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Performance monitoring from the EEG power spectrum with a radial basis function neural network

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2 Author(s)
Kirk, B.P. ; Biomed. Eng. Lab., New Hampshire Univ., Durham, NH, USA ; LaCourse, J.R.

Length of vigilance is a major obstacle in jobs associated with low levels of arousal. To provide the highest levels of safety, the level of attention, particularly visual awareness, has to be monitored. A system has been designed, offline, as a precedent to a real-time awareness predictor. The electroencephalograph (EEG) is used as the major predictive data with a radial basis function network classifying the attention level

Published in:

Bioengineering Conference, 1997., Proceedings of the IEEE 1997 23rd Northeast

Date of Conference:

21-22 May 1997

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