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Numerical method for computing electromagnetic field
Bíreš, Pavol ; Čížek, Martin (referee) ; Rozman, Jiří (advisor)
The aim of the work is to study the electromagnetic field theory, finite element method and the interaction of electromagnetic field with tissues. Gained knowledge is then used to calculate spreading of the electromagnetic field in the microwave field and to create a temperature profile of spreading the electromagnetic fields in human tissue. The finite element method was implemented in the Matlab programming environment, where the 1D model was created in the frequency and time domain and a simple 2D model created in time domain. The program was developed to analyze spreading electromagnetic wave. Another part of work was done in the programming environment of COMSOL Multiphysics. In this case was the human leg exposed to electromagnetic fields. The analysis determined the changes of temperature in these biological tissues for six minutes.
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Magnetotherapeutic device for Child Neurology
Walek, Petr ; Rozman, Jiří (referee) ; Sekora, Jiří (advisor)
Project Magnetotherapeutic device for Child Neurology in his forepart paies medical use of Pulsatile Magnetic Field. Summaries a therapeutic effects of field which is interacting with biotic issue and determines which of those effects are acceptable for treatment of Infantile Paralysis. Below it describes single Bio-Parametres of Pulsatile Magnetic Field and analyses reasons and effects of Infantile Paralysis. In second part is described a block diagram of magnetotherapeutic device for treatment of Infantile Paralysis. Described is principle of function of blocks. In third part is defined circuit solving of controlling, supervisory and generating part of magnetotherapeutic device. Function and wiring of components is described in detail. There is also created a Printed Circuit Board. Device is controlled by three microcontrollers, therefore there are described flowcharts and controlling programs for microcontrollers.
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Power measurement in ultrasound fields
Škůrek, Pavel ; Čížek, Martin (referee) ; Rozman, Jiří (advisor)
This work is focused on the developement of a sensor, which enables to measure the ultrasonic power by heat effect of the mechanical Wales. The princip of two basic kinds of thermoacoustic sensor is descibed here – one level and two level sensor. This work also contains a proposition of these sensors with description of each parts and a trial to find suitable absorber. Achieved results, which support the function of the sensors are presented here by form of graphs and tables. Measuring by thermoacoustic sensors is confronted here with measuring of ultrasonic by hydrophone, which is used as reference measuring.
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Mapping of electromagnetic fields in GIS
Kačmařík, Ivo ; Čížek, Martin (referee) ; Rozman, Jiří (advisor)
The aim of this Master’s Thesis was mapping of electromagnetic fields and processing of measured data using ArcView 9.2 and its extensions. Software ArcView 9.2 with extensions was provided by university to create this Master’s Thesis. Maps of electromagnetic fields are created from measured data in the neighborhood of the faculty building. Measurement of geographic position of measuring points is realized by GPS. For creation of maps and further analysis in ArcView, ArcGIS extensions - Spatial Analyst, Geostatistical Analyst and 3D Analyst were used.
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Visualization of vocal cords movement
Kutálek, Libor ; Sekora, Jiří (referee) ; Rozman, Jiří (advisor)
The aim of this work is to clarify the function of the vocal cords and get familiarized with their investigative methods. In this work we find possible solutions to the peripheral device to illuminate the rapidly vibrating vocal cords using an LED that is less energy exacting than conventional halogen lamps. Then there are solved the problems of processing, signal filtering and finding the natural frequency of vibration of the vocal cords.
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Noise map in GIS
Keršner, Oldřich ; Čížek, Martin (referee) ; Rozman, Jiří (advisor)
The aim of this Master’s Thesis is noise map creation and processing of measured data using ArcView 9.2 and its extensions. One - year Student Edition of ArcView 9.2 and its extensions have been provided by ARCDATA PRAHA, s.r.o. Noise maps are created from measured data in the neighborhood of the faculty building and the Moravian Square in Brno. Measurement of geographic position of measuring points is realized by GPS. For creation of noise maps, analysis and processing of measured data ArcGIS extensions - Spatial Analyst and Geostatistical Analyst were used. The last part of this Master’s Thesis is specialized on creation of 3D landscape model using ArcGIS 3D Analyst extension.
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Analysis of sleep EEG signal
Ježek, Martin ; Kozumplík, Jiří (referee) ; Rozman, Jiří (advisor)
Cílem této práce byl vývoj programu pro automatickou detekci arousalu v signálu spánkového EEG s použitím metod časově-frekvenční analýzy. Předmětem studie bylo 13 celonočních polysomnografických nahrávek (čtyři svody EEG, EMG, EKG a EOG), tj. celkově více než 100 hodin záznamu. Jednalo se o část dat z dřívějších výzkumných prací expertní lékařky v problematice spánku Dr. Emilie Sforzy, Ženeva, Švýcarsko, která rovněž poskytla základní hodnocení těchto dat. V záznamech bylo celkem označeno 1551 arousal událostí. Pro usnadnění výběru konkrétní metody časově-frekvenční analýzy byla následně vytvořena sada nástrojů pro vizualizaci jednotlivých signálů a jejich různých časově-frekvenčních vyjádření. S ohledem na závěry vizuální analýzy, charakter signálu EEG a efektivitu výpočetních metod byla pro analýzu vybrána waveletová transformace s mateřskou vlnkou Daubechies řádu 6. Jednotlivé svody EEG byly dekomponovány do šesti frekvenčních pásem. Z takto odvozených signálů a signálu EMG byly následně stanoveny ukazatele možné přítomnosti události arousalu. Tyto ukazatele byly dále váhovány lineárním klasifikátorem, jehož hodnoty vah byly optimalizovány pomocí genetického algoritmu. Na základě hodnoty lineárního klasifikátoru bylo rozhodnuto o přítomnosti události arousalu v daném svodě EEG – arousal byl detekován, jestliže hodnota klasifikátoru překročila danou mez na dobu více než 3 a méně než 30 vteřin. V celém záznamu pak byl arousal označen, byl-li detekován alespoň v jednom ze svodů EEG. Následně byly odvozeny míry senzitivity a selektivity detekce, jež byly rovněž základem pro stanovení fitness funkce genetického algoritmu. Pro učení genetického algoritmu byly vybrány první čtyři záznamy. Na základě takto optimalizovaných vah vznikl program pro automatickou detekci, který na celém souboru 13 záznamů dosáhl ve srovnání s expertním hodnocením míry senzitivity 76,09%, selektivity 53,26% a specificity 97,66%.
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Analysis of AVG signals
Musil, Václav ; Sekora, Jiří (referee) ; Rozman, Jiří (advisor)
The presented thesis discusses the basic analysis methods of arteriovelocitograms. The core of this work rests in classification of signals and contribution to possibilities of noninvasive diagnostic methods for evaluation patients with peripheral ischemic occlusive arterial disease. The classification employs multivariate statistical methods and principles of neural networks. The data processing works with an angiographic verified set of arteriovelocitogram dates. The digital subtraction angiography classified them into 3 separable classes in dependence on degree of vascular stenosis. Classification AVG signals are represented in the program by the 6 parameters that are measured on 3 different places on each patient’s leg. Evaluation of disease appeared to be a comprehensive approach at signals acquired from whole patient’s leg. The sensitivity of clustering method compared with angiography is between 82.75 % and 90.90 %, specificity between 80.66 % and 88.88 %. Using neural networks sensitivity is in range of 79.06 % and 96.87 %, specificity is in range of 73.07 % and 91.30 %.
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