Feature selection for ECG signal processing using improved genetic algorithm and empirical mode decomposition-Reference-Cited by-同舟云学术

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Feature selection for ECG signal processing using improved genetic algorithm and empirical mode decomposition

Published:2016-12 Issue: Volume:94 Page:372-381
ISSN:0263-2241
Container-title:Measurement
language:en
Short-container-title:Measurement

Author:

Lu Lei,Yan Jihong,de Silva Clarence W.

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Applied Mathematics,Electrical and Electronic Engineering,Condensed Matter Physics,Instrumentation

Reference27 articles.

1. Heart disease and stroke statistics—2010 update A report From the American Heart Association;Lloyd-Jones;Circulation,2010

2. ECG signal processing for abnormalities detection using multi-resolution wavelet transform and artificial neural network classifier;Rai;Measurement,2013

3. An efficient cardiac signal enhancement using time–frequency realization of leaky adaptive noise cancelers for remote health monitoring systems;Rahman;Measurement,2013

4. A comparative study of DWT, CWT and DCT transformations in ECG arrhythmias classification;Khorrami;Expert Syst. Appl.,2010

5. Identification of ECG beats from cross-spectrum information aided learning vector quantization;Dutta;Measurement,2011

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