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Measurement and analysis of cardiovascular parameters
Filipová, Petra ; Smital, Lukáš (referee) ; Kratochvíla, Jiří (advisor)
This bachelor´s thesis illustrates the basic diagnostic procedures for ECG analysis in clinical practice. It contains the verification of statistical hypotheses, automatic detection of the RR intervals using three different QRS detectors and heart rate from the ECG und other analyses in time and frequency domain. The validation of detection efficiency is investigated. Heart rate variability analyses are shown in time and frequency domain too. Analyses are done in Matlab, the graphical interface in Maltab GUIDE was done too and includes all of the created functions in time and frequency domain. For the purpose of evaluation methods the real data were measured according to the created acquisition protocol.
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Statistical evaluation of large-scale data of waste colection problem
Šmídová, Zlata ; Karpíšek, Zdeněk (referee) ; Šomplák, Radovan (advisor)
The bachelor thesis deals with statistical evaluation of large-scale data of waste collection problem and with evaluation these data for the purpose of subsequent traffic optimization. Statistical tests were performed in Microsoft Excel and STATISTICA. After compiling the mathematical model, the processed data were uploaded to the SQLite database and to the General Algebraic Modeling System, which calculated the time spent on each section of the route. The results are important for dealing with traffic and logistics issues that many companies and companies are engaged in. This approach represents a new technique for creating boundary conditions in traffic tasks. The output is high quality input data for optimization in logistics.
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Data Analysis of Heatmap of Brno
Kozubek, Jakub ; Hurta, Martin (referee) ; Mrázek, Vojtěch (advisor)
The thesis deals with the analysis of temperature data for the area of the city of Brno. It is focused on the design and verification of hypotheses for warming and cooling parts of the city. The result of the work are methods for statistical testing and for regression analysis implemented in the Python programming language, the results obtained using these methods and their subsequent interpretation in relation to the originally proposed hypotheses.
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Impact evaluation of foreign direct investment on the financial situation of an internationally operating enterprise and suggestions for its improvement
Šulc, Michal ; Hornungová, Jana (referee) ; Procházková, Kateřina (advisor)
This thesis is focused on the evaluation of the impact of foreign direct investment on the financial situation of the internationally operating company ČESKÁ LÉKÁRNA HOLDING, a.s. The theoretical part includes a comprehensive analysis of foreign direct investment from various aspects, financial analysis, selected indicators, analysis of external and internal environment and methodological approaches including statistical tests for subsequent research. The analytical part includes selected indicators for the period 2000 to 2021 presented in graphical form as well as research aimed at demonstrating the impact of foreign direct investment. The design section proposes solutions that are expected to induce positive or economically beneficial changes with the anticipated result of improving the company's financial situation.
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Testing time-series characteristics of prices of financial derivatives
Vdovičenko, Martin ; Kadavý, Matěj (advisor) ; Šnupárková, Jana (referee)
This work discusses Brownian motion and its basic transformations. The work describes basic properties of its trajectories and shows that Brownian motion is a martingale and a self-similar process. Next, we discuss time series analysis. We introduce graphical tools for analyzing data and we describe theoretical basics of some normality and independence tests. Finally, we consider the hypothesis that in the short run the price of financial assets can be modelled by Brownian motion. We conduct basic statistical tests on real data using the R progam and we talk through our results.
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Infectious diseases and migration
Vostrá, Jana ; Dzúrová, Dagmar (advisor) ; Seidlová, Markéta (referee)
The topic of this diploma thesis is Infectious diseases and migration. Its aim is to assess the distribution of selected infectious diseases in the world and in Europe, with a focus on Czech context. While from the literature it can be concluded that the spread of serious infectious diseases is conditioned by migration, based on the available data it cannot be confirmed that immigration currently constitutes a significant threat for Czech citizens.
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Spectral analysis of myocardial ischemia manifestations in experimental ECG
Surá, Hana ; Hejč, Jakub (referee) ; Ronzhina, Marina (advisor)
This thesis is focused on the analysis of experimental ECG records drawn up in isolated rabbit hearts and aims to describe changes in EKG caused by ischemia It consists of a theoretical analysis of the problems in the evaluation of ECG during ischemia and describes an experimental ECG recording. Theoretical part is followed by a practical section which dealing with the calculation of the processing and interpretation of the results.
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Statistical evaluation of large-scale data of waste colection problem
Šmídová, Zlata ; Karpíšek, Zdeněk (referee) ; Šomplák, Radovan (advisor)
The bachelor thesis deals with statistical evaluation of large-scale data of waste collection problem and with evaluation these data for the purpose of subsequent traffic optimization. Statistical tests were performed in Microsoft Excel and STATISTICA. After compiling the mathematical model, the processed data were uploaded to the SQLite database and to the General Algebraic Modeling System, which calculated the time spent on each section of the route. The results are important for dealing with traffic and logistics issues that many companies and companies are engaged in. This approach represents a new technique for creating boundary conditions in traffic tasks. The output is high quality input data for optimization in logistics.
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Testing time-series characteristics of prices of financial derivatives
Vdovičenko, Martin ; Kadavý, Matěj (advisor) ; Šnupárková, Jana (referee)
This work discusses Brownian motion and its basic transformations. The work describes basic properties of its trajectories and shows that Brownian motion is a martingale and a self-similar process. Next, we discuss time series analysis. We introduce graphical tools for analyzing data and we describe theoretical basics of some normality and independence tests. Finally, we consider the hypothesis that in the short run the price of financial assets can be modelled by Brownian motion. We conduct basic statistical tests on real data using the R progam and we talk through our results.
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