• DocumentCode
    3046510
  • Title

    ECG power line interference removal using combination of FFT and adaptive non-linear noise estimator

  • Author

    Shirbani, Fatemeh ; Setarehdan, Seyed Kamaledin

  • Author_Institution
    Sch. of Electr. & Comput. Eng., Univ. of Tehran, Tehran, Iran
  • fYear
    2013
  • fDate
    14-16 May 2013
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Modern ECG instruments have a very high common mode rejection ratio to reduce power-line interference noise as much as possible. Nevertheless, the residual power-line noise should be eliminated. Due to the fact that, the central frequency of power-line may alters about ±1Hz and the desired signals around the central frequency should not be attenuated, applying the ideal notch filter with a fixed frequency or a band stop filter is not practical. Benefitting from the powerful microcontroller STM32F4 in a new brand of Electrocardiograph instrument “Araz630”, we present a low cost efficient method of powerline noise removal. This method includes an FFT-based algorithm to find the center frequency of power-line and then subtracting the noise estimated by adaptive non-linear algorithm. In our implementation, we achieve between 30 to 35 dB of cancellation of the fundamental power-line noise component and the central frequency is obtained by the resolution of 0.1 Hz.
  • Keywords
    adaptive estimation; adaptive signal detection; bioelectric potentials; electrocardiography; fast Fourier transforms; interference suppression; medical signal detection; medical signal processing; noise; signal denoising; Araz630; ECG power line interference removal; FFT-based algorithm; adaptive nonlinear algorithm; adaptive nonlinear noise estimator; central frequency; electrocardiograph instrument; microcontroller STM32F4; Digital filters; Electrocardiography; Equations; IIR filters; Interference; Noise; Time-frequency analysis; Adaptive noise estimation; CMSIS DSP; STM32F4; power-line noise;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical Engineering (ICEE), 2013 21st Iranian Conference on
  • Conference_Location
    Mashhad
  • Type

    conf

  • DOI
    10.1109/IranianCEE.2013.6599622
  • Filename
    6599622