prikaz prve stranice dokumenta Primjena valićne transformacije u analizi EEG signala snimljenog tijekom zamišljanja pokreta
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undergraduate thesis
Primjena valićne transformacije u analizi EEG signala snimljenog tijekom zamišljanja pokreta
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2017. urn:nbn:hr:168:615717
Kinder, Ivana
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

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Kinder, I. (2017). Primjena valićne transformacije u analizi EEG signala snimljenog tijekom zamišljanja pokreta (Undergraduate thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:615717

Kinder, Ivana. "Primjena valićne transformacije u analizi EEG signala snimljenog tijekom zamišljanja pokreta." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2017. https://urn.nsk.hr/urn:nbn:hr:168:615717

Kinder, Ivana. "Primjena valićne transformacije u analizi EEG signala snimljenog tijekom zamišljanja pokreta." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2017. https://urn.nsk.hr/urn:nbn:hr:168:615717

Kinder, I. (2017). 'Primjena valićne transformacije u analizi EEG signala snimljenog tijekom zamišljanja pokreta', Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 26 November 2024, https://urn.nsk.hr/urn:nbn:hr:168:615717

Kinder I. Primjena valićne transformacije u analizi EEG signala snimljenog tijekom zamišljanja pokreta [Undergraduate thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2017 [cited 2024 November 26] Available at: https://urn.nsk.hr/urn:nbn:hr:168:615717

I. Kinder, "Primjena valićne transformacije u analizi EEG signala snimljenog tijekom zamišljanja pokreta", Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2017. Available at: https://urn.nsk.hr/urn:nbn:hr:168:615717

Metadata
TitlePrimjena valićne transformacije u analizi EEG signala snimljenog tijekom zamišljanja pokreta
Title (english)Application of Wavelet Transform in Analysis of EEG Signal Recorded During Motor Imagery Tasks
AuthorIvana Kinder
MentorMario Cifrek (mentor)
Committee memberMario Cifrek (predsjednik povjerenstva)
Committee memberŽeljka Lučev Vasić (član povjerenstva)
Committee memberKrešimir Friganović (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2017-09-05, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Snimanjem i analizom EEG signala moguće je detektirati namjeru voljnog pokreta tijela. Prije pojave mišićne aktivnosti dolazi do pojave evociranih potencijala karakterističnih frekvencijskih svojstava. Pokazano je da do pojave istih takvih evociranih potencijala dolazi i ako iz nekog razloga se izvršavanje pokreta ne dogodi. U ovom radu, objašnjeni su evocirani potencijali zamišljanja pokreta, valićna transformacija kao metoda analize signala te je razvijen algoritam klasifikacije EEG signala snimljenih tijekom zamišljanja pokreta lijeve i desne ruke. Za obradu EEG signala korištena je diskretna valićna transformacija (engl. Discrete Wavelet Transformation, DWT), a klasifikacija je provedena linearnom diskriminantnom analizom (engl. Linear discriminant analysis, LDA).
Abstract (english)
By recording and analyzing EEG signals it is possible to detect the intention of voluntary movements. Before the occurrence of muscle activity, evoked potentials appear as a part of the brain electrical activity. It has been shown that those evoked potentials appear even when the intended movement is not executed for some reason. This paper explains evoked potentials that appear as a result of motor imagery and the wavelet transform as a method of signal analysis. It also describes an algorithm for classification of signals recorded during right and left hand motor imagery. The discrete wavelet transform (DWT) was used to analyze the EEG signals and the signal classification was done using linear discriminant analysis (LDA).
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:615717
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
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Created on2019-03-13 21:31:26