Noninvasive, Intelligent Blood Glucose Monitoring on Fingertip Using Dual-Band Fusion and LSTM-R Network

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...

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Veröffentlicht in:IEEE sensors journal 2024-02, Vol.24 (3), p.3465-3476
Hauptverfasser: Wang, Zengxiang, Xiao, Xia, Pang, Yanwei, Su, Wenling, Kikkawa, Takamaro
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container_issue 3
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container_title IEEE sensors journal
container_volume 24
creator Wang, Zengxiang
Xiao, Xia
Pang, Yanwei
Su, Wenling
Kikkawa, Takamaro
description 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.
doi_str_mv 10.1109/JSEN.2023.3344230
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subjects Antennas
Blood
Error analysis
Glucose
Monitoring
Root-mean-square errors
Ultrawideband
title Noninvasive, Intelligent Blood Glucose Monitoring on Fingertip Using Dual-Band Fusion and LSTM-R Network
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