• DocumentCode
    3050479
  • Title

    Instantaneous Frequency Estimation of Diastolic Murmurs Based on EMD and TEO

  • Author

    Zhao Zhidong ; Pan Min

  • Author_Institution
    Sch. of Commun. Eng., Hangzhou Dianzi Univ., Hangzhou
  • fYear
    2007
  • fDate
    6-8 July 2007
  • Firstpage
    829
  • Lastpage
    832
  • Abstract
    The algorithm based on the Empirical Mode Decomposition (EMD) and Teager Energy Operation (TEO) is proposed as effective approach for estimating the instantaneous frequency of diastolic murmurs. EMD can adaptively decompose signal into a series of zero mean Amplitude Modulation- Frequency Modulation (AM-FM) Intrinsic Mode Functions (IMFs). TEO are capable of tracking the instantaneous frequency of the AM-FM component at any time instant. Two simulated signals are conducted to evaluate the effectiveness of the proposed method. Results show that the method can well identify the instantaneous frequency and gives the accurate estimation. In end, the instantaneous frequencies of diastolic murmurs from clinic coronary artery disease object and normal object are estimated using the method. Results indicate that instantaneous frequencies have obvious differences between patient and normal; Instantaneous frequency of diastolic murmurs provides a strong basis for the detection of heart attacks.
  • Keywords
    biomechanics; blood vessels; cardiology; diseases; medical signal processing; amplitude modulation-frequency modulation intrinsic mode functions; coronary artery disease; diastolic murmurs; empirical mode decomposition; heart attack detection; instantaneous frequency estimation; teager energy operation; Amplitude modulation; Biomedical engineering; Cardiac arrest; Cardiology; Coronary arteriosclerosis; Educational institutions; Frequency estimation; Heart; Power engineering and energy; Signal processing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Bioinformatics and Biomedical Engineering, 2007. ICBBE 2007. The 1st International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    1-4244-1120-3
  • Type

    conf

  • DOI
    10.1109/ICBBE.2007.216
  • Filename
    4272700