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Detection of ventricular extrasystoles
Svánovská, Zuzana ; Mézl, Martin (referee) ; Sekora, Jiří (advisor)
Ventricular extrasystoles are pathological changes in the ECG signal. Detection of ventricular extrasystoles on 12leads ECG was created in MATLAB. My work contains two algorithms. The first of these algorithms is based on comparision wides of QRS komplexes. The second algorithm matchs maximum and minimum evaluations of QRS komplexes. We look for agreements beetween these two algorithms and finally if we find these agreenments in seven leads at least we will suppose presence of ventricular extrasystoles.
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Application of neural networks for classification of T-wave alternations
Procházka, Tomáš ; Harabiš, Vratislav (referee) ; Hrubeš, Jan (advisor)
This thesis deals with analysis of T-wave Alternans (TWA), periodical changes of T wave in ECG signal. Presence of these alternans may predict higher risk of sudden cardiac death. From the several possible ways of TWA classification, the training algorithms of self organizing maps are used in this thesis. Result of the thesis is a program, which in the first step detects QRS complexes in the signal. Then, in the next step, gained reference points are used for T-waves detection. Detected waves are represented by a vector of significant points, which is used as an input for artificial neural network. Final output of the program is a decision about presence of TWA in the signal and its rate.
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Analysis of T wave alternations in programming language C - Radek Poul
Poul, Radek ; Vítek, Martin (referee) ; Rychtárik, Milan (advisor)
The thesis deals with detection of T-wave alternans. The presence of T-wave in surface ECG is recognized as a marker of electrical instability of heart in stage his repolarization, arise increased risk of emergence ventricular fibrillation and sudden cardiac death. The goal of our project is familiarize with methods of detection T-wave alternans. In particular spectral method and spectral method which was realized in variant for running reading values in time (“sliding window”). To suggest a QRS complex detector, localize the T-wave and to make TWA detection using spectral method and modified spectral method. This project is to be made in C language in appropriate user interface.
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Design of On Demand Cardiac Pacemaker in LabVIEW
Borovičková, Michaela ; Tannenberg,, Milan (referee) ; Sekora, Jiří (advisor)
Proposal On Demand type pacemaker for educational purposes is designed and realized in the programming environment of LabVIEW. The thesis is a general description of pacemakers with the distribution according to various criteria including the type and duration of stimulation, scope, etc. Specifically, it dealt with a type of pacemaker On Demand system and made a proposal for implementation. To compare the effectiveness of the R wave detector includes a LabVIEW implementation of three selected methods for detection of R wave and by squaring the filtered signal, detecting the filtered envelope and wavelet transform. The outcome is a virtual pacemaker stimulation pulse with adjustable amplitude and pulse width.
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Detection of QT interval in ECG using first and second derivative
Rybár, Andrej ; Smital, Lukáš (referee) ; Chrobák, Martin (advisor)
This bachelor´s thesis deals with QT interval measurement and detection. The thesis starts with problematic of ECG signal delineation and its methods of detection of QT interval using first and second derivate. Next part of the work describes QRS complex detector. For this detection it is suitable to use detector based on the Pan-Tompkins algorithm. Next in practical part of the work is described algorithm of the detection of QT interval using first and second derivate. Selected algotithm was evaluated on the standard CSE database. Detected positions were compared with reference values. Result of this work is evaluation of results.
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Detection of ventricular extrasystoles
Svánovská, Zuzana ; Mézl, Martin (referee) ; Sekora, Jiří (advisor)
Ventricular extrasystoles are pathological changes in the ECG signal. Detection of ventricular extrasystoles on 12leads ECG was created in MATLAB. My work contains two algorithms. The first of these algorithms is based on comparision wides of QRS komplexes. The second algorithm matchs maximum and minimum evaluations of QRS komplexes. We look for agreements beetween these two algorithms and finally if we find these agreenments in seven leads at least we will suppose presence of ventricular extrasystoles.
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Design of On Demand Cardiac Pacemaker in LabVIEW
Borovičková, Michaela ; Tannenberg,, Milan (referee) ; Sekora, Jiří (advisor)
Proposal On Demand type pacemaker for educational purposes is designed and realized in the programming environment of LabVIEW. The thesis is a general description of pacemakers with the distribution according to various criteria including the type and duration of stimulation, scope, etc. Specifically, it dealt with a type of pacemaker On Demand system and made a proposal for implementation. To compare the effectiveness of the R wave detector includes a LabVIEW implementation of three selected methods for detection of R wave and by squaring the filtered signal, detecting the filtered envelope and wavelet transform. The outcome is a virtual pacemaker stimulation pulse with adjustable amplitude and pulse width.
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Application of neural networks for classification of T-wave alternations
Procházka, Tomáš ; Harabiš, Vratislav (referee) ; Hrubeš, Jan (advisor)
This thesis deals with analysis of T-wave Alternans (TWA), periodical changes of T wave in ECG signal. Presence of these alternans may predict higher risk of sudden cardiac death. From the several possible ways of TWA classification, the training algorithms of self organizing maps are used in this thesis. Result of the thesis is a program, which in the first step detects QRS complexes in the signal. Then, in the next step, gained reference points are used for T-waves detection. Detected waves are represented by a vector of significant points, which is used as an input for artificial neural network. Final output of the program is a decision about presence of TWA in the signal and its rate.
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Analysis of T wave alternations in programming language C - Radek Poul
Poul, Radek ; Vítek, Martin (referee) ; Rychtárik, Milan (advisor)
The thesis deals with detection of T-wave alternans. The presence of T-wave in surface ECG is recognized as a marker of electrical instability of heart in stage his repolarization, arise increased risk of emergence ventricular fibrillation and sudden cardiac death. The goal of our project is familiarize with methods of detection T-wave alternans. In particular spectral method and spectral method which was realized in variant for running reading values in time (“sliding window”). To suggest a QRS complex detector, localize the T-wave and to make TWA detection using spectral method and modified spectral method. This project is to be made in C language in appropriate user interface.
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