• DocumentCode
    155834
  • Title

    Noise reduction and lossless ECG encoding

  • Author

    Dhar, Sudipta ; Mukhopadhyay, S.K. ; Mitra, Subhasish ; Baig, Mirza Mansoor ; Mitra, M.

  • Author_Institution
    Dept. of Appl. Phys., Univ. of Calcutta, Kolkata, India
  • fYear
    2014
  • fDate
    Jan. 31 2014-Feb. 2 2014
  • Firstpage
    210
  • Lastpage
    213
  • Abstract
    This paper proposes an efficient technique to eliminate high frequency and power line interference noise from digitized Electrocardiogram (ECG) signal and compression of that enhanced signal in a lossless manner. ECG data of different diseases taken from PTB diagnostic ECG database (PTB-DB) is used to test the performance of the module. At first, contaminated ECG signal is passed through a Butterworth lowpass filter to remove high frequency noises whose order is chosen on experimental basis. To remove power line interference noise, an IIR notch filter is designed properly. Enhanced signal is compressed using a strict lossless technique. The proposed module can reduce noise as well as ECG data file size efficiently.
  • Keywords
    Butterworth filters; electrocardiography; interference (signal); low-pass filters; medical signal processing; Butterworth lowpass filter; ECG data file size; IIR notch filter; PTB diagnostic ECG database; PTB-DB; contaminated ECG signal; digitized electrocardiogram signal; enhanced signal compression; high frequency noise; lossless ECG encoding; lossless technique; noise reduction; power line interference noise; Digital filters; Electrocardiography; Filter banks; IIR filters; Noise; Noise reduction; ASCII Character; Butterworth Lowpass; Grouping; IIR Notch;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control, Instrumentation, Energy and Communication (CIEC), 2014 International Conference on
  • Conference_Location
    Calcutta
  • Type

    conf

  • DOI
    10.1109/CIEC.2014.6959080
  • Filename
    6959080