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Publication Type : Conference Paper
Thematic Areas : Wireless Network and Application
Publisher : In 2020 IEEE Region 10 Symposium (TENSYMP), pp. 1652-1655. IEEE.
Source : In 2020 IEEE Region 10 Symposium (TENSYMP), pp. 1652-1655. IEEE, 2020.
Campus : Amritapuri
School : School of Engineering
Center : Amrita Center for Wireless Networks and Applications (AmritaWNA)
Department : Wireless Networks and Applications (AWNA)
Verified : Yes
Year : 2020
Abstract : Millions of people around the world are affected with diabetes and it is increasing day by day. Non invasive mode of glucose monitoring based on Near infrared (IR) spectroscopy using photoplethysmograph is a promising idea for frequent glucose monitoring and thereby decreasing the risk of diabetic complications. Present non invasive devices in the market are calibrated devices and are very costly. Also they have not looked at the diabetic correlation between IR and Red photoplethys-mography (PPG) signals. In this paper we have developed a glucose prediction algorithm for a non-calibrated non-invasive device that uses PPG signals for getting diabetic correlation. For this we studied the correlation of IR and Red signals with blood glucose and analysed its trend. We compared average amplitude as well as peak amplitude of IR and R signals using a dataset of 172 patients. Our results demonstrate that the current PPG device precision may not be able to pick up the minute variations in the amplitude caused by the change in blood glucose levels, and hence a more precise approach may be required.
Cite this Research Publication : Sruthi N. Nampoothiri, Rahul Krishnan Pathinarupothi, ManeeshaVinodini Ramesh, and KA Unnikrishna Menon."Comparison of Infrared and Red Photoplethysmography signals for Non-calibrated Non-invasive Blood Glucose Monitoring "In 2020 IEEE Region 10 Symposium (TENSYMP), pp. 1652-1655. IEEE, 2020.