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Training zones estimation
Goldschmidt, Tobiáš ; Chlíbková, Daniela (referee) ; Janoušek, Oto (advisor)
Tréning založený na tréningových zónach je dôležitou súčasťou moderného športu. Tieto tréningové zóny sa zvyčajne určujú na základe parametrov výmeny plynov alebo hladín laktátu v krvi, ktoré sa merajú počas laboratórneho odstupňovaného záťažového testu. Na základe týchto testov sa športovcom určia prahové hodnoty srdcovej frekvencie alebo záťaže, v rámci ktorých by mali udržiavať požadovanú intenzitu cvičenia. V posledných rokoch sa objavila nová metóda merania tréningových zón v laboratóriu s možnosťou ich zobrazenia športovcom v rovnakej metrike, v akej boli namerané - na základe koeficientu DFA alfa1 variability srdcovej frekvencie (HRV). Táto práca predstavuje aplikáciu na zobrazovanie tréningových zón v reálnom čase na základe koeficientu DFA alfa1 HRV a výpočet ich reprezentácie tepovou frekvenciou na základe laboratórneho testu. Zobrazovanie trénigových zón v reálnom čase na základe DFA alpha1 však nesie minimálnu podobnosť s referenčnými dátami (presnosť 22,39%, Kohenovo =0,05), preto je v tomto smere aplikácia nepoužiteľná. Na druhej strane však dosahuje dostatočné výsledky pri laboratórnom testovaní ( 3 ± 2 bpm, p>0.05), aby bola v tomto smere označená za použiteľnú.
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Determining Stress Level from Heart Rate Monitoring
Hodulík, Hynek ; Strnadel, Josef (referee) ; Bidlo, Michal (advisor)
This thesis outlines the development of a prototype wearable embedded device intended for stress detection via physiological measurements utilizing an EKG sensor. Communication for the device is facilitated through Bluetooth LE. Accompanying the device is an algorithm designed to estimate stress levels locally based on collected heart rate variability data. Following a comparison of various methods, a multilayer perceptron was selected for stress detection. The proposed solution demonstrates an 85% accuracy rate in stress detection on WESAD dataset.
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Analysis of measured parameters of the cardiovascular system
Lysoň, Jakub ; Vítek, Martin (referee) ; Kratochvíla, Jiří (advisor)
This bachelor thesis talks about the measurement of heart electrical activity by twelve lead ECG. The diagnostic system Biopac is used for measurement, featured by the computer program Acqknowledge. The own authentic method is designed to detect effect of load on increasing in blood pressure and heartbeat. Using a statistical procedure for testing hypotheses in this area the measurement results will be evaluated. For the analysis of measured data in time and frequency domain was used program Matlab, in which the measured results were imported. It was created functions that are implemented in an medium of Guide to the graphic design program.
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Response of biological signals during acoustic and optical stimulation
Strakoš, Libor ; Chmelař, Milan (referee) ; Bubník, Karel (advisor)
The goal of this thesis is recording and evaluating of biological signals connected with autonomic nervous system. Changes in signals are caused by optical and acoustical stimuli. These stimuli are pictures of different meaning. Colors, basic symbols and neutral pictures with variance in colorization are included. Acoustic stimulation is provided by short startle stimulus of white noise sound impulse. Changes in signals are statistically and subjectively evaluated as changes in emotional state of tested person. Tested people fill in a questionnaire about their feelings. Results of signal processing and questionnaire are compared at the end.
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Software for manual delineation of ECG signals
Jež, Radek ; Kozumplík, Jiří (referee) ; Vítek, Martin (advisor)
This thesis deals with evaluation EKG in terms of classification rhythm and analysis HRV. In theoretic part of work are described basics of heart physiology and its usual pathology, basics of electrocardiography, evaluation EKG and standard methods of HRV evaluation. In practical part are described algorithms used in created application. Mainly describes technique of rhythm evaluation, ectopic rhythms and delineation error elimination, data preparing for HRV evaluation, drift removal from DES and HRV evaluation methods. Created program was tested on CSE and MIT- BIH database records. For lack of suitable data and absence of tested data, it wasn’t possible to test all the classification rules of used algorithms. Tested part of program appears reliable and functional.
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Response of biological signals on multimedia content
Ondrášková, Lucie ; Chmelař, Milan (referee) ; Bubník, Karel (advisor)
This paper explains the concept of emotion, emotion dimension and how emotions relate to the central nervous system. Additionally, there is research that were the inspiration for this work, the basic types of emotions and their physiological responses. The following are ways to monitor signals caused by emotions. The practical part deals with the sensing signals from the periphery of the body, specifically the EDA, EMG, EOG and PPG. As stimuli to elicit these signals were used photography, music and film. The signals were processed using the program developed in Matlab. Program specific values obtained were statistically analysed.
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Analysis of measured parameters of the cardiovascular system
Lysoň, Jakub ; Vítek, Martin (referee) ; Kratochvíla, Jiří (advisor)
This bachelor thesis talks about the measurement of heart electrical activity by twelve lead ECG. The diagnostic system Biopac is used for measurement, featured by the computer program Acqknowledge. The own authentic method is designed to detect effect of load on increasing in blood pressure and heartbeat. Using a statistical procedure for testing hypotheses in this area the measurement results will be evaluated. For the analysis of measured data in time and frequency domain was used program Matlab, in which the measured results were imported. It was created functions that are implemented in an medium of Guide to the graphic design program.
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HRV analysis in the context of daily activities
Indrák, Václav ; Smital, Lukáš (referee) ; Novotná, Petra (advisor)
The aim of this bachelors thesis is to measure ECG recordings on voulenteers, and following analysis of HRV from these recordings. It persues the explanation of basic metrics used to evaluate HRV, used both in clinical and scientific practice and their following programming implementation in Matlab environment to achieve the most accurate results possible, which are than assessed.
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PPG-based analysis of heart rate variability
Zachar, Erik ; Šaclová, Lucie (referee) ; Ronzhina, Marina (advisor)
HRV, PPG, simultaneous measurement, HRV analysis, daily activities, ECG, deviation detection, respiratory curve
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