This paper is published in Volume-11, Issue-2, 2025
Area
Internet Of Things
Author
Sheethal M S, Chandana H S, Adarsh J R, Paramesha H R, Ambika K
Org/Univ
Rajeev Institute of Technology, Hassan, Karnataka, India
Keywords
Non-Invasive glucose monitoring, Near-Infrared spectroscopy, Internet of Things, Wearable health devices
Citations
IEEE
Sheethal M S, Chandana H S, Adarsh J R, Paramesha H R, Ambika K. Non-Invasive Glucometer Using IoT, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.
APA
Sheethal M S, Chandana H S, Adarsh J R, Paramesha H R, Ambika K (2025). Non-Invasive Glucometer Using IoT. International Journal of Advance Research, Ideas and Innovations in Technology, 11(2) www.IJARIIT.com.
MLA
Sheethal M S, Chandana H S, Adarsh J R, Paramesha H R, Ambika K. "Non-Invasive Glucometer Using IoT." International Journal of Advance Research, Ideas and Innovations in Technology 11.2 (2025). www.IJARIIT.com.
Sheethal M S, Chandana H S, Adarsh J R, Paramesha H R, Ambika K. Non-Invasive Glucometer Using IoT, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.
APA
Sheethal M S, Chandana H S, Adarsh J R, Paramesha H R, Ambika K (2025). Non-Invasive Glucometer Using IoT. International Journal of Advance Research, Ideas and Innovations in Technology, 11(2) www.IJARIIT.com.
MLA
Sheethal M S, Chandana H S, Adarsh J R, Paramesha H R, Ambika K. "Non-Invasive Glucometer Using IoT." International Journal of Advance Research, Ideas and Innovations in Technology 11.2 (2025). www.IJARIIT.com.
Abstract
Continuous blood glucose monitoring is necessary for the management of diabetes mellitus, and this is typically accomplished using intrusive finger-prick techniques, which can be uncomfortable and inconvenient. In order to provide real-time, continuous glucose monitoring in an approachable way, this project suggests creating a non-invasive glucometer that is integrated with Internet of Things (IoT) technology. Without taking blood, the system measures glucose levels through the skin using optical sensors like near-infrared (NIR) spectroscopy. After being processed by embedded devices, the measured data is sent over Bluetooth or Wi-Fi to a cloud platform. Through a web dashboard or mobile application, users and healthcare professionals can access the data, enabling trend analysis, alarms, and improved diabetes control.