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Obstructive sleep apnea detection using polysomnography
Smrčková, Markéta ; Mézl, Martin (referee) ; Králík, Martin (advisor)
This thesis attempts to find an alternative method for automatic detection of sleep apnea using polysomnographic data. The first part is focused on introduction to lungs anatomy and physiology of breathing, sleeping and cardiac system. The second part describes the process of sleep examination and particular components of polysomnographic data. The third part is focused on realization of specific method for sleep apnoea detection, application on real data and results evalutation.
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Heart rate variability analysis from sleep ECG
Lepková, Kamila ; Kozumplík, Jiří (referee) ; Králík, Martin (advisor)
This bachelor thesis deals with an analysis of heart rate variability from sleep ECG. The thesis is divided into two parts, the first one is theoretical part and describes the physiology of heart and respiratory system, ECG curve, sleeping phases, apnea, and above all analysis of heart rate variability of ECG. In the practical part, using MATLAB software, was developed an algorithm of the analysis. The algorithm was tested on real signals from a publicly accessible database. The difference between the physiological ECG and the ECG with apnea is statistically evaluated using sing parameters from the time and frequency domain. Kruskal-Wallis statistic test confirms that there is a significant difference between the physiological signal and the apnea signal.
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Model of breathing stabilization in infant using stochastic mechanosensoric stimulation
Laníková, Petra ; Čmiel, Vratislav (referee) ; Provazník, Ivo (advisor)
The goal of this thesis is to create a stochastic model of the breathing automaticity oscillator, including its management with the possibility of stopping and restarting oscillation by an accidental process. The oscillator is implemented by computer program MATLAB R2014a and the results are compared with real records of breathing patterns in newborns. These results are represented with pictures. To evaluate these records is used knowledge of respiratory automatism and sleep apnea syndrome, especially apnea in preterm neonates
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Detection of sleep apnea from polysomnographic signals
Vecheta, Miroslav ; Potočňák, Tomáš (referee) ; Kozumplík, Jiří (advisor)
This thesis deals with the detection of sleep apnea using polysomnographic data and attempt to find a possible alternative and simpler method of this detection. The thesis consists of three parts: The first part is important for introduction to the lungs anatomy and the physiology of breathing and the sleep phisiology. The second part deals with the ways of testing sleep apnea. The third part then continues with implementation of alternative methods of testing in Matlab software. The final program calculates the breathing curve from ECG data. The curve is important for the final detection of sleep apnea.
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Sleep apnea detection
Hastík, Matěj ; Janoušek, Oto (referee) ; Ronzhina, Marina (advisor)
This master‘s thesis deals with a detailed description of sleep apnea and methods of detection of sleep apnea. The first part of the work is focused on the physiology of sleep, sleep apnea itself, its distribution, symptoms, risk factors and treatment. The next part of the work deals with polysomnographic examination and methods for analysis of polysomnographic data. The last part is devoted to the procedure design for detecting sleep apnea by using only one kind of signal and by using more kinds of signals, implementation of these proposals, their testing on real data, evaluating the detection performance and comparing the results with data available in the literature.
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