3 citations · 5 across the 2 of their papers we have counts for
2 papers
eess.SP2024★ 3 cited
ART: Artifact Removal Transformer for Reconstructing Noise-Free Multichannel Electroencephalographic Signals
Chun-Hsiang Chuang, Kong-Yi Chang, Chih-Sheng Huang +1
Artifact removal in electroencephalography (EEG) is a longstanding challenge that significantly impacts neuroscientific analysis and brain-computer interface (BCI) performance. Tac…
eess.SP2021★ 2 cited
IC-U-Net: A U-Net-based Denoising Autoencoder Using Mixtures of Independent Components for Automatic EEG Artifact Removal
Chun-Hsiang Chuang, Kong-Yi Chang, Chih-Sheng Huang +1
Electroencephalography (EEG) signals are often contaminated with artifacts. It is imperative to develop a practical and reliable artifact removal method to prevent misinterpretatio…