The data were collected from the patients on a daily basis. The data contained information on the patients’ personal details as well as their medical profile such as pathology, biochemistry, and lipid profile along with the corresponding developed system sensor outputs. Further analysis was done

using these data. The blood samples were collected twice the time of examining the patients in fasting and post parandial conditions. The experiments were carried out on the index finger of the patients Inhibitors,research,lifescience,medical at a room temperature of 32±5°C. In each case, the arm was strapped in the horizontal position (at heart level) by a special arrangement to minimize any Inhibitors,research,lifescience,medical kind of movement. The probe was not in direct contact with the skin, in order to enhance the air flow and to prevent humidity condensation which could possibly modify the skin’s optical properties and microcirculations. Once the probe is applied, the power spectra were recorded to detect any difference in frequency and amplitude Inhibitors,research,lifescience,medical response. The measurements were repeated at least twice for each patient in order to check the reproducibility of the method. The time duration between

the two records was one minute. Preparing Data to Implement Neural Network Techniques The decomposed outputs are classified into several groups as follows: group I: 0-150 mg/dl, group II: 151-250 mg/dl, group III: 251-350 mg/dl, group

IV: 351-450 mg/dl, and group V: ≥451 mg/dl. The prediction of blood glucose concentration was done using back propagation network (BPN) with gradient Inhibitors,research,lifescience,medical descent algorithm and radial basis function (RBF),9 with extreme learning machine. Proving the Validation Using Six Sigma Concept A Protein Tyrosine Kinase inhibitor statistical analysis chart for continuous real time process of human blood flow is used for the verification. Results The feasibility of the laser system technique in measuring peripheral blood glucose concentration has been reported in this present investigation. We focused on Inhibitors,research,lifescience,medical successful clinical utilization. Of the 750 patients with DM, 457 (61%) Selleck PI103 were females. Table 1 displays the statistical details of the clinical baseline characteristics of the sampled patients. Table 1 Mean (±SD) of the clinical baseline characteristics of the patients with DM This study predicts the blood glucose concentration in the peripheral blood by using developed laser system. As demonstrated in table 2, the transillumination profiles of some subjects were taken randomly and verified with the help of coefficient of variation (CV) between the blood glucose concentration and transilluminated voltage. The CV is the ratio of the standard deviation σ and the mean µ, computed to measure the precision for the dispersion of data sets on ratio scale.