UNSPECIFIED (2003) Chemical sensor screening of blood samples: Robust analysis via data set reduction. In: 5th IFAC Symposium on Modelling and Control in Biomedical Systems, AUG 21-23, 2003, MELBOURNE, AUSTRALIA.

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Abstract

Gas sensor analysis of blood samples is shown to be an effective method to screen for bacterial pathogens. In this work, various strains of Staphylococcus Aureus are cultured in a blood medium. The data are analysed using normalisation techniques, Principal Components Analysis (PCA) and Radial Basis Function (RBF) networks trained using the Support Vector Method (SVM). Good separation of data is reported and a classification rate of 100% was obtained. Copyright (C) 2003 IFAC.

Item Type:	Conference Item (UNSPECIFIED)
Subjects:	Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software R Medicine T Technology > TK Electrical engineering. Electronics Nuclear engineering
Series Name:	IFAC SYMPOSIA SERIES
Journal or Publication Title:	MODELLING AND CONTROL IN BIOMEDICAL SYSTEMS 2003 (INCLUDING BIOLOGICAL SYSTEMS)
Publisher:	PERGAMON-ELSEVIER SCIENCE LTD
ISBN:	0-08-044159-9
ISSN:	0962-9505
Editor:	Feng, D and Carson, ER
Date:	2003
Number of Pages:	6
Page Range:	pp. 289-294
Publication Status:	Published
Title of Event:	5th IFAC Symposium on Modelling and Control in Biomedical Systems
Location of Event:	MELBOURNE, AUSTRALIA
Date(s) of Event:	AUG 21-23, 2003
URI:	http://wrap.warwick.ac.uk/id/eprint/7669

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