Open Access
16 May 2017 Development and validation of a noncontact spectroscopic device for hemoglobin estimation at point-of-care
Probir Kumar Sarkar, Sanchari Pal, Nabarun Polley, Rajarshi Aich, Aniruddha Adhikari, Animesh Halder, Subhananda Chakrabarti, Prantar Chakrabarti, Samir Kumar Pal
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Abstract
Anemia severely and adversely affects human health and socioeconomic development. Measuring hemoglobin with the minimal involvement of human and financial resources has always been challenging. We describe a translational spectroscopic technique for noncontact hemoglobin measurement at low-resource point-of-care settings in human subjects, independent of their skin color, age, and sex, by measuring the optical spectrum of the blood flowing in the vascular bed of the bulbar conjunctiva. We developed software on the LabVIEW platform for automatic data acquisition and interpretation by nonexperts. The device is calibrated by comparing the differential absorbance of light of wavelength 576 and 600 nm with the clinical hemoglobin level of the subject. Our proposed method is consistent with the results obtained using the current gold standard, the automated hematology analyzer. The proposed noncontact optical device for hemoglobin estimation is highly efficient, inexpensive, feasible, and extremely useful in low-resource point-of-care settings. The device output correlates with the different degrees of anemia with absolute and trending accuracy similar to those of widely used invasive methods. Moreover, the device can instantaneously transmit the generated report to a medical expert through e-mail, text messaging, or mobile apps.
© 2017 Society of Photo-Optical Instrumentation Engineers (SPIE) 1083-3668/2017/$25.00 © 2017 SPIE
Probir Kumar Sarkar, Sanchari Pal, Nabarun Polley, Rajarshi Aich, Aniruddha Adhikari, Animesh Halder, Subhananda Chakrabarti, Prantar Chakrabarti, and Samir Kumar Pal "Development and validation of a noncontact spectroscopic device for hemoglobin estimation at point-of-care," Journal of Biomedical Optics 22(5), 055006 (16 May 2017). https://doi.org/10.1117/1.JBO.22.5.055006
Received: 16 January 2017; Accepted: 26 April 2017; Published: 16 May 2017
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CITATIONS
Cited by 19 scholarly publications.
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KEYWORDS
Point-of-care devices

Spectroscopes

Software development

Blood

Data acquisition

Human subjects

LabVIEW

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