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A Portable Solution to Noninvasive Glucose Sensing with Light

Authors:

Tam Vu,

Xia ZhouAuthors Info & Claims

UbiComp/ISWC '22 Adjunct: Adjunct Proceedings of the 2022 ACM International Joint Conference on Pervasive and Ubiquitous Computing and the 2022 ACM International Symposium on Wearable Computers

Pages 75 - 77

https://doi.org/10.1145/3544793.3560341

Published: 24 April 2023 Publication History

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Abstract

Previous work by Li et al.[5] has shown promising results in sensing blood glucose levels using polarized light. In this paper, we miniaturize the glucose sensing prototype into a portable device. The process of prototype miniaturization has revealed challenges in dealing with specular reflected light caused by multiple reflections within the sensing box. We propose a new structural design that traps the light inside a chamber. Our preliminary results with a single user without diabetes over 5 days showed a 9.5% mean absolute relative difference (MARD). For this participant, 92% of our results are clinically accurate (within Zone A) and the remaining are clinically acceptable (within Zone B) of the Clarke Error Grid.

References

[1]

Shridhara Alva, Timothy Bailey, Ronald Brazg, Erwin S Budiman, Kristin Castorino, Mark P Christiansen, Gregory Forlenza, Mark Kipnes, David R Liljenquist, and Hanqing Liu. 2022. Accuracy of a 14-day factory-calibrated continuous glucose monitoring system with advanced algorithm in pediatric and adult population with diabetes. Journal of Diabetes Science and Technology 16, 1 (2022), 70–77.

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[2]

Md Koushik Chowdhury, S Anuj, S Neeraj, and S Shiru. 2015. Error grid analysis of reference and predicted blood glucose level values as obtained from the normal and prediabetic human volunteer. American Journal of Biomedical Engineering 5, 1 (2015), 6–14.

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[3]

Diabetes Research Institute Foundation. 2020. Diabetes Statistics. https://diabetesresearch.org/diabetes-statistics/ [Accessed: 05 August 2022].

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[4]

Steven L Jacques, Kenneth Lee, and Jessica C Ramella-Roman. 2000. Scattering of polarized light by biological tissues. In Saratov Fall Meeting’99: Optical Technologies in Biophysics and Medicine, Vol. 4001. SPIE, 14–28.

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[5]

Tianxing Li, Derek Bai, Temiloluwa Prioleau, Nam Bui, Tam Vu, and Xia Zhou. 2020. Noninvasive glucose monitoring using polarized light. In Proceedings of the 18th Conference on Embedded Networked Sensor Systems. 544–557.

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Index Terms

A Portable Solution to Noninvasive Glucose Sensing with Light
1. Hardware
  1. Communication hardware, interfaces and storage
    1. Sensor devices and platforms
2. Human-centered computing
  1. Ubiquitous and mobile computing

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UbiComp/ISWC '22 Adjunct: Adjunct Proceedings of the 2022 ACM International Joint Conference on Pervasive and Ubiquitous Computing and the 2022 ACM International Symposium on Wearable Computers

September 2022

538 pages

ISBN:9781450394239

DOI:10.1145/3544793

Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 24 April 2023

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UbiComp/ISWC '22

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UbiComp/ISWC '22: The 2022 ACM International Joint Conference on Pervasive and Ubiquitous Computing

September 11 - 15, 2022

Cambridge, United Kingdom

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Overall Acceptance Rate 764 of 2,912 submissions, 26%

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Noninvasive glucose monitoring using polarized light

Discrete ordinate method for polarized light transport solution and subsurface BRDF computation

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Abstract

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Recommendations

Noninvasive glucose monitoring using polarized light

Discrete ordinate method for polarized light transport solution and subsurface BRDF computation

A Robust Real-Time Algorithm for Enhancing a Noninvasive Fetal Electrocardiogram

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