DocumentCode :
606959
Title :
Power Line Interference removal from ECG signal using SSRLS algorithm
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 :
8-10 March 2013
Firstpage :
95
Lastpage :
98
Abstract :
An electrocardiogram (ECG) signal may be affected by different types of disturbances/noises e.g. Power Line Interference (PLI), baseline wander, motion artifacts etc. Removing such disturbing signals from an ECG signal is the key to its accurate analysis leading to diagnosis of potential disease(s). In this paper, we present State Space Recursive Least Squares (SSRLS) filter based method for removal of 50Hz PLI noise from an ECG signal. The results are encouraging when compared with notch filter of varying attenuation levels. Under varying PLI noise levels, the SSRLS filter is seen to show superior performance as compared to notch filter. This work is part of National Information & Communication Technologies Research and Development (ICT R&D) fund project done in collaboration with National Institute of Heart Diseases (NIHD), Pakistan.
Keywords :
adaptive filters; diseases; electrocardiography; interference suppression; least squares approximations; medical signal processing; notch filters; patient diagnosis; recursive estimation; ECG signal; ICT R&D fund project; NIHD; National Information & Communication Technologies Research and Development; National Institute of Heart Diseases; PLI noise removal; SSRLS algorithm; SSRLS filter based method; adaptive filters; baseline wander; disease diagnosis; disturbing signals; electrocardiogram signal; motion artifacts; notch filter; power line interference removal; state space recursive least squares filter based method; varying PLI noise levels; varying attenuation levels; Attenuation; Bandwidth; Electrocardiography; Noise; Noise measurement; Signal processing algorithms; Adaptive filtering; ECG; Notch filter; PLI; SSRLS;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing and its Applications (CSPA), 2013 IEEE 9th International Colloquium on
Conference_Location :
Kuala Lumpur
Print_ISBN :
978-1-4673-5608-4
Type :
conf
DOI :
10.1109/CSPA.2013.6530021
Filename :
6530021
Link To Document :
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