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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.
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HRV analysis based on PPG signal
Kadlčík, Jindřich ; Hrbotický, Lukáš (referee) ; Smital, Lukáš (advisor)
Heart rate variability analysis has lately gained remarkable popularity as a tool in training optimalization and in prevention of cardiac disease. It is usually based on the ECG signal, the acquisition of which is uncomfortable during activity. Therefore, the option to base the analysis on the PPG signal instead was proposed, but not yet sufficiently studied. This study compiles the necessary information for correct heart rate variability analysis and introduces our own implemented detectors of fiducial points in the PPG signal, and compares their usability for calculation of HRV analysis metrics.
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Effect of acquisition site compression in multisite photoplethysmography
Hofrová, Lucie ; Kolář, Radim (referee) ; Janoušek, Oto (advisor)
The theoretical part of the thesis describes the pulse wave's origin, the principle of photoplethysmography, and the influence of vein compression on the morphology of the photoplethysmograph caused by external pressure during PPG signal measurement. Furthermore, the thesis contains the measurement and analysis of the PPG bilateral signal, which is used for the evaluation of whether there are differences between the PPG signal measured on the left or the right side of the human body. A dataset consisting of 10 volunteers was created for evaluation. The practical part contains the algorithm which analysis the PPG signal. Furthermore, normalization and statistical analysis is performed. The results show that external pressure has an effect on pulse wave width analysis and heart rate. When the pressure is high, the ability of pulse wave analysis is impaired.
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Advanced sleep quality estimation
Benáček, Petr ; Ředina, Richard (referee) ; Filipenská, Marina (advisor)
This thesis deals with the assessment of sleep quality using modern deep learning methods. The thesis describes metrics for automatic classification of sleep stages. A selected database of sleep data is discussed. Due to the low number of data in the wakefulness phase, different methods of data augmentation are described and implemented. Models based on 1D convolutional networks are the basis for the classification. As a result, models for binary classification and classification of 3 and 4 sleep phases are prepared. Finally, sleep quality metrics are calculated using these models and the results are compared with the literature.
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Lighting LED module for contactless measurement of physiological parameters
Byrtus, David ; Harabiš, Vratislav (referee) ; Kolář, Radim (advisor)
This thesis describes the design of the illumination LED module for contactless measurement of basic physiological parameters. Contactless methods is based on the fotopletysmografických methods. The acquisition parameters used video camera for monitoring body part of the patient. Designed lighting LED module is used to enhance the optical signal with respect to quantum efficiency of the camera used. The acquired video sequences are then programmatically processed, analyzed, and the result is an estimate of the measured parameter.
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Photopletysmograph with evaluation of recorded lines
Vyskočilová, Marta ; Sekora, Jiří (referee) ; Chmelař, Milan (advisor)
Bachelor thessis deals with the methods of measurement of tissue volume with plethysmographic method focusing on photopletysmography. This method is used to determine the reactivity of blood vessels and blood flow to the quality of the investigated tissue. For shooting plethysmographic curve was designed and made device that communicates with the computer via multifunction NI USB card. For further signal processing was designed the virtual instrument in programming environment LabVIEW and device function was tested on test subjects.
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Blood pressure estimation using smartphone
Vařečka, Martin ; Vítek, Martin (referee) ; Němcová, Andrea (advisor)
Blood pressure is one of the basic indicators of the health state of the cardiovascular system. High blood pressure is the main risk factor of ischemic heart disease, atherosclerosis and stroke. Therefore, it is important to monitor long-term changes in blood pressure and respond in time to these changes. Blood pressure meters are not standard household equipment, while a well-equipped smartphone is. Smartphones contain a large number of sensors capable of measuring biomedical signals. This thesis focuses on creating an application capable of determining blood pressure using data obtained from these sensors.
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PPG signal quality assessment and heart rate estimation
Vargová, Enikö ; Vítek, Martin (referee) ; Němcová, Andrea (advisor)
This work deals with photoplethysmographic (PPG) signals, their processing, quality assessment, estimation of heart rate from PPG signals and the ability to record biological signals with smartphones. The aim of this work is to record PPG signals using a smartphone and reference ECG signals using an ECG recorder. The work also includes the design of two algorithms, one for signal quality assessment and the other for heart rate estimation from PPG signals.
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Analyzer of cardiac waveform
Zmeškal, Ladislav ; Říha, Kamil (referee) ; Číž, Radim (advisor)
The thesis describes design, algorithmization and realization of graphical application for recording EKG and PPG signal using LabJack UE9 tool in Matlab program, it also describes subsequent deposition of recorded signals and their processing, such as optional selection, cropping and filtering. Furthermore there are described types of filters, methods for detecting basic parameters of EKG and PPG signals and methods for detecting R waves and Systolic peaks. Based on detection of those parameters, algorithms for computing average heart rate and finding arrhythmias were designed and tested. Last part of the thesis includes an evaulation which compares values detected by designed algorithms with values from public database which includes reference annotation.
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