• DocumentCode
    2037544
  • Title

    Does sample entropy reflect nonlinear characteristics of cardiovascular murmurs?

  • Author

    Schmidt, S.E. ; Græbe, M. ; Toft, E. ; Struijk, J.J.

  • Author_Institution
    Dept. of Health Sci. & Technol., Aalborg Univ., Aalborg, Denmark
  • fYear
    2009
  • fDate
    13-16 Sept. 2009
  • Firstpage
    685
  • Lastpage
    688
  • Abstract
    Sample entropy has been applied successfully for quantification of cardiovascular murmurs, but does sample entropy reflect nonlinear and chaotic characteristics of the murmurs? Seven digital audio recordings from subjects with audible carotid murmurs were recorded. Sample entropy was calculated from periods with and without murmurs and compared with sample entropy from surrogates with linear properties. None of the sample entropy measures from the recordings differed significantly from the surrogates with known linear properties. The sample entropy increased significantly in periods with audible murmurs compared to periods without. A similar difference was found between the surrogates of periods with and without murmurs. This confirms that sample entropy is suited for quantification of cardiovascular murmurs, but there is no evidence that nonlinear signal components of the murmursare present or affect the sample entropy.
  • Keywords
    acoustic signal processing; cardiovascular system; chaos; medical signal processing; patient diagnosis; audible murmurs; cardiovascular murmur chaotic characteristics; cardiovascular murmur nonlinear characteristics; digital audio recordings; sample entropy; surrogates; Audio recording; Biomedical measurements; Biomedical signal processing; Blood flow; Cardiology; Chaos; Entropy; Heart valves; Signal analysis; Stochastic processes;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computers in Cardiology, 2009
  • Conference_Location
    Park City, UT
  • ISSN
    0276-6547
  • Print_ISBN
    978-1-4244-7281-9
  • Electronic_ISBN
    0276-6547
  • Type

    conf

  • Filename
    5445292