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首页> 外文期刊>Telecommunications and Radio Engineering >ADAPTIVE ALGORITHMS FOR ELIMINATION OF ELECTROMYOGRAPHIC NOISE IN THE ELECTROCARDIOGRAM SIGNAL
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ADAPTIVE ALGORITHMS FOR ELIMINATION OF ELECTROMYOGRAPHIC NOISE IN THE ELECTROCARDIOGRAM SIGNAL

机译:消除心电图信号中的静电噪声的自适应算法

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摘要

Adaptive filtering algorithms for filtering electromyographic noise from eletrocardiographic signal are considered. Statistical characteristics of suppressing noise described by symmetric α-stable distribution (sampling rate of 500 Hz) are obtained for mean square error and signal- to-noise ratio. It is shown that the proposed adaptive myriad filters provide a high quality the elimination of electromyographic noise in the electrocardiogram.
机译:考虑了用于从心电图信号中滤除肌电图噪声的自适应滤波算法。对于均方误差和信噪比,获得了以对称的α稳定分布(采样率为500 Hz)描述的抑制噪声的统计特性。结果表明,所提出的自适应无数滤波器为消除心电图中的肌电噪声提供了高质量。

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