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QRS detection using zero crossing counting
Hylmar, Petr ; Janoušek, Oto (referee) ; Vítek, Martin (advisor)
This master's thesis describes basics principles of QRS complex detection. It is focused on QRS detection using zero crossing counts method. There are described princips and program realization of this method. The other part is focused on genetic optimalization algorithm. There are presented obtained optimalization results on standard CSE and MIT-BIH database. The quality of the detector is compared with other authors. The optimalized QRS detector achieves comparable results with other authors. The part of the thesis is graphical user interface which supply view on modified ECG signal and detection results.
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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 ventricular extrasystoles
Veleba, Josef ; Vítek, Martin (referee) ; Mézl, Martin (advisor)
This thesis focuses on the issue of ventricular extrasystoles and their detection in ECG signal. It provides a brief description of physiological electrical activity of the heart with the theoretical analysis of ventricular extrasystoles, QRS complex detection methods and the related detection of premature ventricular contractions. The main part of the work presents the process of implementation of selected QRS complex detection and premature ventricular contractions detection methods in MATLAB with the evaluation of test results.
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Delineation of ECG signals using phasor transform
Koupil, Michal ; Vítek, Martin (referee) ; Maršánová, Lucie (advisor)
TThis project deals with delineation of ECG signals using phasor transform. This method is rather new in the field of automatic delineation of ECG and it is not widely used in practice yet. In the theoretical part, the relation between heart activity and ECG is described. A phasor transform is also described. In the practical part, a program was implemented in the computing environment of MATLAB. Its purpose is to delineate the signals. At first, it detects waves’ peaks, then its beginning and starting points. In the next part, analysis of the results is done, as well as comparison with other authors. The testing was performed on the QT signals from the Physionet database.
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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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Deep learning based QRS delineator
Malina, Ondřej ; Hejč, Jakub (referee) ; Smíšek, Radovan (advisor)
This thesis deals with the issue of automatic measurement of the duration of QRS complexes in ECG signals. Special emphasis is then placed on the possibility of automatic detection of QRS complexes while exciting cardiac tissue with a pacemaker. The content of this work is divided into four logical units, where the first part deals with the heart as an organ. It describes the origin and spread of excitement in the heart, its possible pathologies and their manifestations in ECG recording, it also deals with pacing and measuring ECG recording during simultaneous pacing. The second part of the thesis contains a brief introduction to the topic of machine and deep learning. The third part of the thesis contains a search of current approaches using methods based on deep learning to solve the detection of QRSd. The fourth part deals with the design and implementation of its own model of deep learning, able to detect the beginnings and ends of QRS complexes from ECG recordings. It describes the data preprocessing implemented in the MATLAB programming environment. The actual implementation of the model was performed in the Python using the PyTorch and NumPy moduls.
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Detection of QRS complex in resting ECG and exercise ECG
Ondráček, Pavel ; Odstrčilík, Jan (referee) ; Kašpar, Jakub (advisor)
This thesis deals with methods for detection of QRS complex in ECG signal. There is described electrical activity of cardiac muscle and the ECG signal itself. There are also described some of the methods for detection of QRS complex and detailed procedure of realization of the two methods in matlab. Also, the efficiency of each method is discussed and compared at the end of the thesis.
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ECG Biofeedback
Macková, Pavlína ; Kolářová, Jana (referee) ; Sekora, Jiří (advisor)
The master’s thesis is focused on the possibilities of measuring heart rate of ECG signal and its use in therapeutic game of ECG biofeedback. This thesis describes the way of measuring ECG with acquisition unit Biopac and analyzes signal processing for measurement of heart rate – algorithms of QRS detection, HRV analysis. Realisation of therapeutic is designed for applications in Matlab.
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Breathing Rate Estimation from the ECG and PPG Signals
Blaude, Ondřej ; Němcová, Andrea (referee) ; Kozumplík, Jiří (advisor)
This bachelor’s thesis is focused on breath rate estimation. In this thesis, methods of breath rate estimation from the ECG and PPG signal are described and implemented. In the first two chapters the basics of ECG measurements are described, as well as the measurements of the respiratory system activity and the PPG signal. The third chapter then describes the ECG/PPG-derived respiratory signal estimation methods, later on the breath rate determination. In the fourth chapter, chosen methods are implemented and the created algorithms are applied on real data from the BIDMC database.
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