Improving the separability of motor imagery EEG signals using a cross correlation-based least square support vector machine for brain-computer interface.

Improving the separability of motor imagery EEG signals using a cross correlation-based least square support vector machine for brain-computer interface.

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http://www.wikidata.org/entity/Q43552251
Progress in EEG-Based Brain Robot Interaction Systems.Classification of Two Class Motor Imagery Tasks Using Hybrid GA-PSO Based K-Means ClusteringExploring sampling in the detection of multicategory EEG signals.Epileptic seizure detection from EEG signals using logistic model trees.Analysis of Brain Functional Changes in High-Frequency Repetitive Transcranial Magnetic Stimulation in Treatment-Resistant Depression.Evaluation of feature extraction methods for EEG-based brain-computer interfaces in terms of robustness to slight changes in electrode locations.An efficient scheme for mental task classification utilizing reflection coefficients obtained from autocorrelation function of EEG signal.Towards Efficient Decoding of Multiple Classes of Motor Imagery Limb Movements Based on EEG Spectral and Time Domain Descriptors.Mental Task Classification Scheme Utilizing Correlation Coefficient Extracted from Interchannel Intrinsic Mode Function.Improving EEG-Based Motor Imagery Classification for Real-Time Applications Using the QSA Method.Early prediction of medication refractoriness in children with idiopathic epilepsy based on scalp EEG analysis.Electroencephalography Signal Grouping and Feature Classification Using Harmony Search for BCIA Characterization of Brain-Computer Interface Performance Trade-Offs Using Support Vector Machines and Deep Neural Networks to Decode Movement Intent
P2860

Improving the separability of motor imagery EEG signals using a cross correlation-based least square support vector machine for brain-computer interface.

Item
http://www.wikidata.org/entity/Q43552251
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2012 nî lūn-bûn
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2012年の論文
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2012年学术文章
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2012年学术文章
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2012年学术文章
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2012年学术文章
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2012年学术文章
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2012年學術文章
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2012年學術文章
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2012年學術文章
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Improving the separability of ...... for brain-computer interface.
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Improving the separability of ...... for brain-computer interface.
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Improving the separability of ...... for brain-computer interface.
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Improving the separability of ...... for brain-computer interface.
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Improving the separability of ...... for brain-computer interface.
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Improving the separability of ...... for brain-computer interface.
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Improving the separability of ...... e for brain-computer interface
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10.1109/TNSRE.2012.2184838
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