Personalized diabetes monitoring platform leveraging IoMT and AI for non-invasive estimation

Author:

Padmavilochanan DurgaORCID,Pathinarupothi Rahul KrishnanORCID,Menon K.A. Unnikrishna,Kumar Harish,Guntha Ramesh,Ramesh Maneesha V.,Rangan P. Venkat

Funder

Science and Engineering Research Board

Publisher

Elsevier BV

Subject

Health Information Management,Computer Science Applications,Health Informatics,Information Systems,Medicine (miscellaneous)

Reference49 articles.

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2. Amrita Spandanam mobile application, . 2022. https://play.google.com/store/apps/details?id=edu.amrita.awna.vitals_monitor. (Last accessed 28 November 2022).

3. ActiPPG: using deep neural networks for activity recognition from wrist-worn photoplethysmography (PPG) sensors;Boukhechba;Smart Health,2019

4. Deep learning in pervasive health monitoring, design goals, applications, and architectures: An overview and a brief synthesis;Boulemtafes;Smart Health,2021

5. Clinical assessment of near-infrared spectroscopy for noninvasive diabetes screening;Brown;Diabetes Technology & Therapeutics,2005

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