NOS.E : a new fast response electronic nose health monitoring system

Wentian Zhang, Taoping Liu, Miao Zhang, Yi Zhang, Huiqi Li, Maiken Ueland, Shari L. Forbes, X. Rosalind Wang, Steven W. Su

Research output: Chapter in Book / Conference PaperConference Paperpeer-review

7 Citations (Scopus)

Abstract

![CDATA[We present a practical electronic nose (e-nose) system, NOS.E, for the rapid detection and identification of human health conditions. By detecting the changes in the composition of an individual's respiratory gases, which have been shown to be linked to changes in metabolism, e-nose systems can be used to characterize the physical health condition. We demonstrated our system's viability with a simple data set consists of breath collected under three different scenarios from one volunteer. Our preliminary results show the popular classifier SVM can discriminate NOS.E's responses under the three scenarios with high performance. In future work, we will aim to gather a more varied data set to test NOS.E's abilities.]]
Original languageEnglish
Title of host publicationProceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC '18), Honolulu, Hawaii, USA, 18-21 July 2018
PublisherIEEE
Pages4977-4980
Number of pages4
ISBN (Print)9781538636466
DOIs
Publication statusPublished - 2018
EventIEEE Engineering in Medicine and Biology Society. Annual Conference -
Duration: 17 Jul 2018 → …

Publication series

Name
ISSN (Print)1557-170X

Conference

ConferenceIEEE Engineering in Medicine and Biology Society. Annual Conference
Period17/07/18 → …

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