EEG motor imagery decoding: A framework for comparative analysis with channel attention mechanisms

arXiv:2310.11198v2 Announce Type: replace-cross
Abstract: The objective of this study is to investigate the application of various channel attention mechanisms within the domain of brain-computer interface (BCI) for motor imagery decoding. Channel attention mechanisms can be seen as a powerful evolution of spatial filters traditionally used for motor imagery decoding. This study systematically compares such mechanisms by integrating them into a lightweight architecture framework to evaluate their impact. We carefully construct a straightforward and lightweight baseline architecture designed to seamlessly …

abstract analysis application arxiv attention attention mechanisms bci brain brain-computer interface comparative analysis computer cs.ai cs.hc cs.lg decoding domain eeg evolution filters framework spatial study type