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