|
|
Application of deep learning in sleep apnea detection
Láznička, Jakub ; Šaclová, Lucie (referee) ; Králík, Martin (advisor)
The master thesis focuses on the use of deep learning methods for the detection of sleep apnea, a sleep disorder characterized by repeated episodes of cessation or significant reduction in airway flow during sleep. The study investigates the effectiveness of Convolutional Neural Networks (CNN) and Bidirectional Long Short-Term Memory (BiLSTM) models in the automatic detection of different types of sleep apnea using polysomnographic recordings. The datasets used in this work are from the MESA database, which have been specially prepared and modified for deep learning. The best performing models achieved F1-scores of 0.87 and 0.83, showing that deep learning can provide accurate tools for sleep apnea diagnosis, representing a potential improvement in clinical practice. The paper also discusses the possibilities of integrating these models into clinical diagnostic processes and outlines directions for future research in this area.
|
|
|
Infant Movement Monitor
Zahradníčková, Ludmila ; Chmelař, Milan (referee) ; Sekora, Jiří (advisor)
Movement monitor is a detection device for monitoring the frequency of breathing of newborns and infants. It is usually indicated to children under the one year as a support to reduce the risk associated with sleep apnoea and Sudden Death Syndrome. The theoretical part of this bachelor thesis discusses the physiology of respiration, respiratory disorders, methods of monitoring and treatment. The aim of the technical part is to design own monitoring device for detecting and evaluating the frequency of breathing. It includes a block diagram and a wiring scheme of device and a flow chart of program, which is implemented by a microcontroller.
|
|
|
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.
|
|
|
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.
|
|
|
Detection of Sleep Apnea in Adults
Vrana, Vojtěch ; Králík, Martin (referee) ; Sekora, Jiří (advisor)
The goal of this work is to construct a device detecting apneic respiration pauses during sleep. The most common cause of apnea pauses is obstruction of the airways, eg, airway collapse. Apnea leads to a deterioration in the quality of sleep and increases the risk of cardiovascular disease. The controller is designed on the Arduino Uno development board. The whole measuring device consists of two circuits for measuring the external manifestations of movement of respiratory muscles and a microphone for measuring the presence of air flow.
|
|
|
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.
|
|
| |
|
|
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.
|
|
|
Detection of Sleep Apnea in Adults
Vrana, Vojtěch ; Králík, Martin (referee) ; Sekora, Jiří (advisor)
The goal of this work is to construct a device detecting apneic respiration pauses during sleep. The most common cause of apnea pauses is obstruction of the airways, eg, airway collapse. Apnea leads to a deterioration in the quality of sleep and increases the risk of cardiovascular disease. The controller is designed on the Arduino Uno development board. The whole measuring device consists of two circuits for measuring the external manifestations of movement of respiratory muscles and a microphone for measuring the presence of air flow.
|
|
|
Effect of obstructive sleep apnea on oxidation and transport of fatty acids in skeletal muscle in patients with type 2 diabetes mellitus
Havlíková, Nikola ; Polák, Jan (advisor) ; Gojda, Jan (referee)
Sleep apnea syndrome, or sleep apneic syndrome, is a serious illness that causes a high risk of cardiovascular disease development in patients. This disease is characterized by a breathless breathing disorder and falls into a class of disorder that accompanies sleep disturbances. Sleep apnea syndrome (SAS) affects 5-15% of the population, and 50-80% of patients with type 2 diabetes mellitus (T2DM) or severe obesity. SAS has a causal contribution to the development of disorders in glucose metabolism and T2DM. Diabetes mellitus type 2 is a complex metabolic disorder in which the organism is unable to process glucose as under normal physiological conditions due to a relative insulin deficiency and simultaneous peripheral insulin resistance. Insulin resistance is eventually compensated for by increased insulin secretion, which leads to the development of hyperglycemia after failure of this compensation. T2DM is very often associated with the presence of obesity, arterial hypertension, dyslipidemia and hyperuricemia. The aim of this study is to determine if the presence of SAS in non-diabetic subjects and patients with type 2 diabetes mellitus leads to disorders in the metabolism of fatty acids in the skeletal muscle. The results of the study contribute to the understanding of the molecular mechanisms...
|
guest ::
