Spatio-spectral filters for improving the classification of single trial EEG.
about
Brain computer interfaces, a review.Single trial classification of motor imagination using 6 dry EEG electrodesLow-Rank Linear Dynamical Systems for Motor Imagery EEG.Towards zero training for brain-computer interfacing.Filter Bank Common Spatial Pattern Algorithm on BCI Competition IV Datasets 2a and 2bDimensionality reduction and channel selection of motor imagery electroencephalographic data.The analytic bilinear discrimination of single-trial EEG signals in rapid image triage.Supervised filters for EEG signal in naturally occurring epilepsy forecasting.Model based generalization analysis of common spatial pattern in brain computer interfaces.A semi-supervised support vector machine approach for parameter setting in motor imagery-based brain computer interfaces.BCI Competition IV - Data Set I: Learning Discriminative Patterns for Self-Paced EEG-Based Motor Imagery DetectionA review of brain-computer interface games and an opinion survey from researchers, developers and users.Distinct dynamical patterns that distinguish willed and forced actions.The synergy between complex channel-specific FIR filter and spatial filter for single-trial EEG classificationA hierarchical Bayesian approach for learning sparse spatio-temporal decompositions of multichannel EEG.Predicting BCI subject performance using probabilistic spatio-temporal filters.Probabilistic Common Spatial Patterns for Multichannel EEG Analysis.Comparing Features for Classification of MEG Responses to Motor Imagery.Classifying EEG Signals during Stereoscopic Visualization to Estimate Visual ComfortInferring functional brain states using temporal evolution of regularized classifiers.Classifying EEG for brain-computer interface: learning optimal filters for dynamical system features.Adaptive Laplacian filtering for sensorimotor rhythm-based brain-computer interfacesA spatiotemporal filtering methodology for single-trial ERP component estimation.Local temporal correlation common spatial patterns for single trial EEG classification during motor imagery.Predicting the semantic category of internally generated words from neuromagnetic recordings.Relevant Feature Integration and Extraction for Single-Trial Motor Imagery Classification.Sparse Bayesian Learning for Obtaining Sparsity of EEG Frequency Bands Based Feature Vectors in Motor Imagery Classification.Uncorrelated multiway discriminant analysis for motor imagery EEG classification.EEG-based brain-computer interface for tetraplegics.Discriminative Common Spatial Pattern Sub-bands Weighting Based on Distinction Sensitive Learning Vector Quantization Method in Motor Imagery Based Brain-computer Interface.Common spatio-time-frequency patterns for motor imagery-based brain machine interfaces.Spatio-spectral filters for low-density surface electromyographic signal classification.Cortical activity predicts good variation in human motor output.Aggregation of sparse linear discriminant analyses for event-related potential classification in brain-computer interface.An improved discriminative filter bank selection approach for motor imagery EEG signal classification using mutual information.EEG classification for motor imagery and resting state in BCI applications using multi-class Adaboost extreme learning machine.Adaptive Spatial Filter Based on Similarity Indices to Preserve the Neural Information on EEG Signals during On-Line Processing.Adaptive classification on brain-computer interfaces using reinforcement signals.A spatial-frequency-temporal optimized feature sparse representation-based classification method for motor imagery EEG pattern recognition.An extended EM algorithm for joint feature extraction and classification in brain-computer interfaces.
P2860
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P2860
Spatio-spectral filters for improving the classification of single trial EEG.
description
2005 nî lūn-bûn
@nan
2005年の論文
@ja
2005年学术文章
@wuu
2005年学术文章
@zh-cn
2005年学术文章
@zh-hans
2005年学术文章
@zh-my
2005年学术文章
@zh-sg
2005年學術文章
@yue
2005年學術文章
@zh
2005年學術文章
@zh-hant
name
Spatio-spectral filters for improving the classification of single trial EEG.
@en
Spatio-spectral filters for improving the classification of single trial EEG.
@nl
type
label
Spatio-spectral filters for improving the classification of single trial EEG.
@en
Spatio-spectral filters for improving the classification of single trial EEG.
@nl
prefLabel
Spatio-spectral filters for improving the classification of single trial EEG.
@en
Spatio-spectral filters for improving the classification of single trial EEG.
@nl
P2093
P356
P1476
Spatio-spectral filters for improving the classification of single trial EEG.
@en
P2093
Benjamin Blankertz
Gabriel Curio
Steven Lemm
P304
P356
10.1109/TBME.2005.851521
P577
2005-09-01T00:00:00Z