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ECG arrhythmia detection
Šoltés, Tomáš ; Filipenská, Marina (referee) ; Novotná, Petra (advisor)
This bachelor thesis describes commonly present arrhytmias such as premature ventricular complex, bundle branch blocks and their detection using conventional methods and modern methods, utilising neural networks. Practical part includes: Detection of premature ventricular complexes and detection of bundle branch blocks using statistical analysis of QRS complex and their classification with K-nearest neighbors
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ECG arrhythmia detection
Šoltés, Tomáš ; Filipenská, Marina (referee) ; Novotná, Petra (advisor)
This bachelor thesis describes commonly present arrhytmias such as premature ventricular complex, bundle branch blocks and their detection using conventional methods and modern methods, utilising neural networks. Practical part includes: Detection of premature ventricular complexes by their RR intervals and detection of bundle branch blocks using statistical analysis of QRS complex and their clustering with K-nearest neighbors
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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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Clustering of ECG cycles
Němečková, Karolína ; Kozumplík, Jiří (referee) ; Ronzhina, Marina (advisor)
This bachelor thesis deals with application of cluster analysis to different ECG records in order to identify particular cardiac pathologies. The work is mainly focused on the detection of premature atrial and premature ventricular beats. Presented approach is based on the signal correlation and further beat type identification and beats clustering via specific ECG features. By evaluation the method on test data, we obtained TPR 73.40 %, FPR 91.00 %, PPV 29.00 %, ACC 90.00 %, F1 41.40 % for PAC detection and TPR 76.50 %, FPR 94.20 %, PPV 45.90 %, ACC 93.10 %, F1 57.40 % for PVC detection. Pure F1 and PPV is due to high number of false positive detections mainly in noisy ECG or ECG with manifested atrial fibrillation.
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ECG quality evaluation
Scholasterová, Viktorie ; Němcová, Andrea (referee) ; Smital, Lukáš (advisor)
This bachelor’s thesis deals with ECG quality evaluation. Its main goal is to examine the theoretical basis for a realization of selected methods for ECG quality evaluation. In the theoretical part of the thesis there is described electrocardiography, morphology of electrocardiogram, types of signal interference and Holter recorders. A basic procedure of ECG quality evaluation including filtration, detection of important characteristics of ECG signal and an overview of chosen methods follows. The practical part contains a description of three methods for ECG quality evaluation – a method of average heart rate, a method of calculation signal-to-noise ratio (SNR) and a method of band-pass filters. Finally, the results of the methods using artificial data, real-time data and data from a competition PhysioNet/Computing in Cardiology Challenge 2011 are evaluated.
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Detection of atrial fibrilation in long-term ECG
Polcer, Simon ; Kozumplík, Jiří (referee) ; Maršánová, Lucie (advisor)
The bachelor’s thesis deals with the automatic detection of atrial fibrillations in the long-term ECG signals. First, it provides a description of the electrophysiology of the heart, the atrial fibrillation and the automatic methods of their detection. The first method, implemented in this work, is based upon the parameters that were calculated from the irregularities of the RR intervals. The second method uses the stationary wavelet transform and other parameters are computed after the signal transformation. The calculated parameters are subsequently statistically evaluated in the STATISTICA software. Parameters are assessed by the non-parametric Mann-Whitney test, which selects parameters that exhibit statistically significant differences between signals containing atrial fibrillation and sinus rhythm. At the end, the classification is performed by two approaches such as Support vector machine and k-Nearest Neighbours.
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Short time Fourier transform for heart rate variability analysis
Osičková, Kristýna ; Slávik, Vladimír (referee) ; Janoušek, Oto (advisor)
The thesis describes the heart rate variability (HRV), its physiological and clinical significance and the means of its analysis. It includes a thorough dissection of the methods applied in the process of HRV evaluation in a time domain and using the short-time Fourier transform. The thesis compare both of the methodologies regarding changes of HRV caused by global ischaemia. The practical part descibes the application created in Matlab for analysis in the time domain and using short-time Fourier transform. The resulsts were calculated from the positions R wave EG signal isolated rabbit hearts.
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Cluster Analysis of ECG Signals
Dvořáček, Tomáš ; Chrobák, Martin (referee) ; Kozumplík, Jiří (advisor)
This bachelor thesis is engaged in problematics of automatic cluster analysis for ECG sinals. This bachelor thesis contains theory of pathology in cardiac rhythm and problematics of cluster analysis. Based on a gained knowledge, set of symptoms is made, which are used for cluster analysis using MATLAB interface and which results are evaluated.
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Accuracy of methods for detection of atrial fibrillation in ECG signals
Veleba, Josef ; Janoušek, Oto (referee) ; Provazník, Ivo (advisor)
This thesis focuses on the issue of atrial fibrillation and the success of their detection in the ECG signal. It provides a description of electrical activity of the heart with the theoretical analysis of atrial fibrillation and methods for their detection. Additionally the work describes procedures for the implementation of three selected methods for the detection of atrial fibrillation in the MATLAB environment, presents the results of their tests on two atrial fibrillation signal databases and assesses the accuracy of each method.
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Reccurence plot for heart rate variability analysis
Franěk, Pavel ; Čmiel, Vratislav (referee) ; Janoušek, Oto (advisor)
The aim of this thesis is to describe the variability of cardiac rhythm and familiarity with the methods of the analysis, ie by monitoring changes in heart rhythm electrogram signal recording and using the methods in the time domain using recurrent diagram. The work describes the quantification of the methods and possibilities of quantifiers in the evaluation of heart rate variability analysis. It also describes the clinical significance of heart rate variability and diagnostic capabilities changes of heart rate variability caused by ischemic heart disease. The practical part describes how to create applications in Matlab to calculate the quantifiers analysis of heart rate variability in the time domain using recurrent diagram. The calculation was made of the positions R wave elektrogram signal isolated rabbit hearts. The calculated values of quantifiers both methods were statistically evaluated and discussed.
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