Wavelet Transform Time-Frequency Image and Convolutional Network-Based Motor Imagery EEG Classification

Wavelet Transform Time-Frequency Image and Convolutional Network-Based Motor Imagery EEG Classification

Feature extraction and classification play an important role in brain–computer interface (BCI) systems. In traditional approaches, methods in pattern recognition field are adopted to solve these problems. Nowadays, the deep learning theory has developed so fast that researchers have emplo...

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Bibliographic Details
Main Authors: Baoguo Xu, Linlin Zhang, Aiguo Song, Changcheng Wu, Wenlong Li, Dalin Zhang, Guozheng Xu, Huijun Li, Hong Zeng
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Brain computer interface (BCI)
motor imagery (MI)
wavelet transform time-frequency image
convolutional neural network (CNN)
Online Access:https://ieeexplore.ieee.org/document/8585027/

Internet

https://ieeexplore.ieee.org/document/8585027/

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