Year: 2023 | Month: October | Volume: 13 | Issue: 10 | Pages: 69-73
DOI: https://doi.org/10.52403/ijhsr.20231009
Non-Invasive Glucose Monitoring Device
Dr. V. Dooslin Mercy Bai1, Krithina P D2, Manimaran P3, Elavarasan S4, Sowbarnicka M5
1,2,3,4,5Department of Biomedical Engineering, Sri Shakthi Institute of Engineering and Technology, Tamil Nadu, India
Corresponding Author: Dr. V. Dooslin Mercy Bai
ABSTRACT
A non-invasive blood glucose monitoring system is a new technology for people with diabetes. These devices do not require blood or other invasive methods to measure blood glucose. They are designed to give patients a safe and accurate way to monitor their blood glucose. Non-invasive blood glucose monitoring devices measure blood glucose using transdermal sensors placed on the skin. These sensors transmit data to the monitor, allowing the patient to monitor their glucose levels in real time. The accuracy of this method has been shown to be similar to that of analytical glucose testing methods. Infrared sensor and Arduino UNO are the components used in this device that provides natural solution for non-invasive glucose monitoring. An innovative way to accurately monitor blood glucose levels without any intervention is to connect the sensor to an Arduino. To determine if there is glucose in the blood, the system uses an infrared sensor. Then, this data is sent to the Arduino microcontroller for real-time processing and display. The system is designed to be easy to use and requires no user intervention. It also provides an affordable solution to the problem of blood glucose monitoring, making it a desirable option for both patients and health professionals. The device provides an effective and economical solution for monitoring blood glucose. In addition to storing and receiving data from a secure database, Arduino is used to process sensor signals. The system is designed to provide continuous monitoring of the user's blood glucose levels. This system can be used to alert the operator of any changes in blood glucose levels and to provide the patient with the information he or she needs to better manage his or her condition.
Key words: Blood – Glucose Monitoring, Real-Time processing, IR sensor.