The effects of layer-wise relevance propagation-based feature selection for EEG classification: a comparative study on multiple datasets

The effects of layer-wise relevance propagation-based feature selection for EEG classification: a comparative study on multiple datasets

IntroductionThe brain-computer interface (BCI) allows individuals to control external devices using their neural signals. One popular BCI paradigm is motor imagery (MI), which involves imagining movements to induce neural signals that can be decoded to control devices according to the user's in...

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Bibliographic Details
Main Authors: Hyeonyeong Nam, Jun-Mo Kim, WooHyeok Choi, Soyeon Bak, Tae-Eui Kam
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-06-01
Series:Frontiers in Human Neuroscience
Subjects:
brain-computer interface
feature selection
layer-wise relevance propagation
motor imagery classification
electroencephalography
analysis
Online Access:https://www.frontiersin.org/articles/10.3389/fnhum.2023.1205881/full

Internet

https://www.frontiersin.org/articles/10.3389/fnhum.2023.1205881/full

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