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Validation of a Monte Carlo platform for the optical modelling of pulse oximetry

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journal contribution
posted on 2016-08-05, 13:38 authored by Vicente Azorin-Peris, Sijung HuSijung Hu
A custom Monte Carlo (MC) platform has been established to generate opto-physiological models of mechanisms in pulse oximetry. The current research is an exploration of the process of empirically validating such a platform. With the growing availability and accuracy of tissue optical properties in literatures, MC simulation of light-tissue interaction is providing increasingly valuable information for optical bio-monitoring research. However, the extent of the validity of results from such simulations depends heavily on its agreement with empirical data. The use of images captured from a CMOS camera for the construction of intensity distributions of light transmitted through the human finger has been investigated to compare with corresponding distributions produced in the MC simulations.

Funding

We would like to thank Loughborough University and the Optical Platform (EPSRC 2004-07) for their financial support.

History

School

  • Mechanical, Electrical and Manufacturing Engineering

Published in

Third International Conference on Optical and Laser Diagnostics - Journal of Physics

Volume

Conference Series 85

Pages

. 1 - 6

Citation

AZORIN-PERIS, V. and HU, S., 2007. Validation of a Monte Carlo platform for the optical modelling of pulse oximetry. Journal of Physics, Conference Series, 85, DOI: 10.1088/1742-6596/85/1/012027.

Publisher

© Institute of Physics

Version

  • VoR (Version of Record)

Publisher statement

This work is made available according to the conditions of the Creative Commons Attribution 3.0 Unported (CC BY 3.0) licence. Full details of this licence are available at: http://creativecommons.org/licenses/by/3.0/

Publication date

2007

Notes

Published under licence in Journal of Physics, Conference Series by IOP Publishing Ltd. CC-BY. Content from this work may be used under the terms of the Creative Commons Attribution 3.0 licence. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI.

ISSN

1742-6588

eISSN

1742-6596

Language

  • en

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