Optical Sensor Based Continuous Blood Glucose Estimation Using Lightweight Distributed Architecture

Diabetes is a non-communicable disease and people face many health issues due to diabetes. Worldwide, more than 500 million people have diabetes today. Currently, most devices measure blood glucose levels from a person’s blood, collected by pricking a fingertip. It is necessary for people with Type-...

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Bibliographic Details
Published in:SN computer science 2024-10, Vol.5 (8), p.973, Article 973
Main Authors: Lad, Ketan, Joshi, Maulin, Joshi, Amit
Format: Article
Language:English
Subjects:
Accuracy
Algorithms
Blood
Blood pressure
Computer Imaging
Computer Science
Computer Systems Organization and Communication Networks
Data Structures and Information Theory
Diabetes
Emerging Applications of Cyber-Physical System
Error analysis
Glucose
Glucose monitoring
Information Systems and Communication Service
Infrared radiation
Insulin
Laboratories
Lightweight
Measuring instruments
Neural networks
Optical measuring instruments
Original Research
Pancreas
Pattern Recognition and Graphics
Root-mean-square errors
Sensors
Skin
Software Engineering/Programming and Operating Systems
Spectrum analysis
Vision
Weight reduction
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Summary:Diabetes is a non-communicable disease and people face many health issues due to diabetes. Worldwide, more than 500 million people have diabetes today. Currently, most devices measure blood glucose levels from a person’s blood, collected by pricking a fingertip. It is necessary for people with Type-1 diabetes to regularly check their blood glucose levels to prevent major health issues. Several times pricking a fingertip in a day feels very painful. This situation increases the demand for non-invasive blood glucose measurement devices, and a certain amount of research has been reported in recent years. This paper proposes a less complex, near infrared-based non-invasive device that measures glucose level continuously with higher accuracy. This paper also proposes a lightweight distributed architecture that utilizes the readings of the proposed device to estimate blood glucose level. The proposed architecture is validated using root mean square error (RMSE), mean absolute difference (MAD), and mean absolute relative difference (mARD) which are calculated as 6.08 mg/dL, 1.79 mg/dL, and 1.51%, respectively.
ISSN:2661-8907
2662-995X
2661-8907
DOI:10.1007/s42979-024-03318-x