A Novel Simplified Convolutional Neural Network Classification Algorithm of Motor Imagery EEG Signals Based on Deep Learning

A Novel Simplified Convolutional Neural Network Classification Algorithm of Motor Imagery EEG Signals Based on Deep Learning

Left and right hand motor imagery electroencephalogram (MI-EEG) signals are widely used in brain-computer interface (BCI) systems to identify a participant intent in controlling external devices. However, due to a series of reasons, including low signal-to-noise ratios, there are great challenges fo...

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Bibliographic Details
Main Authors: Feng Li, Fan He, Fei Wang, Dengyong Zhang, Yi Xia, Xiaoyu Li
Format: Article
Language:English
Published: MDPI AG 2020-02-01
Series:Applied Sciences
Subjects:
motor imagery (mi)
electroencephalogram (eeg)
simplified convolutional neural network (scnn)
continuous wavelet transform (cwt)
Online Access:https://www.mdpi.com/2076-3417/10/5/1605

Internet

https://www.mdpi.com/2076-3417/10/5/1605

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