An automated algorithm for the quantification of hCG level in novel fabric-based home pregnancy test kits

We report a new image processing algorithm that extracts quantitative information about the concentration of human chorionic gonadotropin (hCG), an important early pregnancy marker, from commercially available qualitative home pregnancy kits. The algorithm could potentially be ported onto a simple c...

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Bibliographic Details
Published in:	2013 Asilomar Conference on Signals, Systems and Computers pp. 245 - 247
Main Authors:	Manasa, K., Manasa Priya, K. V. S. N. L., Reddy, S. Sadhana, Channappayya, Sumohana S., Vanjari, Sivaramakrishna, Dendukuri, Dhananjaya, Sridharan, Swathy, Choudhary, Tripurari, Bhandari, Paridhi
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01-11-2013
Subjects:	Algorithm design and analysis Fabrics Image color analysis Image segmentation Prediction algorithms Pregnancy Strips
Online Access:	Get full text
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Summary:	We report a new image processing algorithm that extracts quantitative information about the concentration of human chorionic gonadotropin (hCG), an important early pregnancy marker, from commercially available qualitative home pregnancy kits. The algorithm could potentially be ported onto a simple camera based cell phone making it a low-cost, portable point-of-care device as opposed to costly and time consuming clinical labs for accurate quantitative determination of hCG. The algorithm takes the image of the test result as input, classifies and determines the hCG concentration based on the RGB intensities of the test line. The efficacy of the algorithm is demonstrated using control samples on commercially available strips as well as novel fabric based strips designed for this application.
ISSN:	2576-2303
DOI:	10.1109/ACSSC.2013.6810269