iGLU: An Intelligent Device for Accurate Noninvasive Blood Glucose-Level Monitoring in Smart Healthcare

TLDR

Fingertip pricking for glucose measurement is inconvenient, and invasive methods increase infection risk. The study introduces a novel IoMT‑enabled edge device for precise, noninvasive blood glucose measurement. The device, iGLU, uses near‑infrared spectroscopy coupled with a high‑accuracy machine‑learning model. Validation in a hospital showed that iGLU accurately measures glucose and stores readings on an IoMT platform for remote endocrinologist monitoring.

Abstract

In the case of diabetes, fingertip pricking for blood sample is inconvenient for glucose measurement. Invasive approaches like laboratory tests and one touch glucometers enhance the risk of blood related infections. To mitigate this important issue, this article introduces a novel Internet-of-Medical-Things (IoMT) enabled edge-device for precise, noninvasive blood glucose measurement. The device called “Intelligent Glucose Meter” (i.e., iGLU) is based on near-infrared (NIR) spectroscopy and a machine learning model of high accuracy. iGLU has been validated in a hospital and blood glucose values are stored in an IoMT platform for remote monitoring by endocrinologists.