prikaz prve stranice dokumenta Obrada EEG signala primjenom digitalnih filtara
Access restricted to authenticated users
master's thesis
Obrada EEG signala primjenom digitalnih filtara
Split: University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture, 2021. urn:nbn:hr:179:371059
Gašparov, Ivana
University of Split
Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture
Department of Electronics and Computing

Institutional repository: Repository of the Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture

Cite this document

Gašparov, I. (2021). Obrada EEG signala primjenom digitalnih filtara (Master's thesis). Split: University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture. Retrieved from https://urn.nsk.hr/urn:nbn:hr:179:371059

Gašparov, Ivana. "Obrada EEG signala primjenom digitalnih filtara." Master's thesis, University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture, 2021. https://urn.nsk.hr/urn:nbn:hr:179:371059

Gašparov, Ivana. "Obrada EEG signala primjenom digitalnih filtara." Master's thesis, University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture, 2021. https://urn.nsk.hr/urn:nbn:hr:179:371059

Gašparov, I. (2021). 'Obrada EEG signala primjenom digitalnih filtara', Master's thesis, University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture, accessed 23 June 2024, https://urn.nsk.hr/urn:nbn:hr:179:371059

Gašparov I. Obrada EEG signala primjenom digitalnih filtara [Master's thesis]. Split: University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture; 2021 [cited 2024 June 23] Available at: https://urn.nsk.hr/urn:nbn:hr:179:371059

I. Gašparov, "Obrada EEG signala primjenom digitalnih filtara", Master's thesis, University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture, Split, 2021. Available at: https://urn.nsk.hr/urn:nbn:hr:179:371059

Metadata
TitleObrada EEG signala primjenom digitalnih filtara
AuthorIvana Gašparov
MentorDinko Begušić (mentor)
GranterUniversity of Split
Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture
(Department of Electronics and Computing)
Split
Defense date and country2021-09-27, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Elektroencefalografija (electroencefalography, EEG) je neinvazivna metoda mjerenja električne moždane aktivnosti. EEG mjeri promjene napona koje su posljedica koordinirane depolarizacije i repolarizacije skupine neurona unutar mozga. Tema diplomskog rada je obrada elektroencefalografskog (EEG) signala primjenom digitalnih filtara.. U uvodnom dijelu opisani su EEG signali i njihova primjena u medicini i znanosti. U praktičnom dijelu diplomskog rada provedena je obrada EEG signala primjenom digitalnih filtara: visokopropusnog i niskopropusnog filtra. Projektirani su i primijenjeni odgovarajući filtri s konačnim odzivom (FIR) i filtri s beskonačnim odzivom (IIR). Prikazane su značajke korištenih filtara u vremenskom i frekvencijskom području. Rezultati analize potvrđuju da niskopropusni filter smanjuje valovitost na većim frekvencijama sa malim utjecajem na amplitudu u vremenskom području, a visokopropusni filter smanjuje valovitost na niskim frekvnecijama i ima veći utjecaj na amplitudu u vremenskom području.
Abstract (english)
Electroencephalograpfy (EEG) is non-invasive method of measuring electrical brain activity. EEG measures voltage fluctuations resulting from ionic current within the neurons of the brain. Topic of this thesis is analyses of filter effects on EEG signals. In the introductory part EEG signals and their application is explained. In the practical part of this thesis EEG signals were processed with digital filters both high-pass and loww-pass filter. Filters with finite impulse response (FIR) and infinite impulse response (IIR) were designed and used. Results after analyses of the effects of filtering confirmed that low-pass filter reduces ripples at higher frequency with small alterications of amplitude in time domain while high-pass filter reduces ripples at lower frequencies with bigger alterications of amplitude in time domain.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:179:371059
Study programmeTitle: Electronics and Computer Engineering
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra inženjer/inženjerka elektronike i računalnog inženjerstva (magistar/magistra inženjer/inženjerka elektronike i računalnog inženjerstva)
Type of resourceText
File originBorn digital
Access conditionsAccess restricted to authenticated users
Terms of useLicence In copyright icon
Created on2022-07-06 10:19:12