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Racially fair pupillometry measurements for RGB smartphone cameras using the far red spectrum
Colin Barry, Edward Wang. Scientific reports, 2023-08-24
Topic: Brain imaging, connectivity and assessment
Pupillometry is a measurement of pupil dilation commonly performed as part of neurological assessments. Prior work have demonstrated the potential for pupillometry in screening or diagnosing a number of neurological disorders including Alzheimer's Disease, Schizophrenia, and Traumatic Brain Injury. Unfortunately, the expense and inaccessibility of specialized pupilometers that image in the near infrared spectrum limit the measurement to high resource clinics or institutions. Ideally, this measurement could be available via ubiquitous devices like smartphones or tablets with integrated visible spectrum imaging systems. In the visible spectrum of RGB cameras, the melanin in the iris absorbs light such that it is difficult to distinguish the pupil aperature that appears black. In this paper, we propose a novel pupillometry technique to enable smartphone RGB cameras to effectively differentiate the pupil from the iris. The proposed system utilizes a 630 nm long-pass filter to image in the far red (630-700 nm) spectrum, where the melanin in the iris reflects light to appear brighter in constrast to the dark pupil. Using a convolutional neural network, the proposed system measures pupil diameter as it dynamically changes in a frame by frame video. Comparing across 4 different smartphone models, the pupil-iris contrast of N = 12 participants increases by an average of 451% with the proposed system. In a validation study of N = 11 participants comparing the relative pupil change in the proposed system to a Neuroptics PLR-3000 Pupillometer during a pupillary light response test, the prototype system acheived a mean absolute error of 2.4%.
Cite this study APA, Vancouver, BibTeX · download .bib or .ris
APA 7th
Barry, C., & Wang, E. (2023). Racially fair pupillometry measurements for RGB smartphone cameras using the far red spectrum. Scientific reports. https://doi.org/10.1038/s41598-023-40796-0
Vancouver
Barry C, Wang E. Racially fair pupillometry measurements for RGB smartphone cameras using the far red spectrum. Scientific reports. 2023. doi:10.1038/s41598-023-40796-0. PMID: 37620445.
BibTeX
@article{barry2023-37620445,
author = {Barry, Colin and Wang, Edward},
title = {{Racially fair pupillometry measurements for RGB smartphone cameras using the far red spectrum}},
journal = {Scientific reports},
year = {2023},
doi = {10.1038/s41598-023-40796-0},
pmid = {37620445},
url = {https://doi.org/10.1038/s41598-023-40796-0}
}
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Key findings
- Prior work have demonstrated the potential for pupillometry in screening or diagnosing a number of neurological disorders including Alzheimer's Disease, Schizophrenia, and Traumatic Brain Injury.
Study details
- Participants12
- Effect size2.4%
- Evidence strengthLow
How this study scored 52/100
Published in a peer-reviewed journal. Scored zero for study design and randomized / blinded because the record does not state it. We have no data on journal's citation record, times cited, citations per year, impact for its field and year, cited by studies here, still being cited, senior author's track record, institution's track record, multicenter collaboration and free to read, so those were left out: it earned 29 of the 56 points we could judge it on, which is 52 out of 100.
| Component | Points | Why |
|---|---|---|
| Journal tier | 7 / 10 | Tier 3 — peer-reviewed journal (Scientific reports) |
| Journal's citation record | — / 4 | No journal record from OpenAlex — left out of this score |
| Study design | 0 / 12 | No study design recorded — scores zero, not guessed (not stated in the record — scored 0) |
| Strength of evidence | 1 / 5 | Rated “low” in our summary |
| Peer-review validation | 10 / 10 | Peer-reviewed. Published as an article in a named peer-reviewed journal. |
| How recent | 3 / 5 | 2023 — within 6 year(s) of the newest study here |
| Sample size | 1 / 4 | 12 participants |
| Effect reported | 2 / 3 | Effect reported as a number, without an interval or test |
| Studied in people | 3 / 3 | Studied in people (participant count stated) |
| Randomized / blinded | 0 / 2 | No randomization or blinding stated — scores zero (not stated in the record — scored 0) |
| Times cited | — / 7 | No citation count (not found in OpenAlex) — left out of this score |
| Citations per year | — / 5 | No citation count or no year — left out of this score |
| Impact for its field and year | — / 6 | No field-weighted citation impact (OpenAlex has none yet) — left out of this score |
| Cited by studies here | — / 6 | Not yet checked against this library's citation graph — left out of this score |
| Still being cited | — / 4 | No yearly citation counts — left out of this score |
| Senior author's track record | — / 4 | Senior author's record not available — left out of this score |
| Institution's track record | — / 3 | No institution listed in OpenAlex — left out of this score |
| Multicenter collaboration | — / 3 | Institutions not listed — left out of this score |
| Indexed in PubMed | 2 / 2 | Indexed in PubMed (PMID 37620445) |
| Free to read | — / 2 | Access not recorded — left out of this score |
| Points | 29 / 56 | Scored on 10 of 20 parts. We have no data for the rest, so they are left out: 29 of the 56 points we could judge it on is 52 out of 100. |
| Total | 52 / 100 | — |
What each of these 20 components measures, and what this score is not →
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