• DocumentCode
    2154642
  • Title

    Advancing videometry through applications: quantification of neonatal seizures from video recordings

  • Author

    Karayiannis, Nicolaos B.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Houston Univ., TX, USA
  • Volume
    1
  • fYear
    2002
  • fDate
    2002
  • Firstpage
    11
  • Abstract
    This paper presents some recent advances in videometry that resulted from the development of video processing and analysis procedures designed to facilitate the quantification of neonatal seizures. This paper presents two automated procedures developed to extract temporal information from video recordings of neonatal seizures in the form of temporal motion strength and motor activity signals. These signals constitute an effective representation of videotaped clinical events and can be used in the development of an intelligent system for seizure recognition and characterization.
  • Keywords
    image motion analysis; image sequences; medical image processing; paediatrics; video signal processing; image sequences; motor activity signals; neonatal seizures; seizure characterization; seizure recognition; temporal motion strength signals; video analysis; video processing; video recordings; videometry; Application software; Buildings; Data mining; Focusing; Geometry; Humans; Information analysis; Intelligent systems; Pediatrics; Video recording;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Digital Signal Processing, 2002. DSP 2002. 2002 14th International Conference on
  • Print_ISBN
    0-7803-7503-3
  • Type

    conf

  • DOI
    10.1109/ICDSP.2002.1027807
  • Filename
    1027807