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master's thesis
Pronalaženje ili prepoznavanje QRS kompleksa u EKG-u
Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, 2024. urn:nbn:hr:200:342240
Mandić, Bojan
Josip Juraj Strossmayer University of Osijek
Faculty of Electrical Engineering, Computer Science and Information Technology Osijek
Department of Software Engineering
Chair of Programming Languages and Systems

Institutional repository: Faculty of Electrical Engineering, Computer Science and Information Technology Osijek

Cite this document

Mandić, B. (2024). Pronalaženje ili prepoznavanje QRS kompleksa u EKG-u (Master's thesis). Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek. Retrieved from https://urn.nsk.hr/urn:nbn:hr:200:342240

Mandić, Bojan. "Pronalaženje ili prepoznavanje QRS kompleksa u EKG-u." Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, 2024. https://urn.nsk.hr/urn:nbn:hr:200:342240

Mandić, Bojan. "Pronalaženje ili prepoznavanje QRS kompleksa u EKG-u." Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, 2024. https://urn.nsk.hr/urn:nbn:hr:200:342240

Mandić, B. (2024). 'Pronalaženje ili prepoznavanje QRS kompleksa u EKG-u', Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, accessed 30 November 2024, https://urn.nsk.hr/urn:nbn:hr:200:342240

Mandić B. Pronalaženje ili prepoznavanje QRS kompleksa u EKG-u [Master's thesis]. Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek; 2024 [cited 2024 November 30] Available at: https://urn.nsk.hr/urn:nbn:hr:200:342240

B. Mandić, "Pronalaženje ili prepoznavanje QRS kompleksa u EKG-u", Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, Osijek, 2024. Available at: https://urn.nsk.hr/urn:nbn:hr:200:342240

Metadata
TitlePronalaženje ili prepoznavanje QRS kompleksa u EKG-u
Title (english)Finding or recognizing the QRS complex in the EKG
AuthorBojan Mandić
MentorKrešimir Nenadić (mentor)
Committee memberKrešimir Nenadić (predsjednik povjerenstva)
Committee memberHrvoje Leventić (član povjerenstva)
Committee memberRobert Šojo (član povjerenstva)
GranterJosip Juraj Strossmayer University of Osijek
Faculty of Electrical Engineering, Computer Science and Information Technology Osijek
(Department of Software Engineering)
(Chair of Programming Languages and Systems)
Osijek
Defense date and country2024-10-15, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Data Processing
Abstract
Tema ovog rada je izrada aplikacije za detekciju QRS kompleksa u zadanom EKG signalu. EKG je neizostavan alat za dijagnostiku u medicini, za što je bitna detekcija i analiza njegovih karakterističnih točaka. U opsegu ovoga rada objašnjena je graĎa srca, gdje električni signal nastaje i kako putuje kroz njega, te EGK i njegove karakteristike. TakoĎer, opisana je implementacija i način rada aplikacije, a rad iste je testiran na uzorcima iz MIT-Arrythmia baze podataka. Rezultati testiranja su zatim detaljno analizirani i prikazani, te je na temelju njih donesen zaključak o preciznosti aplikacije. Za izradu aplikacije korišten je programski jezik Python i njegove pripadajuće biblioteke.
Abstract (english)
The subject of this paper is the implementation of an application for the detection of QRS complexes in a given EKG signal. The EKG is an indispensable diagnostic tool in medicine, for which the detection and analysis of its characteristic points is essential. The structure of the heart, where the electrical signal originates and how it travels through it, and the EKG and its characteristics are explained in the scope of this paper. Also, the application's implementation and mode of operation are described, and its operation was tested on samples from the MITArrythmia database. The test results were then analyzed and presented in detail, and based on them, a conclusion was made about the accuracy of the application. The Python programming language and its associated libraries were used to create the application.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:200:342240
Study programmeTitle: Graduate University Study Programme in Computer Engineering
Study programme type: university
Study level: graduate
Academic / professional title: sveučilišni/a magistar/magistra inženjer/inženjerka računarstva (sveučilišni/a magistar/magistra inženjer/inženjerka računarstva)
Type of resourceText
File originBorn digital
Access conditionsOpen access
Terms of useLicence In copyright icon
Created on2024-10-22 08:19:48