Comparison of feature selection and classification methods for a brain-computer interface driven by non-motor imagery

scientific article published on 30 December 2009

Comparison of feature selection and classification methods for a brain-computer interface driven by non-motor imagery is …
instance of (P31):
scholarly articleQ13442814

External links are
P8978DBLP publication IDjournals/mbec/CabreraFD10
P356DOI10.1007/S11517-009-0569-2
P698PubMed publication ID20041311
P5875ResearchGate publication ID40813064

P2093author name stringDario Farina
Alvaro Fuentes Cabrera
Kim Dremstrup
P2860cites workComparison of linear, nonlinear, and feature selection methods for EEG signal classificationQ30482518
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A brain-computer interface (BCI) for the locked-in: comparison of different EEG classifications for the thought translation deviceQ34191749
A review of classification algorithms for EEG-based brain-computer interfaces.Q36780462
Bipolar electrode selection for a motor imagery based brain-computer interfaceQ47376551
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Optimization of wavelets for classification of movement-related cortical potentials generated by variation of force-related parameters.Q48253965
Electroencephalographic(EEG)-based communication: EEG control versus system performance in humansQ48273420
Design and implementation of a brain-computer interface with high transfer ratesQ48471228
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An EEG-based brain-computer interface for cursor controlQ48788720
On-line EEG classification during externally-paced hand movements using a neural network-based classifierQ48868178
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Support vector channel selection in BCI.Q51940214
Linear classification of low-resolution EEG patterns produced by imagined hand movements.Q51975781
The mental prosthesis: assessing the speed of a P300-based brain-computer interface.Q51975782
EEG-based brain computer interface (BCI). Search for optimal electrode positions and frequency components.Q52210873
Selection of electrode positions for an EEG-based brain computer interface (BCI).Q52214087
Brain-computer interface (BCI) operation: signal and noise during early training sessionsQ81120025
P433issue2
P921main subjectfeature selectionQ446488
brain–computer interfaceQ897410
P304page(s)123-132
P577publication date2009-12-30
P1433published inMedical & Biological Engineering & ComputingQ6806252
P1476titleComparison of feature selection and classification methods for a brain-computer interface driven by non-motor imagery
P478volume48

Reverse relations

cites work (P2860)
Q35529385A comparison of univariate, vector, bilinear autoregressive, and band power features for brain-computer interfaces.
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Q47954455EEG study on affective valence elicited by novel and familiar pictures using ERD/ERS and SVM-RFE.
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