsk.hr/urn:nbn:hr:190:018058

Meić, Mislav. "Analiza EEG signala kod zamišljanja motorističke aktivnosti." Undergraduate thesis, University of Rijeka, Faculty of Engineering, 2019. https://urn.nsk.hr/urn:nbn:hr:190:018058

Meić, M. (2019). 'Analiza EEG signala kod zamišljanja motorističke aktivnosti', Undergraduate thesis, University of Rijeka, Faculty of Engineering, accessed 04 May 2024, https://urn.nsk.hr/urn:nbn:hr:190:018058

Meić M. Analiza EEG signala kod zamišljanja motorističke aktivnosti [Undergraduate thesis]. Rijeka: University of Rijeka, Faculty of Engineering; 2019 [cited 2024 May 04] Available at: https://urn.nsk.hr/urn:nbn:hr:190:018058

M. Meić, "Analiza EEG signala kod zamišljanja motorističke aktivnosti", Undergraduate thesis, University of Rijeka, Faculty of Engineering, Rijeka, 2019. Available at: https://urn.nsk.hr/urn:nbn:hr:190:018058

Metadata
TitleAnaliza EEG signala kod zamišljanja motorističke aktivnosti
Title (english)Analyses of EEG signals during motor imagery
AuthorMislav Meić
MentorSaša Vlahinić (mentor)
Committee memberViktor Sučić (predsjednik povjerenstva)
GranterUniversity of Rijeka
Faculty of Engineering
(Department of Automation and Electronics)
(Section of Measuring Systems)
Rijeka
Defense date and country2019-05-21, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Electrical Engineering
Abstract
Ovaj rad se bavi sučeljem mozak- računalo i analizom signala prilikom zamišljanja pokreta ruke i noge. Za snimanje EEG signala je korišten V-Amp uređaj sa 16 elektroda, od kojih je elektroda Cz služila kao referentna točka. Signal je prikupljen i obrađen sa OpenVibe programom i njegovi scenarijima. Za analizu podataka je korišten program Matlab i njegov set alata EEGLAB. U radu je uočeno da se prilikom zamišljanja pokreta ruku javlja ERD a prilikom nogu ERS, te da se pojačanje signala očituje oko 1 do 2 sekunde nakon stimulansa. Najveće aktivnosti prilikom zamišljanja motoričke radnje su primjećene na elektrodama koje se nalaze na primarnom motoričkom korteksu.
Abstract (english)
This paper deals with the Brain-Computer Interface (BCI) and EEG signal analysis of motor imagery of arms and legs. To capture the EEG signal, a V-Amp device with 16 electrodes was used, of which the electrode Cz served as a reference point. The signal was collected and processed with the OpenVibe program and its scenarios. The Matlab program and its EEGLAB tool set were used for signal analysis. In the paper, it was observed that ERD occurs during the motor imagery of arms, and ERS during the legs, and that the amplification of the EEG signal is observed approximately 1 to 2 seconds after the motor imagery stimulus. The major activities during the motor imagery were observed on electrodes located on top of the primary motor cortex.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:190:018058
Study programmeTitle: 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 on2019-07-16 12:18:36