ECG Signal De-noising Based on Wavelet Transform and Morphological Filtering

被引：0

作者：

Zhang, Dan ^{[1
]}

Sui, Wentao ^{[1
]}

机构：

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

来源：

PROCEEDINGS OF 2010 INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY AND INDUSTRIAL ENGINEERING, VOLS I AND II | 2010年

关键词：

ECG signal; de-noising; wavelet transform (WT); morphological filtering;

D O I：

暂无

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

The acquisition of ECG signals are often contaminated with different sources of noise which make interpretation difficult. In order to the improve the signal-to-noise ratio (SNR), a method based on wavelet algorithm and morphological filtering is proposed. The morphological filters is used to eliminate the baseline wandering, and the wavelet transform is applied to remove high frequency interference. The results show that the method is effective.

引用

页码：551 / 554

页数：4

共 4 条

[1]

Krishnan S.M., 2007, ADV CARDIAC SIGNAL P, P311

[2]

SERRA I, 1982, IMAGE ANAL MATH MORP

[3] ECG signal conditioning by morphological filtering [J].

Sun, Y ;

Chan, KL ;

Krishnan, SM .

COMPUTERS IN BIOLOGY AND MEDICINE, 2002, 32 (06) :465-479

[4] Mathematical morphology based ECG feature extraction for the purpose of heartbeat classification [J].

Tadejko, Pawel ;

Rakowski, Waldemar .

6TH INTERNATIONAL CONFERENCE ON COMPUTER INFORMATION SYSTEMS AND INDUSTRIAL MANAGEMENT APPLICATIONS, PROCEEDINGS, 2007, :322-+

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