Verification of Non-invasive Blood Glucose Measurement Based on Pulse Wave by FBG Sensor System

Abstract

In order to grasp the biological information on a daily basis, more detailed information can be obtained as the number of measurements increases. In blood glucose level measurement, it is necessary to reduce the burden on the subject in order to increase the number of measurements, and non-invasive measurement is required. We measured the strain of the radial artery using the Fiber Bragg Grating (FBG) sensor, which is an optical fiber type strain sensor. The FBG sensor was a non-invasive measurement method that could measure strain signals simply by installing it on the surface of the living body on the radial artery. This strain signal was continuously measured by the developed wearable FBG sensor system. This study was conducted on a total of 9 subjects, 7 males and 2 females. A calibration model for calculating blood glucose level was constructed by Partial Least Squares (PLS) regression analysis using the signal waveforms measured by 7 subjects. The data of the remaining two subjects were substituted into the calibration model to calculate the predicted blood glucose level. The blood glucose level prediction accuracy was 19mg/dl, and all Error Grid Analysis (EGA) results were plotted in the A or B zone. The data of these two subjects were measured continuously, it was possible to show the transition of blood glucose level. Therefore, it was shown that the transition of the blood glucose level of the subject whose blood glucose level calculation calibration model has no data can be calculated from the signals continuously measured by the portable FBG sensor system.