Prediction of glucose concentration using near infrared light and adaptive linear neuron

Abstract

This study evaluates the relationship between near infrared light and glucose concentration by means of adaptive linear neuron. Firstly, the design and the development of the proposed glucose measurement device are presented. After that, the experiment design of acquiring sufficient near infrared data for training and testing is described. Next, adaptive linear neuron was trained and validated to predict the glucose concentration based on near infrared light. Findings indicate that the proposed glucose measurement approach by means of near infrared light with different wavelengths (i.e. 850nm, 860nm, 870nm, and 950nm) and adaptive linear neuron was capable of achieving RMSEC of 82.24 mg/dL, RMSEP of 70.04 mg/dL, rp of 0.9066, and rc of 0.9068 for a glucose concentration range of between 20 mg/dL and 600 mg/dL when the learning rate of 0.001 and 207 adaptation cycles were used.