Application of wavelet to the cancellation of ECG interference in diaphragmatic EMG

被引：0

作者：

Xie, Yan-Jiang ^{[1
]}

Yang, Zhi ^{[1
]}

Fan, Zheng-Ping ^{[1
]}

Luo, Yuan-Ming ^{[2
]}

机构：

[1] School of Information Science and Technology, Sun Yat-Sen University, Guangzhou, Guangdong 510275, China

[2] Guangzhou Institute of Respiratory Disease, Guangzhou, Guangdong 510120, China

来源：

Tien Tzu Hsueh Pao/Acta Electronica Sinica | 2010年 / 38卷 / 02期

关键词：

Cancellation algorithms - Correlation coefficient - Electromyographic - Electromyographic signal - Signal characteristic - Wavelet coefficients - Wavelet threshold;

D O I：

暂无

中图分类号：

学科分类号：

摘要：

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.

引用

页码：366 / 370

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