Power Line Interference Tracking in ECG Signal using State Space RLS

被引：0

作者：

Butt, Maryam ^{[1
]}

Razzaq, Nauman ^{[1
]}

Sadiq, Ismail ^{[1
]}

Salman, Muhammad ^{[1
]}

Zaidi, Tahir ^{[1
]}

机构：

[1] Natl Univ Sci & Technol, Coll Elect & Mech Engn, Rawalpindi, Pakistan

来源：

PROCEEDINGS OF THE 2013 IEEE 8TH CONFERENCE ON INDUSTRIAL ELECTRONICS AND APPLICATIONS (ICIEA) | 2013年

关键词：

ECG; PLI; SSRLS; adaptive noise cancellation;

D O I：

暂无

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 this paper, we present an adaptive approach to Power Line Interference (PLI) tracking and elimination from ECG signal using State Space Recursive Least Squares (SSRLS) algorithm. The key benefit is that a separate reference power line signal is not required to track PLI signal having unknown frequency. Based on sinusoidal state-spaced model, SSRLS tracks the PLI using frequency estimate provided by a separate frequency estimator. SSRLS then locks on to the phase and amplitude of PLI for its subsequent elimination from ECG signal. Computer simulations carried out on simulated ECG signal demonstrate usefulness of the idea presented.

引用

页码：211 / 215

页数：5

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