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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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Clustering of Protein Sequences Based on Primary Structure of Proteins
Jurásek, Petr ; Stryka, Lukáš (referee) ; Burgetová, Ivana (advisor)
This master's thesis consider clustering of protein sequences based on primary structure of proteins. Studies the protein sequences from they primary structure. Describes methods for similarities in the amino acid sequences of proteins, cluster analysis and clustering algorithms. This thesis presents concept of distance function based on similarity of protein sequences and implements clustering algorithms ANGES, k-means, k-medoids in Python programming language.
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Detection of biological structures in TEM microscope images
Cikánek, Martin ; Chmelík, Jiří (referee) ; Potočňák, Tomáš (advisor)
The aim of the first part of this thesis is to explain the theoretical basis of transmission electron microscopy and to mention fundamental parts of transmission electron microscopes. The next part of this work is focused on possible methods of image segmentation, the use of neural networks in the detection of objects in an image and the subsequent clustering of results. The theoretical part of the thesis is concluded with an explanation of some already published methods of automatic detection of biological structures in microscopic images and theoretical design of the algorithm, which will be subsequently developed. The process of training neural networks in order to automatically detect biological structures in an image is described at the beginning of the practical part. This is followed by an evaluation of the results achieved by these networks. Subsequently, cluster analysis methods are applied to these results, the products of which are compared with each other and also with the results obtained by already published methods.
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Delineation of ECG signals using leads transformation
Ruttner, Michal ; Ronzhina, Marina (referee) ; Vítek, Martin (advisor)
This work deals with delineation of ECG signals. First we will become familiar with ECG and commonly used processing methods. Various transformation methods of ECG leads. Further we will describe methods of delineation ECG signals. Second part is dedicated to metod used in this work for delineation of ECG signals from CSE database. Particulary method using Dyadic Wavelet Transform. Work include, description of used program and results. Third part is dedicated to methods of ECG leads transformations and cluster analysis. In conclusion we will evaluate the results.
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Clustering of ECG cycles
Ředina, Richard ; Smíšek, Radovan (referee) ; Ronzhina, Marina (advisor)
The bachelor thesis explores the aplication of cluster analysis on diferent ECGs in order to create a reliable algorithm for detecting different QRS complexes. Algorithm comprises filtration, R-wave positions adjustment, model cycle creation and comparasion based on mean square error and correlation. Both, correlation and mean square error, become data for k-means clustering. The number of clusters is derived from silhouette values for diferent numbers of clusters.
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Success Rate Measure Methods in Data Mining
Trunkát, Jan ; Zelený, Jan (referee) ; Bartík, Vladimír (advisor)
The Bachelor thesis is aimed at success rate measure methods in data mining in the area of clustering. It introduces the basic concepts, features of data mining and especially the cluster analysis. This work includes program, which implements methods of measuring success. In conclusion, they are given results of clustering success.
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Segmentation on tomographic data of multiphase materials
Troják, Jan ; Šalplachta, Jakub (referee) ; Břínek, Adam (advisor)
This work deals with segmentation of multiphase materials from X-ray computed tomography measurement. The segmentation was performed on meteorite images. There are various intermetallic phases in the structure of the meteorite and they are difficult to separate. The main objective is to test different image processing techniques (Otsu's thresholding, cluster analysis, region growing). The techniques were chosen with the focus on their benefits for multiphase material segmentation. Image denoising and sharpening is used before segmentation. Subsequently, selected segmentation methods are applied to real data. The individual results are evaluated. Finally, the comparison of selected methods is presented.
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Use of Knowledge Discovery for Data from PDF Files
Dvořáček, Libor ; Burgetová, Ivana (referee) ; Bartík, Vladimír (advisor)
This bachelor thesis deals with the extraction of tables from digitally created pdfs and the subsequent use of the obtained data for data analysis. Methods of dimension reduction and cluster analysis are used. The main content is an analysis of available tools for data extraction in the python language, a description and comparison of the used machine learning methods and implementation of an application that combines all these topics into one functional unit at: http://extraktor.herokuapp.com
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Analysis of AVG signals
Janeček, David ; Balogh, Jaroslav (referee) ; Rozman, Jiří (advisor)
This semestral project deals with analytical arteriovelocitogram (AVG). In the first part I a question of collection data AVG curve. Doppler effect and principal of Doppler‘s systems whose assistance data gain is analyzed in this semestral project. In the next part I focus on methods of analytic signals AVG. This means discribing the curve, calculating coefficients or methods for correct evaluation of the signal. These analyzes should categorize the measured data into groups according to pathological changes, of which doctors will determine the next course of treatment. The final chapter deals with the method of cluster analysis to classify data measured by Doppler systems. I deal with the algorithm method and choose the best clustering procedure. In the following section I concern with the practical part. I describe the data which were provided, the program selected for the analysis and the description of the alghoritm. The last chapter describes the results I’ve obtained.
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