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Methods for detection of QRS complex
Lysák, Karel ; Chrobák, Martin (referee) ; Smital, Lukáš (advisor)
This bachelor’s thesis deals with methods for detection of QRS complex in the ECG signal. There are described selected detection approaches, basic information about ECG and electrical activity of cardiac muscle. There is also described detailed procedure for the implementation of the three methods of detection in MATLAB and an assessment is made of the detectors tested on the CSE database. There are described some methods of cluster analysis and their possibilities of usage. There is also a description of detectors created by using cluster analysis and their efficiency is tested on the CSE database. Finally, there is a comparison of detection rates of all created detectors.
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Delineation of experimental ECG records
Bucsuházy, Kateřina ; Ronzhina, Marina (referee) ; Vítek, Martin (advisor)
This master thesis deals with QRS complex detection and ECG delineation. The theoretical part of this work describes wavelet transform, some of QRS detection approaches and some of ECG delineation approaches. For algorithm realization in Matlab is used redundant dyadic discrete wavelet transform. Algorithm is designed for experimental electrocardiograms of isolated rabbit hearts and it is evaluated through manually determined references.
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Detection of the repolarization parameters from ECG
Brandejs, Jakub ; Halámek, Josef (referee) ; Veselý, Petr (advisor)
A T wave peak and offset detector based on an unpublished lead transformation that can be briefly described as multilead linear regression was proposed and implemented afterwards. Potential of the transformation as a useful QRS detection tool was revealed later on. Proposed QRS detector was put to the test of CSE database. Results were compared with work of other authors. Results of T wave peak and offset detector were introduced in visual way.
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Delineation of experimental ECG data
Hejč, Jakub ; Janoušek, Oto (referee) ; Vítek, Martin (advisor)
This thesis deals with a proposition of an algorithm for QRS complex and typical ECG waves boundaries detection. It incorporates a literature research focused on heart electrophysiology and commonly used methods for ECG fiducial points detection and delineation. Out of the presented methods an algorithm based on a continuous wavelet transform is implemented. Detection and delineation algorithm is tested on CSE standard signal database towards references determined both manually and automatically. Obtained results are compared to other congenerous methods. The diploma thesis is further concerned with an algorithm modification for experimental electrocardiograms of isolated rabbit hearts. Recording specifics of these data are introduced. Additionally, based on time and frequency analysis, particular modifications of the algorithm are proposed and realized. Due to a large extent of records functionality is verified on randomly selected database samples. Efficiency of the modified algorithm is evaluated through manually annotated references.
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Delineation of experimental ECG data
Hanzelka, Adam ; Ronzhina, Marina (referee) ; Vítek, Martin (advisor)
This master's thesis deals with an analysis of principles of ECG signals detection and delineation. The theoretical part describes heart electrophysiology and electrocardiography basics. Next, the most important QRS detection and ECG delineation algorithms are introduced. Especially the wavelet transform methods are described. In the practical part proper delineation algoriythm was realized. It was tested on the standard CSE database, then it was modified on data of isolated rabbit heartsand the results are published in the conclusion.
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