Title :
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
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;
Conference_Titel :
Industrial Electronics and Applications (ICIEA), 2013 8th IEEE Conference on
Conference_Location :
Melbourne, VIC
Print_ISBN :
978-1-4673-6320-4
DOI :
10.1109/ICIEA.2013.6566367