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Data reduction in headspace analysis of blood and urine samples for robust bacterial identification
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Yates, J. W. T., Chappella, M. J., Gardner, J. W., Dow, Crawford S., Dowson, C., Hammood, A., Bolt, F. and Beeby, L. (2005) Data reduction in headspace analysis of blood and urine samples for robust bacterial identification. Computer Methods and Programs in Biomedicine, 79 (3). pp. 259-271. doi:10.1016/j.cmpb.2005.04.003
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Official URL: http://dx.doi.org/10.1016/j.cmpb.2005.04.003
Abstract
This paper demonstrates the application of chemical headspace analysis to the problem of classifying the presence of bacteria in biomedical samples by using computational tools. Blood and urine samples of disparate forms were analysed using a Cyrano Sciences C320 electronic nose together with an Agilent 4440 Chemosensor. The high dimensional data sets resulting from these devices present computational problems for parameter estimation of discriminant models. A variety. of data reduction and pattern recognition techniques were employed in an attempt to optimise the classification process. A 100% successful classification rate for the blood data from the Agilent 4440 was achieved by combining a Sammon mapping with a radia( basis function neural network. In comparison a successful classification rate of 80% was achieved for the urine data from the C320 which were analysed using a novel nonlinear time series model. (c) 2005 Elsevier Ireland Ltd. All rights reserved
| Item Type: | Journal Article | ||||
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| Subjects: | Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software R Medicine |
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| Divisions: | Faculty of Science > Engineering | ||||
| Journal or Publication Title: | Computer Methods and Programs in Biomedicine | ||||
| Publisher: | Elsevier Ireland Ltd. | ||||
| ISSN: | 0169-2607 | ||||
| Official Date: | September 2005 | ||||
| Dates: |
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| Volume: | 79 | ||||
| Number: | 3 | ||||
| Number of Pages: | 13 | ||||
| Page Range: | pp. 259-271 | ||||
| DOI: | 10.1016/j.cmpb.2005.04.003 | ||||
| Status: | Peer Reviewed | ||||
| Publication Status: | Published | ||||
| Access rights to Published version: | Restricted or Subscription Access |
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