Abstract
This paper deals with novel approach for non-invasive glucose monitoring based on NIR spectroscopy. The technique was demonstrated on 300 human serums of different concentrations range of 08-297 mg/dl. In order to compare the proposed approach to a standard one, a regression analysis was performed and used to predict glucose concentration overall range of values. In vitro experiments showed a strong correlation between noninvasively device result and real glucose concentration. The correlation was 0.97 and Clarke error grid analysis showed that 97.33% of the measured fall within the clinically acceptable regions. Results showed that the created model can open a new path to a real-time, painless and a portable device that would well-being the lives of millions of diabetics in the world.
Highlights
Diabetes is considered today the evil of the century
The aim of this paper is to propose a regression predictor model that used near infrared (NIR) spectroscopy for self-monitoring blood glucose levels overall range values
The law relates the blood glucose concentration to the path length of NIR light through human serum
Summary
Diabetes is considered today the evil of the century. In just a few years, diabetes has become an epidemic affecting more than 422 million people worldwide [1]. Diabetes is a chronic disease hither to incurable, caused by a dysfunction of the insulin section. Insulin is produced by the pancreas, its interaction with glucose allow body’s cellular energy. Our body does not produce insulin accurately throughout the day, the importance of insulin to regulate blood sugar levels and assures balance from getting too high or too low [2]. Diabetes is a degenerative disease that without treatment can have very serious consequences, such as blindness, kidney failure and nerve damage. We cite accelerating the hardening and narrowing of the arteries leading to strokes and coronary heart disease and blood vessels [3]
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