Power Line Interference tracking in ECG signal using State Space RLS

Author

Butt, Muhammad ; Razzaq, Nauman ; Sadiq, Ismail ; Salman, Molly ; Zaidi, Tahir

Author_Institution

Coll. of Electr. & Mech. Eng., Nat. Univ. of Sci. & Technol., Rawalpindi, Pakistan

fYear

2013

fDate

19-21 June 2013

Firstpage

211

Lastpage

215

Abstract

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.

Keywords

electrocardiography; frequency estimation; interference suppression; least squares approximations; medical signal processing; signal denoising; source separation; ECG signal elimination; PLI amplitude; PLI phase; State Space Recursive Least Squares algorithm; adaptive noise cancellation; frequency estimation; frequency estimator; power line interference tracking; reference power line signal separation; sinusoidal state-spaced model; unknown frequency; Adaptive filters; Conferences; Electrocardiography; Filtering algorithms; Power harmonic filters; Signal to noise ratio; ECG; PLI; SSRLS; adaptive noise cancellation;

fLanguage

English

Publisher

ieee

Conference_Titel

Industrial Electronics and Applications (ICIEA), 2013 8th IEEE Conference on

Conference_Location

Melbourne, VIC

Print_ISBN

978-1-4673-6320-4

Type

conf

DOI

10.1109/ICIEA.2013.6566367

Filename

6566367