Designing optimal spatial filters for single-trial EEG classification in a movement task.
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The Smartphone Brain Scanner: A Portable Real-Time Neuroimaging SystemMultimodal Neural Network for Rapid Serial Visual Presentation Brain Computer Interface.Convolutional Neural Network for Multi-Category Rapid Serial Visual Presentation BCI.Effect of biased feedback on motor imagery learning in BCI-teleoperation systemBioSig: the free and open source software library for biomedical signal processing.Filter Bank Common Spatial Pattern Algorithm on BCI Competition IV Datasets 2a and 2bMajor Depression Detection from EEG Signals Using Kernel Eigen-Filter-Bank Common Spatial PatternsDecomposing spatiotemporal brain patterns into topographic latent sourcesAn electrocorticographic BCI using code-based VEP for control in video applications: a single-subject studyExtraction of single-trial cortical beta oscillatory activities in EEG signals using empirical mode decomposition.Exploration of computational methods for classification of movement intention during human voluntary movement from single trial EEGBCI Competition IV - Data Set I: Learning Discriminative Patterns for Self-Paced EEG-Based Motor Imagery DetectionA large clinical study on the ability of stroke patients to use an EEG-based motor imagery brain-computer interface.Generalized optimal spatial filtering using a kernel approach with application to EEG classificationDistinct dynamical patterns that distinguish willed and forced actions.An approach to improve the performance of subject-independent BCIs-based on motor imagery allocating subjects by genderZ-score linear discriminant analysis for EEG based brain-computer interfaces.Whatever works: a systematic user-centered training protocol to optimize brain-computer interfacing individually.An evidence-based combining classifier for brain signal analysisDecoding intention at sensorimotor timescales.Bayesian spatial filters for source signal extraction: a study in the peripheral nerveIndividually adapted imagery improves brain-computer interface performance in end-users with disability.Hybrid EEG-fNIRS Asynchronous Brain-Computer Interface for Multiple Motor Tasks.A subject-independent pattern-based Brain-Computer InterfaceThe influence of central neuropathic pain in paraplegic patients on performance of a motor imagery based Brain Computer InterfaceAn EEG-based study of discrete isometric and isotonic human lower limb muscle contractions.Temporal and spatial features of single-trial EEG for brain-computer interface.Single-Trial Classification of Bistable Perception by Integrating Empirical Mode Decomposition, Clustering, and Support Vector Machine.Distributed cortical adaptation during learning of a brain-computer interface task.L1 norm based common spatial patterns decomposition for scalp EEG BCIEEG-Based BCI System Using Adaptive Features Extraction and Classification Procedures.Motor Imagery Classification Using Mu and Beta Rhythms of EEG with Strong Uncorrelating Transform Based Complex Common Spatial PatternsLocal temporal correlation common spatial patterns for single trial EEG classification during motor imagery.Evolutionary Algorithm Based Feature Optimization for Multi-Channel EEG Classification.Toward an Open-Ended BCI: A User-Centered Coadaptive Design.Multisubject learning for common spatial patterns in motor-imagery BCI.Electroencephalographic Motor Imagery Brain Connectivity Analysis for BCI: A Review.Robust Averaging of Covariances for EEG Recordings Classification in Motor Imagery Brain-Computer Interfaces.Cortical and subcortical mechanisms of brain-machine interfaces.Predicting Inter-session Performance of SMR-Based Brain-Computer Interface Using the Spectral Entropy of Resting-State EEG.
P2860
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P2860
Designing optimal spatial filters for single-trial EEG classification in a movement task.
description
1999 nî lūn-bûn
@nan
1999年の論文
@ja
1999年学术文章
@wuu
1999年学术文章
@zh-cn
1999年学术文章
@zh-hans
1999年学术文章
@zh-my
1999年学术文章
@zh-sg
1999年學術文章
@yue
1999年學術文章
@zh
1999年學術文章
@zh-hant
name
Designing optimal spatial filters for single-trial EEG classification in a movement task.
@en
Designing optimal spatial filters for single-trial EEG classification in a movement task.
@nl
type
label
Designing optimal spatial filters for single-trial EEG classification in a movement task.
@en
Designing optimal spatial filters for single-trial EEG classification in a movement task.
@nl
prefLabel
Designing optimal spatial filters for single-trial EEG classification in a movement task.
@en
Designing optimal spatial filters for single-trial EEG classification in a movement task.
@nl
P2093
P1476
Designing optimal spatial filters for single-trial EEG classification in a movement task.
@en
P2093
Flyvbjerg H
Müller-Gerking J
Pfurtscheller G
P304
P356
10.1016/S1388-2457(98)00038-8
P577
1999-05-01T00:00:00Z