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38 223 (0,241s) •

Result

Brain-Computer Interface: Common Tensor Discriminant Analysis Classifier Evaluation

for Brain-Computer Interface EEG pattern classification is compared with three other classifiers. The classifiers are designed with the aim to distinguish EEG patterns Patterns class...

BB - Aplikovaná statistika, operační výzkum

  • 2011
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Sources of brain activity relevant and not relevant for classifying of EEG patterns, corresponding to motor imagination

The paper examines the sources of brain activity, contributing to EEG patterns, corresponding to motor imagination. The accuracy of their classifying specifies. Components dependent on the type of imaginary movement are rel...

FH - Neurologie, neurochirurgie, neurovědy

  • 2011
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Nature-Inspired Algorithms for Selecting EEG Sources for Motor Imagery Based BCI

of a classifier in a BCI system. An important problem of the EEG-based BCI system consistsin designing the EEG pattern classifier. The selection of the EEG channels used for building that learnin...

IN - Informatika

  • 2015
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Pattern recognition of epileptic EEG graphoelements with adaptive segmentation, supervised and unsupervised learning algorithms

The paper deals with pattern recognition of epileptic EEG graphoelements using adaptive segmentation, supervised and unsupervised learning algorithms for identification of EEG graphoelements of the patients with diagnosis e...

IN - Informatika

  • 2012
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Result

Comparison of four classification methods for brain-computer interface

Four classifiers effectiveness, for Brain Computer Interface (BCI) based on multichannel EEG with aim to distinguish EEG patterns corresponding to performance of several mental tasks, is compared. Basic Bayesian

BB - Aplikovaná statistika, operační výzkum

  • 2011
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Result

Application of Common Spatial Patterns on Classification of Right Hand Finger Movements from EEG Signal

The contribution investigates the possibility of discriminating between movement-related ElectroEncephaloGram (EEG) realisations associated with movements of the same limb. Common Spatial Patterns (CSP) are used to extract features....

IN - Informatika

  • 2014
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Feature extraction from the EEG of comatose patients by global adaptive segmentation.

approaches to pattern recognition is the application of learning classifier. During the learning phase of the classifier tuning, the teacher provides the set of etalonsThe objective of this study was to prepare a set of ro...

FH - Neurologie, neurochirurgie, neurovědy

  • 1999
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Result

Classification of the Emotional States Based on the EEG Signal Processing

of the individual emotional states from the EEG signal using Bayes classifier. The mean accuracyThe paper proposes a method for the classification of EEG signal based on machine learning methods. We analyzed the data from ...

JC - Počítačový hardware a software

  • 2009
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Result

Movement EEG Preprocessing with the Help of ICA and Independent Component Classification

This work deals with EEG preprocessing method for movement EEG classification score increasing. EEG preprocessing is done with the help of independent component between independent component spectrogram and patterns

JA - Elektronika a optoelektronika, elektrotechnika

  • 2007
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Result

Source localization for EEG patterns relevant to motor imagery BCI control

This work concerns spatial localization of sources of EEG patterns the most that performance of Bayesian BCI classifier can be drastically improved by extraction of the most relevant independent components of the EEG

BB - Aplikovaná statistika, operační výzkum

  • 2013
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