Optimized algorithm of dermis detection for glucose blood monitoring based on optical coherence tomography

Abstract

Optical coherence tomography (OCT) is a noninvasive imaging technology. It is one of several approaches bases for developing noninvasive blood glucose meter. OCT systems offers advantages in signal to noise ratio, high resolution and good depth of penetration. The OCT technique is based on the measurement of changes induced by glucose in the optical properties of the dermis skin layer. Blood glucose concentration in the dermis layer of skin is correlated with OCT signal slope, which is obtained by the linear fit of OCT signal by averaging over the depth of a 2D OCT image. However, it takes find the area where the OCT signal is linear and undergoes minimal alterations. We use an algorithm to determine the useful range in the dermis used for highly efficient glucose monitoring.