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    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:[電機工程學系] 期刊論文

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