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Nonlinear methods of heart rate variability analysis in metabolic syndrome
Vaňková, Eliška ; Kozumplík, Jiří (referee) ; Kubičková, Alena (advisor)
This work deals with the problematic of heart rate variability of patients with metabolic syndrome. Includes the theory, which describes the heart rate variability and the methods for its analysing. Especially it specifies nonlinear methods, particularly Lyapunov exponent and its calculation in Matlab software. Algorithm of the calculation is applicated to already measured tachogram of the healthy people and patients with the metabolic syndrome. Further, this work deals with general valorization of the results using Lyapunov exponent and her eis also done the statistical evaluation.
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Detrending heart rate variability signal with empirical mode decomposition EMD
Foltová, Anežka ; Janoušek, Oto (referee) ; Kubičková, Alena (advisor)
HRV analysis is an important indicator of pathophysiological examination. R-R waves are used for detection and analysis of ECG interval. R-R intervals can be analyzed by various methods. During spectral analysis is an often phenomenon disturbing non-stationary trend, which needs to be removed. In this paper, which deals about detrending, is mainly introduced Empirical mode decomposition (EMD) which is popular in recent years. Subsequently, this method is being compared to the method of wavelet transformation and Smoothness prior apprach (SPA).
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Measurement and analysis of cardiovascular parameters
Filipová, Petra ; Smital, Lukáš (referee) ; Kratochvíla, Jiří (advisor)
This bachelor´s thesis illustrates the basic diagnostic procedures for ECG analysis in clinical practice. It contains the verification of statistical hypotheses, automatic detection of the RR intervals using three different QRS detectors and heart rate from the ECG und other analyses in time and frequency domain. The validation of detection efficiency is investigated. Heart rate variability analyses are shown in time and frequency domain too. Analyses are done in Matlab, the graphical interface in Maltab GUIDE was done too and includes all of the created functions in time and frequency domain. For the purpose of evaluation methods the real data were measured according to the created acquisition protocol.
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Modeling of RR intervals
Jach, Daniel ; Kozumplík, Jiří (referee) ; Kubičková, Alena (advisor)
This thesis is focused on modelling RR intervals. Different models are created illustrating the function of cardiovascular system in order to test various methods for expressing, removing trend and analyzing heart rate variability signals. In this thesis the IPFM model as well as the McSharry model are described and realized.
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Meter of pulse frequency variability
Starzyczny, Radek ; Lutera, Ondřej (referee) ; Strašil, Ivo (advisor)
The aim of this thesis was to design and construct an autonomous module for receiving and processing HRV (Heart Rate Variability). The device is made as an extension board for development kit STM32. For receiving HR signal is used sensor RMCM-01. The device allow calculate and display the heart rate and its variability and some more parameters from collected data.
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Methods for the evaluation of heart rate and arterial blood pressure variability
Sedláčková, Gabriela ; Halámek, Josef (referee) ; Leinveber, Pavel (advisor)
The bachelor thesis deals with methods for description of heart rate variability and arterial blood pressure. An important mechanism for maintaining homoeostasis in the body is so called baroreflex feedback loop, which allows for a short-term regulation of blood pressure. The thesis contains description of methods which are currently used for baroreflex sensitivity evaluation. Analysis in time domain as well as in frequency domain was done using programs in Matlab environment. At the end of the thesis the influence of ventricular extrasystoles on output parameter is evaluated.
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Gabor transform for heart rate variability analysis
Omastová, Martina ; Klimek, Martin (referee) ; Janoušek, Oto (advisor)
This bachelor thesis focuses on the problem of measurement of heart rate variability. Heart rate variability (HRV) is an oscillation in the interval between consecutive heartbeats. It can be analysed by several methods, but in this work was used method analysis in time domain and Gabor transform. There were evaluated changes in HRV caused by global ischemia by both methods and reveal differences between the two methods. The methods were compared. In the conclusion was evaluated which method is more suitable for analysis of HRV.
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Short time Fourier transform for heart rate variability analysis
Osičková, Kristýna ; Slávik, Vladimír (referee) ; Janoušek, Oto (advisor)
The thesis describes the heart rate variability (HRV), its physiological and clinical significance and the means of its analysis. It includes a thorough dissection of the methods applied in the process of HRV evaluation in a time domain and using the short-time Fourier transform. The thesis compare both of the methodologies regarding changes of HRV caused by global ischaemia. The practical part descibes the application created in Matlab for analysis in the time domain and using short-time Fourier transform. The resulsts were calculated from the positions R wave EG signal isolated rabbit hearts.
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