Reference health

Study on a Portable Electrode Used to Detect the Fatigue of Tower Crane Drivers in Construction Environment

https://doi.org/10.2139/ssrn.4501377
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23/23 checkable references clean · checked 2026-07-22

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.

21 without a DOI — not checked. A reference deposited without a DOI is never matched by title or guessed at; it stays outside the checked set, and this line discloses that.

The 23 checked references that resolve
resolves10.1007/s12205-016-0980-9
Applying physiological status monitoring in improving construction safety management
resolves10.3390/e20030196
Real-Time ECG-Based Detection of Fatigue Driving Using Sample Entropy
resolves10.1109/ACCESS.2019.2915533
Driving Fatigue Classification Based on Fusion Entropy Analysis Combining EOG and EEG
resolves10.1109/ACCESS.2019.2956652
Modeling and Recognition of Driving Fatigue State Based on R-R Intervals of ECG Data
resolves10.1016/S1388-2457(00)00533-2
Scalp electrode impedance, infection risk, and EEG data quality
resolves10.1088/1741-2560/13/3/036014
Induction and separation of motion artifacts in EEG data using a mobile phantom head device
resolves10.1109/JSEN.2020.3012394
Impedance and Noise of Passive and Active Dry EEG Electrodes: A Review
resolves10.1111/psyp.12536
High and dry? Comparing active dry EEG electrodes to active and passive wet electrodes
resolves10.1016/j.sna.2021.112727
A reliable stretchable dry electrode for monitoring of EEG signals
resolves10.1016/j.medengphy.2011.11.002
Wireless instrumentation system based on dry electrodes for acquiring EEG signals
resolves10.1109/JSEN.2022.3201015
A Driving Fatigue Feature Detection Method Based on Multifractal Theory
resolves10.3390/e23091209
Research on Driving Fatigue Alleviation Using Interesting Auditory Stimulation Based on VMD-MMSE
resolves10.1109/TPAMI.2002.1017623
Multiresolution gray-scale and rotation invariant texture classification with local binary patterns
resolves10.1023/B:VISI.0000029664.99615.94
Distinctive Image Features from Scale-Invariant Keypoints
resolves10.1109/5254.708428
Support vector machines
resolves10.1007/978-3-642-38466-0_38
Leaf Classification Methods Based on SVM and SIFT
resolves10.1016/j.mtchem.2022.101085
EEG sensor system development consisting of solid polyvinyl alcohol–glycerol–NaCl contact gel and 3D-printed, silver-coated polylactic acid electrode for potential brain–computer interface use
resolves10.3390/s19224883
Study on the Effect of Man-Machine Response Mode to Relieve Driving Fatigue Based on EEG and EOG
resolves10.1007/978-3-319-46493-0_22
A Unified Multi-scale Deep Convolutional Neural Network for Fast Object Detection
resolves10.1016/j.ssci.2008.01.007
Can SVM be used for automatic EEG detection of drowsiness during car driving?
resolves10.1007/s11571-018-9485-1
Automated detection of driver fatigue based on EEG signals using gradient boosting decision tree model
resolves10.3389/fncom.2017.00072
Automated Detection of Driver Fatigue Based on AdaBoost Classifier with EEG Signals
resolves10.3906/elk-2008-83
Using EEG to detect driving fatigue based on common spatial pattern and support vector machine
The 21 references without a DOI — listed, not checked
no DOI — not checkedref1
no DOI — not checkedref3
no DOI — not checkedEffects of dataset characteristics on the performance of fatigue detection for crane operators using hybrid deep neural networks[J]
no DOI — not checkedMonitoring and alerting of crane operator fatigue using hybrid deep neural networks in the prefabricated products assembly process
no DOI — not checkedDetection of driving fatigue by using noncontact EMG and ECG signals measurement system[J]
no DOI — not checkedref16
no DOI — not checkedReview of semi-dry electrodes for EEG recording[J]
no DOI — not checkedref21
no DOI — not checkedref22
no DOI — not checkedHistograms of oriented gradients for human detection
no DOI — not checkedref26
no DOI — not checkedref28
no DOI — not checkedref29
no DOI — not checkedref31
no DOI — not checkedDetection method of pomegranate leaf disease based on multi classification SVM[J]
no DOI — not checkedBrain complex network characteristic analysis of fatigue during simulated driving based on electroencephalogram signals
no DOI — not checkedA reliable stretchable dry electrode for monitoring of EEG signals
no DOI — not checkedref39
no DOI — not checkedref40
no DOI — not checkedref41
no DOI — not checkedref42
What this badge says. CiteStamped means the CHECKABLE references of this work were clean at the dated check: each resolved to a known work in a public registry, and none carried a retraction notice at that time. It says nothing about the quality, findings, or importance of the work itself, and nothing about references deposited without a DOI.

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