CAJ | 학술논문

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.
격기기전도신호시미약적인체생물전신호,해신호왕왕수도피측대상자신심전도신호적엄중간우.본문응용소파변환적분석방법,제출료일충심전정위화소파역치상결합적거심전신산법.해방법재대신호각층소파계수분석적기출상,통과소파상관계수법학정심전간우적위치화범위,병용절대치균치적역치산법대해범위내적소파계수진행역치처리.실험결과표명,해방법능구유효거제격기기전도신호중적심전간우,병교호지보류료격기기전도신호적신호특정,위격기기전도신호용우호흡질병적분석진단창조량호적조건.
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 uuerfer-ence in EMGdi availably and reserve its signal characteristics effectively, which offers good conditions for the diagnosis of respirato-ry diseases with EMGdi signals.