Abstract:
Human lungs are essential respiratory organs. Different Obstructive Lung Diseases (OLD) such as bronchitis, asthma, lungs cancer etc. affects the respiration. Diagnosing OLD in the initial stage is better than diagnosing and curing them later. The delay in diagnosing OLD is due to expensive diagnosing tool and experts requirement. Therefore, a non-invasive diagnosing tool for OLD is required that identifies dysfunctional lungs without the support of expert, complex and expensive diagnosing types of equipment. In this work, we design an Iris based Lungs Pre-diagnostic System (ILPS). The ILPS takes iris images as input and identifies dysfunctional Lungs based on iridology map. While testing with 50 lungs patients, the results confirm that the ILPS identifies dysfunctional lungs patients with an accuracy of 88%.
Published in: 2019 2nd International Conference on Computing, Mathematics and Engineering Technologies (iCoMET)
Date of Conference: 30-31 Jan. 2019
Date Added to IEEE Xplore: 25 March 2019
ISBN Information:
INSPEC Accession Number: 18530773
DOI: 10.1109/ICOMET.2019.8673495
Publisher: IEEE
Conference Location: Sukkur, Pakistan, Pakistan
Reference: https://ieeexplore.ieee.org/document/8673495
