Feature selection algorithm for ECG signals using Range-Overlaps Method

Authors:
Yun-Chi Yeh;Wen-June Wang;Che Wun Chiou
Affiliations:
Department of Electrical Engineering, National Central University, Jhongli 320, Taiwan, ROC and Department of Electronic Engineering, Ching Yun University, Jhongli 320, Taiwan, ROC;Department of Electrical Engineering, National Central University, Jhongli 320, Taiwan, ROC and Department of Electrical Engineering, National Taipei University of Technology, Taipei 106, Taiwan, ...;Department of Computer Science and Information Engineering, Ching Yun University, Jhongli 320, Taiwan, ROC
Venue:
Expert Systems with Applications: An International Journal
Year:
2010

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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.