• DocumentCode
    2478303
  • Title

    Analysis of the vascular sounds of the arteriovenous fistula´s anastomosis

  • Author

    Munguia, M.M. ; Mandersson, Bengt

  • Author_Institution
    Fac. of Electr. Eng. & Comput. Sci., Nat. Univ. of Eng., Managua, Nicaragua
  • fYear
    2011
  • fDate
    Aug. 30 2011-Sept. 3 2011
  • Firstpage
    3784
  • Lastpage
    3787
  • Abstract
    In this paper, the vascular sounds of the arteriovenous fistula at the anastomosis and five centimeters downstream the anastomosis were analyzed. The analysis of the sounds was based on features extracted from the power spectral density (PSD) and wavelet decomposition. The database consists of 15 recordings at the anastomosis and 15 reference recordings obtained from 15 patients. The results showed that the vascular sounds at the anastomosis can be characterized as an extra energy in the higher frequencies (200-1000 Hz) i.e. higher mean frequency of the PSD than the reference recordings. Moreover, the wavelet decomposition of the anastomosis recordings showed a similar energy pattern, in the finer scales, to that found in studies of arterial and venous stenosis.
  • Keywords
    biomedical ultrasonics; blood vessels; feature extraction; haemodynamics; haemorheology; medical signal processing; wavelet transforms; arterial stenosis; arteriovenous fistula anastomosis; feature extraction; frequency 200 Hz to 1000 Hz; phonoangiographic signal; power spectral density; reference recordings; vascular sound analysis; venous stenosis; wavelet decomposition; Arteries; Databases; Educational institutions; Feature extraction; Time frequency analysis; Wavelet analysis; Wavelet transforms; Arteriovenous Shunt, Surgical; Database Management Systems; Humans; Phonocardiography; Renal Dialysis; Signal Processing, Computer-Assisted;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, EMBC, 2011 Annual International Conference of the IEEE
  • Conference_Location
    Boston, MA
  • ISSN
    1557-170X
  • Print_ISBN
    978-1-4244-4121-1
  • Electronic_ISBN
    1557-170X
  • Type

    conf

  • DOI
    10.1109/IEMBS.2011.6090647
  • Filename
    6090647