• 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