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Advanced scoring of sleep data
Jagošová, Petra ; Novotná, Petra (referee) ; Ronzhina, Marina (advisor)
The master´s thesis is focused on advanced scoring of sleep data, which was performed using deep neural network. Heart rate data and the movement information were used for scoring measured using an Apple Watch smartwatch. After appropriate pre-processing, this data serves as input parameters to the designed networks. The goal of the LSTM network was to classify data into either two groups for sleep and wake or into three groups for wake, Non-REM and REM. The best results were achieved by network doing classification of sleep vs. wake using the accelerometer. The statistical evaluation of this best-designed network reached the values of sensitivity 71,06 %, specificity 57,05 %, accuracy 70,01 % and F1 score 81,42 %.
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Polysomnographic data analysis
Jagošová, Petra ; Králík, Martin (referee) ; Ronzhina, Marina (advisor)
The bachelor´s thesis is focused on analysis of polysomnographic signals based on various parameters in time and frequency domain. The parameters are acquired from 30 seconds long segments of EEG, EOG and EMG signals recorded during different sleep stages. The parameters useful for automatic detection of sleep stages are selected according to both visual analysis of boxplots and statistical analysis via comparison tests. EOG parameters selected in the time domain were mobility, skewness and kurtosis. Among EEG parameters, aktivity, 75. percentile, kurtosis and mobility were selected. Among EMG parameters, 75. percentile and complexity were selected. Finally, the parameters selected in the frequency domain were relative power spectra in alpha, delta and beta bands.
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Advanced scoring of sleep data
Jagošová, Petra ; Novotná, Petra (referee) ; Ronzhina, Marina (advisor)
The master´s thesis is focused on advanced scoring of sleep data, which was performed using deep neural network. Heart rate data and the movement information were used for scoring measured using an Apple Watch smartwatch. After appropriate pre-processing, this data serves as input parameters to the designed networks. The goal of the LSTM network was to classify data into either two groups for sleep and wake or into three groups for wake, Non-REM and REM. The best results were achieved by network doing classification of sleep vs. wake using the accelerometer. The statistical evaluation of this best-designed network reached the values of sensitivity 71,06 %, specificity 57,05 %, accuracy 70,01 % and F1 score 81,42 %.
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Polysomnographic data analysis
Jagošová, Petra ; Králík, Martin (referee) ; Ronzhina, Marina (advisor)
The bachelor´s thesis is focused on analysis of polysomnographic signals based on various parameters in time and frequency domain. The parameters are acquired from 30 seconds long segments of EEG, EOG and EMG signals recorded during different sleep stages. The parameters useful for automatic detection of sleep stages are selected according to both visual analysis of boxplots and statistical analysis via comparison tests. EOG parameters selected in the time domain were mobility, skewness and kurtosis. Among EEG parameters, aktivity, 75. percentile, kurtosis and mobility were selected. Among EMG parameters, 75. percentile and complexity were selected. Finally, the parameters selected in the frequency domain were relative power spectra in alpha, delta and beta bands.
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Moral hazards in terms of the financial crisis
Jagošová, Petra ; Žamberský, Pavel (advisor) ; Neumann, Pavel (referee)
This diploma thesis focuses on the moral hazard aspects in the financial crisis on the USA market in the years 2007-2009, that later became known as a global crisis of real economic. The thesis aim is to prove a role of moral hazard in the financial crisis origins, role that can be detected in the activities and behavior of the market participants. There is a survey of the individual causes of the crisis and interpretation in the terms of moral hazard. First part of the thesis focuses on the theoretical basics of moral hazard that is being represented by the Principal-Agent Problem. This theory is further applied on the financial market theories. Second part of the thesis describes the origin and development of the financial crisis. It represents the introduction of the crisis without exploring the causes. The third part of the thesis is the core part, there is presented the role of moral hazard in the financial crisis due to the synthesis of the two previous parts. Item by item there are introduced the activities on the crisis market, where the principle of these activities is presented in terms of moral hazard. This part also includes moral hazard in the society that influences also the financial market. The last part focuses on the regulation of the financial markets in connection with the possibilities of moral hazard elimination.
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The regional policy in eastern enlargement context
Jagošová, Petra ; Abrhám, Josef (advisor) ; Tunkrová, Věra (referee)
The bachelor thesis "The regional policy in eastern enlargement context" is primarily dealing with development of regional policy from enlargement point of view. The main focus is on the greatest enlargement of EU history -- the eastern enlargement. The aim of the thesis is to examine the changes which were implemented in regional policy due to the eastern enlargement. The first part refers to the development of the policy EU from early years. Afterwards, the thesis is focused on aspects of eastern enlargement, in other words examines changes of aims of regional policy, change of redistribution of financial resources, new challenges after enlargement, and the main developing trends in summary. The last part is focused on Poland as one of the eastern enlargement state. It examines the attitude to the regional policy and its implementation from the state point of view.
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