计算机应用 ›› 2013, Vol. 33 ›› Issue (09): 2679-2682.DOI: 10.11772/j.issn.1001-9081.2013.09.2679

• 典型应用 • 上一篇    下一篇

自适应小波尺度谱阈值在膈肌信号降噪的应用

杨智,罗国,袁芳芳   

  1. 中山大学 信息科学与技术学院,广州 510006
  • 收稿日期:2013-04-01 修回日期:2013-05-10 出版日期:2013-09-01 发布日期:2013-10-18
  • 通讯作者: 杨智
  • 作者简介:杨智(1961-),男,云南大理人,教授,主要研究方向:复杂系统的建模与控制、医学信号处理自动化装置;
    罗国(1988-),男,广东兴宁人,硕士研究生,主要研究方向:生物医学信号的检测与处理;
    袁芳芳(1989-),女,湖南邵阳人,硕士研究生,主要研究方向:智能交通信息处理。
  • 基金资助:

    国家自然科学基金资助项目

Application of adaptive wavelet scalogram threshold in diaphragmatic electromyographic signal denoising

YANG Zhi,LUO Guo,YUAN Fangfang   

  1. School of Information Science and Technology, Sun Yat-sen University, Guangzhou Guangdong 510006, China
  • Received:2013-04-01 Revised:2013-05-10 Online:2013-10-18 Published:2013-09-01
  • Contact: YANG Zhi

摘要: 膈肌肌电信号是人体微弱的生物电信号,此信号常受到心电信号的严重干扰。为了提高阈值在膈肌肌电信号降噪的准确度,提出了一种小波尺度谱阈值自适应的降噪算法。该算法先对膈肌肌电信号进行小波变换,再把小波系数转化为小波尺度谱,然后确定心电干扰位置,并且根据心电邻域小波能量自动调整阈值从而去除心电干扰。通过对膈肌肌电信号进行实验分析,并且与小波阈值方法进行对比,结果表明该方法降低了心电干扰并且保留了膈肌肌电信号的特征。

关键词: 小波尺度谱, 阈值自适应, 心电干扰, 膈肌肌电信号

Abstract: As weak bioelectricity signals, diaphragmatic electromyographic (EMGdi) signals are always corrupted by strong electrocardiography (ECG) signals. A denoising algorithm based on wavelet scalogram adaptive threshold was proposed in this paper to improve the precision of threshold in EMGdi signal denoising. This algorithm found the position of ECG interference by performing wavelet transform on the EMGdi signals and conveying wavelet coefficients to wavelet scalogram, and then automatically adjusted the threshold by ECG neighborhood wavelet energy in order to remove ECG interference. By comparing the results with the wavelet threshold, it shows that the proposed method can eliminate the ECG interference from EMGdi and reserve EMGdi signal characteristics effectively.

Key words: wavelet scalogram, adaptive threshold, electrocardiography (ECG) interference, diaphragmatic electromyographic (EMGdi) signal

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