Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/18137
Title: A novel breath analysis system for diabetes diagnosis
Authors: Yan, K
Zhang, D 
Keywords: Breath analysis
Diabetes diagnosis
E-nose
Sensor selection
Issue Date: 2012
Publisher: IEEE Computer Society
Source: ICCH 2012 Proceedings - International Conference on Computerized Healthcare, 2012, p. 166-170 How to cite?
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.
Description: 2012 International Conference on Computerized Healthcare, ICCH 2012, Hong Kong, 17-18 December 2012
URI: http://hdl.handle.net/10397/18137
ISBN: 9781467351294
DOI: 10.1109/ICCH.2012.6724490
Appears in Collections:Conference Paper

Access
View full-text via PolyU eLinks SFX Query
Show full item record

SCOPUSTM   
Citations

2
Last Week
0
Last month
0
Citations as of Oct 11, 2017

Page view(s)

39
Last Week
1
Last month
Checked on Oct 15, 2017

Google ScholarTM

Check

Altmetric



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.