• DocumentCode
    1920402
  • Title

    The shortage of WVD in analyzing abnormal ECG signal

  • Author

    Mousa, Allam ; Saleem, Rashid

  • Author_Institution
    Electr. Eng. Dept., An Najah Univ., Nablus, Palestinian Authority
  • fYear
    2010
  • fDate
    3-5 Oct. 2010
  • Firstpage
    651
  • Lastpage
    654
  • Abstract
    Biomedical signals are usually non-stationary, multi component ones. The use of time-frequency analysis can be inevitable for these signals. The choice and selection of the proper Time-Frequency Distribution that can reveal the exact multi component structure of biological signals is vital in many applications, including the diagnosis of medical abnormalities. In this paper, the instantaneous frequency techniques, using Wigner-Ville Distribution, is applied for analysis of biological signals. The simulation performed on normal and abnormal cardiac signals shows that the Wigner-Ville Distribution is able to detect the QRS complexes in the normal signal but fails to detect these complexes in the abnormal cardiac signal.
  • Keywords
    Wigner distribution; electrocardiography; medical signal detection; patient diagnosis; time-frequency analysis; QRS complexes; WVD; Wigner-Ville distribution; abnormal ECG signal; abnormal cardiac signals; biological signals; biomedical signals; instantaneous frequency techniques; medical abnormality diagnosis; multi component signals; multi component structure; non-stationary signals; signal detection; time-frequency analysis; time-frequency distribution; Electrocardiography; Heart; Signal resolution; Three dimensional displays; Time domain analysis; Time frequency analysis; Cardiac signal; ECG; TFD; Wigner-Ville Distribution;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Electronics & Applications (ISIEA), 2010 IEEE Symposium on
  • Conference_Location
    Penang
  • Print_ISBN
    978-1-4244-7645-9
  • Type

    conf

  • DOI
    10.1109/ISIEA.2010.5679386
  • Filename
    5679386