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QRS complex detector in ECG signals
Kosíř, Kamil ; Vítek, Martin (referee) ; Smital, Lukáš (advisor)
The aim of this thesis is to introduce issues and basic principles of QRS complex detection in ECG signals. This work is separated into several parts. The first part deals with anatomy and functions of the heart, for example the emergence and spread of potentials. The next part includes distribution ECG leads and explanation of ECG signal. Afterwards are described some detectors of QRS complex. The main part of this work is realization of two algorithms implemented in Matlab program. The first detector is based on squaring algorithm and the the second is based on a spreading of the signal into several frequency bands. The effectivness of both detectors is tested on signals from CSE library at the end of the work.
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Open-source systems for image processing
Slinták, Vlastimil ; Zukal, Martin (referee) ; Mikulka, Jan (advisor)
The aim of this document is to describe open-source libraries for image processing — ITK, VTK and OpenCV. Their architectures are described and it is shown how to compile and use them in real applications. It also provides basic description of algorithms for image processing. In the second part of this document, we try to use ITK library with data-mining environment RapidMiner.
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QRS Complex Detector
Balík, Zdeněk ; Vítek, Martin (referee) ; Smital, Lukáš (advisor)
The subject of the bachelor's thesis called QRS complex detektor is introduction with the basic princips of detection based on exponentiation and envelope of filtred signal. In the first part of this thesis is subscribed the emergence of electrical activity of the heart and the ways of its scanning. Further are in the thesis described characteristics and typical disruptions EKG signal and their filtration. The remaining part is devoted to specific methods of detection of the QRS complex. Practical realization is carried out in the programming environment MATLAB.
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Implementation of Algorithm for Recognition of Eye Retina
Ondroušek, Jan ; Stružka, Jaroslav (referee) ; Hájek, Josef (advisor)
Vessel structure is a very important element in medical sience for diagnosis of eye and cardiovascular diseases. Therefore, its automatic segmentation is very important too. In introduction there is a short description of eye retina. After that, method of implementation is presented according to Ing. Jan Odstrčilík's thesis - Analyze of colour retinal images aimed to segmentation of vessel structures created under the auspices of Brno University of Technology - Faculty of Electrical Engineering and Communication, Department of Biomedical Engineering in 2008. This method is based on filtering input image with properly designed filtering masks, followed by thresholding with properly calculated value and finally cleaning result image from artefacts. Algorithm was written in C++ language. All important functions were implemented for purpose of given method with consideration on speed and accuray. Main sections of source code with description of user interface are introduced next in this thesis. At the end, the implementation was tested on real images from ÚBMI and DRIVE databases, results were recorded, expansions and adjustments possibilities of implementation were debated.
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Packet Classification Algorithms
Foukal, Martin ; Kajan, Michal (referee) ; Puš, Viktor (advisor)
This work deals with the packet classification algorithms for traffic filtering in computer networks. It contains summary of different areas where packet classification is used. It describes various algorithms and their memory and speed characteristics. Then this work describes implementation of two chosen algorithms based on bit paralelism and bit vectors which were integrated into Netbench, framework for evaluation and experiments with packet processing algorithms. There are described memory requirements of both these algorithms which were tested for different sets of rules. These requirements are compared with other algorithms in Netbench.
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Application for Recognition of Human Eye Retina
Drozd, Radek ; Hájek, Josef (referee) ; Drahanský, Martin (advisor)
The blood vessels layout in a human eye retina is unique for every person in the world, so it is one of important biometric characteristics. Processing of colour retina image may be a part of an intended biometric system. There is an algorithm for automatic blood vessels detection, optic disc and macula localisation, finding of bifurcation points and saving those as a biometric template presented in this bachelor's thesis. C++ programming language and OpenCV library were used for implementation. The application was tested on a set of colour retina images, taken by fundus camera. The final application is supposed to run on a digital signal processor, developed by Texas Instruments. The thesis gives the introduction into biometrics, signal processing and human eye anatomy.
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Recognition of Poses and Gestures
Jiřík, Leoš ; Hradiš, Michal (referee) ; Zemčík, Pavel (advisor)
This thesis inquires the existing methods on the field of image recognition with regards to gesture recognition. Some methods have been chosen for deeper study and these are to be discussed later on. The second part goes in for the concenpt of an algorithm that would be able of robust gesture recognition based on data acquired within the AMI and M4 projects. A new ways to achieve precise information on participants position are suggested along with dynamic data processing approaches toward recognition. As an alternative, recognition using Gaussian Mixture Models and periodicity analysis are brought in. The gesture class in focus are speech supporting gestures. The last part demonstrates the results and discusses future work.
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Experiments with Images of Eye Retina
Floryček, Jan ; Orság, Filip (referee) ; Fiala, Jiří (advisor)
The layout of blood vessels in human eye retina is one of the important physiological biometric characteristics of every individual. The processing of color retinal images and extraction of the blood vessel structure is an important phase in diagnostics of many eye diseases as well as in gathering biometric data. An automatic method for image processing, extracting the blood vessel structure and saving a template for usage in a biometric system will be described in this bachelor thesis. The method was developed and tested on actual retinal images acquired by digital fundus camera and it was implemented in language C++ with the use of OpenCV library. This thesis also contains a brief introduction to biometrics, computer graphics and medicine.
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Methods and facilities for proper driving style training
Král, Jaroslav
Statistics on traffic accidents indicate that incorrect driving is rated as their main cause. Hazardous driving, primarily not respecting the safe distance behind a vehicle, belongs among most frequent causes of drivers´ accidents. Rear-end collisions are caused by a driver´s failure to estimate a proper distance while driving too close to the vehicle in front. The main reason for these accidents lies in disrespecting safe driving distances between vehicles under normal road-surface and also in adverse weather conditions. An opportunity rests in developing educational and training methodologies in driving schools. Training techniques should be improved to place a bigger emphasis on cognitive skills, including risk perception, hazard recognition, defensive driving and self-assessment. Practical training must approach real conditions, thus the schools should be equipped with simulators or specially adapted vehicles to simulate safe driving distances, sudden deceleration and other unexpected situations.
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Measurement of conifers needles surface by MR tomography
Hladík, Roman ; Kubásek, Radek (referee) ; Mikulka, Jan (advisor)
This bachelor thesis deals with the tomography based on magnetic resonance and evaluation of scanned images of conifers needles. At first, it is described the physical basis and methods of magnetic resonance scanning of objects. Another part is devoted to graphical preprocessing, which consist of noise suppression and image segmentation. After that there are described the design and algorithm for parameter estimation implemented to the application. The first experimental measurements were lightly discussed and evaluated in the last part of the work. In the last part there are discussed results of the experimental measurement. The attached documents contain the source code in Matlab language.
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