Abstract

The analysis of blood parameters is main procedure for defining the patient's condition. The refractive index of blood was calculated using the experimental data for a medical application and diagnostic purposes. There is small change in the refractive indices with changing with the personal conditions, illness, parasitization, temperature and others. Theoretical simulations of the refractive index of blood are difficult, and it is unpredictable in different conditions. We proposed a new formula for the refractive index of blood as a function of wavelength, concentration, and temperature by using the genetic programming method. Input parameters were temperature (°C), concentration (g/L), and wavelength (nm). The refractive index values of blood were the output parameters. A total of 492 training and testing sets were selected in the spectral range of 436 to 1550 nm, in the temperature range of 20-45 °C and the concentration of 0-200 g/L HbC. The model proposes the refractive index formula blood for all the input parameters given in the range without need of extra parameters. The results are good agreement with experimental measurements in the literature and compared to Sellmeier equation.

Highlights

  • The optical properties of blood provide important information for diagnostic applications

  • We proposed a formula to determine the refractive index of blood by using genetic programming

  • We proposed a new formulation for predicting the refractive index of blood as a function of wavelength, low concentration of protein, and temperature using genetic programming

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Summary

Introduction

The optical properties of blood provide important information for diagnostic applications. The health care professionals have looked for medical conditions and signs of disease in the blood parameters. This connective liquid within the body are used to determine the condition with non-invasively. Researchers have proposed different methods for deriving the real and complex part of the refractive index (Oduncuoğlu 2020, Tuchin 2015, 2016, Zhernovaya et al 2011). The n = nreal is the real part and n = nImaginary is the imaginary part of complex number, respectively. The structure of blood is complex, and this attractive research subject is mostly studied to develop

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