Enhancing the performance of a deep convolutional neural network model for motor imagery classification using EEG channel-wise attention module
Abstract
-value = 0.02 for the subject-specific MI classification. Further, the scalp map of the EEG channel ranking obtained by the proposed method and the conventional channel-wise attention module mentioned in the literature is also compared. The results of the comparison show that the proposed method yields a higher channel ranking in the brain's motor cortex region, which is the primary contributing area for MI activity.
Fields of Study & Subjects
EEG and Brain-Computer Interfaces
Functional Brain Connectivity Studies
ECG Monitoring and Analysis
Publication details
- Journal / source
- Medical Engineering & Physics
- Volume
- 147
- Issue
- 1
- Pages
- 015004–015004
- Publication date
- 1 January 2026
- Language
- EN