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Abstract

Significance: Questions about the accuracy of pulse oximeters in measuring arterial oxygen saturation ( formula presented ) in individuals with darker skin pigmentation have resurfaced since the COVID-19 pandemic. This requires investigation to improve patient safety, clinical decision making, and research.

Aim: We aim to use computational modeling to identify the potential causes of inaccuracy in formula presented measurement in individuals with dark skin and suggest practical solutions to minimize bias.

Approach: An in silico model of the human finger was developed to explore how changing melanin concentration and arterial oxygen saturation ( formula presented ) affect pulse oximeter calibration algorithms using the Monte Carlo (MC) technique. The model generates calibration curves for Fitzpatrick skin types I, IV, and VI and an formula presented range between 70% and 100% in transmittance mode. formula presented was derived by inputting the computed ratio of ratios for light and dark skin into a widely used calibration algorithm equation to calculate bias ( formula presented ). These were validated against an experimental study to suggest the validity of the Monte Carlo model. Further work included applying different multiplication factors to adjust the moderate and dark skin calibration curves relative to light skin.

Results: Moderate and dark skin calibration curve equations were different from light skin, suggesting that a single algorithm may not be suitable for all skin types due to the varying behavior of light in different epidermal melanin concentrations, especially at 660 nm. The ratio between the mean bias in White and Black subjects in the cohort study was 6.6 and 5.47 for light and dark skin, respectively, from the Monte Carlo model. A linear multiplication factor of 1.23 and exponential factor of 1.8 were applied to moderate and dark skin calibration curves, resulting in similar alignment.

Conclusions: This study underpins the careful re-assessment of pulse oximeter designs to minimize bias in formula presented measurements across diverse populations.

Publication Type:	Article
Additional Information:	© The Authors. Published by SPIE under a Creative Commons Attribution 4.0 International License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI. [DOI: 10.1117/1.JBO.29.S3.S33305]
Publisher Keywords:	Monte Carlo simulation; skin pigmentation; melanin; calibration; pulse oximetry
Subjects:	Q Science > QM Human anatomy R Medicine > RC Internal medicine T Technology > TK Electrical engineering. Electronics Nuclear engineering
Departments:	School of Science & Technology School of Science & Technology > Engineering
SWORD Depositor:	Symplectic Administrator

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