Application of Electronic Nose Technology in Breath Tests for Patients with Diabetes

Abstract:

The study established a set of gas detectors that helped transform exhaled breath into electronic signals, and through wave filtering, A/D transformation, and feature extraction. The fuzzy pattern classification system was then adopted to analyze and recognize the acetone level in breathing to diagnose whether someone has diabetes.

• Periodical: Applied Mechanics and Materials (Volumes 284-287)
• Pages: 1579-1583
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.284-287.1579
• Online since: January 2013
• Authors: Chien Nan Lee
• Keywords: Acetone, Diabetes, Electronic Nose, Feature Extraction, Fuzzy Pattern Classification

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