Research on Channel Selection and Multi-Feature Fusion of EEG Signals for Mental Fatigue Detection

A new method to build multiplex networks using Canonical Correlation Analysis for the characterization of the Alzheimer’s disease continuum

(2021) Saúl J. Ruiz-Gómez et al.   Journal of Neural Engineering

Brain Complex Network Characteristic Analysis of Fatigue during Simulated Driving Based on Electroencephalogram Signals

(2019) Chunxiao Han et al.   Entropy

Automated detection of driver fatigue based on EEG signals using gradient boosting decision tree model

(2018) Jianfeng Hu et al.   Cognitive Neurodynamics

Electroencephalography based fatigue detection using a novel feature fusion and extreme learning machine

(2018) Jichi Chen et al.   Cognitive Systems Research

Electroencephalography as a predictor of self-report fatigue/sleepiness during monotonous driving in train drivers

(2018) Ty Lees et al.   PHYSIOLOGICAL MEASUREMENT

Real-time drowsiness detection using wearable, lightweight brain sensing headbands

(2017) Fnu Rohit et al.   IET Intelligent Transport Systems

Utilization of a combined EEG/NIRS system to predict driver drowsiness

(2017) Thien Nguyen et al.   Scientific Reports

The Reorganization of Human Brain Networks Modulated by Driving Mental Fatigue

(2017) Chunlin Zhao et al.   IEEE Journal of Biomedical and Health Informatics

Scalable extensions of the ReliefF algorithm for weighting and selecting features on the multi-label learning context

(2015) Oscar Reyes et al.   NEUROCOMPUTING

A Survey of Sparse Representation: Algorithms and Applications

(2015) Zheng Zhang et al.   IEEE Access

Automated Detection of Driver Fatigue Based on Entropy and Complexity Measures

(2013) Chi Zhang et al.   IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS

Regional brain wave activity changes associated with fatigue

(2012) Ashley Craig et al.   PSYCHOPHYSIOLOGY

Working memory load and the vigilance decrement

(2011) William S. Helton et al.   EXPERIMENTAL BRAIN RESEARCH