Conditional Adversarial Domain Adaptation Neural Network for Motor Imagery EEG Decoding

Conditional Adversarial Domain Adaptation Neural Network for Motor Imagery EEG Decoding

Decoding motor imagery (MI) electroencephalogram (EEG) signals for brain-computer interfaces (BCIs) is a challenging task because of the severe non-stationarity of perceptual decision processes. Recently, deep learning techniques have had great success in EEG decoding because of their prominent abil...

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Bibliographic Details
Main Authors: Xingliang Tang, Xianrui Zhang
Format: Article
Language:English
Published: MDPI AG 2020-01-01
Series:Entropy
Subjects:
electroencephalogram (eeg)
motor imagery (mi)
domain adaptation
signal classification
convolutional neural network
Online Access:https://www.mdpi.com/1099-4300/22/1/96

Internet

https://www.mdpi.com/1099-4300/22/1/96

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