prikaz prve stranice dokumenta Računalna analiza EEG signala za medicinsku dijagnostiku
No public access
undergraduate thesis
Računalna analiza EEG signala za medicinsku dijagnostiku
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2015. urn:nbn:hr:168:622291
Škriljak, Mateja
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

Cite this document

Škriljak, M. (2015). Računalna analiza EEG signala za medicinsku dijagnostiku (Undergraduate thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:622291

Škriljak, Mateja. "Računalna analiza EEG signala za medicinsku dijagnostiku." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2015. https://urn.nsk.hr/urn:nbn:hr:168:622291

Škriljak, Mateja. "Računalna analiza EEG signala za medicinsku dijagnostiku." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2015. https://urn.nsk.hr/urn:nbn:hr:168:622291

Škriljak, M. (2015). 'Računalna analiza EEG signala za medicinsku dijagnostiku', Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 04 November 2024, https://urn.nsk.hr/urn:nbn:hr:168:622291

Škriljak M. Računalna analiza EEG signala za medicinsku dijagnostiku [Undergraduate thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2015 [cited 2024 November 04] Available at: https://urn.nsk.hr/urn:nbn:hr:168:622291

M. Škriljak, "Računalna analiza EEG signala za medicinsku dijagnostiku", Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2015. Available at: https://urn.nsk.hr/urn:nbn:hr:168:622291

Metadata
TitleRačunalna analiza EEG signala za medicinsku dijagnostiku
Title (english)Computer-based analysis of EEG signals for medical diagnostics
AuthorMateja Škriljak
MentorSven Lončarić (mentor)
Committee memberSven Lončarić (predsjednik povjerenstva)
Committee memberMarko Subašić (član povjerenstva)
Committee memberVedrana Baličević (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2015-07-13, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Snimanje elektroencefalografskih (EEG) signala ima važnu ulogu za dijagnostiku u medicini. Proučeni su načini snimanja te metode za analizu EEG signala. U radu je razvijena metoda za izlučivanje značajki EEG signala koja omogućuje razlikovanje signala dobivenih mjerenjem dvaju skupina pacijenata. Ispitana je upotrebljivost značajki u spektralnoj domeni te drugih značajki korisnih za razlikovanje skupina pacijenata. Značajke su primijenjene na dva modela klasifikacije.
Abstract (english)
Electroencephalography (EEG) plays an important role in medical diagnosis. Recording mechanisms and analysis procedures are studied. A method for EEG signal feature extraction is developed and applied to a classification problem. Signal features are extracted in both time and frequency domain. Features are evaluated and applied to two classification models.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:622291
Study programmeTitle: Computing
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 conditionsClosed access
Terms of useLicence In copyright icon
Public note
Created on2018-02-06 12:20:09