应用小波变换去除膈肌肌电图信号中的心电干扰  

Application of Wavelet to the Cancellation of ECG Interference in Diaphragmatic EMG

作　　者：谢燕江[1] 杨智[1] 范正平[1] 罗远明[2] 

机构地区：[1]中山大学信息科学与技术学院 [2]广州呼吸疾病研究所

出　　处：《电子学报》2010年第2期366-370,共5页Acta Electronica Sinica

基　　金：国家自然科学基金(No.60704045)

摘　　要：膈肌肌电图信号是微弱的人体生物电信号,该信号往往受到被测对象自身心电图信号的严重干扰.本文应用小波变换的分析方法,提出了一种心电定位和小波阈值相结合的去心电新算法.该方法在对信号各层小波系数分析的基础上,通过小波相关系数法确定心电干扰的位置和范围,并用绝对值均值的阈值算法对该范围内的小波系数进行阈值处理.实验结果表明,该方法能够有效去除膈肌肌电图信号中的心电干扰,并较好地保留了膈肌肌电图信号的信号特征,为膈肌肌电图信号用于呼吸疾病的分析诊断创造良好的条件.As weak bioelectricity signals,the diaphragmatic electromyographic （EMGdi） signals are always disturbed by the strong electrocardiography （ECG） signals. A new ECG cancellation algorithm with an application of wavelet analysis is presented in this paper, which combines ECG locating and wavelet threshold. According to the analysis of wavelet coefficients of different scales, this algorithm finds the range of ECG interference by the correlation coefficients, and then processes the coefficients in the ECG scope by a wavelet threshold algorithm of absolute mean. The experimental results show that the method cancels the ECG interference in EMGdi availably and reserve its signal characteristics effectively, which offers good conditions for the diagnosis of respiratory diseases with EMGdi signals.

关 键 词：信号处理 小波变换 膈肌肌电图信号 心电干扰 

分 类 号：TP24[自动化与计算机技术—检测技术与自动化装置]