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Deep Convolutional Neural Networks and Power Spectral Density Features for Motor Imagery Classification of EEG Signals.
A. F. Pérez-Zapata
Andrés Felipe Cardona-Escobar
Jorge Alberto Jaramillo-Garzón
Gloria M. Díaz
Published in:
HCI (15) (2018)
Keyphrases
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blind source separation
motor imagery
eeg signals
eeg data
convolutional neural networks
power spectral density
classification accuracy
feature vectors
extracted features
frequency band
brain computer interface
neural network
multiresolution
signal processing
spectral analysis
brain activity