Evidence map›Paper›PMID 38875699›Full record

ArticleJMIR biomedical engineering2022

Equity-Driven Sensing System for Measuring Skin Tone-Calibrated Peripheral Blood Oxygen Saturation (OptoBeat): Development, Design, and Evaluation Study.

Alexander T Adams, Ilan Mandel, Yixuan Gao, Bryan W Heckman, Rajalakshmi Nandakumar, Tanzeem Choudhury

Abstract read
In one paragraph

Article in JMIR biomedical engineering, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Alexander T AdamsInformation Science, Cornell Tech, New York, NY, United States.ORCID https://orcid.org/0000-0001-5811-3153
Ilan MandelInformation Science, Cornell Tech, New York, NY, United States.ORCID https://orcid.org/0000-0002-8569-5176
Yixuan GaoInformation Science, Cornell Tech, New York, NY, United States.ORCID https://orcid.org/0000-0003-1778-3104
Bryan W HeckmanThe Center for the Study of Social Determinants of Health, Meharry Medical College, Nashville, TN, United States.ORCID https://orcid.org/0000-0003-4148-2467
Rajalakshmi NandakumarInformation Science, Cornell Tech, New York, NY, United States.ORCID https://orcid.org/0000-0002-1601-148X
Tanzeem ChoudhuryInformation Science, Cornell Tech, New York, NY, United States.ORCID https://orcid.org/0000-0002-5952-4955

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMany commodity pulse oximeters are insufficiently calibrated for patients with darker skin. We demonstrate a quantitative measurement of this disparity in peripheral blood oxygen saturation (SpO

objectiveThe objective of this work is to test the following hypotheses and implement an ultra-low-cost smartphone adapter to measure SpO

methodsSynthetic skin with the same optical properties as human skin was used in ex vivo experiments. A skin tone scale was placed in images for calibration and ground truth. To achieve a wide range of SpO

resultsThe 3 skin tones were accurately classified according to the Fitzpatrick scale as types 2, 3, and 5. Classification was performed using the Euclidean distance between the measured red, green, and blue values. Traditional pulse oximeter measurements (n=2000) showed significant differences between skin tones in both alternating current and direct current measurements using ANOVA (direct current: F

conclusionsIn this work, we demonstrate that skin tone has a significant effect on SpO

Indexed as

biashealth apphealth equityheart ratemHealthmobile healthmobile phoneoximeteroximetryoxygen leveloxygen saturationpulsepulse oximetrysensorskin tonesmartphoneubiquitous health

Identifiers

PMID38875699
PMCPMC11041433

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.