Research Article
Non-Invasive Blood Glucose Monitoring Using Skin Impedance and Temperature Sensing: A Technological Breakthrough for Diabetes Management
@INPROCEEDINGS{10.4108/eai.28-4-2025.2357990, author={Hema Chandu Dirisala and P. Durgaprasadarao and Kalyani Marthala and Tharun Kumar Dandu and Sai Kumar Chirumamilla}, title={Non-Invasive Blood Glucose Monitoring Using Skin Impedance and Temperature Sensing: A Technological Breakthrough for Diabetes Management}, proceedings={Proceedings of the 4th International Conference on Information Technology, Civil Innovation, Science, and Management, ICITSM 2025, 28-29 April 2025, Tiruchengode, Tamil Nadu, India, Part II}, publisher={EAI}, proceedings_a={ICITSM PART II}, year={2025}, month={10}, keywords={non-invasive glucose monitoring electrical impedance spectroscopy (eis) machine learning diabetes management wearable health technology}, doi={10.4108/eai.28-4-2025.2357990} }- Hema Chandu Dirisala
P. Durgaprasadarao
Kalyani Marthala
Tharun Kumar Dandu
Sai Kumar Chirumamilla
Year: 2025
Non-Invasive Blood Glucose Monitoring Using Skin Impedance and Temperature Sensing: A Technological Breakthrough for Diabetes Management
ICITSM PART II
EAI
DOI: 10.4108/eai.28-4-2025.2357990
Abstract
This study explores a non-invasive, continuous blood glucose monitoring system, addressing the urgent need for accessible diabetes management solutions. Traditional glucose monitors are often invasive and unsuitable for continuous use, whereas the system presented here leverages electrical impedance spectroscopy (EIS) to estimate glucose levels through bio-impedance data collected by ECG electrodes. Using an IC AD5933 impedance converter, this data is processed by a Raspberry Pi, which employs machine learning algorithms to predict glucose levels. Additionally, a DS18B20 temperature sensor adjusts impedance readings for temperature variations and DHT11 temperature sensor for ambient temperature, enhancing accuracy. The system displays results on an LCD screen for real-time monitoring, offering a practical and user- friendly alternative for continuous diabetes care. This approach underscores the potential of wearable EIS-based glucose monitors as innovative, non-invasive solutions for diabetes management.
