Title :
Estimating level of alertness from EEG
Author :
Jung, Tzyy-Ping ; Makeig, Scott
Author_Institution :
Comput. Neurobiol. Lab., Salk Inst., La Jolla, CA, USA
Abstract :
Changes in EEG power collected at two sites from 10 subjects accompany slow and irregular fluctuations in alertness level. By merging power spectrum estimation, principal component analysis, and artificial neural networks, it is very feasible to accurately estimate shifts in an operator´s level of alertness
Keywords :
electroencephalography; EEG; EEG power; alertness level estimation; artificial neural networks; auditory signals; irregular fluctuations; operator; power spectrum estimation; principal component analysis; slow fluctuations; three level perceptrons; two level perceptrons; Acoustic noise; Artificial neural networks; Background noise; Electroencephalography; Error analysis; Fluctuations; Frequency; Principal component analysis; Probes; Spectral analysis;
Conference_Titel :
Engineering in Medicine and Biology Society, 1994. Engineering Advances: New Opportunities for Biomedical Engineers. Proceedings of the 16th Annual International Conference of the IEEE
Conference_Location :
Baltimore, MD
Print_ISBN :
0-7803-2050-6
DOI :
10.1109/IEMBS.1994.415344
