Analýza PSG u spánkové obrny
Analysis of PSG in sleep paralysis
Typ dokumentu
bakalářská prácebachelor thesis
Autor
Vladyslav Isaienko
Vedoucí práce
Piorecký Marek
Oponent práce
Gerla Václav
Studijní obor
Biomedicínský technikStudijní program
Biomedicínská a klinická technikaInstituce přidělující hodnost
katedra biomedicínské technikyPráva
A university thesis is a work protected by the Copyright Act. Extracts, copies and transcripts of the thesis are allowed for personal use only and at one?s own expense. The use of thesis should be in compliance with the Copyright Act http://www.mkcr.cz/assets/autorske-pravo/01-3982006.pdf and the citation ethics http://knihovny.cvut.cz/vychova/vskp.htmlVysokoškolská závěrečná práce je dílo chráněné autorským zákonem. Je možné pořizovat z něj na své náklady a pro svoji osobní potřebu výpisy, opisy a rozmnoženiny. Jeho využití musí být v souladu s autorským zákonem http://www.mkcr.cz/assets/autorske-pravo/01-3982006.pdf a citační etikou http://knihovny.cvut.cz/vychova/vskp.html
Metadata
Zobrazit celý záznamAbstrakt
Sleep paralysis is a common type of sleep disorder that can be characterized by a feeling of paralysis of the whole body and at the same time perception of the environment as awake. This unusual pathology could transmit the negative impact of sleep on a person's natural rhythm when awake. Sleep paralysis could cause disorders of both physical and mental health. To date, there have been insufficient objective studies to record and evaluate this disorder. This project aims to propose a methodology that finds the spectral characteristics of sleep paralysis from a data set of 19 patients with sleep paralysis. The methodology was proposed in the programming language Python and the MATLAB environment. For the methodology implementations the "MNE-Python", "FieldTrip", "NumPy" and "SciPy" signal libraries were utilized. The methodology includes signal preprocessing by analogue and digital filtering, spectral and statistical data analysis. A quantitative comparison of the analyzed results was performed with a control group of individuals without sleep paralysis. The EEG analysis output of the work is the specific nature of sleep paralysis in the NREM2 phase of sleep with predominant theta activity. The ECG analysis resulted in the specific time and frequency domain parameters. Time-domain parameters did not have any significant difference in the statistical comparison between patients with sleep paralysis and the control group. Frequency-domain parameters of heart rate variability displayed no correlation with distress values in patients with sleep paralysis. Thus, the relationship between distress and sleep paralysis displayed no physiological characteristics that would support the theory about the negative impact of sleep paralysis on sleep beyond the occurrence of a sleep paralysis episode during the night. Sleep paralysis is a common type of sleep disorder that can be characterized by a feeling of paralysis of the whole body and at the same time perception of the environment as awake. This unusual pathology could transmit the negative impact of sleep on a person's natural rhythm when awake. Sleep paralysis could cause disorders of both physical and mental health. To date, there have been insufficient objective studies to record and evaluate this disorder. This project aims to propose a methodology that finds the spectral characteristics of sleep paralysis from a data set of 19 patients with sleep paralysis. The methodology was proposed in the programming language Python and the MATLAB environment. For the methodology implementations the "MNE-Python", "FieldTrip", "NumPy" and "SciPy" signal libraries were utilized. The methodology includes signal preprocessing by analogue and digital filtering, spectral and statistical data analysis. A quantitative comparison of the analyzed results was performed with a control group of individuals without sleep paralysis. The EEG analysis output of the work is the specific nature of sleep paralysis in the NREM2 phase of sleep with predominant theta activity. The ECG analysis resulted in the specific time and frequency domain parameters. Time-domain parameters did not have any significant difference in the statistical comparison between patients with sleep paralysis and the control group. Frequency-domain parameters of heart rate variability displayed no correlation with distress values in patients with sleep paralysis. Thus, the relationship between distress and sleep paralysis displayed no physiological characteristics that would support the theory about the negative impact of sleep paralysis on sleep beyond the occurrence of a sleep paralysis episode during the night.
Kolekce
- Bakalářské práce - 17110 [869]
Související záznamy
Zobrazují se záznamy příbuzné na základě názvu, autora a předmětu.
-
Faktorová analýza časových řad jako nástroj pro analýzu spekter z časově rozlišené laserem indukované spektrometrie
Autor: Višňák Jakub; Vedoucí práce: Vetešník Aleš
(České vysoké učení technické v Praze. Vypočetní a informační centrum., 2011-10-14) -
Analýza a návrh informačního systému pro měření a analýzu motivace na pracovišti
Autor: Roch Michal; Vedoucí práce: Náplava Pavel; Oponent práce: Hronza Radek
(České vysoké učení technické v Praze. Vypočetní a informační centrum., 2014-06-27) -
Shear Analysis of Penta Building after 27F Earthquake
Autor: Perez De las Penas Rodrigo A.; Vedoucí práce: Štemberk Petr
(České vysoké učení technické v Praze. Vypočetní a informační centrum., 2013-01-30)