An Enhanced Algorithm for the Quantification of Human Chorionic Gonadotropin (hCG) Level in Commercially Available Home Pregnancy Test Kits

K, Abhishek and M, Haloi and Channappayya, Sumohana and Vanjari, Siva Rama Krishna and Dendukuri, D and Sridharan, S and Choudhary, T and Bhandari, P (2014) An Enhanced Algorithm for the Quantification of Human Chorionic Gonadotropin (hCG) Level in Commercially Available Home Pregnancy Test Kits. In: Twentieth National Conference on Communications (NCC), 28 Feb. 2 March 2014, Kanpur.

Full text not available from this repository. (Request a copy)

Abstract

Home pregnancy kits typically provide a qualitative (yes/no) result based on the concentration of human chorionic gonadotropin (hCG) present in urine samples. We present an algorithm that converts this purely qualitative test into a semi- quantitative one by processing digital images of the test kit’s output. The algorithm identifies the test and control lines in the image and classifies an input into one of four different hCG concentration levels based on the color of the test line. The proposed algorithm provides significant improvement over a prior method and reduces the maximum false positive rate to less than 5%. This improvement is achieved by a careful choice of the color space so as to maximize the inter-concentration separability. Also, the proposed method increases the utility of the test kits by providing useful diagnostic information. Furthermore, the algorithm could be ported to a mobile platform to make it particularly helpful in remote rural health monitoring.

[error in script]

IITH Creators: