• DocumentCode
    2984392
  • Title

    A methodology for the reduction of false alarm rates in artificial intelligence-based loss of consciousness monitoring systems

  • Author

    van Patten, R.E.

  • Author_Institution
    Harry G. Armstrong Aerosp. Med. Res. Lab., Wright Patterson AFB, OH, USA
  • fYear
    1988
  • fDate
    23-27 May 1988
  • Firstpage
    881
  • Abstract
    A rationale, based on physiological data, is discussed for the design of a maneuver space boundary such that air combat maneuvres within that boundary will constitute an indicator that a G-induced loss of consciousness (GLOC) is unlikely. Maneuvers performed above that space (of G´s and time) will serve to confirm indications from other sensors that a GLOC is possible and likely
  • Keywords
    aerospace biophysics; aerospace computing; aircraft instrumentation; artificial intelligence; biomedical equipment; computerised monitoring; medical computing; G-induced loss of consciousness; GLOC; artificial intelligence leased monitoring system; false alarm rates; maneuver space boundary; physiological data; Acceleration; Aerospace industry; Artificial intelligence; Biomedical monitoring; Capacitive sensors; Decision making; Fatigue; Intelligent sensors; Laboratories; Protection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Aerospace and Electronics Conference, 1988. NAECON 1988., Proceedings of the IEEE 1988 National
  • Conference_Location
    Dayton, OH
  • Type

    conf

  • DOI
    10.1109/NAECON.1988.195110
  • Filename
    195110