• DocumentCode
    1250340
  • Title

    Wavelet applications in medicine

  • Author

    Akay, Metin

  • Author_Institution
    Dartmouth Coll., Hanover, NH, USA
  • Volume
    34
  • Issue
    5
  • fYear
    1997
  • fDate
    5/1/1997 12:00:00 AM
  • Firstpage
    50
  • Lastpage
    56
  • Abstract
    The author describes how, because of their compatibility with nonstationary random processes, wavelet transforms are particularly powerful when it comes to analyzing biomedical signals. In this paper, he presents a brief survey of the field which makes this fact clear. Applications discussed include detecting coronary artery disease, and heart sounds related to turbulent blood flow analysis
  • Keywords
    bioacoustics; cardiology; haemodynamics; medical signal processing; patient diagnosis; random processes; wavelet transforms; applications; biomedical signal processing; coronary artery disease; heart sounds; medical diagnosis; nonstationary random processes; signal analysis; turbulent blood flow analysis; wavelet transforms; Biomedical imaging; Fourier transforms; Frequency; Image analysis; Image resolution; Information analysis; Medical diagnostic imaging; Signal analysis; Signal processing; Wavelet analysis;
  • fLanguage
    English
  • Journal_Title
    Spectrum, IEEE
  • Publisher
    ieee
  • ISSN
    0018-9235
  • Type

    jour

  • DOI
    10.1109/6.590747
  • Filename
    590747