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Evaluation of Biological Efficiency of Pilot Installation of Biodynamic Lighting in a Retirement Home
Halászová, Andrea ; Bendová, Zdeňka (advisor) ; Jelínková, Dana (referee)
Many actions we observe in nature show some kind of regularity, therefore we call them rhytms. Rhytms with a period of approximately 24 hours, so called circadian rhytms, can be distinguished in many physiological processes, with the sleep-wake cycle being one of the most prominent ones. Light is the main exogenous circadian synchronizator and thanks to the circadian rhytm influence on physiological function, it's also often spoken about an influence of light on the entire organism. Nowadays, when we spend most of the day indoors under artificial light, we often suffer from a lack of natural daylight and its synchronizing potential. This is even more prominent in elderly population living in nursing homes and in other social facilities. Lately, a new type of lighting, so called biodynamic, has been introduced. Biodynamic lighting can simulate changes in natural light conditions throughout the day and therefore partially compensate for the lack of natural daylight we suffer from, and also minimize risks of the night light. In this study we aimed to test changes in the circadian system of seniors living in the Retirement Home of TGM in Beroun using questionnaires and circadian markers. We have shown a positive effect of the installed biodynamic lighting on our participants' circadian markers and...
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Correction of posture and its effect on quality of sleep
Jašeková, Nikola ; Kejhová, Eva (advisor) ; Jeníček, Jakub (referee)
BACHELOR THESIS ABSTRACT Author: Nikola Jašeková Supervisor: Ing. Eva Kejhová Title: Correction of posture and its effect on quality of sleep Abstract: This bachelor thesis examines the issue of insufficient sleep quality amongst university students. It also explores the possibilities for its improvement by postural correction during the activities of everyday life. The bachelor thesis is composed of a theoretical and a practical part. The theoretical part can be further subdivided into two thematic units. They are sleep and posture. The first theoretical unit includes the definition of sleep and sleep quality, detailed description of architecture, processes of regulation and meaning of sleep and lastly, it speaks about the factors that influence sleep and methods to assess it. The second theoretical part deals with the definition of posture and postural functions together with the idea of optimal and bad posture. The issue of bad posture is further appended by the current knowledge of its causations, consequences, prevention, and therapy. As for the practical part, it includes 3 case reports of university students with poor sleep quality and bad posture. The probands take part in a 4week therapy unit in which they obtain instructions about the correction of their posture during the activities of everyday...
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Identification Of Sleep/Wake Stages In Actigraphy Data Utilising Gradient Boosting Algorithm
Mikulec, Marek
Sleep disorders are early markers of various serious diseases that can be treated moreeffectively when diagnosed in their prodromal stage. Actigraphy is a noninvasive sleep monitoringmethod for the detection of sleep patterns and determination of sleep parameters that could support thediagnosis of these disorders. This study aims to compare a newly proposed actigraphy-based methodof sleep/wake detection with a conventional one in terms of consistency with a polysomnography(PSG) reference. 55 recordings (acquired in 28 subjects) of actigraphy and PSG were modelled by aheuristics-based method and by a new approach utilising a gradient boosting algorithm. In addition,another database (22 subjects, 150 recordings) was used to compare scores of the new method withdata reported in sleep diaries. The proposed method achieves 89% accuracy and Mathews correlationcoefficient equal to 0.75 when compared to the polysomnography reference. Such results outperformthe ones provided by the heuristic technique. The newly proposed method has good consistency withthe PSG reference, thus being a good alternative to the golden standard in sleep disorders assessment,especially in decentralised clinical trials.
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Automated diagnosis of sleep disorders using wearable devices
Sigmund, Jan ; Mekyska, Jiří (referee) ; Mikulec, Marek (advisor)
Sleep disorders induce many negative repercussions. Furthermore, research about their connection to cognitive health is increasing in numbers. This thesis concerns detection of poor sleep quality via raw actigraphy data. Existing method for assessing sleep was selected, it’s performance was validated against polysomnography on 27 patients. Used algorithm defines sleep as the absence of change in arm angle. Resulting 81 % sensitivity, 62 % specificity and 78 % accuracy is different from the outcome in the pilot study. Two approaches, to determine sleep quality were used. Both are based on comparing sleep features – first, with National Sleep Foundation recommendations and second, with control group without sleep disorders (7 persons). The goal was to pinpoint the remaining 19 patients with diagnosis. The recommendation for SOL, WASO, NA>5 and SE had higher sensitivity (75 %), lower specificity (71 %) and identical accuracy (74 %). These approaches were then also tested on 7-day actigraphy, consisting of 27 subjects, that are presumed to have prodromal dementia with Lewy bodies. Same principle was applied to try to predict LBD and thereby address the link between sleep quality and neurodegeneration. This resulted in 86 % sensitivity, 38 % specificity and 63 % accuracy. With regard to achieving solid sensitivity in all cases and good accuracy this could be used to indicate sleep quality.
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System of secured actigraph data transfer and processing
Mikulec, Marek ; Galáž, Zoltán (referee) ; Mekyska, Jiří (advisor)
The new Health 4.0 concept brings the idea of combining modern technologies from field of science and technology with research in healthcare and medicine. This work realizes a system of secured actigraph data transfer and preprocessing based on the concept of Health 4.0. The system is successfully designed, implemented, tested and secured. With the help of a non-invasive method of monitoring the movement and temperature of the subject using the GENEActiv actigraph allows the system to securely transfer, process and evaluate the subject's sleep data using the machine learning algorithm XGBoost. The proposed system is in accordance with the valid law of the Czech Republic and meets legal requirements.
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Application of psychophysiological methods in the study of bipolar disorder
Jindrová, Miroslava ; Telenský, Petr (advisor) ; Buchtová, Helena (referee)
Psychophysiological research of bipolar disorder reveals physiological correlates of each episode of the disorder. Neuroimaging methods come with findings of abnormal brain corticolimbic activity, deficit in cognitive functioning, including senzorimotor processes, and dysregulation in balance of sympathetic and parasympathetic activity. Differences are observed in bipolar disorder type I and type II and also in gender of patients. Knowledge about physiological processes may be enforced in treatment and therapy of bipolar disorder, including biofeedback. Powered by TCPDF (www.tcpdf.org)
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Zlepšování učinnosti prevence v telemedicíně
Nálevka, Petr ; Svátek, Vojtěch (advisor) ; Berka, Petr (referee) ; Štěpánková, Olga (referee) ; Šárek, Milan (referee)
This thesis employs data-mining techniques and modern information and communication technology to develop methods which may improve efficiency of prevention oriented telemedical programs. In particular this thesis uses the ITAREPS program as a case study and demonstrates that an extension of the program based on the proposed methods may significantly improve the program's efficiency. ITAREPS itself is a state of the art telemedical program operating since 2006. It has been deployed in 8 different countries around the world, and solely in the Czech republic it helped prevent schizophrenic relapse in over 400 participating patients. Outcomes of this thesis are widely applicable not just to schizophrenic patients but also to other psychotic or non-psychotic diseases which follow a relapsing path and satisfy certain preconditions defined in this thesis. Two main areas of improvement are proposed. First, this thesis studies various temporal data-mining methods to improve relapse prediction efficiency based on diagnostic data history. Second, latest telecommunication technologies are used in order to improve quality of the gathered diagnostic data directly at the source.
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