Literature DB >> 17692757

Non-invasive determination of hemoglobin by digital photography of palpebral conjunctiva.

Selim Suner1, Gregory Crawford, John McMurdy, Gregory Jay.   

Abstract

The objective of this study was to determine whether digital photography could be used to calculate hemoglobin. This prospective blinded study was conducted in a tertiary care Emergency Department (ED). A convenience sample of 65 patients provided consent; 44 patients were enrolled for formula derivation and 19 for prospective analysis. Hemoglobin concentration in blood was determined by a cell counter. Software was developed to predict the hemoglobin value based on a formula derived using the images and known hemoglobin values from a derivation set of patients. Pearson's rank order correlation between the calculated and measured hemoglobin was r(77) = 0.634, p < 0.01 for the derivation group and r(36) = 0.522, p < 0.01 for the evaluation group. It is possible to derive an objective method that correlates conjunctiva color with measured hemoglobin and, when applied prospectively, is able to predict hemoglobin concentration in ED patients. This technology has broad applications in regions with limited resources.

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Year:  2007        PMID: 17692757     DOI: 10.1016/j.jemermed.2007.02.011

Source DB:  PubMed          Journal:  J Emerg Med        ISSN: 0736-4679            Impact factor:   1.484


  8 in total

1.  mHealth spectroscopy of blood hemoglobin with spectral super-resolution.

Authors:  Sang Mok Park; Michelle A Visbal-Onufrak; Md Munirul Haque; Martin C Were; Violet Naanyu; Md Kamrul Hasan; Young L Kim
Journal:  Optica       Date:  2020-06-20       Impact factor: 11.104

2.  SmartHeLP: Smartphone-based Hemoglobin Level Prediction Using an Artificial Neural Network.

Authors:  Md Kamrul Hasan; Md Munirul Haque; Riddhiman Adib; Jannatul F Tumpa; Azima Begum; Richard R Love; Young L Kim; I Ahamed Sheikh
Journal:  AMIA Annu Symp Proc       Date:  2018-12-05

Review 3.  Emerging point-of-care technologies for anemia detection.

Authors:  Ran An; Yuning Huang; Yuncheng Man; Russell W Valentine; Erdem Kucukal; Utku Goreke; Zoe Sekyonda; Connie Piccone; Amma Owusu-Ansah; Sanjay Ahuja; Jane A Little; Umut A Gurkan
Journal:  Lab Chip       Date:  2021-05-18       Impact factor: 6.799

4.  A Kalman Filtering and Nonlinear Penalty Regression Approach for Noninvasive Anemia Detection with Palpebral Conjunctiva Images.

Authors:  Yi-Ming Chen; Shaou-Gang Miaou
Journal:  J Healthc Eng       Date:  2017-07-30       Impact factor: 2.682

5.  Smartphone app for non-invasive detection of anemia using only patient-sourced photos.

Authors:  Robert G Mannino; David R Myers; Erika A Tyburski; Christina Caruso; Jeanne Boudreaux; Traci Leong; G D Clifford; Wilbur A Lam
Journal:  Nat Commun       Date:  2018-12-04       Impact factor: 14.919

6.  Noninvasive Hemoglobin Level Prediction in a Mobile Phone Environment: State of the Art Review and Recommendations.

Authors:  Md Kamrul Hasan; Md Hasanul Aziz; Md Ishrak Islam Zarif; Mahmudul Hasan; Mma Hashem; Shion Guha; Richard R Love; Sheikh Ahamed
Journal:  JMIR Mhealth Uhealth       Date:  2021-04-08       Impact factor: 4.773

7.  Combined reflectance spectroscopy and stochastic modeling approach for noninvasive hemoglobin determination via palpebral conjunctiva.

Authors:  Oleg Kim; John McMurdy; Gregory Jay; Collin Lines; Gregory Crawford; Mark Alber
Journal:  Physiol Rep       Date:  2014-01-08

8.  Non-Invasive Detection of Anaemia Using Digital Photographs of the Conjunctiva.

Authors:  Shaun Collings; Oliver Thompson; Evan Hirst; Louise Goossens; Anup George; Robert Weinkove
Journal:  PLoS One       Date:  2016-04-12       Impact factor: 3.240

  8 in total

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