Classifications of Atrial Enlargement Using Neural Networks

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Title Classifications of Atrial Enlargement Using Neural Networks
Author Diery, Adrian Phillip; Abbosh, Y.; Thiel, David Victor; Cutmore, Timothy; Rowlands, David Duanne
Publication Title 8th International Symposium on Antennas, Propagation and M Theory 2008
Year Published 2008
Place of publication USA
Publisher IEEE Press
Abstract The aim of this study was to classify using a neural network LAE into mildly, moderately, and severely abnormal from a subject's P-wave. Cardiological features, wavelet features, and a combination of both were used to train the neural networks. It was found features derived from the wavelet energy spectrum performed better than the cardiological features on the test cases.
Peer Reviewed Yes
Published Yes
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Copyright Statement Copyright 2008 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
ISBN 978-1-4244-2192-3
Conference name ISAPE 2008
Location Kunming, China
Date From 2008-11-02
Date To 2008-11-05
Date Accessioned 2009-08-05
Language en_AU
Research Centre Behavioural Basis of Health; Menzies Health Institute Qld
Faculty Faculty of Science, Environment, Engineering and Technology
Subject Biomedical Engineering
Publication Type Conference Publications (Full Written Paper - Refereed)
Publication Type Code e1a

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