Chemical sensor screening of blood samples : robust analysis via data set reduction

Research output not available from this repository.

Request-a-Copy directly from author or use local Library Get it For Me service.

Request Changes to record.

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 (Paper)
Subjects: Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software
R Medicine
T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: Faculty of Science, Engineering and Medicine > Engineering > Engineering
Series Name: IFAC SYMPOSIA SERIES
Journal or Publication Title: Modellling and Control in Biomedical Systems 2003 (including Biology Systems)
Publisher: Pergamon-Elsevier Science Ltd.
ISBN: 0080441599
ISSN: 0962-9505
Editor: Feng, D and Carson, ER
Official Date: 2003
Dates:
Date
Event
2003
Published
Number of Pages: 6
Page Range: pp. 289-294
Status: Peer Reviewed
Publication Status: Published
Conference Paper Type: Paper
Title of Event: 5th IFAC Symposium on Modelling and Control in Biomedical Systems
Type of Event: Conference
Location of Event: Melbourne, Australia
Date(s) of Event: 21-23 Aug 2003
URI: https://wrap.warwick.ac.uk/7669/

Export / Share Citation


Data sourced from Thomson Reuters' Web of Knowledge

Request changes or add full text files to a record

Repository staff actions (login required)

View Item View Item