Monte Carlo simulation on the effect of dermal thickness variances on noninvasive blood glucose sensing

Near-infrared spectroscopy(NIRs) is an ideal measurement method for noninvasive blood glucose sensing. In that measuring process, the light propagation path in skin tissue would affect the final near-infrared spectrum greatly. In this talk, the Monte Carlo simulation has been conducted to investigate the effect of dermal thickness variances on blood glucose sensing results at earlobe site. Results demonstrate that the floating reference point exists in the finite five-layered thickness skin model, and the variation of floating reference point under the dermal thickness change is simulated. It is indicated that in the dermal thickness increasing process, there is a rising trend of the floating reference point at each wavelength. It will lay a solid foundation for the further design of an advanced blood glucose detection probe to facilitate the application of NIRs to noninvasive blood glucose sensing eventually.