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Identification of sleep disorders based on actigraphy data and sleep diaries
Molík, Miroslav ; Mekyska, Jiří (referee) ; Mikulec, Marek (advisor)
This master’s thesis deals with prediction of Parkinson's disease using sleep parameters from actigraphy and sleep diaries. The goal is to design a machine learning approach, which will be able to recognize pacients suffering from Parkinson's disease. For training dataset supplied by St. Anne's University Hospital Brno was used, which was variously modified for achieving best possible results. These adjustments were evaluated according to the results of the trained models and based on these results, two models (achieving test accuracies of 85 and 82%) were selected.
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Genetic factors in the etiology of sleep disorders
Dvořáková, Markéta ; Šolc, Roman (advisor) ; Červená, Kateřina (referee)
Sleep disorders are a group of disorders affecting a considerable part of proportion of the human population. Their aetiology is usually very complex and includes environmental and genetic factors. The nature of these disorders is often multifactorial. Sleep medicine and the field of synthesis of its findings with those of modern or classical genetics still offer quite a huge possibilities of research. However, despite many unresponsed questions, it is now possible to summarise the identified confirmed or suspected genes whose mutations are involved in the causes of these disorders. It is possible to estimate the heritability of certain disorders based on their multiple occurrence in families, presence in twins or prevalence in the population across different ethnics. This bachelor thesis focuses on genetic aspects in the etiology of sleep disorders, their heritability, the strength of the genetic component, and genetic links between some of the disorders.
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Sleep and the consequences of its lack on university students
Soukupová, Barbora ; Thorovská, Alena (advisor) ; Zvírotský, Michal (referee)
This bachelor's thesis is called Sleep and the consequences of its lack on university students. The work is divided into two parts. In the theoretical part are mentioned general characteristics of sleep, history, circadian rhythms, phases and meaning of sleep. Furthermore, attention is also paid to selected sleep disorders, possible causes, and finally the consequences that can occur during sleep deprivation. The practical part is carried out with the help of semi-structured interviews with respondents, followed by an analysis of the interviews, a comparison of individual data and a discussion in which the answers to the research questions are summarized and the results compared with the professional literature. The main goal was to find out the consequences of lack of sleep on university students, when it was found that the most common problems are with attention, memory and mood changes, as well as greater susceptibility to diseases. A partial goal investigated the possible causes that contribute to impaired sleep on university students. The research showed that the most common causes were stress and caffeine. Another partial goal was to find out how the quality of sleep subjectively changes in university students during the exam period. The results pointed to a reduction in sleep time, worsening...
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Sleep dynamics analysis using electrophysiological features
Lampert, Frederik ; Janoušek, Oto (referee) ; Mívalt, Filip (advisor)
Táto práca sa zaoberá metódami detekcie spánku pomocou elektrofiziologických príznakov, bez dostupnosti anotácií v podobe hypnogramov. Vyhodnocovanie spánku pomocou polysomnografických (PSG) dát je časovo apersonálne náročný proces, ktorý sa odohráva zväčša vnemocničnom prostredí. Moderné implantabilné zariadenia schopné kontinuálneho snímania azdieľania dát otvárajú možnosť dlhodobého akontinuálneho monitorovania spánkovej aktivity upacientov snurologickými chorobami v domácom prostredí. Súčasné metódy na spánkovú detekciu využívajú intrakraniálne elektroencefalografické (iEEG) spánkové klasifikátory, ktoré sú tvorené a validované na štandardných polysomnografických dátach. Tie však nie sú vždy kdispozícii čo vedie kpotrebe vyvinutia metódy spánkového hodnotenia, ktorá by bola schopná analyzovať spánok pomocou elektrofyziologických príznakov aj bez dostupnosti anotácií v podobe hypnogramov ato obecne z malého počtu zvodov. Za týmto účelom bola navrhnutá metóda spánkového hodnotenia, ktorá vyhodnocuje spánok na základe výkonu elektroencefalografické (EEG) signálu v spektrálnej oblasti pomocou metrík zvaných Power in Band (PIB) metriky. V tejto práci bol analyzovaný výkon vdelta pásme (0,5-4 Hz), keďže EEG signál má vňom najvyššiu amplitúdu azároveň je jeho aktivita najviac výrazná počas N2 aN3 spánkových cyklov, ktoré sú najviac zastúpené vspánku počas noci, takže poskytujú najlepšiu informáciu orozložení spánku počas noci. Scieľom validácie PIB metrík boli taktiež predstavené štandardné metriky založené na hypnogramoch. Tieto metriky boli následne implementované do programovacieho prostredia Python a aplikované na dva voľne dostupné datasety, Dreem Open Dataset-Healthy (DOD-H) a Dreem Open Dataset-Obstructive (DOD-O) obsahujúce polysomnografické merania 25 zdravých jedincov (DOD-H dataset) a56 jedincov so syndrómom spánkového apnoe (OSA)(DOD-O dataset). Výsledky analýz boli vyhodnotené pomocou vizuálnej analýzy vo forme boxplotov, korelačných matíc a štatistických testov. Z výsledkov analýz vyplýva, že navrhnuté PIB metriky majú schopnosť rozlišovať medzi fyziologickým a patofyziologickým spánkom, avšak ich schopnosť rozlišovať niektoré aspekty spánku sa líši od štandardných metrík založených na hypnogramoch. Ztoho vyplýva, že PIB metriky nenahrádzajú štandardné metriky, ale skôr ponúkajú inú perspektívu na analýzu spánku.
