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Automatic delineation of ECG signals
Jurek, Jakub ; Janoušek, Oto (referee) ; Vítek, Martin (advisor)
This project deals with basic description of ECG signal and some of known methods of delineation ECG´s individual parts. Next this work deals with detailed description of the method of authors Laguna, Jané, Caminal and realization of the complete delineation algorithm based on this method. Next this work deals with testing this algorithm on the CSE database, evaluation results and comparing results with results of authors of the method.
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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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QRS detection using zero crossing counts
Kašák, Pavel ; Hrubeš, Jan (referee) ; Vítek, Martin (advisor)
This thesis is focusing on problems of detection of QRS complex. It includes basic description of ECG signal. It acquaints with common methods of searching QRS complex. Main attention is paid to detection based on zero crossing counts, which is realized by MATLAB program. This algorithm is then tested on CSE database, optimised and its efficiency is evaluated.
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Detection of QRS complexes in ECG signals
Zhorný, Lukáš ; Ronzhina, Marina (referee) ; Kozumplík, Jiří (advisor)
This thesis deals with the detection of QRS complexes from electrocardiograms using time-frequency analysis. Detection procedures are based on wavelet and Stockwell transform. The theoretical part describes the basics of electrocardiography, then introduces common approaches to time-frequency analysis, such as short-time Fourier transform (STFT), wavelet transform and Stockwell transform. These algorithms were tested on a set of electrograms from the MIT-BIH and CSE-MO1 arrhythmia database. For the CSE database worked best the method based on the wavelet transform with the filter bank Symlet4, with the resulting value of sensitivity 100 % and positive predictivity 99.86%. For the MIT database had the best performance the detector using the Stockwell transform with values of sensitivity 99.54% and positive predictivity 99.68%. The results were compared with the values of other authors mentioned in the text.
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Detection of QRS complex using methods combining
Votoupal, Pavel ; Kozumplík, Jiří (referee) ; Vítek, Martin (advisor)
This bachelor‘s thesis deals with QRS complex detection. There are described the basic information about ECG, QRS detection approaches, the methods of cluster analysis and description of detectors implemented in the MATLAB. These QRS detectors were tested and optimized on the CSE database. Finally, cluster analysis was performed for the combination of methods and the results were compared with the results of individual methods.
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HRV analysis in the context of daily activities
Indrák, Václav ; Smital, Lukáš (referee) ; Novotná, Petra (advisor)
The aim of this bachelors thesis is to measure ECG recordings on voulenteers, and following analysis of HRV from these recordings. It persues the explanation of basic metrics used to evaluate HRV, used both in clinical and scientific practice and their following programming implementation in Matlab environment to achieve the most accurate results possible, which are than assessed.
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Modern methods of QRS detection
Fajkus, Jiří ; Kozumplík, Jiří (referee) ; Vítek, Martin (advisor)
This bachelor’s thesis deals with methods, which are used for processing of ECG signals, specifically for the detection of QRS complexes. The QRS detection is an essential part of every ECG analysis because it is a source of points with timing information, which are used for classification and measurement of other waves and intervals required for diagnostics. Some ways of QRS detection are described in this work and there is also a description of detector implemented in programming environment MATLAB, which is based on zero crossing counts. This QRS detector was then tested CSE database and signals from Holter examination.
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Detection of QRS complex using leads transformation
Grossmann, David ; Kozumplík, Jiří (referee) ; Vítek, Martin (advisor)
The aim of this bachelor thesis is to become familiar with methods of detection of the QRS complex and the one chosen detection method realize by the Matlab. The detection of QRS is tested on a CSE database and the results are compared with other methods. The last part of this thesis is concerned with transformation leads methods between different lead systems.
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QRS complex detection in electrograms
Mahdalová, Kateřina ; Chrobák, Martin (referee) ; Kozumplík, Jiří (advisor)
This work deals with QRS complex detection in isolated rabbit´s heart. In first part of the work is a description of human electrogram and summary of selected methods of QRS detection. In the practical part detectors which were implemented in Matlab are presented. It is followed by a statistical analysis of the acquired results and their respective interpretation.
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Detection of QRS complex in experimental ECG data
Bucsuházy, Kateřina ; Ronzhina, Marina (referee) ; Vítek, Martin (advisor)
This Bachelor work deals with QRS complex detection. The theoretical part of the presented work is focused on summary of selected methods of QRS complex detection. There is described in detail wavelet transform, which is used for realization of QRS complex detector in Matlab. Specifically is used redundant dyadic discrete wavelet transform and biorthogonal wavelet with odd symmetry bior1.5. The algorithm was evaluated on the standard CSE database. The detector was modified to be able to detect QRS complexes in experimental data.
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