Detekcija karakterističnih veličina signala EKG-a valićnom transformacijom

undergraduate thesis

• Title (english): Characteristic ECG Signal Features Detection Using Wavelet Transformation
• Author: Maja Begić
• Mentor: Mario Cifrek (mentor)
• Committee member: Mario Cifrek (predsjednik povjerenstva)
• Committee member: Krešimir Friganović (član povjerenstva)
• Committee member: Ivana Čuljak (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

Elektrokardiogram (EKG) je zapis električne aktivnosti srca. Karakteristični dijelovi EKG signala su: P-val, QRS-kompleks i T-val. Detekcija tih karakterističnih dijelova EKG signala predstavlja važan faktor za proučavanje rada srca.
U ovom radu objašnjena je električna aktivnost srca, valićna transformacija kao metoda analize signala te je razvijen algoritam za detekciju karakterističnih veličina EKG signala. Za obradu EKG signala korištena je diskretna valićna transformacija (engl. Discrete Wavelet Transformation, DWT), a testiranje algoritma provedeno je na standardnoj MIT-BIH bazi signala za aritmiju. Sam algoritam implementiran je uz pomoć programskog paketa Matlab.

Abstract (english)

The electrocardiogram (ECG) is a record of the heart’s electrical activity. Typical parts of an ECG signal are: P wave, QRS complex and T wave. Detection of these characteristic parts of the ECG signal is an important factor for the study of the heart functions.
This paper explains electric activity of the heart and wavelet transform as a method of signal analysis. An algorithm for detection of characteristic points of ECG signal has been developed. The discrete wavelet transform (DWT) was used to analyze the ECG signals and the algorithm testing was performed on the standard MIT-BIH arrhythmia signal base. Algorithm is implemented within MATLAB programming environment.

• Keywords: valićna transformacija; EKG (elektrokardiogram); detekcija karakterističnih veličina
• Keywords (english): wavelet transform; ECG (electrocardiogram); detection of characteristic points
• Language: croatian
• URN:NBN: urn:nbn:hr:168:387957
• Study programme: Title: 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)
• Type of resource: Text
• File origin: Born digital
• Access conditions: Closed access
• Created on: 2020-01-07 16:39:58