文章基本信息

标题：Self Adaptive Harmony Search Algorithm for Optimizing ECG Signal
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作者：Asha J Gomez ; Mitha Rachel Jose
期刊名称：International Journal of Computer Science and Information Technologies
电子版ISSN：0975-9646
出版年度：2014
卷号：5
期号：5
页码：6789-6791
出版社：TechScience Publications
摘要：In this study, a filter design approach which uses the harmony search (HS) algorithm for additive white Gaussian noise cancellation and the reduction of broad-band myopotentials (EMG) in ECG signals is described. In order to improve the design, additive white Gaussian noise was added to the signal at different values of signal to noise ratio which were selected. Testing was performed on artificially noised signals from the MIT BIH Arrhythmia database sampled at 250 Hz. The main goal is to improve performance denoisy signal optimally
关键词：ECG signal; MIT BIH database; LTWF; HSA;WF