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Preprocessing of R-R interval tachogram
Had, Filip ; Kozumplík, Jiří (referee) ; Kubičková, Alena (advisor)
Heart rate variability (HRV) is a parameter, which monitors variability of the time intervals between consecutive heart beats. Signal HRV contains artefacts and trends, which is necessary to remove before further processing. This work contains a brief information about the HRV and ECG signal processing. Further on the most frequently methods of heart rate variability preprocessing are described. The work includes a brief assessment of each method. Further on, several of the mentioned preprocessing algorithms are realized and described in this work. The last part is testing an evaluating of programmed algorithms on generated data and then demonstration on real data.
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Noise map
Lokaj, Jiří ; Kubičková, Alena (referee) ; Rozman, Jiří (advisor)
The aim of this paper is to introduce the measurement of noise and create a noise map in a geographic information system. The first part is focused on describing the physical properties of sound in space, atmospheric and physiological acoustics. It also deals with the physiological effects of noise on the human body and technology needed for measure and process noise. Other part describes the structure of a geographic information system and noise map. The last part is about the practical creation of noise maps, includes a description of the real measurement results and evaluation
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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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Sleep stage classification based on HRV signals
Schlorová, Hana ; Kubičková, Alena (referee) ; Kozumplík, Jiří (advisor)
The most common method for scoring of sleep stages is the evaluation by EEG. This work utilizes ECG signal to the comparable evaluation of sleep. It summarizes the methods of presentation and assessment of heart rate variability (HRV) and describes the whole algorithm of calculation and presentation of this signal using Lorenz plot. This work also focuses on evaluation of Lorentz plots and parametrs quantifying variability of samples in maps. It seeks to draw the conclusion of sleep stages from their waveform.
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Suppression of artifacts in electrocardiograms
Šafárová, Marcela ; Kubičková, Alena (referee) ; Janoušek, Oto (advisor)
The bachelor’s thesis on the subject removal of ECG noise introduces processing of ECG signal for possible better diagnostics. The first part of the work is focused on initiation and propagation of action potential and methods for measuring heart´s electrical activity. Further are referred main types of noise affecting the ECG signal and basic filtering methods. The work focuses on filtration using Lynn´s filters, IIR filters, interpolation, spectral lines editing and adaptive filters and evaluation of their effectivity.
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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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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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Noise map
Lokaj, Jiří ; Kubičková, Alena (referee) ; Rozman, Jiří (advisor)
The aim of this paper is to introduce the measurement of noise and create a noise map in a geographic information system. The first part is focused on describing the physical properties of sound in space, atmospheric and physiological acoustics. It also deals with the physiological effects of noise on the human body and technology needed for measure and process noise. Other part describes the structure of a geographic information system and noise map. The last part is about the practical creation of noise maps, includes a description of the real measurement results and evaluation
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