Sweat sugar detection sensor based on image colorimetric analysis

Zhi Yao Ning; Xue Jin Li; Yu Zhi Chen

doi:10.1117/12.2687523

28 August 2023 Sweat sugar detection sensor based on image colorimetric analysis

Zhi Yao Ning, Xue Jin Li, Yu Zhi Chen

Proceedings Volume 12724, Second International Conference on Biomedical and Intelligent Systems (IC-BIS 2023); 127240C (2023) https://doi.org/10.1117/12.2687523
Event: Second International Conference on Biomedical and Intelligent Systems (IC-BIS2023), 2023, Xiamen, China

Abstract

Diabetes is a metabolic disease characterized by high blood sugar. Diabetes is prone to various complications that can seriously affect human health and even endanger lives. Currently, diabetes is tested in an invasive manner, which is prone to patient resistance and even leads to trauma infection. In response to the need for non-invasive testing, this thesis proposes a non-invasive sweat glucose detection system, which consists of a glucose colorimetric sensor, an industrial camera-based image acquisition system and a color recognition algorithm based on a MATLAB program. The effect of the sample volume of glucose solution on the experimental results was explored, and a linear detection range of 0-4.4 mg/dL was obtained.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Zhi Yao Ning, Xue Jin Li, and Yu Zhi Chen "Sweat sugar detection sensor based on image colorimetric analysis", Proc. SPIE 12724, Second International Conference on Biomedical and Intelligent Systems (IC-BIS 2023), 127240C (28 August 2023); https://doi.org/10.1117/12.2687523

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KEYWORDS

Glucose

Sensors

Image sensors

Image analysis

Blood

Image processing

Image acquisition

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