National Repository of Grey Literature 61 records found  1 - 10nextend  jump to record: Search took 0.00 seconds. 
Analysis of heart rate variability in animal models
Řehořková, Iveta ; Ronzhina, Marina (referee) ; Kolářová, Jana (advisor)
This paper deals with the analysis of heart rate variability (HRV) in animal models. The first part discusses, the basic information concerning the ECG, both in humans and in individual laboratory animals. This is followed by an introduction to the topic of heart rate variability, a description of methods for its determination and the effects of pathologies on HRV values. Prior to the practical section, the methods of ECG acquisition in animal models are discussed, and the function of the perfusion model used in capturing data for this work is also described in detail. The last part deals with the analysis of HRV provided data, performed in Matlab environment and an evaluation of the chosen methods.
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.
Delineation of ECG signals using leads transformation
Ruttner, Michal ; Ronzhina, Marina (referee) ; Vítek, Martin (advisor)
This work deals with delineation of ECG signals. First we will become familiar with ECG and commonly used processing methods. Various transformation methods of ECG leads. Further we will describe methods of delineation ECG signals. Second part is dedicated to metod used in this work for delineation of ECG signals from CSE database. Particulary method using Dyadic Wavelet Transform. Work include, description of used program and results. Third part is dedicated to methods of ECG leads transformations and cluster analysis. In conclusion we will evaluate the results.
Noise suppression in ECG signal based on the empirical mode decomposition
Hemzalová, Zuzana ; Vítek, Martin (referee) ; Kozumplík, Jiří (advisor)
This thesis is focused on signal-filtering method based on empirici mode decomposition. The proposed EMD-based method is able power line interference to remove with minimum signal distortion.
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.
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.
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.
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.
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.
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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