Back close

Non-invasive Detection of Glucose using Planar RF Sensors

Dept/Center/Lab: Amrita Center for Wireless Networks and Applications (AWNA)

Non-invasive Detection of Glucose using Planar RF Sensors

Non-invasive glucose detection using planar RF (radio frequency) prototypes is a promising approach that leverages RF technology to monitor blood glucose levels without the need for blood samples. This method involves using RF signals to detect glucose concentration changes in the interstitial fluid under the skin.  Glucose levels influence the dielectric properties of body tissues, such as permittivity and conductivity. By measuring these changes, RF sensors can estimate glucose concentration.

Name of Staff and Students from Amrita : Ms Meenu L, Ms Bhuvana Nair S

Publication Details

  1. Aiswarya, S., Meenu, L., Menon, S. K., & Menon, K. U. (2022, December). Analysis and Validation of Planar Microwave Diagonal Stub Loaded Closed Loop Resonator for Glucose Monitoring. In 2022 URSI Regional Conference on Radio Science (USRI-RCRS) (pp. 1-4). IEEE.
  2. Aiswarya, S., S. Bhuvana Nair, L. Meenu, and Sreedevi K. Menon. “Analysis and design of stub loaded closed loop microstrip line filter for Wi-Fi applications.” In 2019 Sixteenth International Conference on Wireless and Optical Communication Networks (WOCN), pp. 1-5. IEEE, 2019.

Related Projects

Indigenous Development of Functionally-graded Aluminium Metal Matrix Composites using Centrifugal Casting Method and to Investigate the Mechanical and Tribological Properties
Indigenous Development of Functionally-graded Aluminium Metal Matrix Composites using Centrifugal Casting Method and to Investigate the Mechanical and Tribological Properties
Amrita COVID-19 response
Amrita COVID-19 response
Development of mm Wave Antennas for 5G Communications
Development of mm Wave Antennas for 5G Communications
Modulation of MicroRNA and Transcriptional Regulation of MMP-2 by Natural Products in Human Breast Cancer Cells
Modulation of MicroRNA and Transcriptional Regulation of MMP-2 by Natural Products in Human Breast Cancer Cells
Smart Geophone IoT System for Landslide Detection
Smart Geophone IoT System for Landslide Detection
Admissions Apply Now