@inproceedings{1ae953e0bd2049c18ac39f08a22c2ae1,
title = "NOS.E : a new fast response electronic nose health monitoring system",
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.]]",
author = "Wentian Zhang and Taoping Liu and Miao Zhang and Yi Zhang and Huiqi Li and Maiken Ueland and Forbes, {Shari L.} and Wang, {X. Rosalind} and Su, {Steven W.}",
year = "2018",
doi = "10.1109/EMBC.2018.8513416",
language = "English",
isbn = "9781538636466",
publisher = "IEEE",
pages = "4977--4980",
booktitle = "Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC '18), Honolulu, Hawaii, USA, 18-21 July 2018",
note = "IEEE Engineering in Medicine and Biology Society. Annual Conference ; Conference date: 17-07-2018",
}