Detection of bacteria causing eye infections using a neural network based electronic nose system
UNSPECIFIED (2000) Detection of bacteria causing eye infections using a neural network based electronic nose system. In: 7th International Symposium on Olfaction and Electronic Noses (ISOEN 2000), JUL, 2000, BRIGHTON, ENGLAND.Full text not available from this repository.
An electronic nose (e-nose) data logger (Cyrano Sciences Inc, USA), comprising an array of thirty-two polymer carbon black composite sensors has been used to identify six species of bacteria, commonly associated with eye infections, over a range of concentrations in saline solutions. Readings were taken from the headspace of the samples by manually introducing the portable e-nose system into sterile glass vials containing a fixed volume of bacteria in suspension. After some data pre-processing, principal components analysis (PCA) and other exploratory techniques were used to investigate the clustering of the response vectors in multi-sensor space. Then, three supervised predictive classifiers, namely multi-layer perceptron (MLP), radial basis function (RBF), and Fuzzy ARTMAP, were used to identify the different bacteria. The optimal MLP network was found to classify correctly 97.3% of unknown bacteria types. The optimal RBF and Fuzzy ARTMAP algorithms were able to predict unknown bacteria with accuracies of 96.3% and 86.1%, respectively. A RBF network was able to discriminate between the six bacteria species even in the lowest state of concentration with 92.8% accuracy. These results show the potential application of neural network-based e-noses for rapid screening and early detection of bacteria causing eye infections and the possible development of a Cyrano e-nose as a near-patient tool in primary medical care.
|Item Type:||Conference Item (UNSPECIFIED)|
|Subjects:||Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software
T Technology > TK Electrical engineering. Electronics Nuclear engineering
|Series Name:||SENSORS SERIES|
|Journal or Publication Title:||ELECTRONIC NOSES AND OLFACTION 2000|
|Publisher:||IOP PUBLISHING LTD|
|Editor:||Gardner, JW and Persaud, KC|
|Number of Pages:||8|
|Page Range:||pp. 189-196|
|Title of Event:||7th International Symposium on Olfaction and Electronic Noses (ISOEN 2000)|
|Location of Event:||BRIGHTON, ENGLAND|
|Date(s) of Event:||JUL, 2000|
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