2 papers
cs.AI2026
ZIPBrain: Can EEG Foundation Models Be Faster, Locally Deployable, but Accurate?
Lingwei Li, Yirong Kan, Peng Chen +3
This work investigates whether Electroencephalograph (EEG) foundation models (EFMs) can be made faster and locally deployable without sacrificing accuracy. EEG foundation models ar…
eess.SP2022
Adaptive Spike-Like Representation of EEG Signals for Sleep Stages Scoring
Lingwei Zhu, Koki Odani, Ziwei Yang +4
Recently there has seen promising results on automatic stage scoring by extracting spatio-temporal features from electroencephalogram (EEG). Such methods entail laborious manual fe…