Real-time feature extraction of P300 component using adaptive nonlinear principal component analysis
<p>Abstract</p> <p>Background</p> <p>The electroencephalography (EEG) signals are known to involve the firings of neurons in the brain. The P300 wave is a high potential caused by an event-related stimulus. The detection of P300s included in the measured EEG signals is...
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
BMC
2011-09-01
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Series: | BioMedical Engineering OnLine |
Online Access: | http://www.biomedical-engineering-online.com/content/10/1/83 |