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Analysis of Heart Rate Variability
Peterek, Jan ; Janoušek, Oto (referee) ; Kozumplík, Jiří (advisor)
The goal of this thesis is to describe and implement the chosen method for estimating the power spectrum of heart rate variability. Two methods have been developed that are aligned with each other conclusion. This thesis of theoretical and practical parts. The theoretical part describes the theory of the ECG signal and heart rate variability in the practical part the realization of the two selected methods for estimating the power spectrum of heart rate variability, and several other auxiliary display in Matlab
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Measure of EKG signals and design of software QRS detection
Handl, Marek ; Kolář, Radim (referee) ; Kuna, Zdeněk (advisor)
This work deals with the ECG signal detector and the implementation of the QRS complex. The paper briefly describes the anatomy of the heart, the emergence and spread of potentials that are evoked activity myocard. It follows introduction to the methods reading of ECG signals and the possibility of automatic classification of rhythm. The thesis also describes some of QRS detection algorithms and database PhysioNet, which includes a library of physiological signals. Finally are given the possibility of a computer system Biopac which is used for measuring biological signals. The second part focuses on the design of an algorithm of QRS complex detection and classification of the basic rhythm in the Matlab environment. The detector is tested on both test data, and the signals measured Biopac system. The work is also very effective optimization of the detector.
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Bioimpedance signal processing
Soukup, Ladislav ; Kolářová, Jana (referee) ; Provazník, Ivo (advisor)
The aim of this thesis is a study of impedance cardiography and its subsequent use in determining the cardiac output. The calculation in this work uses three default types of biological signals: the ECG signal to gallop and the impedance cardiography. There are identified the necessary parameters of the signals, especially heart rate, heart sounds (S1,S2) and the derivative impedance cardiography. This method of determining cardiac output is non-invasive and is easy to perform for doctor and patient, which is very important for risky patient especialy. Disadvantage is imprecision, that is eliminated by modifying the algorithm of the calculation. User interface for processing all the necessary signals and the subsequent calculation of cardiac output was implemented in MATLAB programming environment and is optimized for data measured and processed in the ISI ASCR.
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Narrow Band Filtering of ECG Signals
Ryšánek, Jan ; Provazník, Ivo (referee) ; Kozumplík, Jiří (advisor)
This work deals with ECG signal preprocessing. Purpose of the preprocessing is adjustment of signal which is favorable for its subsequent analysis. The objective of this work is to filter the ECG signal by suitable methods of linear and adaptive filtering leading to the suppression of unwanted interference. The next step is to compare different degrees of success filtering thanks to results which were reached by the indivudual methods. Criterions of success filtering are based on the basic requirements for digital filters. Design of filters is realized in matlab programme. To realization is used FIR and IIR type of filters and adaptive type of filters
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ECG preamplifier with floating input and calibration
Florián, Antonín ; Rampl, Ivan (referee) ; Chmelař, Milan (advisor)
This thesis deals with amplifiers that are usable for reading of EKG signals. The first part of the thesis deals with the history of EKG and with the features of the EKG signal. The second part of the thesis deals with general requirements and safety requirements that are imposed on EKG preamplifiers. A very important part of the thesis is the description of particular parts of EKG preamplifier and the ways how to acquire reduction of disturbance. The last part of this thesis is focused on design of ECG preamplifier with floating input and calibration. ECG preamlifier is designed for battery power.
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QRS Complex Detector
Kubík, Adam ; Provazník, Ivo (referee) ; Smital, Lukáš (advisor)
The aim of my thesis is to introduce issue of detection of QRS complex by squaring and envelope detection. The first part focuses on creation and scanning of heart electrical activity. Afterwards, the most frequent types of disturbance of EKG signal and their filtering are described. The second part is about real application of signal filtration and emphasis of QRS complexes using the methods which are mentioned above. Practical part is externalized in Matlab program. And signals from CSE library are used to test efficiency of the detectors.
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Presentation of selected themes of BSIS in PPT-environment
Havlín, Radomil ; Šebesta, Vladimír (referee) ; Sigmund, Milan (advisor)
The bachelors thesis occupy by topics of the course BSIS, which can be presented by the multimedia and animation techniques in the presentation. In the introduction, these topics are given a different method of processing. In most cases, provides a modular solution by demonstration and argued spectrum signal. The chapters describe the operation with one, two signals at the time, the properties of Fourier transform with illustrative demonstration, the correlation with convolution, kvaziperiodické signals and the last chapter the spectrum of selective signals.
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ECG measurement and processing in LabView
Veselý, Petr ; Kozumplík, Jiří (referee) ; Kolář, Radim (advisor)
The thesis, as its title shows, is focused on the ECG signal processing and the QRS complex detection. Its first part provides the anatomical description of the heart itself. Due to the irritation of the heart muscle, the atrium of the heart and the ventricles gradually contract and relax. In these stages, it is possible to measure a certain electric activity of the heart. This is called the ECG. The curve consists of several distinctive waves, the R wave being prevalent among them. Its parameters are predominant for describing the heart activity. Therefore, the next part of the thesis turns to the possibilities of its detection. The detection process is divided in two parts, the first of them being the pre-processing. Here, the signal is arranged in the right shape. This is followed by the detection, which describes the R wave occurrence. These operations use various filters and methods, as described in the following chapters. The output program, designed in the Labview programming environment, is based on the separation of the R wave from the ECG. This is subsequently compared to the threshold value. The values measured here are later used for the heart rate calculation and creating the geometrical description of the HRV
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Muscle noise filtering in ECG signals
Novotný, Jiří ; Kubičková, Alena (referee) ; Smital, Lukáš (advisor)
This master's thesis deals with the optimization of numerical coefficients of the Wiener filter for muscle noise filtering in ECG signals. The theoretical part deals with ECG signal characteristic and muscle interference. It also contains a summary of the wavelet transform, wavelet Wiener's filtration, methods for calculating of the threshold and thresholding. In the last theoretical part the characteristic optimization techniques, the exhausive search and Nelder-Mead simplex method are mentioned, which were implemented in the practical part of this thesis in MATLAB. The functional verification and Wiener's filter optimization were tested on the standard electrocardiograms database CSE. By using the methods of exhausive search, the initial estimate for the solution method Nelder-Mead was obtained. The optimization method Nelder-Mead gives better results in the orders of hundredths or tenths than the method of exhausive search. The practical part is finished by the comparison of results of implemented algorithm with optimum coefficients, implemented in this thesis, with the results of other methods for filtering muscle interference in ECG signals.
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Wavelet Filtering of ECG Signals
Handl, Marek ; Smital, Lukáš (referee) ; Kozumplík, Jiří (advisor)
The work deals with the wavelet transformation, focusing on wavelet transforms with discrete time (DTWT). The practical part is focused on the implementation of redundant packet DTWT and its use in the filtration of ECG signals. The main part of the work is to design wiener filter that uses redundant packet DTWT, designed to eliminate interference myopotentials of ECG signals. The actual solution is implemented in Matlab. Testing is performed on the library CSE using noise model myopotentials used to noising original signals. For optimum parameters designed filter is used the genetic algorithm (GA). The work is carried out comparing the proposed filter redundant packet DTWT a variant of redundant dyadic DTWT.
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