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Identification of sleep disorders based on actigraphy data and sleep diaries
Molík, Miroslav ; Mekyska, Jiří (referee) ; Mikulec, Marek (advisor)
This master’s thesis deals with prediction of Parkinson's disease using sleep parameters from actigraphy and sleep diaries. The goal is to design a machine learning approach, which will be able to recognize pacients suffering from Parkinson's disease. For training dataset supplied by St. Anne's University Hospital Brno was used, which was variously modified for achieving best possible results. These adjustments were evaluated according to the results of the trained models and based on these results, two models (achieving test accuracies of 85 and 82%) were selected.
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Irregular working hours members of the IZS and their impact on quality of life
KREJČÍ, Ondřej
This bachelor paper describes influence of irregular working time on human organism and psychic as well as on the quality of life as such. This work focuses on the members of the integrated rescue system. Such people are exposed to enormous mental as well as physical ballast during their shifts. Therefore, this thesis deals with basic, topic related terms such as ballast and stress, biorhythms, sleep, sleeping disorders and specifics of work of integrated rescue system members. This paper sets its goal in finding out if and how the irregular working time, especially in case of the night shifts, effects members of the integrated rescue system with regard to some of their life spheres and whether such disbalance affects quality of life. A questionnaire served as the key data collecting method.
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Sleep disturbances in old age.
VÁLOVÁ, Hana
The topics of the thesis are sleep disturbances concerning old age. Sleep is the basic human need, accompanying our life from pre-natal period to death. It is a natural and essential part of our life; it is of cardinal importance for the comfort of each human being. It is a necessary condition for keeping and maintaining physical and psychical health. The absence of sleep leads to serious disturbances. The sleep and its need are individual; it develops in the course of life, but gradually the number of sleep disturbances increases. In opposition to traditional opinions that an old person needs less sleep, it was found out that the total need of sleep does not change much. The observations proved that some old people sleep more than in their young age. In the theoretical part, sleep, its significance, the need of sleep, particular phases and factors influencing it are defined. Further, the disturbances of sleep, their causes, division and treatment are described. It deals with the sleep of the elderly and the role of a nurse supporting and making good quality sleep during the nursing process. Three objectives were stated. The first was to find out sleep habits of the elderly hospitalized in the Hospital Písek, Inc., the second mapped the disturbances of sleep in the clients-the elderly in the Hospital Písek, Inc. The third found out whether the hospitalized clients-the elderly have good conditions for the inducing of sleep. Three hypotheses were stated. The first: ``Clients have sleep habits``. The second supposed that: ``The most frequents sleep disturbances in clients-the elderly is the early waking up. The third hypothesis: ``Clients-the elderly have good conditions for the inducing of sleep``. Quantitative research was chosen to reach the objectives of the thesis and proving the hypotheses. The data collection was carried out by the method of a questionnaire on clients-the elderly in in-patient wards in the Hospital Písek, Inc. After the elaboration of the research part and following assessment it was found out that the first hypothesis-the presence of sleep habits, and the third hypothesis-good conditions for the inducing of sleep, were proved, but the second hypothesis-early waking up, was disproved. Although the results of the research are relatively optimistic, it is surely important to devote further attention to the problems of sleep disturbances in the elderly because sleep is not that natural and obvious for many of them. The person who does not sleep has not enough power, energy and is not able to manage routine daily activities or resist some illnesses. Problems appear in the individual with sleep disturbances and also in the people who are in contact with this individual.
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