A Fusion Algorithm for EEG Signal Processing Based on Motor Imagery Brain-Computer Interface

A Fusion Algorithm for EEG Signal Processing Based on Motor Imagery Brain-Computer Interface

Electroencephalogram (EEG) signal processing is a very important module in the brain-computer interface system. As an important physiological feature of the human body, EEG signals are closely related to the functional state of the cerebral nervous system. However, the EEG signals collected on the s...

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Bibliographic Details
Main Authors: Geng, X. (Author), Li, D. (Author), Wang, L. (Author), Xue, S. (Author), Yu, P. (Author), Yue, M. (Author), Zhang, X. (Author)
Format: Article
Language:English
Published: Hindawi Limited 2022
Subjects:
Biomedical signal processing
Brain computer interface
Convolutional neural network
Convolutional neural networks
Electroencephalogram signals
Electroencephalography
Empirical mode decomposition method
FastICA algorithms
Fusion algorithms
Independent components
Interface system
Intrinsic Mode functions
Inverse problems
Iterative methods
Motor imagery
Signal-processing
Support vector machines
Wavelet transforms
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