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

Driving Fatigue Detecting Based on EEG Signals of Forehead Area

(2017) Zhendong Mu et al.   INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE

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

(2017) Thien Nguyen et al.   Scientific Reports

Driver Fatigue Classification With Independent Component by Entropy Rate Bound Minimization Analysis in an EEG-Based System

(2017) Rifai Chai et al.   IEEE Journal of Biomedical and Health Informatics

Improving EEG-Based Driver Fatigue Classification Using Sparse-Deep Belief Networks

(2017) Rifai Chai et al.   Frontiers in Neuroscience

Automated classification of neonatal amplitude-integrated EEG based on gradient boosting method

(2016) Tao Yang et al.   Biomedical Signal Processing and Control

Automatic identification of epileptic seizures from EEG signals using linear programming boosting

(2016) Ahnaf Rashik Hassan et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

EEG-Based Person Authentication Using a Fuzzy Entropy-Related Approach with Two Electrodes

(2016) Zhendong Mu et al.   Entropy

Automated drowsiness detection through wavelet packet analysis of a single EEG channel

(2016) Thiago L.T. da Silveira et al.   EXPERT SYSTEMS WITH APPLICATIONS

Dynamic driver fatigue detection using hidden Markov model in real driving condition

(2016) Rongrong Fu et al.   EXPERT SYSTEMS WITH APPLICATIONS

Transition dynamics of EEG-based network microstates during mental arithmetic and resting wakefulness reflects task-related modulations and developmental changes

(2015) S. I. Dimitriadis et al.   Cognitive Neurodynamics

The detection of epileptic seizure signals based on fuzzy entropy

(2015) Jie Xiang et al.   JOURNAL OF NEUROSCIENCE METHODS

Multi-Feature Authentication System Based on Event Evoked Electroencephalogram

(2015) Hu Jianfeng et al.   Journal of Medical Imaging and Health Informatics

Driver fatigue detection based on eye state

(2015) Lizong Lin et al.   TECHNOLOGY AND HEALTH CARE

Monitoring depth of anesthesia using combination of EEG measure and hemodynamic variables

(2014) R. Shalbaf et al.   Cognitive Neurodynamics

Detecting driver drowsiness using feature-level fusion and user-specific classification

(2013) Jaeik Jo et al.   EXPERT SYSTEMS WITH APPLICATIONS

Automatic detection of drowsiness in EEG records based on multimodal analysis

(2013) Agustina Garcés Correa et al.   MEDICAL ENGINEERING & PHYSICS

The Appropriate Use of Approximate Entropy and Sample Entropy with Short Data Sets

(2012) Jennifer M. Yentes et al.   ANNALS OF BIOMEDICAL ENGINEERING

Automatic epileptic seizure detection in EEGs based on optimized sample entropy and extreme learning machine

(2012) Yuedong Song et al.   JOURNAL OF NEUROSCIENCE METHODS

Regional brain wave activity changes associated with fatigue

(2012) Ashley Craig et al.   PSYCHOPHYSIOLOGY

Detecting Driver Drowsiness Based on Sensors: A Review

(2012) Arun Sahayadhas et al.   SENSORS

Investigation of mental fatigue through EEG signal processing based on nonlinear analysis: Symbolic dynamics

(2011) Mahdi Azarnoosh et al.   CHAOS SOLITONS & FRACTALS

Evaluation of driver fatigue on two channels of EEG data

(2011) Wei Li et al.   NEUROSCIENCE LETTERS

EEG-based estimation of mental fatigue by using KPCA–HMM and complexity parameters

(2010) Jianping Liu et al.   Biomedical Signal Processing and Control

A review of EEG, ERP, and neuroimaging studies of creativity and insight.

(2010) Arne Dietrich et al.   PSYCHOLOGICAL BULLETIN