Računalna detekcija fibrilacije atrija zasnovana na srčanom ritmu

undergraduate thesis

• Title (english): Computerized Detection of Rhythm-Based Atrial Fibrillation
• Author: Marta Grotić
• Mentor: Mario Cifrek (mentor)
• Committee member: Mario Cifrek (predsjednik povjerenstva)
• Committee member: Krešimir Friganović (član povjerenstva)
• Committee member: Matea Žilak (član povjerenstva)
• Granter: University of Zagreb; Faculty of Electrical Engineering and Computing; Zagreb
• Defense date and country: 2019-07-12, 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: srce; srčani ritam; fibrilacija atrija; AF; elektrokardiografija; RR interval; nepravilnost RR intervala; detekcija R zubaca; detekcija fibrilacija atrija zasnovana na ritmu
• Keywords (english): heart; cardiac rhythm; atrial fibrillation; AF; electrocardiography; RR interval; irregularity of RR interval; R peak detection; atrial fibrillation detection base
• Language: croatian
• URN:NBN: urn:nbn:hr:168:982809
• Study programme: Title: 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 resource: Text
• File origin: Born digital
• Access conditions: Closed access
• Created on: 2020-01-07 18:18:49