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Proceedings Paper

Quantification of relationship between noninvasive glucose prediction performance and collection efficiency of Raman spectrometer (Conference Presentation)
Author(s): Yun Park; Sungmo Ahn; Hojun Chang; Woochang Lee; Sung Hyun Nam

Paper Abstract

For noninvasive glucose sensing, we investigate the relationship between Raman spectrometer specification, especially collection efficiency, and glucose prediction performance in computer simulation. The computer simulation for synthetic Raman spectrum generation was designed to include glucose Raman signals at specific glucose concentrations, and Monte-Carlo simulation was used to simulate spectrum generation in a multi-layer model of skin tissue. We quantified the tendency between the decrease in collection efficiency and the deterioration of glucose prediction performance. This study can be important in the analysis of spectrometer specification for required performance for noninvasive glucose sensing, especially in a miniaturized portable or wearable device.

Paper Details

Date Published: 11 March 2020
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Proc. SPIE 11247, Optical Diagnostics and Sensing XX: Toward Point-of-Care Diagnostics, 1124704 (11 March 2020); doi: 10.1117/12.2544710
Show Author Affiliations
Yun Park, Samsung Advanced Institute of Technology (Korea, Republic of)
Sungmo Ahn, Samsung Advanced Institute of Technology (Korea, Republic of)
Hojun Chang, Samsung Advanced Institute of Technology (Korea, Republic of)
Woochang Lee, Samsung Advanced Institute of Technology (Korea, Republic of)
Sung Hyun Nam, Samsung Advanced Institute of Technology (Korea, Republic of)


Published in SPIE Proceedings Vol. 11247:
Optical Diagnostics and Sensing XX: Toward Point-of-Care Diagnostics
Gerard L. Coté, Editor(s)

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