Evgeny Zherebtsov, Alexander Bykov, Alexey Popov, Alexander Doronin, and Igor Meglinski "Impact of blood volume changes within the human skin on the diffuse reflectance measurements in visible and NIR spectral ranges", Proc. SPIE 10063, Dynamics and Fluctuations in Biomedical Photonics XIV, 1006312 (30 March 2017); doi: 10.1117/12.2250855; https://doi.org/10.1117/12.2250855
Impact of blood volume on the diffuse reflectance spectra of human skin in visible and NIR spectral ranges
|Author:||Zherebtsov, Evgeny1; Doronin, Alexander2; Bykov, Alexander3;|
1Aston University, Optoelectronics and Biomedical Photonics Group, Aston Institute of Photonic Technologies, Aston Triangle, Birmingham B47ET, UK
2Yale University, Department of Computer Science, Computer Graphics Group, New Haven, CT, 06520, USA
3University of Oulu, Opto-Electronics and Measurement Techniques Research Unit, Faculty of Information Technology and Electrical Engineering, P.O. Box 4500, 90014 Oulu, Finland
|Online Access:||PDF Full Text (PDF, 0.4 MB)|
|Persistent link:|| http://urn.fi/urn:nbn:fi-fe2019042513195
|Publish Date:|| 2019-04-25
We consider changes in the volume of blood and oxygen saturation caused by a pulse wave and their influence on the diffuse reflectance spectra in the visible/NIR spectral range. CUDA-based Monte-Carlo model was used for routine simulation of detector depth sensitivity (sampling volume) and skin spectra, and their variations associated with physiological changes in the human skin. The results presented in the form of animated graphs of sampling volume changes for scaling of the parameters of the main human skin layers related to the results of experimental measurements are of particular interest for pulse oximetry, photoplethysmography, Doppler flowmetry, reflectance spectroscopy.
Progress in biomedical optics and imaging
Dynamics and Fluctuations in Biomedical Photonics XIV
Dynamics and Fluctuations in Biomedical Photonics
|Type of Publication:||
A4 Article in conference proceedings
|Field of Science:||
217 Medical engineering
318 Medical biotechnology
Authors acknowledge the support of the Academy of Finland (grants 296408 and 290596). EvZ acknowledges for personal support the funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 703145.
|Academy of Finland Grant Number:||
296408 (Academy of Finland Funding decision)
290596 (Academy of Finland Funding decision)
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