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Classification of field asymmetric ion mobility spectrometry data for detection of bowel bacteria

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Gardner, J. W., McIntosh, James, Ouaret, Natalie, Gold, Peter, Nwokolo, Chuka U., Bardhan, Karna Dev, Arasaradnam, Ramesh P. and Covington, James A. (2012) Classification of field asymmetric ion mobility spectrometry data for detection of bowel bacteria. In: 9th IASTED International Conference on Biomedical Engineering, BioMed 2012, Innsbruck; Austria, 15-17 Feb 2012. Published in: Proceedings of the 9th IASTED International Conference on Biomedical Engineering, BioMed 2012 pp. 309-314. ISBN 9780889869097. doi:10.2316/P.2012.764-032

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Official URL: http://dx.doi.org/10.2316/P.2012.764-032

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Abstract

Urine samples taken from patients before and after bowel cleansing, previously analysed with an e-nose, have been analysed using an Owlstone Nanotech Lonestar device based upon field asymmetric ion mobility spectrometry (FAIMS). Clinical samples have been studied and chemical headspace classified as a crucial first step towards our understanding of more complex microflora populations. Artificial neural networking techniques have been combined with dimensionality reduction and feature selection methods with an accuracy of up to 94%.

Item Type: Conference Item (Paper)
Divisions: Faculty of Science, Engineering and Medicine > Engineering > Engineering
Journal or Publication Title: Proceedings of the 9th IASTED International Conference on Biomedical Engineering, BioMed 2012
ISBN: 9780889869097
Book Title: Biomedical Engineering / 765: Telehealth / 766: Assistive Technologies
Official Date: 2012
Dates:
DateEvent
2012Published
Page Range: pp. 309-314
DOI: 10.2316/P.2012.764-032
Status: Peer Reviewed
Publication Status: Published
Access rights to Published version: Restricted or Subscription Access
Conference Paper Type: Paper
Title of Event: 9th IASTED International Conference on Biomedical Engineering, BioMed 2012
Type of Event: Conference
Location of Event: Innsbruck; Austria
Date(s) of Event: 15-17 Feb 2012

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