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Automatic detection of myocardial infarction in ECG
Nejedlý, Lukáš ; Kozumplík, Jiří (referee) ; Smíšek, Radovan (advisor)
This master’s thesis deals with the automatic detection of myocardial infarction in ECG. Semester work consists of two parts. The theoretical part provides a description of the electrical conduction system of the heart, spreading of electrical activity through the heart muscle, the methods of ECG scanning and the ECG curve. There are also mentioned the causes of myocardial ischemia and various methods of its detection. Another part is devoted to high-frequency ECG, analysis of HFQRS and clinical studies which describe the use of high-frequency ECG in diagnosis of myocardial infarction. In the practical part is proposed an algorithm using low-frequency components ECG and an algorithm using high-frequency components ECG for automatic detection of myocardial infarction. The proposed algorithms are implemented in programming environment MATLAB and tested on signals from the PTB database. The final part of the master‘s thesis is devoted to the comparison of the success of myocardial infarction by means of low frequency and high frequency components of ECG and comparison of achieved results with results from clinical studies.
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Analysis of measured parameters of the cardiovascular system
Lysoň, Jakub ; Vítek, Martin (referee) ; Kratochvíla, Jiří (advisor)
This bachelor thesis talks about the measurement of heart electrical activity by twelve lead ECG. The diagnostic system Biopac is used for measurement, featured by the computer program Acqknowledge. The own authentic method is designed to detect effect of load on increasing in blood pressure and heartbeat. Using a statistical procedure for testing hypotheses in this area the measurement results will be evaluated. For the analysis of measured data in time and frequency domain was used program Matlab, in which the measured results were imported. It was created functions that are implemented in an medium of Guide to the graphic design program.
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The acquisition system for electrogram recording
Fajmon, František ; Ronzhina, Marina (referee) ; Janoušek, Oto (advisor)
This thesis deals with acquisition and wireless transmission of EKG from isolated heart. Basic of heart anatomy and physiology are discussed in thesis. Practical part of thesis covers the idea of ECG acqusition system design and development. Arduino platform is used for implementation of proposed device. Evaluation of ECG is performed in Matlab workspace.
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The measurement of cardiovascular parameters
Žáková, Monika ; Kratochvíla, Jiří (referee) ; Nováková, Zuzana (advisor)
This paper summarizes the problems of physiology of the cardiovascular system, with a focus on cardiovascular measurements during physical activity. It describes the diagnostic tools Cardiovit AT-104 (Schiller, Switzerland) and PowerCube (Ganshorn, Germany), used to spiro-ergometry measurements. It provides options to export data and work with them. It proposed protocol for the measurement of a small group of volunteers, by which we measure basic diagnostic parameters before, during and after physical activity. The MATLAB application is created, allowing clear analysis of measurement records. The final part contains a statistical assessment affected by physical activity on the measured parameters and a comparison of results with the available literature.
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Evaluation of electrical axis of the heart
Temelová, Kristýna ; Vítek, Martin (referee) ; Janoušek, Oto (advisor)
This bachelor's thesis describes the issue of electrocardiography focusing on the methodology of automatic evaluation of heart's electrical axis. Part of this work is a description of an application created in Matlab which enables to plot the tilt of the cardiac axis. The cardiac axis is evaluated in terms of its dependence on the examined person's position. This bachelor's thesis includes a database of ECG signals of twelve volunteers measured in various positions (supine, sitting, tilted), obtained using the Biopac system, accompanied by video documentation. The created application serves both the data analysis from the database and other experimental signals. A guide for students performing practical exercises is included.
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Automatic delineation of ECG signals
Tiurina, Mariia ; Kozumplík, Jiří (referee) ; Vítek, Martin (advisor)
This semester’s thesis deals about delineation ECG signals. Semester work consists of two parts. The theoretical part provides a brief introduction to the principles of electrocardiography, sensing methods electrocardiography recording and description of some well-known methods for seasons auto electrocardiographic signals. The practical part is a program that is implemented in programming environment Matlab and the results of its testing twelve lead signals from the CSE database. Using statistical methods, the results are compared with the results of the listed authors methods
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Relationship between breath and electrocardiogram
Hamerský, Jan ; Janoušek, Oto (referee) ; Kolářová, Jana (advisor)
The main goal of this thesis is to familiarize readers with the problem of influence on the cardiac cycle. Thesis analyzes necessary concepts to understand electrophysiology of heart, mechanisms affecting heart beats, respiratory identifides methods for detection of respiratory frequency presents in electrocardiogram, proposes own measurement protocol of the influence of respiratory rate on electrcardiogram, implements detection of respiratory rate of the measured records, compares the measured results
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The principles of software QRS detection
Mosyurchak, Andriy ; Smital, Lukáš (referee) ; Vítek, Martin (advisor)
The aim of this project is to introduce the methods of software detection in ECG signals. This thesis includes description of electrocardiogram signal and the main components of the ECG. The following describes the basic methods of QRS complexes detection. In this thesis are realized three methods of QRS detection: Pan-Tompkins algorithm, method based on counting zero crossings and technique using adaptive quantized threshold. Methods are realized by program MATLAB and then tested on CSE database.
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Use of higher-order cumulants for ECG analysis
Maršánová, Lucie ; Janoušek, Oto (referee) ; Ronzhina, Marina (advisor)
This work deals with using higher order cumulants for analysis ECG. In the first part of work is described principle of electrocardiography, followed by matemathical derivation of higher order cumulants, description of their properties and their use in current practice. In the next part of paper is described caltulation higher order statistic of ECG beats in Matlab programming environment. In the practical part of work are tested predicted properties. Distinctive properties are minimalization of amplitude and time shift and Gaussian noise. This properties of higher order cumulants enable lesser variance of beats in one class and easier clasification ECG. Calculation of cumulants from real ECG beats of various groups is then realized. Classification based on the original ECG cycles and cumulants is performed using artificial neural network. Results of these classification approaches are then compared and discussed.
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Atrial fibrillation detection using time-domain methods
Sámel, Maroš ; Ronzhina, Marina (referee) ; Janoušek, Oto (advisor)
The purpose of this work is to get better understanding of the problems of atrial fibrillation followed by the processing methods for detection of atrial fibrillation based on an analysis of the ventricular rhythm. Methods that are described: method of medians, methods based on histograms (using coefficient of variation and density histograms of RR and RR intervals), method using RdR map, method using complexity of RR intervals and methods based on a statistical framework by Gaussian distribution and Laplace function The practical part of this work is focused on comparing these methods and selecting the best one – method of medians is the chosen one. This is followed by implementation of this method in the Matlab and testing it on the real data from a selected database. In the end, the detection ability of our method is evaluated and compared with the thoeretical detection abilities of the other methods. Our algorithm for detection of atrial fibrillations, based on the median method, achieved excellent results with the highest value of specificity obtained at 93,976%, sensitivity at 89,182% and AUC (area under the curve) at 0,973.
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