11 citations · 17 across the 4 of their papers we have counts for
4 papers
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…
InfoFlowNet: A Multi-head Attention-based Self-supervised Learning Model with Surrogate Approach for Uncovering Brain Effective Connectivity
Chun-Hsiang Chuang, Shao-Xun Fang, Chih-Sheng Huang +1
Deciphering brain network topology can enhance the depth of neuroscientific knowledge and facilitate the development of neural engineering methods. Effective connectivity, a measur…
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…
Dynamically Weighted Ensemble-based Prediction System for Adaptively Modeling Driver Reaction Time
Chun-Hsiang Chuang, Zehong Cao, Po-Tsang Chen +3
Predicting a driver's cognitive state, or more specifically, modeling a driver's reaction time (RT) in response to the appearance of a potential hazard warrants urgent research. In…