Κινητά συστήματα παρακολούθησης ασθενών με διαβήτη (Master thesis)

Γόγολος, Γεώργιος


Diabetes mellitus is a chronic metabolic disease that appears suddenly without any discrimination on age or gender. It is a disease known to mankind since ancient times andits name comes from the ancient Greeks. The diabetes symptoms affect thepatient’s life, which in some cases leads to undesired situations and serious complications. According to the World Health Organization (WHO), thediabetic population is expected to reach 340 million by 2030. The global scientific community and the world health organization sound alarm bells.Constant researches and studies show new outcomesregarding the control and treatment of diabetes, offering hope to millions of patients worldwide. This research was conducted,firstly, in the area of the Biomedical Technology and Intelligent Information Systems Laboratory of Materials Science and Engineering Department of Ioannina University and secondly in the area of our city's University Hospital. Patients with type 1 diabetes participated in a monitoring process of the concentration of glucose for 24 hours a dayon a weekly basis for two weeks, in combination with monitoring their physical activity also ona weekly basis.The duration of the measurement procedure was two weeks for each patient. In the first week the patients must refrain from any form of physical exercise while in their second week,they areindicated to exercise daily for at least thirty minutes to an hour per day at alow tempo running or fast walking. The glucose monitoring and the physiological activity monitoring are ensured by means of continuous glucose monitoring devices and physiological activity monitoring devices, respectively. Thus, the ultimate goal of this thesis is to study and draw conclusions about the effect of exercise on glucose levels and variability. In turn, the results could be used in prediction models. The first chapter refers to the physiology of diabetes, the types of diabetes, as well as to the historical data of the scientific community onthis metabolic disorder. The anatomical details of the pancreas are described and in turn the role of glucose in the human body is described too. In the second chapter, a detailed description of glucose sensor is given, regarding the type, operation and technical characteristics. Their utility is also shown in the continuous glucose monitoring and their evolution from the first sensor, of Professor Leland C. Clark, to what will happen in the sensor technologyin the close future is described. In the third chapter, where the main part of the thesis begins,thecharacteristics of the patients who took part in the measurements procedure, the devices that areused in the above process, as well as the protocol which was used and in turn approved by the Scientific Committee of the University Hospital of Ioannina, are presented. The fourth chapter refers to the measures used in the context of data analysis. The fifth chapter presents the results of data processing and statistical data analysis, initially in the form of tables and then in the forms of diagrams. Furthermore,there is reference to the measures used in the correlation process of analyzing the physiological activity signals and concentration of glucose and in turn the results are presented, leading to the final conclusions of this research in Chapter 6. In conclusion, the present study has been prepared in order to present results regarding the correlation of physicalactivity with the glucose concentration. The results are encouraging; there is evidence that physical activity has an effect on the variation of glucose as it tends to limit its values in the desired range between [70 - 140] mg/dl. Future investigation on a wider scale trial could lead to more concrete results. References and bibliography are presented at the end of the thesis to the reader, to consult and seek further information on this work.
Institution and School/Department of submitter: Πανεπιστήμιο Ιωαννίνων. Σχολή Θετικών Επιστημών. Τμήμα Μηχανικών Επιστήμης Υλικών
Subject classification: Διαβήτης
Keywords: Κινητά συστήματα παρακολούθησης ασθενών με διαβήτη,Διαβήτης,Κινητά συστήματα παρακολούθησης ασθενών,Mobile monitoring systems for diabetic patients,Diabetic patients,Diabetes
URI: http://olympias.lib.uoi.gr/jspui/handle/123456789/28048
Appears in Collections:Διατριβές Μεταπτυχιακής Έρευνας (Masters)




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