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Automatic delineation of ECG signals
Žiak, Milan ; Smital, Lukáš (referee) ; Vítek, Martin (advisor)
This thesis deals about automatic delineation of ECG. We use algorithm, which is descriped by autors Lagune, Jané and Caminale. Their work uses first derivation for delineation ECG signal. This bachelor thesis also uses a wavelet transform to reach better results.
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Averaging of biological signals
Kubík, Adam ; Čmiel, Vratislav (referee) ; Smital, Lukáš (advisor)
The main aim of this thesis is to introduce issue of averaging of biological signals. The first part of the thesis deals with the principles of individual averaging methods (constant, floating and exponential window) and describes their basic features. Moreover, the principle of filtered residue, detection of QRS complex, and stretching/shrinking the length of RR-interval to the standardized length are explicated. In the second part of the thesis the outcomes of practically realized (Matlab and GUI) methods of averaging (by final signal-to-noise ratio) are evaluated. Signals from MIT-BIH database are used.
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P wave detection in ECG signals
Bajgar, Jiří ; Kozumplík, Jiří (referee) ; Smital, Lukáš (advisor)
The aim of this diploma thesis is to introduce methods of detection of the QRS complex and the subsequent detection of P waves. The intention is to create a program by specified method in the software Matlab which will be able to implement this method. The thesis describes the basic and important methods of detection and subsequent algorithm to detect P waves. Solution of the algorithm is tested on real data. It also describes the automatic signal evaluation and the results of this automatic function.
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Plagiarism detection of text documents
Lízal, Radek ; Vítek, Martin (referee) ; Smital, Lukáš (advisor)
This diploma thesis introduces the definition of plagiarism, distinguishes the types of plagiaries which often take place in praxis and the ways of determining the suspected texts. The means of detection are essential; therefore a whole chapter is dedicated to those. For the detection purposes, it is vital to pre-process the data to reduce the demand factor of the program. There is a preview of some programs which are already being used for the detection of plagiarism. The following chapter introduces some selected indications which have been implemented in the Matlab environment to create a detector of plagiaries in text documents. The created program is described in chapter eight. The applied indications and the detector response are described in a chapter called Indications testing. The testing proved the quality of these indications. The results together with pros and cons of the particular methods are discussed in the conclusion.
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Maximization of ECG signals diagnostic yield
Beháňová, Andrea ; Smital, Lukáš (referee) ; Vítek, Martin (advisor)
This bachelor thesis deals with the maximization of ECG signals diagnostic yield. In the theoretical section we deal with the physiology of the heart, electrocardiography, types of ECG noises. It describes some known methods for the estimation of quality of the ECG signal. The practical section contains two parts. The first one contains a continuous Signal-to-Noise Ratio (SNR). It includes generating artificial ECG signal, artificial myopotentials and implementation of Adaptive Wiener Wiener Filtrate (AWWF). After verification of the correctness of the filter on the artificial data, we started to use real data from MIT-BIH database. The second part involves a segmentation process that divides the ECG signal into three categories: a signal suitable for full analysis, suitable for detection of QRS complexes and a signal unsuitable for further analysis.
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ECG noise generator
Siegel, Jan ; Walek, Petr (referee) ; Smital, Lukáš (advisor)
The signal of ECG is interfered by the noise of different origin.. Most common are powerline interferences, baseline wandering, electromyographic and impuls noises. Such kind of noise is undesirable in signal since they decrease diagnostic yield in ECG. For effective removal of noise, we must detect the type of interference consequently use its theorists properties for specific filtration. The aim of this work is to creat a technical tool - ECG noise generator. ECG noise generator is being used for simulation of signal with defined parameters and type of noise. This noise generator can be employed for the verification of techniques designed for the elimination of interferences or the identification of the noise present in the unknown signal.
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Comparison of heart activity sensing devices
Babicová, Martina ; Smital, Lukáš (referee) ; Smíšek, Radovan (advisor)
The goal of this work is comparison of heart activity sensing devices. However, an ECG record cannot be evaluated with the presence of muscle interference. Removing this noise is one of the needs for device success. The theoretical part represents electrophysiology of the heart, electrocardiography, various interferences types, theoretical basis for recording of biosignals including used devices and methods signal quality estimation. The practical part is SNR (signal-to-noise ratio) calculation. The Wavelet filter and Wiener filter-based wavelet domain are used to separate the useful and noise component.
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Determination of Blood Pressure
Plch, Miroslav ; Smital, Lukáš (referee) ; Čmiel, Vratislav (advisor)
The thesis includes a general introduction to monitoring and measurement of blood pressure of horses, the design of algorithms for pressure curve detection and the calculation of respiratory variabilities in mechanical ventilation under anaesthesia. The first two chapters focus on anatomy, on characteristics of blood flow and on vascular system. Then it deals with the measurement of blood pressure, monitoring of a horse under anaesthesia and it describes particular thermodynamic parameters. In the following part of the thesis, the methods of pressure curve detection are described. The last part contains the description of an algorithm designed for detection of pressure curve of horses in the environment of the program LabVIEW. The program calculates, displays and saves variabilities of systolic pressure, pulse volume, pressure amplitude, pulse frequency, peripheral resistance and vascular expansion from the detected values.
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ECG analysis
Heczko, Marian ; Smital, Lukáš (referee) ; Vítek, Martin (advisor)
The topic of this master's thesis is the analysis of ECG signals using wavelet transform. In the introductory chapters there is a brief description of heart anatomy, the emergence and spread of potentials, which evocating activities of myocardium. There is an overview of techniques used for ECG signals analysis and explanation of ECG curve diagnostic importance. Work also containts an ECG signal analysis common procedure explanation and different approaches brief overview. The main part of this work is an application detecting significant intervals in the ECG signal, developed in Matlab. In several chapters the detection procedure is described in more details and gave reasons for chosen methods. In the last chapter there is a preview of several signals as a result of developed application, together with evaluation of the tests carried out at the CSE database. Detector sensitivity was quantified over 99,10%.
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