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#epilepsy

1 curated events
papersSEP 10 04:00 UTC

EEGBind: EEG-centric multimodal model for source-level epilepsy discharge detection

Researchers have introduced EEGBind, a machine learning approach centered on EEG signals that aims to localize interictal epileptiform discharges at their source rather than simply flagging their presence. Knowing where such activity likely originates matters for presurgical evaluation and treatment planning in epilepsy. The work appears as a new preprint on arXiv in the machine learning category.

healthcare/eeg/multimodal/epilepsy