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

摘要

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.