Implementing eigenvector methods/probabilistic neural networks for analysis of EEG signals

DOI10.1016/J.NEUNET.2008.08.005zbMath1254.92060OpenAlexW2078626463WikidataQ46702269 ScholiaQ46702269MaRDI QIDQ1932111

Elif Derya Übeyli

Publication date: 17 January 2013

Published in: Neural Networks (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.neunet.2008.08.005

zbMATH Keywords

probabilistic neural networkseigenvector methodselectroencephalogram (EEG) signals

Mathematics Subject Classification ID

Biomedical imaging and signal processing (92C55) Pattern recognition, speech recognition (68T10)

Related Items (2)

1D-local binary pattern based feature extraction for classification of epileptic EEG signals ⋮ Implementing eigenvector methods/probabilistic neural networks for analysis of EEG signals

Cites Work

• Classification of EEG signals using the wavelet transform.
• Implementing eigenvector methods/probabilistic neural networks for analysis of EEG signals
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