Feature selection algorithm for ECG signals using Range-Overlaps Method

NCUIR > College of Electrical Engineering & Computer Science > Department of Electrical Engineering > journal & Dissertation > Item 987654321/51945

Please use this identifier to cite or link to this item: http://ir.lib.ncu.edu.tw/handle/987654321/51945

Title:	Feature selection algorithm for ECG signals using Range-Overlaps Method
Authors:	Yeh,YC;Wang,WJ;Chiou,CW
Contributors:	電機工程學系
Keywords:	NEURAL-NETWORK;CLASSIFICATION
Date:	2010
Issue Date:	2012-03-28 10:11:32 (UTC+8)
Publisher:	國立中央大學
Abstract:	This study proposes a simple and reliable feature selection algorithm for ECG signals, termed the Range-Overlaps Method. The proposed method has the advantages of good detection results, no complex mathematic computations, fast and low memory space and low time complexity. Both cluster analysis and fuzzy logic methods are applied to evaluate the performance of the proposed method. Experimental results show that the total classification accuracy is above 93%. Thus, the proposed algorithm provides an efficient, simple and fast method for feature selection on ECG signals. (C) 2009 Elsevier Ltd. All rights reserved.
Relation:	EXPERT SYSTEMS WITH APPLICATIONS
Appears in Collections:	[Department of Electrical Engineering] journal & Dissertation

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