ABSTRACT
Diabetes is a condition where the body is incapable of proper utilization of glucose and one that, if not properly managed, can lead to critical illness. Glucose monitoring and decision support is vital in avoiding potential adverse health effects. Current methods mainly involve invasive blood extraction for the purposes of blood glucose level notification, yet such methods rely on active user participation and subjective interpretation of the result. This paper reviews existing research in methods of extraction and monitoring of glucose levels. The purpose of this paper is to examine blood glucose extraction methods in addition to indicators of blood glucose level, toward development of an innovative, non-invasive extraction technology. Decision support methods are also analyzed toward customized, automated, and intelligent diabetic management.
