Processing blood glucose measurements of type 1 diabetic patients for artificial pancreas framework

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Supervisor:
Dr. Kovács Levente
Department of Control Engineering and Information Technology

The diabetes mellitus is regarded by the World Health Organization (WHO) as one of the most widespread disease of the future, therefore particular attention should be paid to the research of this disease. The development of modern technology can give so kind of tools into the hands of the doctors, which are be able revolutionize the treatment of diabetes mellitus, keep blood sugar levels of the patients within normal range, keep the healthy living conditions of the patients on a good, normal level.

The connection of the medical and the technical disciplines allows the creation of an artificial pancreas, which can detect the patient's blood glucose level for the integrated control algorithm, which can be used to calculate and add to the patient the necessary amount of insulin, because the patient's body is unable to provide it for himself. So the people’s life, suffering from type 1 diabetes, especially children, becomes easier and safer, because the artificial pancreas with the algorithm determines the required amount of insulin, reducing the potential of health damage caused by human errors, even coma or death risk.

In my thesis, I made the processing of real-patient blood glucose values for that artificial pancreas control system. The real clinical data makes is possible for the algorithm to determine as accurately as possible, but at the sime time generally, the necessary insulin input. The data processing and the development of a suitable data format for the simulator is made in Matlab environment, including debug modules for the test. In addition, I prepared a script too, wich can make the statistical processing of the input and output data of the simulator, which allows n fast way to test the effectiveness of the control algorithm.

In my thesis, the patient’s anonymity is handled with care.

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