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
Link To Document :
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