What question did this study set out to answer?

To present supplementary information supporting the development of DBConformer, a new method for EEG decoding.

June 11, 2026Open Access

Supplementary Materials for "DBConformer: Dual-Branch Convolutional Transformer for EEG Decoding"

To present supplementary information supporting the development of DBConformer, a new method for EEG decoding.
Introduced dual-branch convolutional transformer architecture for processing EEG signals.
Utilized machine learning techniques for improved signal classification and decoding accuracy.
Demonstrated the efficacy of the DBConformer model in EEG signal decoding.
Provided supplementary data reinforcing experimental outcomes and algorithm performance.

Supplementary Materials for the IEEE JBHI paper “DBConformer: Dual-Branch Convolutional Transformer for EEG Decoding”.

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Wang et al. (Sat,) studied this question.

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