Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Design and Implementation Low-Power Device for Non-Invasive Blood Glucose

Version 1 : Received: 9 May 2024 / Approved: 10 May 2024 / Online: 10 May 2024 (20:06:26 CEST)

How to cite: Pires, L. M.; Martins, J. Design and Implementation Low-Power Device for Non-Invasive Blood Glucose. Preprints 2024, 2024050702. https://doi.org/10.20944/preprints202405.0702.v1 Pires, L. M.; Martins, J. Design and Implementation Low-Power Device for Non-Invasive Blood Glucose. Preprints 2024, 2024050702. https://doi.org/10.20944/preprints202405.0702.v1

Abstract

Glucose is a simple sugar molecule. The sugar molecule is chemically symbolised as C6H12O6. This means that the glucose molecule contains 6 carbon atoms (C), 12 hydrogen atoms (H) and 6 oxygen atoms (O). In human blood, the molecule glucose circulates as blood sugar. Normally after eating or drinking, our body breaks down the sugars in food and uses them to obtain energy for our cells. To do this, our pancreas produces insulin. Insulin "pulls" sugar from the blood and puts it into the cells for use. If someone has diabetes, their pancreas can't produce enough insulin. As a result, the level of glucose in the blood rises. This can lead one to many potential complications, including blindness, disease, nerve damage, amputation, stroke, heart attack and damage to blood vessels etc. In this study, a non-invasive method for monitoring blood glucose has been developed and is therefore easily usable. The device developed can measure the glucose level continuously and eliminates the disadvantages of the invasive system. Near-IR sensors (optical sensors) were used to estimate the concentration of glucose in the blood; these sensors have a wavelength of 940 nm. The sensor is placed on the tip of the finger and the output of the optical sensor is then connected to the microcontroller at the analogue input. Another sensor used, but only to provide more medical information was the heartbeat sensor. After processing and regression analysis, the glucose level is predicted, and data is sent via the Bluetooth network to a developed APP. The results of the implemented device were compared with available invasive methods. The study consists of a hardware platform inserted into an armband and then a small black parallelepiped-shaped box in which the optical sensors are inserted. The hardware consists of a microcontroller, a Near-IR optical sensor, a heartbeat sensor and a Bluetooth module.

Keywords

Blood glucose monitoring; Embedded systems; Heartbeat sensor; Near-IR sensors

Subject

Engineering, Bioengineering

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