De-noising of Electrocardiogram (ECG) with Adaptive Filter Using MATLAB

G. Makwana, Lalita Gupta
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引用次数: 9

Abstract

Problem associated with biomedical signal like ECG is to extract noise cause by high frequency interference, electromagnetic fields, power line interference and body movement. It is difficult to apply filters with fixed coefficients to reduce random noises. Adaptive filter technique is required to overcome this problem. This paper presents an innovative technique for estimation of ECG waves using Adaptive Noise Cancellation (ANC) algorithm, widrow-hoff LMS algorithm. Comparisons are made for original signal to noisy. Simulations are done for random noise pattern in mat lab.
基于MATLAB的自适应滤波心电信号去噪
诸如心电等生物医学信号的问题是如何提取高频干扰、电磁场、电源线干扰和人体运动所产生的噪声。采用固定系数滤波器来消除随机噪声是困难的。为了克服这一问题,需要采用自适应滤波技术。本文提出了一种新颖的心电波估计技术——自适应噪声消除(ANC)算法,即widrowhoff LMS算法。对原始信号与噪声信号进行了比较。在实验室内对随机噪声模式进行了仿真。
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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