Empirical study on early detection of lung cancer using breath analysis

A variety of modalities for early detection of cancer through screening are being investigated. The main inspiration from electronic noses is the development of qualitative, low-cost, real-time, and portable methods to perform reliable, objective, and reproducible measures of volatile compounds and odors. To defeat the difficulties faced by the existing clinical diagnostic and detection methods, the breathe analysis is proposed. Breathe analysis is done using an electronic nose. Breathe from the humans are sampled and the Volatile Organic Compounds (VOC) present in the sampled breathe are analyzed to identify the existing component pertaining to the particular cancer. In this paper, an empirical study on early detection of cancer is achieved by build the electronic nose. The proposed electronic nose has been implemented by Backpropagation Neural Network (BPN).