EEG Dataset Reduction and Feature Extraction Using Discrete Cosine Transform

Brain-Computer interface (BCI) systems require intensive signal processing in order to form control signals for electronic devices. The majority of BCI systems work by reading and interpreting cortically evoked electro-potentials across the scalp via an electro-encephalogram (EEG). An important fact...

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Bibliographische Detailangaben

Hauptverfasser:	Birvinskas, D., Jusas, V., Martisius, I., Damasevicius, R.
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Artificial neural networks braincomputer interface Classification algorithms discrete cosine transform Discrete cosine transforms Electroencephalography Feature extraction Neurons Training
Online-Zugang:	Volltext bestellen
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