Classification of Atrial Enlargement Using Neural Networks

摘要：

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.

作者: A.Diery Y.Abbosh D.V.Thiel T.R.H.Cutmore D.Rowlands

作者单位: Griffith School of Engineering,School of PsychologyGriffith University,Nathan,Brisbane,Australia,411 College of Electronic Engineering,University of Mosul,Mosul,Iraq. Griffith School of Engineering,School of Psychology Griffith University,Nathan,Brisbane,Australia,41 Griffith School of Engineering,School of Psychology Griffith University,Nathan,Brisbane,Australia,41

会议类型: 国际会议

会议名称: 第八届电磁理论、天线及传播国际研讨会

会议地点: 昆明

会议语种:英文

在线出版日期: 2008-11-01（万方平台首次上网日期，不代表论文的发表时间）