Exploring the Bias: How Skin Colour Influences Oxygen Saturation Readings via Monte Carlo Simulations
Publication Date
July 9, 2024
Description
The main of this study is to gain theoretical insights into the effect of skin tone on SpO2 - R curves by using a three-dimensional, four-layer finger tissue model. The purpose was to understand the the root cause of reported oxygen saturation overestimation in heavily pigmented skin types to devise solutions toward enabling equity in pulse oximeter design. A finger tissue model, containing the epidermis, dermis, two arteries and a bone was developed using a Monte Carlo based approach in the MCmatlab software tool. Two different skin tones were simulated - light and dark skin by adjusting the optical properties within the epidermal layer. Based on this SpO2 vs R curves were produced in various tissue configurations, including transmission and reflection mode using red and infrared wavelengths. Further to this, the influence of source-detector separation distances on both light and dark skin tissue models were investigated.
Collection dates:
November 2023 - April 2024
Related resources
Subjects
Subjects (JACS)
Subjects (LC)
Divisions
University of Nottingham, UK Campus::Faculty of Engineering
Corporate collaborators
DrDonik Dominik
ankrh Anders
Data type
Matlab output data
Grant Number
EP/T517902/1
MR/T025638/1
Data collection method
MATLAB
Resource languages
English
Publisher
The University of Nottingham
Date Issued
August 1, 2024
Except where otherwise noted, this item's license is described as
File(s)![Thumbnail Image]()
Name
MCpaper_outputdata.zip
Description
Simulation output data
Size
28.61 GB
Format
Unknown
Checksum (MD5)
713926973c487d7898bf236137927674