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Automatic detection of ischemia in ECG
Noremberczyk, Adam ; Potočňák, Tomáš (referee) ; Ronzhina, Marina (advisor)
This thesis discusses the utilization of the artificial neural networks (ANN) for detection of coronary artery disease (CAD) in frequency area. The first part of this thesis is orientated towards the theoretical knowledge. Describes the issue of ECG pathological changes. ECQ are converted to frequency area. Described statistical methods and methods for automatic detection of CAD and MI. Explained the issue of the perceptron and ANN. The second deals with use of Neural Network Toolbox MATLAB®. This part focuses on counting and finding suitable parameters and making connection of band. At the end of the thesis UNS is used to detect ischemic parameters and the results are discussed. Average values for the best settings are 100% accuracy.
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FFT implementation in FPGA and ASIC
Dvořák, Vojtěch ; Bohrn, Marek (referee) ; Fujcik, Lukáš (advisor)
The aim of this thesis is to design the implementation of fast Fourier transform algorithm, which can be used in FPGA or ASIC circuits. Implementation will be done in Matlab and then this form of implementation will be used as a reference model for implementation of fast Fourier transform algorithm in VHDL. To verify the correctness ofdesign verification enviroment will be created and verification process wil be done. Program that will generate source code for various parameters of the module performing a fast Fourier transform will be created in the last part of this thesis.
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Influence of physical load to electrical activity of muscles
Kadeřábek, Jan ; Sekora, Jiří (referee) ; Kolářová, Jana (advisor)
This bachelor’s thesis describes influence of physical load on electrical activity of muscles. In each of bachelor’s thesis chapters are analyzed questions of measurement EMG signals and their elaboration, include statistic attestation of influence physical load on electrical activity of muscles. EMG signals were received from group of 10 students and in program acqKnowledge, were taken off parameters for statistic elaboration. In created program were due to time and frequency analysis calculated parameters of EMG records, which can also describe influence of physical load. Accomplishments of this project are the tables with measured data, their graphs, statistics attestation of influence physical load on electrical activity of muscles and program, which can do time and frequency analysis of measured records. On significance level 10% was verified hypothesis, that physical load influence electrical activity of muscles.
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The Analysis of mutes on trombone and trumpet timbre
Košař, Vojtěch ; Mojdl, Edgar (referee) ; Jirásek, Ondřej (advisor)
This work deals with the sound mute issues, specifically how they affect the timbre of a trombone and a trumpet, their sound spectrum, levels of individual harmonic tones, the presence of formants and the directional characteristics of individual tones played in various dynamics. A part of this work is also focused on the theoretical description of a trombone and a trumpet, including their brief history, their classification, the parts they are consisting of and the timbre. The theoretical part is further dealing with the description of mathematic functions like FFT or LPC analysis, which have been implemented in the MATLAB environment when creating the graphic dependents for this theme.
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Signal analysis options on Arduino platform
Havlíček, Michal ; Zuth, Daniel (referee) ; Huzlík, Rostislav (advisor)
The aim of this bachelors thesis is to analyse signal with Arduino platform by creation of program which is able to perform calculations of signal´s mean value, efficiency value, Fourier transform and subsequent export of these results into computes. Furthermore it examines testing of this program and evaluation of possible limitations with usage of Arduino platform.
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Evaluation of pressure conditions in the quenching chamber of low-voltage device
Nevrzal, Filip ; Vávra, Daniel (referee) ; Valenta, Jiří (advisor)
In this master’s thesis there is firstly conducted research about pressure measurement. Next there is mathematical description of thermodynamic conditions in used testing chamber by using magnetohydrodynamic and Maxwell equations. Next chapter deals with testing chamber itself, more precisely with function, model and changes done to it. In practical part there are data measured by used sensors, which are also closer described in this chapter. In next chapter there is comparison of reaction times of used sensors and their frequency specters, obtaining using fast Fourier transformation. Second to last chapter introduces very measurement on the real device and in the last chapter these data are analyzed and more closely described.
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Tone and Chord Recognition as an Android Application
Kucharovič, Oliver ; Černocký, Jan (referee) ; Szőke, Igor (advisor)
The aim of this work is to recognize tones and chords on any musical instrument using the microphone on Android mobile devices. The app scans or records the sounds which are analyzed. It writes to a visual representation which is similar to the musical notation. The work describes the problems of recognition and the solution of the problem using fast Fourier transformation and analysis of the spectrum of volumes. Work describes the theory of music and the training of individual tones. The application was subjected to user tests and recognition accuracy tests. The conclusion includes tests results and statistics from the Google Play publication.
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Acceleration of Ultrasound Simulations on Multi-GPU Systems
Stodůlka, Martin ; Vaverka, Filip (referee) ; Jaroš, Jiří (advisor)
The main focus of this project is usage of multi - GPU systems and usage of CUDA unified memory . Its goal is to accelerate computation of 2D and 3D FFT, which is the main part of simulations in k- Wave library .K- Wave is a C++/ Matlab library used for simulations of propagation of ultrasonic waves in 1D , 2D or 3D space . Acceleration of these functions is necessary , because the simulations are computationally intensive .
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Parallel signal processing with help of GPU
Václavík, Jiří ; Frýza, Tomáš (referee) ; Mego, Roman (advisor)
In the introduction, the bachelor thesis outlines the origins of modern graphic processors. The theoretical part of the text describes the minimum of required information from parallel programming model essential to program simple DSP algorithms. The next part elaborate on three common DSP algorithms, finite impulse response filter, naive implementation of discrete cosine transform type II, and fast Fourier transform. To demonstrate parallel capability of GPU, algorithm for JPEG compression was chosen as JPEG compression is favorable because it illustrates both advantages and disadvantages of parallel data processing on GPU, and compromises needed to be considered.
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