Super-Resolution Level Separation: A Method for Enhancing Electroencephalogram Classification Accuracy Through Super-Resolution Level Separation

Super-Resolution Level Separation: A Method for Enhancing Electroencephalogram Classification Accuracy Through Super-Resolution Level Separation

Accurate identification of electroencephalogram (EEG) signals forms the basis for the development and application of brain–computer interface (BCI) devices. Signal preprocessing is an essential part of most EEG classification and recognition systems.In this study, we proposed a method cal...

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Bibliographic Details
Main Authors: Hang Sun, Changsheng Li, He Zhang
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Brain–computer interface
deep learning
electroencephalogram
EEG–split-informer
super-resolution
Online Access:https://ieeexplore.ieee.org/document/10441818/

Internet

https://ieeexplore.ieee.org/document/10441818/

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