The invention discloses a corneal glucose real-time non-invasive detection
system and method, and belongs to the technical field of glucose real-time non-invasive detection.The method comprises the following steps that
corneal reflection spectrum, tear film thickness change and environment temperature and
humidity data are obtained in real time, and spectrum compensation parameters are generated through a temperature and
humidity compensation model; outputting a tear film
refractive index correction value in combination with a
refractive index correction model, and correcting the
reflection spectrum through a combined correction formula; then, calculating a reference
reflection spectrum and a deviation value based on historical data, extracting statistical characteristics, and fusing confidence to obtain a
confidence factor for adjusting the deviation value; if the deviation exceeds the threshold value, replacing the corrected data with the reference data; and finally, calculating the glucose concentration according to the processed spectrum, and determining the health grade according to a preset comparison table. The high-reliability non-invasive blood glucose health monitoring closed-loop method and
system are constructed through multi-
source data fusion correction, intelligent deviation optimization and a confidence coefficient decision mechanism.