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Methods for detection of QRS complex
Lysák, Karel ; Chrobák, Martin (referee) ; Smital, Lukáš (advisor)
This bachelor’s thesis deals with methods for detection of QRS complex in the ECG signal. There are described selected detection approaches, basic information about ECG and electrical activity of cardiac muscle. There is also described detailed procedure for the implementation of the three methods of detection in MATLAB and an assessment is made of the detectors tested on the CSE database. There are described some methods of cluster analysis and their possibilities of usage. There is also a description of detectors created by using cluster analysis and their efficiency is tested on the CSE database. Finally, there is a comparison of detection rates of all created detectors.
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Digital image analysis of mitotic chromosomes
Hávová, Mariana ; Babula, Petr (referee) ; Škutková, Helena (advisor)
Changes in chromosome number and structure may cause serious diseases. Cytogenetic tests leadin to set of karyotype are done for detecting these abnormalities. Chromosomes are visualised with proper methods and karyotype is made up most often. Manual karyotyping is time-consuming and expensive task. Because of this, researchers have been developing automated karyotyping systems. Karyotyping systems classify chromosomes into classes based on their characteristic features. Overlapping and bent chromosomes are limitations for automatic classification since they ocur at almost every mitosis. Accuracy and reliability of karyotyping systems still depend on the human intervention. Overcoming of these problems and development of fully automated system is the aim of modern approaches.
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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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Gender recognition from the text data
Mačát, Jakub ; Burda, Karel (referee) ; Červenec, Radek (advisor)
This bacheor`s work is focused on gender identification from a text just from an e-mail`s form and also contemporary techniques of data mining and text mining. The technique`s advantages and disadvantages and options of use. There was realized a program for recognizing gender in Java. In a program Rapid Miner is demostrated processing various learning methods. By both programs thete are described their basic attributes, used methods and operators used in the implementation. The programs were tested ona real data. Then there are mentioned methods for program`s extends. eventually there are given examples as the programs process stated assignment.
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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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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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