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dc.contributor.authorKuppur Narayana Swamy, Suvvi
dc.contributor.authorLiu, Chong
dc.contributor.authorCorreia, Ricardo
dc.contributor.authorHayes-Gill, Barrie
dc.contributor.authorMorgan, Stephen
dc.description.abstractThe 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.en_UK
dc.publisherThe University of Nottinghamen_UK
dc.subject.lcshPulse oximetersen_UK
dc.subject.lcshBiomedical engineeringen_UK
dc.subject.lcshMonte Carlo methoden_UK
dc.subject.lcshHuman skin coloren_UK
dc.titleExploring the Bias: How Skin Colour Influences Oxygen Saturation Readings via Monte Carlo Simulationsen_UK
dc.subject.freePulse oximeter, oxygen saturation, transmission-mode, occult hypoxemia, racial bias, melanin, skin colour, Monte Carloen_UK
dc.subject.jacsEngineering::General engineering::Bioengineering, biomedical engineering & clinical engineering::Biosensorsen_UK
dc.subject.lcR Medicine::R Medicine (General)::R855 Medical technology. Biomedical engineering. Electronicsen_UK
dc.contributor.corporateDrDonik Dominiken_UK
dc.contributor.corporateankrh Andersen_UK 2023 - April 2024en_UK
uon.divisionUniversity of Nottingham, UK Campus::Faculty of Engineeringen_UK
uon.funder.controlledEngineering & Physical Sciences Research Councilen_UK
uon.funder.controlledMedical Research Councilen_UK
uon.datatypeMatlab output dataen_UK
uon.rightscontactSuvvi Kuppur Narayana Swamyen_UK
uon.rightscontactStephen P Morganen_UK
uon.institutes-centresUniversity of Nottingham, UK Campusen_UK
uon.identifier.risprojectRIS ID 8495019en_UK

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