Experimental and probabilistic model validation of ultrasonic MEMS transceiver for blood glucose sensing

Tripathy, H. P., Pattanaik, P., Mishra, D. K., Kamilla, S. K. and Holderbaum, W. ORCID: https://orcid.org/0000-0002-1677-9624 (2022) Experimental and probabilistic model validation of ultrasonic MEMS transceiver for blood glucose sensing. Scientific Reports, 12. 21259. ISSN 2045-2322 doi: 10.1038/s41598-022-25717-x

Abstract/Summary

In contrast to traditional laboratory glucose monitoring, recent developments have focused on blood glucose self-monitoring and providing patients with a self-monitoring device. This paper proposes a system based on ultrasound principles for quantifying glucose levels in blood by conducting an in-vitro experiment with goat blood before human blood. The ultrasonic transceiver is powered by a frequency generator that operates at 40 kHz and 1.6 V, and variations in glucose level affect the ultrasonic transceiver readings. The RVM probabilistic model is used to determine the variation in glucose levels in a blood sample. Blood glucose levels are measured simultaneously using a commercial glucose metre for confirmation. The experimental data values proposed are highly correlated with commercial glucose metre readings. The proposed ultrasonic MEMS-based blood glucometer measures a glucose level of 257±21 mg/dl. In the near future, the miniature version of the experimental model may be useful to human society.

Item Type	Article
URI	https://reading-clone.eprints-hosting.org/id/eprint/109301
Identification Number/DOI	10.1038/s41598-022-25717-x
Refereed	Yes
Divisions	Life Sciences > School of Biological Sciences > Department of Bio-Engineering
Publisher	Nature Publishing Group
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