A novel breath analysis system for diabetes diagnosis

Ke Yan, Dapeng Zhang

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

9 Citations (Scopus)

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 languageEnglish
Title of host publicationICCH 2012 Proceedings - International Conference on Computerized Healthcare
PublisherIEEE Computer Society
Pages166-170
Number of pages5
ISBN (Print)9781467351294
DOIs
Publication statusPublished - 1 Jan 2012
Event2012 International Conference on Computerized Healthcare, ICCH 2012 - Hong Kong, Hong Kong
Duration: 17 Dec 201218 Dec 2012

Conference

Conference2012 International Conference on Computerized Healthcare, ICCH 2012
CountryHong Kong
CityHong Kong
Period17/12/1218/12/12

Keywords

  • breath analysis
  • diabetes diagnosis
  • e-nose
  • sensor selection

ASJC Scopus subject areas

  • Health Informatics

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