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Applying convolution-based processing methods to a dual-channel, large array, artificial olfactory mucosa
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Taylor, J. E., Harun, F. K. Che, Covington, James A. and Gardner, J. W. (2009) Applying convolution-based processing methods to a dual-channel, large array, artificial olfactory mucosa. In: 13th International Symposium on Olfaction and the Electronic Nose, Brescia, Italy, 15-17 Apr 2009. Published in: Proceedings of the 13th International Symposium on Olfaction and Electronic Nose, Vol.1137 pp. 181-184. ISBN 978-0-7354-0674-2. doi:10.1063/1.3156502 ISSN 0094-243X.
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Official URL: http://dx.doi.org/10.1063/1.3156502
Abstract
Our understanding of the human olfactory system, particularly with respect to the phenomenon of nasal chromatography, has led us to develop a new generation of novel odour-sensitive instruments (or electronic noses). This novel instrument is in need of new approaches to data processing so that the information rich signals can be fully exploited; here, we apply a novel time-series based technique for processing such data. The dual-channel, large array artificial olfactory mucosa consists of 3 arrays of 300 sensors each. The sensors are divided into 24 groups, with each group made from a particular type of polymer. The first array is connected to the other two arrays by a pair of retentive columns. One channel is coated with Carbowax 20M, and the other with OV-1. This configuration partly mimics the nasal chromatography effect, and partly augments it by utilizing not only polar (mucus layer) but also non-polar (artificial) coatings. Such a device presents several challenges to multi-variate data processing: a large, redundant dataset, spatio-temporal output, and small sample space. By applying a novel convolution approach to this problem, it has been demonstrated that these problems can be overcome. The artificial mucosa signals have been classified using a probabilistic neural network and gave an accuracy of 85%, Even better results should be possible through the selection of other sensors with lower correlation.
| Item Type: | Conference Item (Paper) | ||||
|---|---|---|---|---|---|
| Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering | ||||
| Divisions: | Faculty of Science, Engineering and Medicine > Engineering > Engineering | ||||
| Library of Congress Subject Headings (LCSH): | Chemical detectors -- Automatic control, Olfactory mucosa -- Research, Signal processing, Convolutions (Mathematics) | ||||
| Series Name: | AIP Conference Proceedings | ||||
| Journal or Publication Title: | Proceedings of the 13th International Symposium on Olfaction and Electronic Nose | ||||
| Publisher: | American Institute of Physics | ||||
| ISBN: | 978-0-7354-0674-2 | ||||
| ISSN: | 0094-243X | ||||
| Editor: | Pardo, M and Sberveglieri, G | ||||
| Official Date: | 2009 | ||||
| Dates: |
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| Volume: | Vol.1137 | ||||
| Number of Pages: | 4 | ||||
| Page Range: | pp. 181-184 | ||||
| DOI: | 10.1063/1.3156502 | ||||
| Status: | Peer Reviewed | ||||
| Publication Status: | Published | ||||
| Access rights to Published version: | Restricted or Subscription Access | ||||
| Conference Paper Type: | Paper | ||||
| Title of Event: | 13th International Symposium on Olfaction and the Electronic Nose | ||||
| Type of Event: | Conference | ||||
| Location of Event: | Brescia, Italy | ||||
| Date(s) of Event: | 15-17 Apr 2009 |
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