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An exploratory study of factors affecting single trial P300 detection
Ben H Jansen1, Anand Allam, Prashant Kota
1Department of Electrical and Computer Engineering, University of Houston, Houston, TX 77204-4005, USA. bjansen@uh.edu
IEEE Transactions on Bio-Medical Engineering
|June 11, 2004
Abstract:
A threshold detector for single-trial P300 detection has been evaluated. The detector operates on the 0-4 Hz band, isolated from the raw electroencephalogram using low-pass filtering, wavelet transforms, or the piecewise prony method (PPM). A detection rate around 70% was found, irregardless of stimulus type, interstimulus interval (ISI), probability of occurrence (Pr) of the target stimuli, intrasession and intersession effects, or filtering method. This suggests that P300-based brain-machine interfaces can use an ISI as short as 1 s and a Pr of 45%, to increase throughput.