TY - JOUR
T1 - A method for optimizing EEG electrode number and configuration for signal acquisition in P300 speller systems
AU - Speier, William
AU - Deshpande, Aniket
AU - Pouratian, Nader
N1 - Funding Information:
This work was supported by the NIH / NIBIB Medical Imaging Informatics Training Grant T32 EB016640 (WS), the National Institute of Biomedical Imaging and Bioengineering Award Number K23EB014326 (NP), and the UCLA Scholars in Translational Medicine Program (NP).
Publisher Copyright:
© 2014 International Federation of Clinical Neurophysiology.
PY - 2015/6/1
Y1 - 2015/6/1
N2 - Objective: The P300 speller is intended to restore communication to patients with advanced neuromuscular disorders, but clinical implementation may be hindered by several factors, including system setup, burden, and cost. Our goal was to develop a method that can overcome these barriers by optimizing EEG electrode number and placement for P300 studies within a population of subjects. Methods: A Gibbs sampling method was developed to find the optimal electrode configuration given a set of P300 speller data. The method was tested on a set of data from 15 healthy subjects using an established 32-electrode pattern. Resulting electrode configurations were then validated using online prospective testing with a naïve Bayes classifier in 15 additional healthy subjects. Results: The method yielded a set of four posterior electrodes (PO8, PO7, POZ, CPZ), which produced results that are likely sufficient to be clinically effective. In online prospective validation testing, no significant difference was found between subjects' performances using the reduced and the full electrode configurations. Conclusions: The proposed method can find reduced sets of electrodes within a subject population without reducing performance. Significance: Reducing the number of channels may reduce costs, set-up time, signal bandwidth, and computation requirements for practical online P300 speller implementation.
AB - Objective: The P300 speller is intended to restore communication to patients with advanced neuromuscular disorders, but clinical implementation may be hindered by several factors, including system setup, burden, and cost. Our goal was to develop a method that can overcome these barriers by optimizing EEG electrode number and placement for P300 studies within a population of subjects. Methods: A Gibbs sampling method was developed to find the optimal electrode configuration given a set of P300 speller data. The method was tested on a set of data from 15 healthy subjects using an established 32-electrode pattern. Resulting electrode configurations were then validated using online prospective testing with a naïve Bayes classifier in 15 additional healthy subjects. Results: The method yielded a set of four posterior electrodes (PO8, PO7, POZ, CPZ), which produced results that are likely sufficient to be clinically effective. In online prospective validation testing, no significant difference was found between subjects' performances using the reduced and the full electrode configurations. Conclusions: The proposed method can find reduced sets of electrodes within a subject population without reducing performance. Significance: Reducing the number of channels may reduce costs, set-up time, signal bandwidth, and computation requirements for practical online P300 speller implementation.
KW - Brain-computer interface
KW - Electrode placement
KW - Event-related potential
KW - Natural language processing
KW - P300
KW - Speller
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U2 - 10.1016/j.clinph.2014.09.021
DO - 10.1016/j.clinph.2014.09.021
M3 - Article
C2 - 25316166
AN - SCOPUS:84928742272
SN - 1388-2457
VL - 126
SP - 1171
EP - 1177
JO - Electroencephalography and Clinical Neurophysiology - Electromyography and Motor Control
JF - Electroencephalography and Clinical Neurophysiology - Electromyography and Motor Control
IS - 6
ER -