• DocumentCode
    2313675
  • Title

    Delineation of systolic murmurs by autoregressive modelling

  • Author

    Ning, Taikang ; Hsieh, Kai-Sheng

  • Author_Institution
    Dept. of Eng. & Comput. Sci., Trinity Coll., Hartford, CT, USA
  • fYear
    1995
  • fDate
    22-23 May 1995
  • Firstpage
    19
  • Lastpage
    21
  • Abstract
    Autoregressive (AR) models are used in this paper to delineate four types of systolic murmurs. The study shows that second order AR models can be effectively utilized to extract quantitative measures to accurately characterize different heart sound episodes
  • Keywords
    autoregressive processes; bioacoustics; cardiology; medical signal processing; physiological models; autoregressive modelling; diagnostic method; heart sound episodes characterization; heart sounds; quantitative measures; second order models; systolic murmurs delineation; Cardiovascular system; Computer science; Ear; Educational institutions; Frequency estimation; Heart; Humans; Power system modeling; Reactive power; Variable speed drives;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Bioengineering Conference, 1995., Proceedings of the 1995 IEEE 21st Annual Northeast
  • Conference_Location
    Bar Harbor, ME
  • Print_ISBN
    0-7803-2692-X
  • Type

    conf

  • DOI
    10.1109/NEBC.1995.513717
  • Filename
    513717
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2313675