期刊名称：International Journal on Electrical Engineering and Informatics
印刷版ISSN：2085-6830
出版年度：2018
卷号：10
期号：2
页码：259-270
DOI：10.15676/ijeei.2018.10.2.5
出版社：School of Electrical Engineering and Informatics
摘要：Diabetes Mellitus (DM) is a disease that is characterized by glycemic disorders,including sustained chronic hyperglycemia and acute glucose fluctuations. Because DM isclosely related to the body metabolism, the observation of the blood vessels becomes veryimportant to perform. The observation is done by using the Mean Amplitude of GlycemicExcursion (MAGE). Definitively, MAGE is an important variable to solve clinical DMproblems that contributes in generating oxidative stress related to the macro and microvascularcomplications. MAGE is technically used with continuous blood glucose data whichis obtained by Continuous Glucose Monitoring (CGM). Because of the CGM is expensivefor personal use, it cannot be used in the daily observation. The contribution of this study isthe utilization of discrete data (3 days observation) to be used in MAGE measurement. Thisresearch employs Spline Interpolation technique to convert discrete blood glucose data tocontinuous signal. The validation of interpolated signal is conducted by comparing thepattern of discrete data and continuous signal for both original and clustered data. Theexperiment showed that both scenarios depicted identical pattern. The smallest RMSE wasachieved by Linear Spline with 57.66 while the highest RMSE value was obtained byQuadratic Spline with 177.00.
