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Proceedings Paper

Smart wristband with integrated chemical sensors for detecting glucose levels using breath volatile organic compounds
Author(s): S. Shrestha; C. Harold; M. Boubin; L. Lawrence
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Paper Abstract

This paper presents a microcontroller-based solution to classify blood glucose levels using acetone and ethanol breath volatile organic compounds. Two metal oxide semiconductor-based chemical sensors able to detect acetone and ethanol at parts per million concentrations were used. The sensors were tested in a controlled setup with humidified air spiked with acetone and ethanol, mimicking human breath corresponding to low and high blood glucose groups. A support vector machine algorithm was trained and implemented in a microcontroller. In a real time-time test, the trained algorithm classified low and high blood glucose groups with 97% accuracy. Subsequently, a smart wristband prototype that integrates the two sensors was developed. An Arduino-based wearable microcontroller platform was used for its small formfactor and a low-power operation. The wristband is enclosed in a 3D printed housing and powered by an onboard 3.7 V 500 mAh rechargeable Li-ion battery. A smartphone app communicates with the wristband through Bluetooth, allows data visualization, and saves data in the cloud. The presented work makes a significant contribution towards the development of a wearable device for detecting blood glucose levels from a patient’s breath.

Paper Details

Date Published: 2 May 2019
PDF: 8 pages
Proc. SPIE 11020, Smart Biomedical and Physiological Sensor Technology XVI, 110200R (2 May 2019); doi: 10.1117/12.2521365
Show Author Affiliations
S. Shrestha, Sonoma State Univ. (United States)
C. Harold, Sonoma State Univ. (United States)
M. Boubin, Miami Univ. (United States)
L. Lawrence, Sonoma State Univ. (United States)

Published in SPIE Proceedings Vol. 11020:
Smart Biomedical and Physiological Sensor Technology XVI
Brian M. Cullum; Douglas Kiehl; Eric S. McLamore, Editor(s)

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