Noninvasive, Intelligent Blood Glucose Monitoring on Fingertip Using Dual-Band Fusion and LSTM-R Network
Zengxiang Wang, Xia Xiao, Yanwei Pang, Wenling Su, Takamaro Kikkawa
Abstract
Noninvasive, painless, and continuous monitoring sensing systems are needed to enhance the life quality of the diabetic. In this article, two finger-sized ultrawideband (UWB) antennas are used as detectors of blood glucose level (BGL) sensing system. A dual-band fusion strategy and an improved long short-term memory (LSTM-R) are introduced based on the UWB microwave technique, to overcome the negative effects of antenna miniaturization. The proposed composite end-to-end framework can achieve the high accuracy and robustness of BGL prediction. The safety and reliability of the proposed microwave-based sensor were verified by simulation and experiment. The reported sensing system is validated on the medium under tests (MUT) with different glucose (GO) solutions and human trials. For the measurement of MUT, the testing results achieve a root-mean-squared error (RMSE) of 4.2367 mg/dL and a mean absolute relative difference (MARD) of 2.79%. During human trials, the noninvasive estimation results obtain a low MARD of 5.9% and fall 100% into the clinically acceptable zones by the Clark error grid analysis.