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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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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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Documentation of Skalní zámek passage in Býčí skála cave - southern part
Kubíčková, Alena ; Hanzl, Vlastimil (referee) ; Kratochvíl, Radim (advisor)
This bachelor thesis deals with speleological mapping of a part of the cave system Býčí skála in the Moravian Karst. The part that has been mapped is called Skalní zámek. For the purpose of this work documentation was processed for the southern part of the Skalní zámek. The existing graphic materials of the interest site were searched for and described. For processing purposes, available numerical data were also found, which were compared with the new measurement during processing. The polygon of Skalní zámek was measured by mining suspension compasses. For detailed measurements, a combination of the modified DistoX2 - laser distance range-finder and TopoDroid - software application per the appropriate tablet, was used. The results of the measurements were processed in an a free and open-source cave surveying software - Therion. In this program a ground plan of the Skalní zámek, a longitudinal section of the main hallway and a longitudinal section of the branching hallway was prepared. At the end of this work the symbol lists used by TopoDroid and Therion were compared with the official UIS symbol list
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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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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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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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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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Removing baseline wander in ECG with empirical mode decomposition
Procházka, Petr ; Kolářová, Jana (referee) ; Kubičková, Alena (advisor)
In this semestral thesis, realizations of chosen linear filters for baseline wander are described. These filters are then used on artificial ECG signals from CSE database with added baseline wander. These methods are compared and results are evaluated. After that, literature search of Empirical mode decomposition method is utilized. Realization of designed filters in MATLAB programming language are described, then results are evaluated with respect to filtration success.
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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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