WavTSK: An Interpretable Fuzzy Network With Learnable Wavelet-Based Feature Extraction for Motor Imagery EEG Decoding
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DOI: 10.1109/tfuzz.2025.3623122
Abstract: Decoding motor imagery (MI) from electroencephalogram (EEG) signals is a cornerstone of brain–computer interface (BCI) systems. However, existing methods often face a critical tradeoff between decoding accuracy and model interpretability, limiting their applicability in real-world… read more here.
Keywords: learnable wavelet; eeg decoding; feature; fuzzy ... See more keywords