Non – Invasive Blood Glucose Monitoring based on Visible LASER Light

Priya, Lakshmi; Jayalakshmy, S.; Bhuvaneshwar, R.; Kumar, J. Kishore

doi:10.1109/cesys.2018.8724048

Cited by 3 publications

(1 citation statement)

References 21 publications

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“…The work also uses cloud service using a mobile device in as an example of Healthcare IoT for glucose monitoring. Some other works that were reported and used laser diodes are [ 77 , 78 , 79 , 80 ].…”

Section: Photoacoustic Spectroscopymentioning

confidence: 99%

A Concise and Systematic Review on Non-Invasive Glucose Monitoring for Potential Diabetes Management

et al. 2022

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The current standard of diabetes management depends upon the invasive blood pricking techniques. In recent times, the availability of minimally invasive continuous glucose monitoring devices have made some improvements in the life of diabetic patients however it has its own limitations which include painful insertion, excessive cost, discomfort and an active risk due to the presence of a foreign body under the skin. Due to all these factors, the non-invasive glucose monitoring has remain a subject of research for the last two decades and multiple techniques of non-invasive glucose monitoring have been proposed. These proposed techniques have the potential to be evolved into a wearable device for non-invasive diabetes management. This paper reviews research advances and major challenges of such techniques or methods in recent years and broadly classifies them into four types based on their detection principles. These four methods are: optical spectroscopy, photoacoustic spectroscopy, electromagnetic sensing and nanomaterial based sensing. The paper primarily focuses on the evolution of non-invasive technology from bench-top equipment to smart wearable devices for personalized non-invasive continuous glucose monitoring in these four methods. With the rapid evolve of wearable technology, all these four methods of non-invasive blood glucose monitoring independently or in combination of two or more have the potential to become a reality in the near future for efficient, affordable, accurate and pain-free diabetes management.

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