Single input adaptive 50 Hz noise canceller from ECG signal

Bashar S. Mohamad-Ali
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引用次数: 1

Abstract

Detected bioelectrical signals are usually contaminated with background noise such as mains supply frequency (50Hz), due to the electrically powered surroundings, and the parasitic currents flowing through the patient's body and the connecting cables. Many Authors have suggested an adaptive filters to suppress the 50Hz noise, but with applying the 50Hz as a reference signal together with the contaminated electrocardiogram (ECG) signal to the adaptive filter. This paper suggests a single input adaptive noise canceling (SIANC) scheme in which the adaptive filter has only one input namely the contaminated ECG signal. Using MATLAB simulink, it was possible to show that, in adaptive noise canceling, a reference input was not always necessary to be applied as a second input to the filter. After the application of the proposed scheme a difference of 64 dB was obtained between the 50Hz noise component and the maximum component of ECG.
单输入自适应50hz心电信号降噪
检测到的生物电信号通常会受到背景噪音的污染,比如电源频率(50Hz),这是由于周围的电力环境,以及流经患者身体和连接电缆的寄生电流。许多作者提出了一种自适应滤波器来抑制50Hz噪声,但将50Hz作为参考信号与被污染的心电图信号一起应用于自适应滤波器。本文提出了一种单输入自适应噪声消除方案,该方案中自适应滤波器只有一个输入,即被污染的心电信号。使用MATLAB simulink,可以显示,在自适应噪声消除中,参考输入并不总是需要作为滤波器的第二输入。应用该方法后,心电信号中50Hz噪声分量与最大噪声分量的差值为64 dB。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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