Baseline wander removal of ECG signals using Hilbert vibration decomposition

被引：40

作者：

Sharma, H. ^{[1
]}

Sharma, K. K. ^{[1
]}

机构：

[1] Malviya Natl Inst Technol, Dept Elect & Commun, Jaipur 302017, Rajasthan, India

来源：

ELECTRONICS LETTERS | 2015年 / 51卷 / 06期

关键词：

array signal processing; covariance matrices; eigenvalues and eigenfunctions; low-complexity correlation coefficient calculation algorithms; reconstructed covariance matrix; steering vector estimation; spatial spectrum estimator; interference-plus-noise; IPN covariance matrix; ASV estimation process; eigenvectors; robust adaptive beamforming method; ASV imperfections; signal-to-interference-plus-noise ratio; SINR enhancement; NORMALIZATION;

D O I：

10.1049/el.2014.4076

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：

A technique to remove baseline wander (BW) from electrocardiogram (ECG) signals based on the Hilbert vibration decomposition (HVD) technique is presented. It is proposed that the first component (highest energy component) obtained using the HVD of the ECG signal corresponds to the BW signal in it. The proposed technique is compared with the baseline removal method based on the empirical mode decomposition technique and mathematical morphology in terms of the correlation criterion and signal-to-noise ratio. The simulations were performed using artificial BWs of different amplitudes added in the ECG recordings and it is seen that the proposed technique for BW removal performs better in most of the cases of severe baseline wander distortions.

引用

页码：447 / 448

页数：2

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