Title :
Detecting lapses in visual awareness from the EEG power spectrum with a neural network
Author :
Kirk, Brian P. ; LaCourse, John R.
Author_Institution :
Dept. of Electr. & Comput. Eng., New Hampshire Univ., Durham, NH, USA
Abstract :
A system has been developed to monitor a subject´s level of visual awareness. A continuous set of visual stimuli, some common and others considered rare, is presented to a subject. The electroencephalographic (EEG) spectrum is monitored using a neural network to predict a missed, rare stimulus
Keywords :
electroencephalography; medical signal processing; neural nets; spectral analysis; visual perception; EEG power spectrum; common stimuli; continuous visual stimuli set; missed stimuli; monotonous monitoring tasks; rare stimuli; subject´s performance; vigilance length; visual awareness lapses detection; Biomedical engineering; Biomedical monitoring; Computerized monitoring; Electroencephalography; Frequency; Intelligent networks; Kirk field collapse effect; Neural networks; Shape; Testing;
Conference_Titel :
Bioengineering Conference, 1996., Proceedings of the 1996 IEEE Twenty-Second Annual Northeast
Conference_Location :
New Brunswick, NJ
Print_ISBN :
0-7803-3204-0
DOI :
10.1109/NEBC.1996.503245
