most citedHow Much Data is Enough? Optimization of Data Collection for Artifact Detection in EEG Recordings

2 citations · 2 across the 1 of their papers we have counts for

collaborators
Showing cs.LGShow all

1 paper · 1 filter

cs.LG2026

A Proof-of-Concept Study of Weakly Supervised Labeling of Fine-Grained EEG Components for Artifact Attenuation

Lu Wang-Nöth, Hai Huang, Philipp Heiler +3

Electroencephalography (EEG) is highly susceptible to electromyographic (EMG) artifacts, whose temporal heterogeneity and spatial-spectral overlap with neural activity can leave mi…