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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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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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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.
|
|
|
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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