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遗传算法消除心电图中的正弦电力线干扰

Genetic-algorithm cancellation of sinusoidal powerline interference in electrocardiograms.

作者信息

Kumaravel N, Nithiyanandam N

机构信息

School of Electronics & Communication Engineering, Anna University, Chennai, India.

出版信息

Med Biol Eng Comput. 1998 Mar;36(2):191-6. doi: 10.1007/BF02510742.

DOI:10.1007/BF02510742
PMID:9684459
Abstract

The paper describes a method, based on a genetic algorithm, to remove sinusoidal powerline interference in electrocardiograms. There is a report on the use of the genetic algorithm to remove powerline interference for two different types of interference, powerline interference with frequency drift, and interference with frequency drift as well as third- harmonic distortion. The studies are conducted on electrocardiograms with simulated interference and also on actual noisy electrocardiogram records. The results obtained using the genetic algorithm in these cases of interference are presented.

摘要

本文描述了一种基于遗传算法的去除心电图中正弦电力线干扰的方法。有一份关于使用遗传算法去除两种不同类型干扰的报告,即频率漂移的电力线干扰以及频率漂移和三次谐波失真的干扰。这些研究是在带有模拟干扰的心电图上以及实际有噪声的心电图记录上进行的。文中给出了在这些干扰情况下使用遗传算法所获得的结果。

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Genetic-algorithm cancellation of sinusoidal powerline interference in electrocardiograms.遗传算法消除心电图中的正弦电力线干扰
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本文引用的文献

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A comparison of adaptive and nonadaptive filters for reduction of power line interference in the ECG.用于减少心电图中电力线干扰的自适应滤波器与非自适应滤波器的比较。
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Genetic design of optimum linear and nonlinear QRS detectors.最佳线性和非线性QRS波检测器的遗传设计
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Removal of base-line wander and power-line interference from the ECG by an efficient FIR filter with a reduced number of taps.通过具有减少抽头数的高效FIR滤波器去除心电图中的基线漂移和电力线干扰。
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Digital filters for real-time ECG signal processing using microprocessors.使用微处理器进行实时心电图信号处理的数字滤波器。
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New approach to the digital elimination of 50 Hz interference from the electrocardiogram.
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Frequency-domain digital filtering techniques for the removal of powerline noise with application to the electrocardiogram.用于去除电力线噪声并应用于心电图的频域数字滤波技术。
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