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Non-Invasive Monitoring of Glucose Level Changes Utilizing a mm-Wave Radar System

Non-Invasive Monitoring of Glucose Level Changes Utilizing a mm-Wave Radar System

George Shaker, Karly Smith, Ala Eldin Omer, Shuo Liu, Clement Csech, Udeshaya Wadhwa, Safieddin Safavi-Naeini, Richard Hughson
Copyright: © 2018 |Volume: 10 |Issue: 3 |Pages: 20
ISSN: 1942-390X|EISSN: 1942-3918|EISBN13: 9781522544128|DOI: 10.4018/IJMHCI.2018070102
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MLA

Shaker, George, et al. "Non-Invasive Monitoring of Glucose Level Changes Utilizing a mm-Wave Radar System." IJMHCI vol.10, no.3 2018: pp.10-29. http://doi.org/10.4018/IJMHCI.2018070102

APA

Shaker, G., Smith, K., Omer, A. E., Liu, S., Csech, C., Wadhwa, U., Safavi-Naeini, S., & Hughson, R. (2018). Non-Invasive Monitoring of Glucose Level Changes Utilizing a mm-Wave Radar System. International Journal of Mobile Human Computer Interaction (IJMHCI), 10(3), 10-29. http://doi.org/10.4018/IJMHCI.2018070102

Chicago

Shaker, George, et al. "Non-Invasive Monitoring of Glucose Level Changes Utilizing a mm-Wave Radar System," International Journal of Mobile Human Computer Interaction (IJMHCI) 10, no.3: 10-29. http://doi.org/10.4018/IJMHCI.2018070102

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Abstract

This article discusses recent developments in the authors' experiments using Google's Soli alpha kit to develop a non-invasive blood glucose detection system. The Soli system (co-developed by Google and Infineon) is a 60 GHz mm-wave radar that promises a small, mobile, and wearable platform intended for gesture recognition. They have retrofitted the setup for the system and their experiments outline a proof-of-concept prototype to detect changes of the dielectric properties of solutions with different levels of glucose and distinguish between different concentrations. Preliminary results indicated that mm-waves are suitable for glucose detection among biological mediums at concentrations similar to blood glucose concentrations of diabetic patients. The authors discuss improving the repeatability and scalability of the system, other systems of glucose detection, and potential user constraints of implementation.

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