DocumentCode
1819641
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
fYear
1996
fDate
14-15 Mar 1996
Firstpage
117
Lastpage
118
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;
fLanguage
English
Publisher
ieee
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
Type
conf
DOI
10.1109/NEBC.1996.503245
Filename
503245
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