Abstract
Anaemia is a condition wherein the number of Red Blood Cells (RBCs) in the body diminishes. This leads to a decline in the oxygen-carrying capacity of the blood. Though iron deficiency is one of the prominent factors that cause anaemia, other factors like malaria, improper diet, infections, etc. are also responsible for causing anaemia. The diagnosis of anaemia often commences with a clinical inspection. This is followed by laboratory tests like Complete Blood Count (CBC), reticulocyte count, etc. These tests fall under the invasive category as they necessitate injecting surgical instruments into the patient’s body. The non-invasive methods rely on checking for pallor in regions like tongue, conjunctiva, nailbed, etc. The limitation of this technique is that it is not too reliable in cases of mild anaemia. This dissertation aims to develop a reliable, non-invasive way to diagnose anaemia. A smartphone camera is used to capture the conjunctival region. Thereafter, the image is processed and an Erythema Index (EI) is generated. The EI is used to discern if a person is anaemic or not. The experimental results indicate that the devised technique is able to identify mildly anaemic individuals to a decent level of accuracy.
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Sharma, M., Garg, B. (2018). Non-invasive Anaemia Detection by Analysis of Conjunctival Pallor. In: Bhattacharyya, S., Gandhi, T., Sharma, K., Dutta, P. (eds) Advanced Computational and Communication Paradigms. Lecture Notes in Electrical Engineering, vol 475. Springer, Singapore. https://doi.org/10.1007/978-981-10-8240-5_25
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DOI: https://doi.org/10.1007/978-981-10-8240-5_25
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