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Implementation of EMD Algorithm for ECG Noise Reduction

机译:EMD算法降低ECG噪声的实现

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In this paper, Empirical mode decomposition (EMD) algorithm is implemented on a digital signal processor (DSP) to eliminate artifacts from the electrocardiogram (ECG) signal. By extracting specified IMF components, power-line interference and baseline wander can be reduced. EMD algorithm is a novel technique which can decompose a signal into a series of intrinsic mode functions (IMFs), and use to eliminate the noise from biomedical signals. However, most of the publications are aimed at the off-line EMD-based signal processing through a personal computer. Therefore, it is valuable to implement the EMD algorithm on the DSP for the biomedical signal processing. In order to verify the features of the proposed system, emulations are firstly performed, and then the experimental results are presented using the fabricated platform.
机译:本文在数字信号处理器(DSP)上实现了经验模式分解(EMD)算法,以消除心电图(ECG)信号中的伪影。通过提取指定的IMF组件,可以减少电源线干扰和基线漂移。 EMD算法是一种新颖的技术,可以将信号分解为一系列固有模式函数(IMF),并用于消除生物医学信号中的噪声。但是,大多数出版物都针对通过个人计算机进行的基于EMD的离线信号处理。因此,在DSP上实现EMD算法以进行生物医学信号处理是很有价值的。为了验证所提出系统的功能,首先进行了仿真,然后使用装配好的平台给出了实验结果。

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