Noise Reduction of ECG Signal based on Morphological Filtering and WT

被引：1

作者：

Zhang, Dan ^{[1
]}

Sui, Wentao ^{[2
]}

机构：

[1] Shandong Univ Technol, Sch Elect & Elect Engn, Zibo 255049, Peoples R China

[2] Shandong Univ Technol, Sch Mech Engn, Zibo 255049, Peoples R China

来源：

ADVANCED MEASUREMENT AND TEST, PARTS 1 AND 2 | 2010年 / 439-440卷

关键词：

Noise reduction; Morphological filtering; Wavelet transform (WT); ECG signal;

D O I：

10.4028/www.scientific.net/KEM.439-440.12

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

In order to eliminate the noise in ECG signal and increase the diagnosis efficiency, a method based on morphological filtering and wavelet algorithm is proposed. The morphological filters is used to filter out the baseline interference signal, and the wavelet transform is applied to remove high frequency interference. The experiment proves that the algorithm is effective.

引用

页码：12 / +

页数：2

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