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Please use this identifier to cite or link to this item: https://dspace.lboro.ac.uk/2134/22217

Title: A Monte Carlo platform for the optical modeling of pulse oximetry
Authors: Azorin-Peris, Vicente
Hu, Sijung
Smith, Peter R.
Keywords: Pulse oximetry
Monte Carlo simulation
Optical modelling
Motion artifact
Issue Date: 2007
Publisher: © SPIE
Citation: AZORIN-PERIS, V., HU, S. and SMITH, P., 2007. A Monte Carlo platform for the optical modeling of pulse oximetry. Proceedings of SPIE, 6446, DOI: 10.1117/12.699084.
Abstract: We investigated a custom Monte Carlo (MC) platform in the generation of opto-physiological models of motion artefact and perfusion in pulse oximetry. 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. Motion-induced artefact and loss of signal quality during low perfusion are currently the primary limitations in pulse oximetry. While most attempts to circumvent these issues have focused on signal post-processing techniques, we propose the development of improved opto-physiological models to include the characterisation of motion artefact and low perfusion. In this stage of the research, a custom MC platform is being developed for its use in determining the effects of perfusion, haemodynamics and tissue-probe optical coupling on transillumination at different positions of the human finger. The results of MC simulations indicate a useful and predictable output from the platform.
Description: © 2007 Society of Photo Optical Instrumentation Engineers. One print or electronic copy may be made for personal use only. Systematic reproduction and distribution, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper are prohibited.
Sponsor: We would like to thank Loughborough University and the Optical Platform (EPSRC 2004-07) for its financial support.
Version: Accepted for publication
DOI: 10.1117/12.699084
URI: https://dspace.lboro.ac.uk/2134/22217
Publisher Link: http://dx.doi.org/10.1117/12.699084
ISBN: 9780819465597
ISSN: 0277-786X
Appears in Collections:Published Articles (Mechanical, Electrical and Manufacturing Engineering)

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