  The conventional method of glucose measurement such as pricking blood from
the body is prevalent which brings pain and trauma. Invasive methods of
measurement sometimes raise the risk of blood infection to the patient.
Sometimes, some of the physiological parameters such as body temperature and
systolic blood pressure (SBP) are responsible for blood glucose level
fluctuations. Moreover, diabetes for a long duration usually becomes a critical
issue. In such situation, patients need to consult diabetologist frequently,
which is not possible in normal life. Therefore, it is required to develop
non-invasive glucose balancing paradigm, which measures blood glucose without
pricking blood along with physiological parameters measurement and decision
model. The proposed paradigm helps to doctor, who is even available at remote
location. There will not be any need to consult frequently. In the way of
optimized non-invasive system design, an NIRS technique with specific
wavelengths along with physiological parameters is taken to predict the precise
glucose value. The all parameters (glucose, Blood pressure and body
temperature), food intake and insulin levels are parts of decision model, which
would help to the doctor to take decision related to the further medicine doses
and diet plan. The patients would have suggestions according to maintain their
blood glucose level. The proposed system demonstrated an accurate model with
MARD and AvgE 12.50% and 12.10% respectively using DNN model. Coefficient of
determination R2 has been found 0.97.
