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» High Accuracy Classification of EEG Signal
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KES
2008
Springer
13 years 7 months ago
Epileptic Seizure Classification Using Neural Networks with 14 Features
Epilepsy is one of the most frequent neurological disorders. The main method used in epilepsy diagnosis is electroencephalogram (EEG) signal analysis. However this method requires ...
Rui P. Costa, Pedro Oliveira, Guilherme Rodrigues,...
ENGL
2006
99views more  ENGL 2006»
13 years 7 months ago
A Patient Specific Neural Networks (MLP) for Optimization of Fuzzy Outputs in Classification of Epilepsy Risk Levels from EEG Si
In recent years Neural Networks have been widely used as pattern and statistical classifiers in bio medical engineering. Most research to date using hybrid systems (Fuzzy-Neuro) fo...
R. Sukanesh, R. Harikumar
HCI
2009
13 years 5 months ago
Predicting Intended Movement Direction Using EEG from Human Posterior Parietal Cortex
The posterior parietal cortex (PPC) plays an important role in motor planning and execution. Here, we investigated whether noninvasive electroencephalographic (EEG) signals recorde...
Yijun Wang, Scott Makeig
CHI
2008
ACM
14 years 8 months ago
Rapid image analysis using neural signals
The problem of extracting information from large collections of imagery is a challenge with few good solutions. Computers typically cannot interpret imagery as effectively as huma...
Santosh Mathan, Deniz Erdogmus, Yonghong Huang, Mi...
DAGM
2006
Springer
13 years 11 months ago
Optimizing Spectral Filters for Single Trial EEG Classification
We propose a novel spectral filter optimization algorithm for the single trial ElectroEncephaloGraphy (EEG) classification problem. The algorithm is designed to improve the classif...
Ryota Tomioka, Guido Dornhege, Guido Nolte, Kazuyu...