A Novel Deep Learning Approach With Data Augmentation to Classify Motor Imagery Signals

A Novel Deep Learning Approach With Data Augmentation to Classify Motor Imagery Signals

Brain-computer interface provides a new communication bridge between the human mind and devices, depending largely on the accurate classification and identification of non-invasive EEG signals. Recently, the deep learning approaches have been widely used in many fields to extract features and classi...

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Bibliographic Details
Main Authors: Zhiwen Zhang, Feng Duan, Jordi Sole-Casals, Josep Dinares-Ferran, Andrzej Cichocki, Zhenglu Yang, Zhe Sun
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Motor imagery classification
deep learning
convolutional neural network
wavelet neural network
empirical mode decomposition
artificial EEG frames
Online Access:https://ieeexplore.ieee.org/document/8630915/

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