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Optical Sensor Based Continuous Blood Glucose Estimation Using Lightweight Distributed Architecture

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Abstract

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.

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Acknowledgements

We express our sincere gratitude to Svaarogyam Medical Pvt Ltd. for providing a non-invasive device (intelligent glucometer-iGLU) to collect blood glucose readings. We are also very thankful to Shreenath Clinical Laboratory, Valsad, Gujarat, for permitting us to conduct of study at the laboratory and collect all the BG data with other relevant data of participants.

Funding

The author is grateful to Atal Incubation Centre, Banasthali Vidyapith, for providing support through the DST NIDHI Prayas Scheme which helps to conduct the trails.

Author information

Authors and Affiliations

  1. Research Scholar, Gujarat Technological University, Ahmedabad, India

    Ketan Lad

  2. Sarvajanik College of Engineering & Technology, Surat, India

    Maulin Joshi

  3. Malaviya National Institute of Technology, Jaipur, India

    Amit Joshi

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  1. Ketan Lad
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  2. Maulin Joshi
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  3. Amit Joshi
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Contributions

Mr. Ketan Lad did data collection, experimentation and manuscript writing. Dr. Maulin Joshi did planning, conceptualization, analysis and manuscript editing. Dr. Amit Joshi did hardware preparation, discussion and proof reading.

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Correspondence to Ketan Lad.

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This article is part of the topical collection “Emerging Applications of Cyber-Physical System” guest edited by Amit M. Joshi, Geetanjali Sharma, Mohammad Samar Ansari and Thinagaran Perumal.

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Lad, K., Joshi, M. & Joshi, A. Optical Sensor Based Continuous Blood Glucose Estimation Using Lightweight Distributed Architecture. SN COMPUT. SCI. 5, 973 (2024). https://doi.org/10.1007/s42979-024-03318-x

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