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11 March 2020 Quantification of relationship between noninvasive glucose prediction performance and collection efficiency of Raman spectrometer (Conference Presentation)
Yun Park, Sungmo Ahn, Hojun Chang, Woochang Lee, Sung Hyun Nam
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Proceedings Volume 11247, Optical Diagnostics and Sensing XX: Toward Point-of-Care Diagnostics; 1124704 (2020) https://doi.org/10.1117/12.2544710
Event: SPIE BiOS, 2020, San Francisco, California, United States
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.
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Yun Park, Sungmo Ahn, Hojun Chang, Woochang Lee, and Sung Hyun Nam "Quantification of relationship between noninvasive glucose prediction performance and collection efficiency of Raman spectrometer (Conference Presentation)", Proc. SPIE 11247, Optical Diagnostics and Sensing XX: Toward Point-of-Care Diagnostics, 1124704 (11 March 2020); https://doi.org/10.1117/12.2544710
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KEYWORDS
Glucose
Raman spectroscopy
Spectroscopy
Computer simulations
Skin
Monte Carlo methods
Sensors
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