Search Results for author: Martin Wimpff

Found 2 papers, 2 papers with code

Calibration-free online test-time adaptation for electroencephalography motor imagery decoding

1 code implementation30 Nov 2023 Martin Wimpff, Mario Döbler, Bin Yang

Providing a promising pathway to link the human brain with external devices, Brain-Computer Interfaces (BCIs) have seen notable advancements in decoding capabilities, primarily driven by increasingly sophisticated techniques, especially deep learning.

EEG Motor Imagery +2

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

2 code implementations17 Oct 2023 Martin Wimpff, Leonardo Gizzi, Jan Zerfowski, Bin Yang

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.

EEG Motor Imagery

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