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

Landslide Early Warning System
Landslide Early Warning System
Development of electro active polymer-based hybrid nano- composite nano generator for biomedical applications 
Development of electro active polymer-based hybrid nano- composite nano generator for biomedical applications 
Oncogene Sensing and Finger Printing from Saliva Using Nanotechnology-enabled Using Raman Spectroscopy
Oncogene Sensing and Finger Printing from Saliva Using Nanotechnology-enabled Using Raman Spectroscopy
Slum Hypertension Project
Slum Hypertension Project
Design of an Integrated System for Monitoring Weather and Traffic Based on Internet of Things
Design of an Integrated System for Monitoring Weather and Traffic Based on Internet of Things
Admissions Apply Now