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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 •
- Jx •
- Link
Rok uplatnění
Jx - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)
Výsledek na webu
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 pat...
JA - Elektronika a optoelektronika, elektrotechnika
- 2007 •
- D
Rok uplatnění
D - Stať ve sborníku
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 Common Spatial Patterns cla...
BB - Aplikovaná statistika, operační výzkum
- 2011 •
- D •
- Link
Rok uplatnění
D - Stať ve sborníku
Výsledek na webu
Classification of the Emotional States Based on the EEG Signal Processing
The paper proposes a method for the classification of EEG signal based on machine learning methods. We analyzed the data from an EEG experiment consisting of the individual emotional states from the EEG signal usin...
JC - Počítačový hardware a software
- 2009 •
- D
Rok uplatnění
D - Stať ve sborníku
Permutation Entropy in Signal Analysis
Permutation entropy of EEG signal was used for the classification of Alzheimer disease. The processing of permutation patterns is accelerated via hash technique....
BB - Aplikovaná statistika, operační výzkum
- 2016 •
- O
Rok uplatnění
O - Ostatní výsledky
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 Patterns(MSCP) method exploits only inter-channel covar...
BB - Aplikovaná statistika, operační výzkum
- 2011 •
- Jx
Rok uplatnění
Jx - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)
Brain-Computer Interface Based on Motor Imagery: the Most Relevant Sources of Electrical Brain Activity
Examined are sources of brain activity, contributing to EEG patterns which). To identify individual source contribution into EEG recorded during the training the BCI system classification accuracy was at maximum, w...
IN - Informatika
- 2014 •
- D •
- Link
Rok uplatnění
D - Stať ve sborníku
Výsledek na webu
Distributed Computing and Computer Intelligence in Pattern Recognition
The paper is devoted to principal component analysis to determine signal information common in multi-channels and the following signal segmentation using signal properties inside the shifted moving windows. Both time-domain and frequency-domain featu...
JD - Využití počítačů, robotika a její aplikace
- 2010 •
- D
Rok uplatnění
D - Stať ve sborníku
Fuzzy c-Means Algorithm in Automatic Classification of EEG
(FCM) algorithm can be used for correct classification of epileptic patternThe electroencephalogram (EEG) provides markers of brain disturbances in the field of epilepsy. In short duration EEG data recordings, the...
JD - Využití počítačů, robotika a její aplikace
- 2016 •
- O •
- Link
Rok uplatnění
O - Ostatní výsledky
Výsledek na webu
Fuzzy c-means algorithm in automatic classification of EEG
(FCM) algorithm can be used for correct classification of epileptic patternThe electroencephalogram (EEG) provides markers of brain disturbances in the field of epilepsy. In short duration EEG data recordings, the...
IN - Informatika
- 2016 •
- D •
- Link
Rok uplatnění
D - Stať ve sborníku
Výsledek na webu
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