Power spectral density-based nearinfrared sub-band detection for noninvasive blood glucose prediction in both in-vitro and in-vivo studies

Diabetes is a widespread and serious disease and noninvasive measurement has been in high demand. To address this problem, a power spectral density-based method was offered for determining glucose sensitive sub-bands in the nearinfrared (NIR) spectrum. The experiments were conducted using phantoms o...

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Bibliographic Details
Main Authors: Ibrahim Akkaya, Erman Selim, Mert Altintas, Mehmet Engin
Format: Article
Language:English
Published: World Scientific Publishing 2018-11-01
Series:Journal of Innovative Optical Health Sciences
Subjects:
led
Online Access:http://www.worldscientific.com/doi/pdf/10.1142/S1793545818500359