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Reccurence plot for heart rate variability analysis
Franěk, Pavel ; Čmiel, Vratislav (referee) ; Janoušek, Oto (advisor)
The aim of this thesis is to describe the variability of cardiac rhythm and familiarity with the methods of the analysis, ie by monitoring changes in heart rhythm electrogram signal recording and using the methods in the time domain using recurrent diagram. The work describes the quantification of the methods and possibilities of quantifiers in the evaluation of heart rate variability analysis. It also describes the clinical significance of heart rate variability and diagnostic capabilities changes of heart rate variability caused by ischemic heart disease. The practical part describes how to create applications in Matlab to calculate the quantifiers analysis of heart rate variability in the time domain using recurrent diagram. The calculation was made of the positions R wave elektrogram signal isolated rabbit hearts. The calculated values of quantifiers both methods were statistically evaluated and discussed.
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Analysis of heart rate variability in animal models
Řehořková, Iveta ; Ronzhina, Marina (referee) ; Kolářová, Jana (advisor)
This paper deals with the analysis of heart rate variability (HRV) in animal models. The first part discusses, the basic information concerning the ECG, both in humans and in individual laboratory animals. This is followed by an introduction to the topic of heart rate variability, a description of methods for its determination and the effects of pathologies on HRV values. Prior to the practical section, the methods of ECG acquisition in animal models are discussed, and the function of the perfusion model used in capturing data for this work is also described in detail. The last part deals with the analysis of HRV provided data, performed in Matlab environment and an evaluation of the chosen methods.
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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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ECG Biofeedback
Macková, Pavlína ; Kolářová, Jana (referee) ; Sekora, Jiří (advisor)
The master’s thesis is focused on the possibilities of measuring heart rate of ECG signal and its use in therapeutic game of ECG biofeedback. This thesis describes the way of measuring ECG with acquisition unit Biopac and analyzes signal processing for measurement of heart rate – algorithms of QRS detection, HRV analysis. Realisation of therapeutic is designed for applications in Matlab.
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Heart rate variability analysis from sleep ECG
Lepková, Kamila ; Kozumplík, Jiří (referee) ; Králík, Martin (advisor)
This bachelor thesis deals with an analysis of heart rate variability from sleep ECG. The thesis is divided into two parts, the first one is theoretical part and describes the physiology of heart and respiratory system, ECG curve, sleeping phases, apnea, and above all analysis of heart rate variability of ECG. In the practical part, using MATLAB software, was developed an algorithm of the analysis. The algorithm was tested on real signals from a publicly accessible database. The difference between the physiological ECG and the ECG with apnea is statistically evaluated using sing parameters from the time and frequency domain. Kruskal-Wallis statistic test confirms that there is a significant difference between the physiological signal and the apnea signal.
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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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PPG-based analysis of heart rate variability
Zachar, Erik ; Šaclová, Lucie (referee) ; Ronzhina, Marina (advisor)
The Bachelor's thesis is focused on heart rate variability and its analysis using PPG records. This thesis describes, explains and compares methods of measuring heart rate using electrocardiographic (ECG) and photoplethysmographic (PPG) recordings. In the beginning of thesis, the theory of the cardiovascular system, heart rate variability and acquaintance with the measurement of ECG recordings is described. At the end of the theoretical part, the measurement of PPG records is explained with the possibilities of their subsequent processing for HRV analysis. The practical part deals with data acquisition on volunteers, later the design of an algorithm for signal preprocessing, calculation of selected HRV parameters and finally statistical evaluation of success and discussion of results.
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Analysis of heart rate variability in animal models
Řehořková, Iveta ; Ronzhina, Marina (referee) ; Kolářová, Jana (advisor)
This paper deals with the analysis of heart rate variability (HRV) in animal models. The first part discusses, the basic information concerning the ECG, both in humans and in individual laboratory animals. This is followed by an introduction to the topic of heart rate variability, a description of methods for its determination and the effects of pathologies on HRV values. Prior to the practical section, the methods of ECG acquisition in animal models are discussed, and the function of the perfusion model used in capturing data for this work is also described in detail. The last part deals with the analysis of HRV provided data, performed in Matlab environment and an evaluation of the chosen methods.
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Heart rate variability analysis from sleep ECG
Lepková, Kamila ; Kozumplík, Jiří (referee) ; Králík, Martin (advisor)
This bachelor thesis deals with an analysis of heart rate variability from sleep ECG. The thesis is divided into two parts, the first one is theoretical part and describes the physiology of heart and respiratory system, ECG curve, sleeping phases, apnea, and above all analysis of heart rate variability of ECG. In the practical part, using MATLAB software, was developed an algorithm of the analysis. The algorithm was tested on real signals from a publicly accessible database. The difference between the physiological ECG and the ECG with apnea is statistically evaluated using sing parameters from the time and frequency domain. Kruskal-Wallis statistic test confirms that there is a significant difference between the physiological signal and the apnea signal.
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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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