National Repository of Grey Literature 4 records found  Search took 0.01 seconds. 
Sleep EEG analysis
Kříženecká, Tereza ; Potočňák, Tomáš (referee) ; Ronzhina, Marina (advisor)
This thesis deals with the analysis of EEG during various sleep stages, which is done by calculating the selected parameters from the time and frequency domain. These parameters are calculated from individual segments of EEG signals that correspond with various sleep stages. Based on the analysis it decides which EEG parameters are appropriate for the automatic detection of the phases and which method is more suitable for evaluation of data in hypnogram. The programme MATLAB was used for the analysis and also for the comparison of chosen data.
Scanning a analysing of heart electrical activity and blood pressure before and after the load
Vích, Daniel ; Kolářová, Jana (referee) ; Kratochvíla, Jiří (advisor)
The aim of bachelor’s thesis is familiarization with anatomy and physiology of heart, with setting to electrical activity, scanning EKG before and after the load with Biopac system, scanning of blood pressure before and after the load with auscultation, statistical analysis of acquired data and presentation of measured data in graphical interface Guide of Matlab system. According to the protocol of measurement, scanning of heart electrical activity with the Biopac system, and scanning of blood pressure, with auscultation, was realized before and after the load. Measured data was statistically analyzed with t-test to verify hypothesis, that there is an influence of the load on the watched parameters, and to show the process of statistical verification. Application of this method assumes normal distribution of data, that’s why data was at first tested by Chi-squared and Kolmogorov-Smirnov test to verify their normal distribution. In the next step data was imported into Matlab system. The presentation of measured data is realized in graphic interface Guide. The program contains time domain and spectral analysis, automatic detection of heart rate and analysis of heart rate variability.
Sleep EEG analysis
Kříženecká, Tereza ; Potočňák, Tomáš (referee) ; Ronzhina, Marina (advisor)
This thesis deals with the analysis of EEG during various sleep stages, which is done by calculating the selected parameters from the time and frequency domain. These parameters are calculated from individual segments of EEG signals that correspond with various sleep stages. Based on the analysis it decides which EEG parameters are appropriate for the automatic detection of the phases and which method is more suitable for evaluation of data in hypnogram. The programme MATLAB was used for the analysis and also for the comparison of chosen data.
Scanning a analysing of heart electrical activity and blood pressure before and after the load
Vích, Daniel ; Kolářová, Jana (referee) ; Kratochvíla, Jiří (advisor)
The aim of bachelor’s thesis is familiarization with anatomy and physiology of heart, with setting to electrical activity, scanning EKG before and after the load with Biopac system, scanning of blood pressure before and after the load with auscultation, statistical analysis of acquired data and presentation of measured data in graphical interface Guide of Matlab system. According to the protocol of measurement, scanning of heart electrical activity with the Biopac system, and scanning of blood pressure, with auscultation, was realized before and after the load. Measured data was statistically analyzed with t-test to verify hypothesis, that there is an influence of the load on the watched parameters, and to show the process of statistical verification. Application of this method assumes normal distribution of data, that’s why data was at first tested by Chi-squared and Kolmogorov-Smirnov test to verify their normal distribution. In the next step data was imported into Matlab system. The presentation of measured data is realized in graphic interface Guide. The program contains time domain and spectral analysis, automatic detection of heart rate and analysis of heart rate variability.

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