北京邮电大学学报

  • EI核心期刊

北京邮电大学学报 ›› 2017, Vol. 40 ›› Issue (1): 28-31.doi: 10.13190/j.jbupt.2017.01.004

• 论文 • 上一篇    下一篇

平稳小波变换和新阈值函数用于心电信号去噪

张金玲, 郑鑫   

  1. 北京邮电大学 电子工程学院, 北京 100876
  • 收稿日期:2016-04-20 出版日期:2017-02-28 发布日期:2017-03-14
  • 作者简介:张金玲(1968-),女,教授,博士生导师;郑鑫(1992-),女,硕士生,E-mail:qingheyikanzx@sina.com.

Stationary Wavelet Transform and New Threshold Function Used in ECG Signal Denoising

ZHANG Jin-ling, ZHENG Xin   

  1. School of Electronic Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, China
  • Received:2016-04-20 Online:2017-02-28 Published:2017-03-14

摘要: 心电信号采集过程中容易受到基线漂移、工频和肌电等噪声的干扰。为了提高心电信号的信噪比,结合平稳小波变换,在使用小波阈值去噪法去燥过程中,提出一种有别于常用软硬阈值函数的新的阈值函数。通过分析实测数据验证新阈值函数,结果表明,该方法更加有效地抑制了心电信号中混入的基线漂移、工频和肌电噪声,且较好地保留了原始心电信号的特征。

关键词: 心电信号, 平稳小波变换, 阈值函数, 去噪

Abstract: The electrocardiogram (ECG) signal is commonly interfered by noises of baseline drift, power frequency, and electromyography, which happens during collections. To improve the signal noise ratio of ECG signals, a threshold function was proposed in the denoising process of the wavelet threshold denoising method, which combining the stationary wavelet transform. And the function is different from the usual one. The new function is verified by analyzing the measured data, it shows that the noises which is introduced in the ECG signal by the baseline drift, power frequency, and electromyography, are removed more effectively, and also the characteristics of the original ECG signal are kept better.

Key words: electrocardiogram signal, stationary wavelet transform, threshold function, denoising

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