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ECG signal denoising algorithm based on optimization wavelet transform

机译:基于优化小波变换的ECG信号去噪算法

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Wavelet transform algorithm with its unique multi-resolution analysis and it is in the time - frequency domain has the advantage of the ability to characterize the local signal characteristics, let it has been widely used in signal detection, noise removal, feature extraction, image compression and so on. In this paper, on the basis of already wavelet transform ECG noise removal, proposed a median filter optimization algorithm, enables ECG noise removal effect is more obvious, also for the Eigen values detection of ECG lay a better foundation.
机译:小波变换算法具有独特的多分辨率分析,它在时频域中具有局部信号特性的能力的优势,让它已广泛用于信号检测,噪音,特征提取,图像压缩等等。本文在已经小波变换ECG噪声拆除的基础上,提出了一个中值滤波优化算法,使得ECG噪声去除效果更加明显,也用于EIGEN值检测ECG奠定了更好的基础。

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