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The aim of the Physiological Controls Group of Obuda University is to investigate pathophysiological systems and develop mathematical models in order to create automatic control algorithms or model-based treatment protocols enhancing personalized healthcare possibilities. The presentation deals with the given problem starting with a short introduction on the control of diabetes and then focuses on...
The paper presents the results of a pilot investigation we conducted to explore the suitability of non-dedicated smart gadgets for self-management and daily feed-back in type 2 diabetes. Data were collected with a fitness bracelet from a non-insulin dependent male subject aged 67, over a 14-day period. In parallel, the subject self-monitored his blood glucose with a home test strips glucometer, three...
Mathematical modeling of physiological systems is a fundamental milestone of biomedical engineering. Models allow for the quantitative understanding of the intimate functions of a biological system, estimating parameters that are not accessible to direct measurement and performing in silico trials by simulating and tracking a physiological system in case its function has been deranged. Modeling has...
Hypoglycemia prediction plays an important role for diabetes management. Along with the development of continuous glucose monitoring (CGM) technology, blood glucose prediction becomes possible. Using CGM readings, extreme learning machines (ELM) and regularized ELM (RELM) are implemented in this paper to predict hypoglycemia. Under three different prediction horizons, 10, 20, and 30 min, these two...
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