Abstract
A noninvasive breath analysis system for diabetes diagnosis is proposed in this paper. It utilizes commercial chemical sensors to detect acetone in human breath. The device is portable, fast and easy to operate. Experiments with real breath samples from both inpatient and outpatient diabetics validated the accuracy of this system. An optimal sensor array for diabetes diagnosis is decided according to the classification accuracy. We hope this system could contribute a step toward a practical system that could be used for diabetes screening.
| Original language | English |
|---|---|
| Title of host publication | ICCH 2012 Proceedings - International Conference on Computerized Healthcare |
| Publisher | IEEE Computer Society |
| Pages | 166-170 |
| Number of pages | 5 |
| ISBN (Print) | 9781467351294 |
| DOIs | |
| Publication status | Published - 1 Jan 2012 |
| Event | 2012 International Conference on Computerized Healthcare, ICCH 2012 - Hong Kong, Hong Kong Duration: 17 Dec 2012 → 18 Dec 2012 |
Conference
| Conference | 2012 International Conference on Computerized Healthcare, ICCH 2012 |
|---|---|
| Country/Territory | Hong Kong |
| City | Hong Kong |
| Period | 17/12/12 → 18/12/12 |
Keywords
- breath analysis
- diabetes diagnosis
- e-nose
- sensor selection
ASJC Scopus subject areas
- Health Informatics
