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Baseline Wander and Power-Line Interference Removal from ECG Signals Using Fourier Decomposition Method

机译:基线使用傅立叶分解方法从ECG信号中徘徊和电源线干扰

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Analysis of electrocardiogram (ECG) signals helps us in detecting various abnormalities and diseases of heart. These signals commonly suffer from the problems of baseline wander and power-line interference. In this paper, we propose a new approach to eliminate such noises from ECG signals using the Fourier decomposition method. Simulation results are presented to show the efficacy of our method over previously used EMD-based methods. The proposed method has been shown to preserve shape characteristics of ECG signals of heart abnormalities.
机译:心电图(ECG)信号分析有助于我们检测心脏的各种异常和疾病。这些信号通常遭受基线漂泊和电力干扰的问题。在本文中,我们提出了一种新方法,使用傅里叶分解方法从ECG信号中消除这种噪声。提出了仿真结果以显示我们对先前使用的基于EMD的方法的方法的功效。已经证明了所提出的方法以保护心脏异常的心电图信号的形状特征。

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