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undergraduate thesis
Računalna detekcija fibrilacije atrija zasnovana na srčanom ritmu
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2019. urn:nbn:hr:168:982809
Grotić, Marta
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

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Grotić, M. (2019). Računalna detekcija fibrilacije atrija zasnovana na srčanom ritmu (Undergraduate thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:982809

Grotić, Marta. "Računalna detekcija fibrilacije atrija zasnovana na srčanom ritmu." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2019. https://urn.nsk.hr/urn:nbn:hr:168:982809

Grotić, Marta. "Računalna detekcija fibrilacije atrija zasnovana na srčanom ritmu." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2019. https://urn.nsk.hr/urn:nbn:hr:168:982809

Grotić, M. (2019). 'Računalna detekcija fibrilacije atrija zasnovana na srčanom ritmu', Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 26 August 2024, https://urn.nsk.hr/urn:nbn:hr:168:982809

Grotić M. Računalna detekcija fibrilacije atrija zasnovana na srčanom ritmu [Undergraduate thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2019 [cited 2024 August 26] Available at: https://urn.nsk.hr/urn:nbn:hr:168:982809

M. Grotić, "Računalna detekcija fibrilacije atrija zasnovana na srčanom ritmu", Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2019. Available at: https://urn.nsk.hr/urn:nbn:hr:168:982809

Metadata
TitleRačunalna detekcija fibrilacije atrija zasnovana na srčanom ritmu
Title (english)Computerized Detection of Rhythm-Based Atrial Fibrillation
AuthorMarta Grotić
MentorMario Cifrek (mentor)
Committee memberMario Cifrek (predsjednik povjerenstva)
Committee memberKrešimir Friganović (član povjerenstva)
Committee memberMatea Žilak (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2019-07-12, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Electrical Engineering
Abstract
Fibrilacija atrija ozbiljna je i česta srčana aritmija koja je povezana s brzim i nepravilnim srčanim ritmom. Moguće ju je dijagnosticirati na temelju elektrokardiograma. Na EKG-u se manifestira nepravilnim ritmom srca, odsutnosti P-vala i prisutnosti F-valova. Jedan od načina detektiranja prisutnosti fibrilacije atrija je analiziranje nepravilnosti srčanog ritma koje se očituje u skraćivanju RR intervala. Kako bi se analizirali RR intervali potrebno ih je prvo izračunati. Prvi korak je pronalazak R zubaca u signalu EKG-a. Za to se koristi Elgendi algoritam. Nakon pronalaska R zubaca sljedeći korak je izračun RR intervala koji se potom koriste za računanje parametara koji opisuju ritam srca. Analizom tih parametara moguće je utvrditi da li je u promatranom signalu EKG-a prisutna fibrilacija atrija ili nije.
Abstract (english)
Atrial fibrillation is a serious and frequent cardiac arrhythmia that is associated with fast and irregular heart rhythms. It is possible to diagnose it based on electrocardiogram (ECG). The ECG is manifested by an irregular heart rate, the absence of P-wave and the presence of F-waves. One way of detecting the presence of atrial fibrillation is an analysis of rhythm irregularity that is manifested in shortening the RR interval. In order to analyze the RR intervals, it is necessary to calculate them first. The first step is to find R peaks in the ECG signal. To find them, the Elgendi algorithm is used. After finding the R peaks, the next step is to calculate the RR intervals that are used to calculate the parameters that describe the heart rate. By analyzing those parameters, it is possible to determine if atrial fibrillation is present in the observed ECG signal or not.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:982809
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 on2020-01-07 18:18:49