2 citations · 2 across the 1 of their papers we have counts for
2 papers
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…
eess.SP2024★ 2 cited
How Much Data is Enough? Optimization of Data Collection for Artifact Detection in EEG Recordings
Lu Wang-Nöth, Philipp Heiler, Hai Huang +5
Objective. Electroencephalography (EEG) is a widely used neuroimaging technique known for its cost-effectiveness and user-friendliness. However, various artifacts, particularly bio…