• DocumentCode
    573593
  • Title

    A PLL based adaptive power line interference filtering from ECG signals

  • Author

    Zadeh, M. M Zeinali ; Niketeghad, S. ; Amirfattahi, R.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Isfahan Univ. of Technol., Isfahan, Iran
  • fYear
    2012
  • fDate
    2-3 May 2012
  • Firstpage
    490
  • Lastpage
    496
  • Abstract
    One of the challenges for electrocardiogram (ECG) signals extraction is additive power line interference (PLI) which contains 50Hz or 60Hz base frequency and several harmonics. Variety of fixed-frequency and adaptive notch filter structures are proposed for power line interference suppression. Because of frequency varying behavior of power line interference, fixed frequency filters suffer from the problem of low noise attenuation rate when the interference frequencies drift from their nominal values, and also signal amplitude and phase destruction around interference frequencies due to relatively high notching bandwidth. On the other hand adaptive filters are given high calculation costs. In this paper we propose a real-time, low calculation cost adaptive notch filter, using phase-locked loop (PLL). Experimental results show that in extremely noisy environments where input SNR is around - 20dB, average SNR enhancement of proposed method is approximately 40dB. This value is also as good as 35dB for -10dB input SNR.
  • Keywords
    adaptive filters; electrocardiography; interference (signal); interference suppression; medical signal processing; notch filters; phase locked loops; ECG signals; PLL based adaptive power line interference filtering; adaptive notch filter; electrocardiogram signals; fixed-frequency filter; frequency 50 Hz; frequency 60 Hz; phase-locked loop; power line interference suppression; Adaptive filters; Bandwidth; Electrocardiography; IIR filters; Interference; Power harmonic filters; Signal to noise ratio; ECG signals; adaptive notch filter; phase-locked loop; power line interference;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Artificial Intelligence and Signal Processing (AISP), 2012 16th CSI International Symposium on
  • Conference_Location
    Shiraz, Fars
  • Print_ISBN
    978-1-4673-1478-7
  • Type

    conf

  • DOI
    10.1109/AISP.2012.6313797
  • Filename
    6313797