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master's thesis
Detekcija srčanih šumova iz snimki fonokardiograma metodama dubokog učenja
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2024. urn:nbn:hr:168:508171
Matjanec, Marin
University of Zagreb
Faculty of Electrical Engineering and Computing

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Matjanec, M. (2024). Detekcija srčanih šumova iz snimki fonokardiograma metodama dubokog učenja (Master's thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:508171

Matjanec, Marin. "Detekcija srčanih šumova iz snimki fonokardiograma metodama dubokog učenja." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2024. https://urn.nsk.hr/urn:nbn:hr:168:508171

Matjanec, Marin. "Detekcija srčanih šumova iz snimki fonokardiograma metodama dubokog učenja." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2024. https://urn.nsk.hr/urn:nbn:hr:168:508171

Matjanec, M. (2024). 'Detekcija srčanih šumova iz snimki fonokardiograma metodama dubokog učenja', Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 20 May 2024, https://urn.nsk.hr/urn:nbn:hr:168:508171

Matjanec M. Detekcija srčanih šumova iz snimki fonokardiograma metodama dubokog učenja [Master's thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2024 [cited 2024 May 20] Available at: https://urn.nsk.hr/urn:nbn:hr:168:508171

M. Matjanec, "Detekcija srčanih šumova iz snimki fonokardiograma metodama dubokog učenja", Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2024. Available at: https://urn.nsk.hr/urn:nbn:hr:168:508171

Metadata
TitleDetekcija srčanih šumova iz snimki fonokardiograma metodama dubokog učenja
Title (english)Heart murmur detection from phonocardiogram recordings using deep learning methods
AuthorMarin Matjanec
MentorAlan Jović (mentor)
Committee memberAlan Jović (predsjednik povjerenstva)
Committee memberJan Šnajder (član povjerenstva)
Committee memberMarko Čupić (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2024-02-19, Croatia
Abstract
Urođene srčane bolesti stvaraju velik teret za zdravstveni sustav i odnose mnoge ljudske živote. Srčani šumovi često mogu ukazivati na neku takvu bolest. Fonokardiogram je zapis zvuka srca snimljen digitalnim stetoskopom. Računalnom analizom fonokardiograma i detekcijom srčanih šumova može se pomoći liječnicima kod dijagnoza srčanih bolesti. U ovom radu su ispitana i uspoređena 4 modela strojnog i 17 modela dubokog učenja na temelju uspješnosti detekcije srčanih šumova na skupu podataka CirCor DigiScope. Naučeni su modeli koji detektiraju srčane šumove s točnosti od 92 %, odzivom od 85 % i F1 mjerom od 78 %.
Abstract (english)
Congenital heart diseases create a great burden on the healthcare system and take many human lives. Heart murmurs can often indicate such a disease. A phonocardiogram is a recording of heart sounds taken with a digital stethoscope. Computer analysis of phonocardiograms and detection of heart murmurs can help doctors diagnose heart diseases. In this paper, 4 machine learning models and 17 deep learning models were tested and compared based on the success of heart murmur detection on the CirCor DigiScope dataset. Models were trained to detect heart murmurs with an accuracy of 92 %, recall of 85 % and F1 score of 78 %.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:508171
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
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Created on2024-03-28 07:50:50