Characterization and robust classification of EEG signal from image RSVP events with independent time-frequency features.
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Electrode replacement does not affect classification accuracy in dual-session use of a passive brain-computer interface for assessing cognitive workloadCancer Progression Prediction Using Gene Interaction Regularized Elastic Net.Classification of imperfectly time-locked image RSVP events with EEG device.
P2860
Characterization and robust classification of EEG signal from image RSVP events with independent time-frequency features.
description
2012 nî lūn-bûn
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name
Characterization and robust cl ...... ndent time-frequency features.
@en
Characterization and robust cl ...... ndent time-frequency features.
@nl
type
label
Characterization and robust cl ...... ndent time-frequency features.
@en
Characterization and robust cl ...... ndent time-frequency features.
@nl
prefLabel
Characterization and robust cl ...... ndent time-frequency features.
@en
Characterization and robust cl ...... ndent time-frequency features.
@nl
P2093
P2860
P1433
P1476
Characterization and robust cl ...... ndent time-frequency features.
@en
P2093
Kay Robbins
Lenis Mauricio Meriño
Nima Bigdely Shamlo
Yufei Huang
P2860
P304
P356
10.1371/JOURNAL.PONE.0044464
P407
P577
2012-09-18T00:00:00Z