AI RESEARCH
BandRouteNet: An Adaptive Band Routing Neural Network for EEG Artifact Removal
arXiv CS.AI
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ArXi:2604.24428v1 Announce Type: cross Electroencephalography (EEG) is highly susceptible to artifact contamination, such as electrooculographic (EOG) and electromyographic (EMG) interference, which severely degrades signal quality and hinders reliable interpretation in applications including neurological diagnosis, brain-computer interfaces (BCIs), etc. Effective EEG denoising remains challenging because different artifact sources exhibit diverse and temporally varying distributions, together with distinct spectral characteristics across frequency bands.