Paper
20 May 2013 Breath analysis system for early detection of lung diseases based on multi-sensor array
Jin-Young Jeon, Joon-Boo Yu, Jeong-Suk Shin, Hyung-Gi Byun, Jeong-Ok Lim
Author Affiliations +
Proceedings Volume 8879, Nano-Bio Sensing, Imaging, and Spectroscopy; 88790B (2013) https://doi.org/10.1117/12.2018725
Event: Nano-Bio Sensing, Imaging and Spectroscopy, 2013, Jeju, Korea, Republic of
Abstract
Expiratory breath contains various VOCs(Volatile Organic Compounds) produced from the human. When a certain disease exists, the exhalation has specific VOCs which may be generated from diseases. Many researchers have been actively working to find different types of biomarkers which are characteristic for particular diseases. Research regarding the identification of specific diseases from exhalation is still in progress. The aim of this research is to implement early detection of lung disease such as lung cancer and COPD(Chronic Obstructive Pulmonary Disease), which was nominated on the 6th of domestic death rate in 2010, based on multi-sensor array system. The system has been used to acquire sampled expiratory gases data and PCA(Principle Component Analysis) technique was applied to analyze signals from multi-sensor array. Throughout the experimental trials, a clearly distinguishable difference between lung disease patients and healthy controls was found from the measurement and analysis of their respective expiratory gases.
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Jin-Young Jeon, Joon-Boo Yu, Jeong-Suk Shin, Hyung-Gi Byun, and Jeong-Ok Lim "Breath analysis system for early detection of lung diseases based on multi-sensor array", Proc. SPIE 8879, Nano-Bio Sensing, Imaging, and Spectroscopy, 88790B (20 May 2013); https://doi.org/10.1117/12.2018725
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KEYWORDS
Lung

Chronic obstructive pulmonary disease

Lung cancer

Gases

Control systems

Principal component analysis

Statistical analysis

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