Smartphone tristimulus colorimetry for skin-tone analysis at common pulse oximetry anatomical sites

SignificanceSmartphones hold great potential in point-of-care settings due to their accessibility and computational capabilities. This is critical as clinicians increasingly seek to quantify skin-tone, a characteristic that has been shown to impact the accuracy of pulse oximetry readings, particularly for dark skin tones, and, hence, disproportionately affect patient outcomes.AimWe present a smartphone-based imaging technique for determining individual typology angle (ITA) and compare these results to those obtained using an industry-standard tristimulus colorimeter, particularly for the finger, a common site for pulse oximetry measurements.ApproachWe employ a smartphone-based imaging method to extract ITA values from four volunteers across diverse skin-tones. We provide recommendations for minimizing errors caused by ambient light scattering, which can affect skin-tone readings.ResultsThe smartphone-based ITA (SITA) measurements with camera flash disabled and minimal ambient lighting correlate well with an industry-standard colorimeter without the need for auxiliary adapters and complex calibration. The method presented enables wide-field ITA mapping for skin-tone quantification that is accessible to clinicians.ConclusionsOur findings demonstrate that smartphone-based imaging provides an effective alternative for assessing skin-tone in clinical settings. The reduced complexity of the approach presented makes it highly accessible to the clinical community and others interested in carrying out pulse oximetry across a diversity of skin-tones in a manner that standardizes skin-tone assessment.

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Institutions

Publication Details

Journal
Biophotonics discovery.
Published
2025-05-19
DOI
https://doi.org/10.1117/1.bios.2.3.032504
Citations
4
Primary Topic
Infrared Thermography in Medicine
Type
article
Field-Weighted Citation Impact
5.44

Funders

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article

Smartphone tristimulus colorimetry for skin-tone analysis at common pulse oximetry anatomical sites

Kimani C. Toussaint, Joshua A. Burrow, Rutendo Jakachira, Gannon Lemaster
4 citations
Biophotonics discovery.
Infrared Thermography in Medicine
5.44
article

Smartphone tristimulus colorimetry for skin-tone analysis at common pulse oximetry anatomical sites

Kimani C. Toussaint, Joshua A. Burrow, Rutendo Jakachira, Gannon Lemaster
article en
4 citations

Abstract

SignificanceSmartphones hold great potential in point-of-care settings due to their accessibility and computational capabilities. This is critical as clinicians increasingly seek to quantify skin-tone, a characteristic that has been shown to impact the accuracy of pulse oximetry readings, particularly for dark skin tones, and, hence, disproportionately affect patient outcomes.AimWe present a smartphone-based imaging technique for determining individual typology angle (ITA) and compare these results to those obtained using an industry-standard tristimulus colorimeter, particularly for the finger, a common site for pulse oximetry measurements.ApproachWe employ a smartphone-based imaging method to extract ITA values from four volunteers across diverse skin-tones. We provide recommendations for minimizing errors caused by ambient light scattering, which can affect skin-tone readings.ResultsThe smartphone-based ITA (SITA) measurements with camera flash disabled and minimal ambient lighting correlate well with an industry-standard colorimeter without the need for auxiliary adapters and complex calibration. The method presented enables wide-field ITA mapping for skin-tone quantification that is accessible to clinicians.ConclusionsOur findings demonstrate that smartphone-based imaging provides an effective alternative for assessing skin-tone in clinical settings. The reduced complexity of the approach presented makes it highly accessible to the clinical community and others interested in carrying out pulse oximetry across a diversity of skin-tones in a manner that standardizes skin-tone assessment.

Biophotonics discovery.Vol. 2(03)
Brown University (US), Morgan State University (US)
Brown University
Openalex Percentile: Top 4%
Infrared Thermography in Medicine
5.44
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