基于小波变换的新阈值法心电信号去噪的研究

发布时间：2018-09-19 13:42

【摘要】：心电信号反映人体的健康状况,在采集过程中容易受到高频、低频等多种干扰,而传统小波去噪方法的效果不是很理想。提出一种基于离散小波变换的新阈值法,与传统的硬、软阈值法比较,该方法在一定程度上有效地抑制各种噪声,能够更好地保持心电信号的特征和波形幅度。并用MIT-BIH数据库对提出的新阈值法进行验证。实验结果表明所提出的算法与传统小波阈值法相比,能更好地保持心电信号的几何特征,具有更高的信噪比,取得良好的去噪效果。
[Abstract]:ECG signals reflect the health of the human body and are easily affected by many kinds of interference such as high frequency and low frequency in the process of collection, but the effect of traditional wavelet denoising method is not very good. A new threshold method based on discrete wavelet transform (DWT) is proposed. Compared with the traditional hard and soft threshold method, this method can effectively suppress all kinds of noise, and can better maintain the characteristics and waveform amplitude of ECG signal. The new threshold method is validated by MIT-BIH database. Experimental results show that compared with traditional wavelet threshold method, the proposed algorithm can better preserve the geometric characteristics of ECG signals, have higher signal-to-noise ratio, and achieve a good denoising effect.
【作者单位】：太原理工大学通信工程学院;中国科学院研究生院电子研究所;
【分类号】：TN911.4

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