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. Deep Convolutional Neural Networks and Power Spectral Density Features for Motor Imagery Classification of EEG Signals. In Dylan D. Schmorrow, Cali M. Fidopiastis, editors, Augmented Cognition: Intelligent Technologies - 12th International Conference, AC 2018, Held as Part of HCI International 2018, Las Vegas, NV, USA, July 15-20, 2018, Proceedings, Part I. Volume 10915 of Lecture Notes in Computer Science, pages 158-169, Springer, 2018. [doi]

Abstract

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