|
|
Evaluation of stress reaction to stimuli induced by virtual reality
Mang, Robert ; Králík, Martin (referee) ; Mézl, Martin (advisor)
This bachelor thesis focuses on the assessment of stress response to stimuli evoked in a virtual reality environment. In the theoretical part, it discusses the history of VR, the difference between VR and augmented reality (AR), VR hardware and its use in medicine. It also discusses in detail physiological parameters such as ECG, respiration, electrodermal activity and pressure plateau, which are very useful parameters in the assessment of stress responses. The results are supplemented by a questionnaire survey. The practical part proposes and describes the conduct of a research project to measure the stress response in a group of twenty volunteers. The data obtained are subsequently analyzed and statistically evaluated. Based on the discussion, the stress response is then confirmed for the parameters - heart rate and skin conductance level in the given phases. The results from the pressure platform are analyzed on only one sample participant. The STAI type questionnaire used did not show an increase in subjective stress.
|
|
|
Heart Rate Estimation from the PPG Signals
Šimčák, Petr ; Králík, Martin (referee) ; Kozumplík, Jiří (advisor)
This bachelor thesis focuses on heart rate estimation from photoplethysmographic (PPG) signals. The work utilizes two databases: CapnoBase and BUT PPG. The aim is not only to provide an overview of heart rate estimation methods from PPG signals but also to design, implement, and test algorithms for reliable detection of systolic peaks and heart rate determination. The advantages and limitations of each method are also discussed.
|
|
|
Laboratory exercise using Vernier systems
Kubová, Dominika ; Mézl, Martin (referee) ; Králík, Martin (advisor)
The aim of this thesis is to design a measurement procedure in the LabVIEW development environment for three laboratory exercises using an ECG sensor, a blood pressure sensor and a spirometer from Vernier. In the theoretical part, the physiological introduction, the problems of the given devices and measurement methods are described. The practical part focuses on the development and verification of the proposed measurement protocols, which are attached as appendices to the thesis. It also includes support files for the exercises, including scripts for basic data acquisition and calibration. These materials are intended to serve as teaching tools enabling effective training and understanding of measurement methods in medical diagnostics.
|
|
|
System for monitoring of technical parameters of gamma ray emitters
Šulc, Michal ; Králík, Martin (referee) ; Mézl, Martin (advisor)
The thesis "System for Monitoring the Technical Condition of Irradiators" focuses on developing a system that simplifies the display, interpretation, and subsequent processing of data obtained from stability tests on linear accelerators. The thesis is divided into theoretical and practical parts. The theoretical part deals with radiotherapy and the technical tests conducted. The practical part describes the development and implementation of the system. The resulting product will be used in clinical practice at the Radiation Oncology Clinic of the Masaryk Memorial Cancer Institute.
|
|
|
Signal generator for ECG Holter testing
Gláser, Radek ; Králík, Martin (referee) ; Mézl, Martin (advisor)
This bachelor theses deals with the development of a device for testing the proper functionality of EKG holters. The aim of the project is to design and assemble a signal generator that can be used to test holters. The theoretical part covers electrocardiography and describes the principles of holter monitoring. It also describes various devices used for this monitoring, their parameters, and possible applications in clinical practice. The practical part focuses on the design of the signal generator itself, its assembling, and subsequent testing.
|
|
|
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.
|
|
|
Classification of sleep events from polygraphic data
Bódi, Michal ; Smital, Lukáš (referee) ; Králík, Martin (advisor)
This bachelor’s thesis discusses the detection and classification of sleep apnea. First, it explains the differences between individual sleep disorders and data acquisition methods. Creating an overview such as gain signals and then suggests an algorithm procedure for detection and classification with the help of wavelet transform, thresholding and machine learning model. The thesis continues with the program solution itself in the Matlab environment and its evaluation through the visualization of the confusion matrix and the F1 score. The highest value of F1 in detection reached 91.33% and in classification 43,64%. The created algorithm was supposed to look for sleep-related breathing disorders in all-night recordings.
|
|
|
Classification of sleep phases using polysomnographic data
Králík, Martin ; Kozumplík, Jiří (referee) ; Ronzhina, Marina (advisor)
Aim of this thesis is the classification of polysomnographic data. The first part of the thesis is a review of mentioned topic and also the statistical analysis of classification features calculated from real EEG, EOG and EMG for evaluating of the features suitability for sleep stages scoring. The second part is focused on the automatic classification of the data using artificial neural networks. All the results are presented and discussed.
|
|
|
The Design of Highway Bridge Foundations
Králík, Michal ; Doněk, Michal (referee) ; Boštík, Jiří (advisor)
Topic of this master`s thesis is founding of the hightway bridge, which is located between Lipník and Bělotín. Thesis is aimed for creating shallow foundation and foundation on piles and choosing which option is better. All evaluations have been made without specialized software and than compared with GEO5 results. Better solution will be completed with procedure for construction and drawing documentation.
|
|
|
Control and regulation of the temperature of the drug transport box
Maťašová, Daniela ; Králík, Martin (referee) ; Sekora, Jiří (advisor)
This bachelor thesis deals with the solution of drug transport in a transport box over longer distances. The work also deals with sensors for temperature measurement and methods of its control and regulation. The essence is the design, implementation and verification of the functionality of the transport device, which allows the display of continuous information about the state of the temperature inside the transport box. Temperature control is powered from the car’s on-board network and temperature sensing is powered independently. The transport device allows the setting of the limit temperature up to 35 °C, while exceeding it is indicated by an acoustic and visual alarm. The transport box, which is the result of the work, allows the transport of drugs, and ultimately meets all the requirements of the assignment.
|
guest ::
RSS feed.