270 citations · 722 across the 20 of their papers we have counts for
8 papers · 1 filter
Effects of Repetitive SSVEPs on EEG Complexity using Multiscale Inherent Fuzzy Entropy
Zehong Cao, Weiping Ding, Yu-Kai Wang +3
Multiscale inherent fuzzy entropy is an objective measurement of electroencephalography (EEG) complexity, reflecting the habituation of brain systems. Entropy dynamics are generall…
Extraction of SSVEPs-based Inherent Fuzzy Entropy Using a Wearable Headband EEG in Migraine Patients
Zehong Cao, Chin-Teng Lin, Kuan-Lin Lai +4
Inherent fuzzy entropy is an objective measurement of electroencephalography (EEG) complexity, reflecting the robustness of brain systems. In this study, we present a novel applica…
Reconfiguration of Brain Network between Resting-state and Oddball Paradigm
Fali Li, Chanlin Yi, Yuanyuan Liao +8
The oddball paradigm is widely applied to the investigation of multiple cognitive functions. Prior studies have explored the cortical oscillation and power spectral differing from…
Multi-channel EEG recordings during a sustained-attention driving task
Zehong Cao, Chun-Hsiang Chuang, Jung-Kai King +1
We described driver behaviour and brain dynamics acquired from a 90-minute sustained-attention task in an immersive driving simulator. The data include 62 copies of 32 channel elec…
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…
Semi-supervised Feature Learning For Improving Writer Identification
Shiming Chen, Yisong Wang, Chin-Teng Lin +2
Data augmentation is usually used by supervised learning approaches for offline writer identification, but such approaches require extra training data and potentially lead to overf…
Tensor Decomposition for EEG Signal Retrieval
Zehong Cao, Mukesh Prasad, M. Tanveer +1
Prior studies have proposed methods to recover multi-channel electroencephalography (EEG) signal ensembles from their partially sampled entries. These methods depend on spatial sce…
Identifying Ketamine Responses in Treatment-Resistant Depression Using a Wearable Forehead EEG
Zehong Cao, Chin-Teng Lin, Weiping Ding +3
This study explores the responses to ketamine in patients with treatment-resistant depression (TRD) using a wearable forehead electroencephalography (EEG) device. We recruited fift…