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Removing baseline wander in ECG with empirical mode decomposition
Procházka, Petr ; Kolářová, Jana (referee) ; Kubičková, Alena (advisor)
In this semestral thesis, realizations of chosen linear filters for baseline wander are described. These filters are then used on artificial ECG signals from CSE database with added baseline wander. These methods are compared and results are evaluated. After that, literature search of Empirical mode decomposition method is utilized. Realization of designed filters in MATLAB programming language are described, then results are evaluated with respect to filtration success.
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Analyzer of cardiac waveform
Zmeškal, Ladislav ; Říha, Kamil (referee) ; Číž, Radim (advisor)
The thesis describes design, algorithmization and realization of graphical application for recording EKG and PPG signal using LabJack UE9 tool in Matlab program, it also describes subsequent deposition of recorded signals and their processing, such as optional selection, cropping and filtering. Furthermore there are described types of filters, methods for detecting basic parameters of EKG and PPG signals and methods for detecting R waves and Systolic peaks. Based on detection of those parameters, algorithms for computing average heart rate and finding arrhythmias were designed and tested. Last part of the thesis includes an evaulation which compares values detected by designed algorithms with values from public database which includes reference annotation.
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QRS detection based on wavelet transform
Zedníček, Vlastimil ; Ronzhina, Marina (referee) ; Smital, Lukáš (advisor)
This thesis deals with implementation of detector QRS complex with use of wavelet transform. The first part is focused on formation and possibility to measure cardiac activity. The other part of thesis we will familiarise with the different possibilities of detection QRS complex and we intimately focus on wavelet transform that will be used for a project of detection QRS complex. The practical part of thesis focuses on the project of detector in programming language Matlab and his different setting. This projected detector has been tested with CSE database. Achieved results of projected detector are evaluated with the results of others authors.
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Design of the On Demand Pacemaker controlled by Microcontroller
Jarošová, Veronika ; Chmelař, Milan (referee) ; Sekora, Jiří (advisor)
The aim of this diploma work is the suggestion and realization of a cardiostimulator of „On Demand“ type operated by microcontroller. The work is structured on four thematic parts. For the correct suggestion of the whole system, firstly is necessary to understand correctly the cell’s electrophysiology and heart’s anatomy, inclusive the cardiology arrhytmia, which are adherent to cardiostimulators. The cardiostimulator is inhibited by the R-wave and is adaptive on a pulse rate of a source signal. The whole system is supplied by batteries and this supplying is taken into consideration. The network’s functionality is realized on the ECG simulator. There are suggested the suitable enhancements in discussion.
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Delineation of ECG signals using methods combining
Zahradník, Radek ; Smital, Lukáš (referee) ; Vítek, Martin (advisor)
The aim of this work is to study and describe the principles and method of delineation of ECG signals. Learn and describe about method of cluster analysis. In this work was created and described three different methods of delineations of ECG signals. Created algorithms were tested on complete CSE database. With cluster analysis were combine created methods. The obtained results from realized methods and combined method were compared with others known methods. At the end of this work is evaluate efficiency of detection of combined method.
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Dynamic time warping in biological signal processing
Brus, Lukáš ; Švrček, Martin (referee) ; Kolářová, Jana (advisor)
The Method of dynamic time warping is one of the modern scientific methods. It can be used for optimalization of analysis and classification of diagrams with biological signals. One part of the bachelor's thesis is to witness the generation of a biological process while studying the electrocardiogram and ECG classifications. The final part of the thesis is the discussion of the dynamic time warping and using these methods on a real data base of ECG signals from an experiment on an animal heart. This thesis mentions the function of DTW and also discusses a self-designed program for ECG diagnosing. This program, entitled ECG diagnose, is used for characterizing changes of the ECG signals during experiments performed on animal hearts.
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Use of higher-order cumulants for heart beat classification
Dvořáček, Jiří ; Kolářová, Jana (referee) ; Ronzhina, Marina (advisor)
This master‘s thesis deals with the use of higher order cumulants for classification of cardiac cycles. Second-, third-, and fourth-order cumulants were calculated from ECG recorded in isolated rabbit hearts during experiments with repeated ischemia. Cumulants properties useful for the subsequent classification were verified on ECG segments from control and ischemic group. The results were statistically analyzed. Cumulants are then used as feature vectors for classification of ECG segments by means of artificial neural network.
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ECG classification using methods of HRV analysis
Caha, Martin ; Vítek, Martin (referee) ; Ronzhina, Marina (advisor)
This paper deals with the classification of ECG measured from isolated rabbit hearts during the experiment with repeated ischemia. Classification features were calculated using the methods of heart rate variability analysis. The results were statistically evaluated. Heart rate variability parameters were calculated using Kubios HRV, other calculations were performed in MATLAB. Artificial neural network was created to classify the analyzed parameters to specific groups.
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Delineation of ECG signals using leads transformation
Ondroušek, Lukáš ; Ronzhina, Marina (referee) ; Vítek, Martin (advisor)
The goal of this work is to study the principles of delineation of ECG signals, wavelet transformation and transformation approaches to increase the number of available leads. Consequently, the knowledge was used to create delineation algorithm in Matlab. The algorithm was tested on complete CSE database. The obtained results were compared with the criteria which are set for the CSE database. In this work were realized six transformation approaches to increase the number of available leads. All of them were analyzed by delineation algorithm. In the work was examined, whether the transformation increase the efficiency of detection.
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Classification of heart beats from multilead ECG using principal component analysis
Vlček, Milan ; Vítek, Martin (referee) ; Ronzhina, Marina (advisor)
The resume of this master´s thesis is to introduce reader into principal component analysis (PCA), namely, the use of PCA for analysis of ECG. This method allows to reduce quantity of the data without loss of useful information. That is why PCA is widespread for preprocessing of the data for further classification, which this thesis also deals. Data available at the Department of Biomedical Engineering at the University of Technology in Brno were used in this work. All the methods were realized using Matlab.
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