• DocumentCode
    169954
  • Title

    Identification of fundamental heart sounds from PCG using blanket fractal dimension

  • Author

    Paskas, Milorad P. ; Gavrovska, Ana M. ; Reljin, Natasa B.

  • Author_Institution
    Innovation Center of Sch. of Electr. Eng., Univ. of Belgrade, Belgrade, Serbia
  • fYear
    2014
  • fDate
    25-28 May 2014
  • Firstpage
    123
  • Lastpage
    124
  • Abstract
    Paper introduces a new approach for S1 versus S2 heart sound classification. The blanket fractal dimension is used for the first time for recognizing a heart sound candidate as S1 or S2 without the use of synchronous electrocardiogram. Even though the systole and diastole duration is not calculated for further improvement of the results, the obtained accuracy is more than 80% without any prior knowledge of patients´ health issues.
  • Keywords
    fractals; image classification; medical image processing; phonocardiography; ultrasonic imaging; PCG; S1 heart sound classification; S2 heart sound classification; blanket fractal dimension; fundamental heart sound identification; heart sound recognition; patient health issues; Accuracy; Electrocardiography; Fractals; Heart; Phonocardiography; Support vector machines; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cardiovascular Oscillations (ESGCO), 2014 8th Conference of the European Study Group on
  • Conference_Location
    Trento
  • Type

    conf

  • DOI
    10.1109/ESGCO.2014.6847550
  • Filename
    6847550