• DocumentCode
    3472620
  • Title

    An intelligent adaptive filter for fast tracking and elimination of power line interference from ECG signal

  • Author

    Razzaq, Nauman ; Butt, Muhammad ; Salman, Molly ; Ali, Raian ; Sadiq, Ismail ; Munawar, Khalid ; Zaidi, Tahir

  • Author_Institution
    Coll. of Electr. & Mech. Eng., Nat. Univ. of Sci. & Technol., Islamabad, Pakistan
  • fYear
    2013
  • fDate
    20-22 June 2013
  • Firstpage
    251
  • Lastpage
    256
  • Abstract
    The ECG (Electrocardiogram) signal reflects the electrical activity of the heart. Since amplitude of ECG signal is of order of few mV, it is susceptible to many types of noises and amongst which the most disturbing is power line interference (PLI). Variations in frequency of PLI further complicate the problem which can be taken care by implementation of adaptive notch filter (ANF). ANF normally requires a reference input which is not possible in all cases. In this paper, we have proposed an intelligent adaptive filter which does not require a reference input. Proposed method first detects the frequency of PLI noise then adaptively tracks and eliminates PLI from ECG signal.
  • Keywords
    adaptive filters; electrocardiography; medical signal processing; notch filters; signal denoising; ECG signal amplitude; adaptive notch filter; electrical activity; electrocardiogram; heart; intelligent adaptive filter; noises; power line interference elimination; power line interference fast-tracking; Adaptive filters; Computational modeling; Discrete Fourier transforms; Electrocardiography; Frequency estimation; Interference; Noise;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer-Based Medical Systems (CBMS), 2013 IEEE 26th International Symposium on
  • Conference_Location
    Porto
  • Type

    conf

  • DOI
    10.1109/CBMS.2013.6627797
  • Filename
    6627797