• DocumentCode
    2423143
  • Title

    Analysis of doppler ultrasound signals: Ophthalmic arterial disorders detection case

  • Author

    Übeyli, Elif Derya

  • Author_Institution
    Dept. of Electr. & Electron. Eng., TOBB Econ. & Technol. Univ., Ankara, Turkey
  • fYear
    2009
  • fDate
    3-6 Sept. 2009
  • Firstpage
    43
  • Lastpage
    46
  • Abstract
    The paper includes illustrative and detailed information about implementation of automated diagnostic systems and feature extraction/selection from signals recorded from ophthalmic arteries. The major objective of the paper is to be a guide for the readers, who want to develop an automated diagnostic systems for detection of arterial disorders. Toward achieving this objective, this paper present the techniques which should be considered in developing automated diagnostic systems. The paper will assist to the people in gaining a better understanding of the techniques in the detection of arterial disorders.
  • Keywords
    biology computing; biomedical ultrasonics; eye; medical diagnostic computing; medical signal processing; Doppler ultrasound signals; arterial disorders detection case; automated diagnostic systems; Spectral Analysis Techniques; automated diagnostic systems; feature extraction/selection; ophthalmic arterial disorders; Algorithms; Eye Diseases; Humans; Image Interpretation, Computer-Assisted; Ophthalmic Artery; Ophthalmoscopy; Pattern Recognition, Automated; Peripheral Vascular Diseases; Reproducibility of Results; Sensitivity and Specificity; Ultrasonography, Doppler;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 2009. EMBC 2009. Annual International Conference of the IEEE
  • Conference_Location
    Minneapolis, MN
  • ISSN
    1557-170X
  • Print_ISBN
    978-1-4244-3296-7
  • Electronic_ISBN
    1557-170X
  • Type

    conf

  • DOI
    10.1109/IEMBS.2009.5335072
  • Filename
    5335072