Paper
1 March 2013 Monte Carlo simulation on the effect of dermal thickness variances on noninvasive blood glucose sensing
Jingying Jiang, Da Zou, Xiaolin Min, Zhenhe Ma, Kexin Xu
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Abstract
Near-infrared spectroscopy(NIRs) is an ideal measurement method for noninvasive blood glucose sensing. In that measuring process, the light propagation path in skin tissue would affect the final near-infrared spectrum greatly. In this talk, the Monte Carlo simulation has been conducted to investigate the effect of dermal thickness variances on blood glucose sensing results at earlobe site. Results demonstrate that the floating reference point exists in the finite five-layered thickness skin model, and the variation of floating reference point under the dermal thickness change is simulated. It is indicated that in the dermal thickness increasing process, there is a rising trend of the floating reference point at each wavelength. It will lay a solid foundation for the further design of an advanced blood glucose detection probe to facilitate the application of NIRs to noninvasive blood glucose sensing eventually.
© (2013) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jingying Jiang, Da Zou, Xiaolin Min, Zhenhe Ma, and Kexin Xu "Monte Carlo simulation on the effect of dermal thickness variances on noninvasive blood glucose sensing", Proc. SPIE 8580, Dynamics and Fluctuations in Biomedical Photonics X, 85801C (1 March 2013); https://doi.org/10.1117/12.2001777
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Cited by 1 scholarly publication.
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KEYWORDS
Glucose

Blood

Skin

Monte Carlo methods

Natural surfaces

Tissue optics

Photons

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