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Heart rate variability in decreasing of alertness level
Strublová, Tereza ; Provazník, Ivo (referee) ; Janoušek, Oto (advisor)
Objective of this study is to familiarize with problems of measuring heart rate variability. At first there is described physiology of vascular system, then practical measuring of heart rate variability during falling asleep. At the end of this project is the statistical processing of results and comparison of the differences between heart rate variability during sleep and wakefulness.
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Analysis of Heart Rate Variability
Peterek, Jan ; Janoušek, Oto (referee) ; Kozumplík, Jiří (advisor)
The goal of this thesis is to describe and implement the chosen method for estimating the power spectrum of heart rate variability. Two methods have been developed that are aligned with each other conclusion. This thesis of theoretical and practical parts. The theoretical part describes the theory of the ECG signal and heart rate variability in the practical part the realization of the two selected methods for estimating the power spectrum of heart rate variability, and several other auxiliary display in Matlab
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Scanning a analysing of heart electrical activity and blood pressure before and after the load
Vích, Daniel ; Kolářová, Jana (referee) ; Kratochvíla, Jiří (advisor)
The aim of bachelor’s thesis is familiarization with anatomy and physiology of heart, with setting to electrical activity, scanning EKG before and after the load with Biopac system, scanning of blood pressure before and after the load with auscultation, statistical analysis of acquired data and presentation of measured data in graphical interface Guide of Matlab system. According to the protocol of measurement, scanning of heart electrical activity with the Biopac system, and scanning of blood pressure, with auscultation, was realized before and after the load. Measured data was statistically analyzed with t-test to verify hypothesis, that there is an influence of the load on the watched parameters, and to show the process of statistical verification. Application of this method assumes normal distribution of data, that’s why data was at first tested by Chi-squared and Kolmogorov-Smirnov test to verify their normal distribution. In the next step data was imported into Matlab system. The presentation of measured data is realized in graphic interface Guide. The program contains time domain and spectral analysis, automatic detection of heart rate and analysis of heart rate variability.
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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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Analysis of long-term electrocardiograms
Vojtíšek, Jiří ; Vítek, Martin (referee) ; Kolářová, Jana (advisor)
This work deals with long-therm analysis of electrocardiogram using heart rate variability representation. Project explains heart anatomy and electrophysiology, creation and shape of ECG curve. Heart rate variability is described by power spectral density, which we obtain from created algorithm. This algorithm was used in graphic user interface application Spider Pig Analysis, which analyze long-term ECG focused on showing Power Spectral Density graph. Practicality of this program was verified in experiment. In the experiment HRV at rest and HRV at tilt were compared.
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Mobil system for monitoring of sports activity
Maleňák, Filip ; Čížek, Martin (referee) ; Rozman, Jiří (advisor)
The aim of this master’s thesis is to analyse methods that are used for monitoring athlete’s activities and a description of current technical solutions with a focus on heart rate and respiratory rate monitoring. The presented solution shows the possibilities of using available open source SW and HW technologies and their implementation in the design of an integrated tool for monitoring sports activities with the iOS operating system.
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Influence of autonomic nervous system in the inducibility of atrial fibrillation.
Šrutová, Martina ; Provazník, Ivo (referee) ; Kolářová, Jana (advisor)
Cílem této práce je zjištění změn předcházejícím fibrilaci síní. Pozorována je rovnováha mezi sympatikem a parasympatikem. Do experimentu výzkumného ústavu Cleavlendské kliniky bylo zapojeno šest psů různých ras. Signály EKG byly získány Holterovským 24hodinovým monitorováním. Pomocí 40 vysokofrekvenčních impulsů (TI) byla každých 30 minut vyvolávána AF. Z 24hodinového signálu byly extrahovány kratší epizody. Každá z těchto epizod obsahovala 10 minut předcházejících TI a 3 minuty následující po TI. Desetiminutové epizody byly zpracovány automaticky, byly detekovány QRS komplexy a RR intervaly a vypočteny HRV parametry. Přítomnost a délka trvání AF byly zjištěny manuálně z tříminutových intervalů následujících po TI. Byla-li vyvolána AF o délce trvání kratší než 30 sekund došlo ve srovnání s epizodami bez výskytu AF k významným změnám tří HRV parametrů. HF parametr poklesl pro epizody s výskytem AF. LF parametr byl naopak vyšší v epizodách s AF. Pro AF delší než 30 sekund nebyly významné změny pozorovány. Změny v epizodách s krátkou AF mohly být způsobeny změnami vlivu sympatiku a parasympatiku. Ke vzniku dlouhých AF je pravděpodobně zapotřebí i jiného vlivu, který nemusí nutně souviset s nervovým systémem. K dalším analýzám je zapotřebí většího množství signálů.
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Use of HRV analysis for automatic detection of ischemia in animal isolated heart
Vykoupil, Pavel ; Vítek, Martin (referee) ; Ronzhina, Marina (advisor)
This paper deals with HRV analysis, creating segments for this analysis, calculating HRV parameters and their classification for automatic detection of ischemia. First part of the work is dedicated to theoretical describtion of heart anatomy, ECG reading, its processing and methods of HRV analysis. Next part of this work outline the principle of creating segments used for calculation of HRV parameters. Last part of the work indtroduces classification of said parameters with the help of multilayered neural networks and finding their best possible setup based on least classification error and computing time achieved. Calculation of HRV parameters and classification was realized using software Matlab.
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ECG classification using methods of HRV analysis
Caha, Martin ; Vítek, Martin (referee) ; Ronzhina, Marina (advisor)
This paper deals with the classification of ECG measured from isolated rabbit hearts during the experiment with repeated ischemia. Classification features were calculated using the methods of heart rate variability analysis. The results were statistically evaluated. Heart rate variability parameters were calculated using Kubios HRV, other calculations were performed in MATLAB. Artificial neural network was created to classify the analyzed parameters to specific groups.
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