Every reference with a DOI in the deposited reference list resolved to a known
work in Crossref or DataCite at the dated check, and none carried a retraction,
withdrawal, or removal notice.
The 61 checked references that resolve
resolves10.3390/electronics9050775Driving Drowsiness Detection with EEG Using a Modified Hierarchical Extreme Learning Machine Algorithm with Particle Swarm Optimization: A Pilot Study
resolves10.3390/healthcare8020121Exploring the Predictors of Rapid Eye Movement Sleep Behavior Disorder for Parkinson’s Disease Patients Using Classifier Ensemble
resolves10.1016/j.aap.2017.04.023Stress-related psychosocial factors at work, fatigue, and risky driving behavior in bus rapid transport (BRT) drivers
resolves10.1016/j.eswa.2010.07.115Multivariate autoregressive models and kernel learning algorithms for classifying driving mental fatigue based on electroencephalographic
resolves10.3390/su12155877Potentialities of Vehicle Trajectory Big Data for Monitoring Potentially Fatigued Drivers and Explaining Vehicle Crashes on Motorway Sections
resolves10.1016/j.aap.2011.11.019Electroencephalogram and electrocardiograph assessment of mental fatigue in a driving simulator
resolves10.3389/fnhum.2016.00219Exploring Neuro-Physiological Correlates of Drivers' Mental Fatigue Caused by Sleep Deprivation Using Simultaneous EEG, ECG, and fNIRS Data
resolves10.1186/s12868-020-00569-1The impact of mental fatigue on brain activity: a comparative study both in resting state and task state using EEG
resolves10.1016/j.apergo.2020.103118Neuromuscular fatigue profiles depends on seat feature during long duration driving on a static simulator
resolves10.1155/2021/6631616Recognition of the Impulse of Love at First Sight Based on Electrocardiograph Signal
resolves10.1155/2020/8825547Mental Fatigue Has Great Impact on the Fractal Dimension of Brain Functional Network
resolves10.3389/fnint.2018.00055Localization of Active Brain Sources From EEG Signals Using Empirical Mode Decomposition: A Comparative Study
resolves10.1016/j.bspc.2020.102337EEG Signal denoising using hybrid approach of Variational Mode Decomposition and wavelets for depression
resolves10.3389/fphys.2020.00741A Bradycardia-Based Stress Calculator for the Neonatal Intensive Care Unit: A Multisystem Approach
resolves10.3389/fphys.2020.581250Maturation of the Autonomic Nervous System in Premature Infants: Estimating Development Based on Heart-Rate Variability Analysis
resolves10.1016/j.bspc.2021.102658Results of quantitative EEG analysis are associated with autism spectrum disorder and development abnormalities in infants with tuberous sclerosis complex
resolves10.3390/app7020150Driver Fatigue Detection System Using Electroencephalography Signals Based on Combined Entropy Features
resolves10.3390/e22111248Detecting Unfavorable Driving States in Electroencephalography Based on a PCA Sample Entropy Feature and Multiple Classification Algorithms
resolves10.1039/C8RA08523DStudy of driving skill level discrimination based on human physiological signal characteristics
resolves10.1109/TIM.2018.2865842Relative Wavelet Entropy Complex Network for Improving EEG-Based Fatigue Driving Classification
resolves10.1016/j.jneumeth.2020.108691Constructing Multi-scale Entropy Based on the Empirical Mode Decomposition(EMD) and its Application in Recognizing Driving Fatigue
resolves10.1063/5.0010330Modified multiscale fuzzy entropy: A robust method for short-term physiologic signals
resolves10.1016/j.pain.2013.07.043Transcutaneous electrical nerve stimulation reduces pain, fatigue and hyperalgesia while restoring central inhibition in primary fibromyalgia
resolves10.1155/2014/450249Study of Driving Fatigue Alleviation by Transcutaneous Acupoints Electrical Stimulations
resolves10.3390/s19224883Study on the Effect of Man-Machine Response Mode to Relieve Driving Fatigue Based on EEG and EOG
resolves10.1039/C8RA04846KEEG characteristic analysis of coach bus drivers based on brain connectivity as revealed
<i>via</i>
a graph theoretical network
resolves10.3390/e22070787Decoding Analysis of Alpha Oscillation Networks on Maintaining Driver Alertness
resolves10.1504/IJVD.2006.010178On the concept and measurement of driver drowsiness, fatigue and inattention: implications for countermeasures
resolves10.3390/e20090701Research on Recognition Method of Driving Fatigue State Based on Sample Entropy and Kernel Principal Component Analysis
resolves10.3390/e20030196Real-Time ECG-Based Detection of Fatigue Driving Using Sample Entropy
The 8 references without a DOI — listed, not checked
no DOI — not checkedEEG-based fatigue driving detection using correlation dimension
no DOI — not checkedGear Fault Diagnosis Based on Hilbert Envelope Spectrum and SVM
no DOI — not checkedGear Wear Fault Diagnosis Based on Improved EMD Frequency Family Separation Method
no DOI — not checkedIntelligent classification of resting eeg signals in depressive disorder based on emd and svm
no DOI — not checkedStudy on characteristic parameters of engine vibration signal based on multi-fractal
no DOI — not checkedDiscussion and analysis on Laogong point
no DOI — not checkedChai, M. (2019). Identification and Early-warning of Fatigue State of Intercity Coach Drivers. [Ph.D. Thesis, Jilin University].
no DOI — not checkedJian, J. (2002). Evaluation of Driving Fatigue Mechanism and Feedback Selecting Model. [Ph.D. Thesis, Southwest Jiaotong University].
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