Simulated Annealing-Based Wavelength Selection for Robust Tissue Oxygenation Estimation Powered by the Extended Modified Lambert–Beer Law
and Kouhyar Tavakolian 5,*
Round 1
Reviewer 1 Report
This paper reported a set of algorithms to develop an inexpensive hyperspectral sensor capable of estimating tissue oxygenation for wound monitoring. The method is sounded and useful while the manuscript is well organized. I recommended accepting this paper after minor revision. I have three comments below:
1. The authors used an instrument function to convolute your experimental spectra. Whether the convolution is indeed necessary or not, please give a relevant explanation. If the convolution is mandatory, please give detailed information on the parameters of the instrument function.
2. The authors compared the Ideal results with the convoluted ones, however, there is more than a 10% percent discrepancy between this two processing. Please present more analysis for this difference.
3. The wavelength selections for quantifying the extinction coefficient, why did you not use the integrated absorption? What is the best wavelength selection value? Please add more descriptions.
Author Response
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Author Response.pdf
Reviewer 2 Report
In this work, the authors utilize a set of algorithms aiming to develop inexpensive and portable hyperspectral sensors capable of estimating tissue oxygenation (SO2). Estimation is performed by using the extended modified Lambert-Beer (EMLB) law. The authors developed a wavelength selection algorithm that enables the estimation with high accuracy in a small number of wavelengths. The results indicated that EMLB-based SO2 estimation algorithm could yield SO2 estimates with low error (< 1%). I have one concern that only 13 Asian volunteers participated in the test of the in vivo study, which makes the findings of this work less convincible. It would be better if the study is conducted on a larger group of volunteers with diverse set of skin types.
Author Response
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Author Response File: Author Response.pdf
