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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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Porovnání metod tréninku a přípravy koní pro vytrvalostní soutěže rozdílných stupňů výkonnosti
BERNARDOVÁ, Eliška
The aim of the bachelor thesis was to analyse the course of training and sport season of selected horses competing in various levels of endurance competitions. Three horses with differential performance were monitored. The following parameters of training were monitored on the selected horses: distance, speed, elevation, time and work in individual courses. Moreover, management, feeding regimen, the types of healthcare treatment and physiological parameters on selected horses were recorded.
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Complete implementation of pulse oximeter
Doležal, Lukáš ; Kaller, Ondřej (referee) ; Šotner, Roman (advisor)
This thesis deals with the design of a pulse oximeter. The resulting device allows to measure human blood oxygen saturation and heart rate in a non-invasive way. Easy portability is enabled by battery power supply and the used colour graphical display ensures clear display of the measured data. The paper describes in general terms the principle of pulse oximetry, a description of the chosen electronic components and the firmware developed to ensure the device's operation. Verification of correct operation was performed by comparing the measurements with similar devices available on the market.
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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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Cardiotachometer
Máca, Kamil ; Číž, Radim (referee) ; Chmelař, Milan (advisor)
This masters thesis describes possibilities of a heart rate measuring. Several methods of measuring will be discussed. The primary objective of this paper is to design battery powered cardiotachometr with a range of 30-240 beats/min and a low battery indication. Cardiotachometer uses the R waves detector to measure heart rate. This thesis is focused on creation of the block diagram, electrical circuit, printed circuit and calculation of electronic device used in cardiotachometers.
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LabView and biosignal analysis
Kutílek, Miloš ; Harabiš, Vratislav (referee) ; Kolář, Radim (advisor)
This bachelor’s thesis deals with the analysis of biological signals in LabView environment. Mainly it focuses on the analysis of ECG signals. The thesis also describes the theory of electrocardiogram and occupies by several programs which consider various approaches to digital filtering of ECG signals, programs for detection R wave by different ways and simple cardiology monitor.
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Heart rate measurement
Jiřík, Ondřej ; Rampl, Ivan (referee) ; Chmelař, Milan (advisor)
This work deals with the measurement of heart rate parameters. One of the objectives of this work is a summary of methods for measuring heart rate, from which data can be derived heart rate and subsequently evaluated. Also deals with the accuracy of this parameter. It describes the basic characteristics of sensors and applicable in terms of sensitivity to movement. In the work is drawn design of a simple heart rate monitor with a range of 40-200 beats per minute. For the whole device is carried out by the proposal of the printed circuit board in EAGLE program.
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