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master's thesis
Prepoznavanje aritmije u EKG zapisima korištenjem povratne neuronske mreže
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2021. urn:nbn:hr:168:166728
Belić, Bruno
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

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Belić, B. (2021). Prepoznavanje aritmije u EKG zapisima korištenjem povratne neuronske mreže (Master's thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:166728

Belić, Bruno. "Prepoznavanje aritmije u EKG zapisima korištenjem povratne neuronske mreže." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2021. https://urn.nsk.hr/urn:nbn:hr:168:166728

Belić, Bruno. "Prepoznavanje aritmije u EKG zapisima korištenjem povratne neuronske mreže." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2021. https://urn.nsk.hr/urn:nbn:hr:168:166728

Belić, B. (2021). 'Prepoznavanje aritmije u EKG zapisima korištenjem povratne neuronske mreže', Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 23 November 2024, https://urn.nsk.hr/urn:nbn:hr:168:166728

Belić B. Prepoznavanje aritmije u EKG zapisima korištenjem povratne neuronske mreže [Master's thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2021 [cited 2024 November 23] Available at: https://urn.nsk.hr/urn:nbn:hr:168:166728

B. Belić, "Prepoznavanje aritmije u EKG zapisima korištenjem povratne neuronske mreže", Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2021. Available at: https://urn.nsk.hr/urn:nbn:hr:168:166728

Metadata
TitlePrepoznavanje aritmije u EKG zapisima korištenjem povratne neuronske mreže
Title (english)Detecting arrhythmia in ECG recordings using recurrent neural network
AuthorBruno Belić
MentorMirjana Domazet-Lošo (mentor)
Committee memberMirjana Domazet-Lošo (predsjednik povjerenstva)
Committee memberMarko Horvat (član povjerenstva)
Committee memberTomislav Jagušt (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2021-09-08, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Rad analizira primjenjivost i probleme u području automatizacije prepoznavanja aritmije, te u tu svrhu definira dva pristupa, detektiranje i dijagnosticiranje aritmije. Obrad̄ena su dva skupa podataka, te su različiti modeli povratnih neuronskih mreža primijenjeni na obje formulacije problema, uz korištenje metodologije koja odgovara standardima u području strojnog učenja. Postignuti su dobri rezultati koji su navedeni i uspored̄eni s drugim radovima u području.
Abstract (english)
This thesis analyses applications and problems in the field of automated arrhythmia detection. Approaches defined are arrhythmia detection and arrhythmia diagnosing. Two datasets are presented and various recurrent neural network models are applied to both formulations of the problem, using the methodology which follows the standards in the field of machine learning. Results obtained by the implemented solutions are listed and compared to the other available solutions in the field.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:166728
Study programmeTitle: Computing
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra inženjer/inženjerka računarstva (magistar/magistra inženjer/inženjerka računarstva)
Type of resourceText
File originBorn digital
Access conditionsClosed access
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Created on2023-01-13 11:46:55