• DocumentCode
    3175047
  • Title

    Automatic extraction of physiological features from vibro-acoustic heart signals: correlation with echo-doppler

  • Author

    Amit, G. ; Gavriely, N. ; Lessick, J. ; Intrator, N.

  • Author_Institution
    Sch. of Comput. Sci., Tel Aviv Univ.
  • fYear
    2005
  • fDate
    25-28 Sept. 2005
  • Firstpage
    299
  • Lastpage
    302
  • Abstract
    The mechanical processes within the cardiovascular system produce low-frequency vibrations and sounds. These vibro-acoustic signals carry valuable physiological information that can be potentially used for cardiac monitoring. In this work, heart sounds, apical pulse, and arterial pulse signals were simultaneously acquired, along with electrocardiogram and echo-Doppler audio signals. Processing algorithms were developed to extract temporal and morphological feature from the signals. Spectral analysis was used to reconstruct the Doppler sonograms and estimate reference values. A good agreement was observed between systolic and diastolic time intervals estimated by both methods. Strong beat-to-beat correlations were shown both in rest and during pharmacological stress test. The results demonstrate the technological and medical feasibility of using automatic analysis of vibro-acoustic heart signals for continuous non-invasive monitoring of cardiac functionality
  • Keywords
    bioacoustics; biomedical ultrasonics; blood vessels; cardiovascular system; electrocardiography; feature extraction; Doppler sonogram reconstruction; apical pulse; arterial pulse signal; automatic physiological feature extraction; beat-to-beat correlation; cardiac functionality; cardiac monitoring; cardiovascular system; diastolic time interval; echo-Doppler audio signal; electrocardiogram; heart sound; low-frequency vibration; mechanical process; noninvasive monitoring; pharmacological stress test; physiological information; processing algorithm; spectral analysis; systolic time interval; vibro-acoustic heart signal; Biomedical monitoring; Cardiovascular system; Data mining; Feature extraction; Heart; Signal processing; Sonogram; Spectral analysis; Stress; Vibrations;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computers in Cardiology, 2005
  • Conference_Location
    Lyon
  • Print_ISBN
    0-7803-9337-6
  • Type

    conf

  • DOI
    10.1109/CIC.2005.1588096
  • Filename
    1588096