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03717nam a2200781Ia 4500 |
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10.1364-BOE.449625 |
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|a 21567085 (ISSN)
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|a Development of a mobile phone camera-based transcutaneous bilirubinometer for low-resource settings
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|b Optica Publishing Group (formerly OSA)
|c 2022
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|z View Fulltext in Publisher
|u https://doi.org/10.1364/BOE.449625
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|a Newborns in high-income countries are routinely screened for neonatal jaundice using transcutaneous bilirubinometery (TcB). In low-and middle-income countries, TcB is not widely used due to a lack of availability; however, mobile-phone approaches for TcB could help expand screening opportunities. We developed a mobile phone-based approach for TcB and validated the method with a 37 patient multi-ethnic pilot study. We include a custom-designed snap-on adapter that is used to create a spatially resolved diffuse reflectance detection configuration with the illumination provided by the mobile-phone LED flash. Monte-Carlo models of reflectance from neonatal skin were used to guide the design of an adapter for filtered red-green-blue (RGB) mobile-phone camera reflectance measurements. We extracted measures of reflectance from multiple optimized spatial-offset regions-of-interest (ROIs) and a linear model was developed and cross-validated. This resulted in a correlation between total serum bilirubin and mobile-phone TcB estimated bilirubin with a R2= 0.42 and Bland-Altman limits of agreement of +6.4 mg/dL to -7.0 mg/dL. These results indicate that a mobile phone with a modified adapter can be utilized to measure neonatal bilirubin values, thus creating a novel tool for neonatal jaundice screening in low-resource settings. © 2022 OSA - The Optical Society. All rights reserved.
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|a Article
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|a bilirubin
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|a bilirubin blood level
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|a blood sampling
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|a calibration
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|a Camera-based
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|a Cameras
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|a Cellular telephones
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|a clinical article
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|a controlled study
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|a country economic status
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|a cross validation
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|a detection algorithm
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|a diagnostic value
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|a Diffuse reflectance
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|a diffuse reflectance spectroscopy
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|a feature extraction
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|a human
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|a illumination
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|a image processing
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|a light intensity
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|a light scattering
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|a limit of agreement
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|a linear regression analysis
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|a Low income countries
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|a Low-resource settings
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|a Middle-income countries
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|a mobile application
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|a Mobile phone cameras
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|a Monte Carlo method
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|a newborn
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|a newborn jaundice
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|a Phone-based
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|a Pilot studies
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|a pilot study
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|a polyethylene
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|a predictive value
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|a process optimization
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|a Reflection
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|a root mean squared error
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|a Spatially resolved
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|a three-dimensional imaging
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|a Transcutaneous
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|a Arefin, M.S.
|e author
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|a Dobson, D.
|e author
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|a Dumont, A.P.
|e author
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|a Farouk, Z.L.
|e author
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|a Grossarth, S.
|e author
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|a Harrison-Smith, B.
|e author
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|a Lawal, N.
|e author
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|a Nwaba, A.
|e author
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|a Paed, A.M.
|e author
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|a Patil, C.A.
|e author
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|a Sun, Y.
|e author
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|a Weitkamp, J.-H.
|e author
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|t Biomedical Optics Express
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