201. Breath Analysis for Early Detection and Rapid Diagnosis of Diseases for Preventive Medicine
- Author
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Kea-Tiong Tang
- Subjects
Identification (information) ,medicine.medical_specialty ,Breath gas analysis ,Full recovery ,Electronic nose ,Risk analysis (engineering) ,Computer science ,medicine ,Early detection ,Gas analysis ,Disease ,Preventive healthcare - Abstract
Early detection and rapid diagnosis of diseases have drawn much attention in today’s medical practice. Many diseases such as cancer may have a high chance of full recovery if detected at early stages. Breath analysis has received extensive interests because of its non-invasive nature as a highly feasible solution for individual or clinic’s practice of preventive medicine. Conventional gas analysis methods require examining the gas samples in the laboratory using either a gas chromatography-mass spectrometry (GC-MS) analyzer or a Fourier infrared spectrometer (FT-IR). Although GC-MS and FTIR offer relatively accurate results, they do not suit for monitoring an individual’s daily life since these instruments are bulky and the procedure is time-consuming. A light-weight device with fast and accurate detection is therefore ideal for gas analysis in detecting breath. The electronic nose (e-nose) offers an alternative for gas identification. The e-nose uses an array of sensors to acquire the specific response pattern for each type of gas and identifies this specific pattern for disease identification. The e-nose has recently been widely adopted for diagnosis, including dermal drugs, lung cancer, kidney disease, reproduction medication, diabetes, and asthma. Although e-noses are available in the market, the current products are still not popular owing to its massive volume and high cost regarding personal healthcare applications. This talk will introduce the development of miniaturized gas sensing circuits and systems based on e-nose principle. This enables real-time monitoring and rapid diagnosis of diseases. Gas sensors, interface circuits, system architecture, algorithms will be discussed.
- Published
- 2020
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