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undergraduate thesis
Detekcija srčanih aritmija primjenom valićne transformacije
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2017. urn:nbn:hr:168:422028
Tarade, Nika
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

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Tarade, N. (2017). Detekcija srčanih aritmija primjenom valićne transformacije (Undergraduate thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:422028

Tarade, Nika. "Detekcija srčanih aritmija primjenom valićne transformacije." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2017. https://urn.nsk.hr/urn:nbn:hr:168:422028

Tarade, Nika. "Detekcija srčanih aritmija primjenom valićne transformacije." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2017. https://urn.nsk.hr/urn:nbn:hr:168:422028

Tarade, N. (2017). 'Detekcija srčanih aritmija primjenom valićne transformacije', Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 25 July 2024, https://urn.nsk.hr/urn:nbn:hr:168:422028

Tarade N. Detekcija srčanih aritmija primjenom valićne transformacije [Undergraduate thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2017 [cited 2024 July 25] Available at: https://urn.nsk.hr/urn:nbn:hr:168:422028

N. Tarade, "Detekcija srčanih aritmija primjenom valićne transformacije", Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2017. Available at: https://urn.nsk.hr/urn:nbn:hr:168:422028

Metadata
TitleDetekcija srčanih aritmija primjenom valićne transformacije
Title (english)Heart Arrhythmia Detection Based on Wavelet Transform
AuthorNika Tarade
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 country2017-09-06, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Electrical Engineering
Abstract
Elektrokardiogram (EKG) je zapis električne aktivnosti srca koji se generira tijekom polarizacije i depolarizacije atrija i ventrikula. To je široko korišten alat za dijagnostiku srca. Karakteristični dijelovi EKG signala su: P val, QRS kompleks i T val. Srčana aritmija ukazuje na abnormalnu električnu aktivnost srca. Za ljude je aritmija opasna, stoga je njezina automatska identifikacija nužna za kliničku dijagnozu i postupanje. U radu je prikazan algoritam za detekciju srčanih aritmija primjenom valićne transformacije. Ovaj algoritam izvlači značajke iz EKG signala, računa brzinu otkucaja srca i prepoznaje četiri vrsta aritmija: bradikardija, tahikardija, miokardijalna ishemija i dekstrokardija. Algoritam je razvijen pomoću programskog paketa MATLAB i testiran pomoću MIT-BIH standardne baze EKG signala snimljenih na pacijentima s aritmijama.
Abstract (english)
The electrocardiogram (ECG) is a record of the heart's electrical activity that is generated during polarization and depolarization of atria and ventricles. It is widely used tool for cardiac diagnostic. Typical parts of an ECG signal are: a P wave, a QRS complex and a T wave. Cardiac arrhythmia indicates abnormal electrical activity of heart. For humans, arrhythmia is dangerous, so its automatic identification is necessary for clinical diagnosis and treatment. In this paper an algorithm is proposed for arrhythmia detection based on wavelet transform. This algorithm extract features from the ECG signal, calculate heart rate and recognize four types of arrhythmias: bradycardia, tachycardia, myocardial ischemia and dextrocardia. The algorithm was developed using the software package MATLAB and tested using the MIT-BIH standard database of ECG signals recorded on patients with arrhythmia.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:422028
Study programmeTitle: Electrical Engineering and Information Technology
Study programme type: university
Study level: undergraduate
Academic / professional title: sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka elektrotehnike i informacijske tehnologije (sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka elektrotehnike i informacijske tehnologije)
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File originBorn digital
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Created on2019-03-14 01:30:59