ReviewSensors (Basel, Switzerland)2021
A Review on Mental Stress Assessment Methods Using EEG Signals.
Review in Sensors (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 65 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
65 citing papers in PubMed, 1 synthesis or guideline pooled it.
- An Overview of Stress Analysis Based on Physiological Signals: Systematic Review of Open Datasets and Current Trends.Sensors (Basel, Switzerland) · 2025Pooled it
- Comprehensive Mitigation of Peripheral and Central Stress Responses by Nx4: Insights From EEG and Heart Rate Variability in Post-Stress Resting State.Human psychopharmacology · 2025Trial
- Green light exposure reduces central sensitization in cats with osteoarthritis-associated somatosensory impairment.iScience · 2026Article
- Multimodal physiological correlates of surgeon stress in live robot-assisted surgery.Surgical endoscopy · 2026Observational
- A Low-Cost Wearable Multimodal Brain Signal Acquisition System Integrating EEG and fNIRS for Depression Detection.Biosensors · 2026Article
- Brain Signal for Secure EEG Biometric Authentication: A Comprehensive Survey.Sensors (Basel, Switzerland) · 2026Review
- Different pattern: a new EEG-based method for mental performance detection.BMC medical informatics and decision making · 2026Article
- An Arduino-Based, Portable Prototype for the Recording and Analysis of EEG Signals to Support Self-Detection and Self-Monitoring of Stress.Sensors (Basel, Switzerland) · 2026Article
- A Narrative Review of AI Frameworks for Chronic Stress Detection Using Physiological Sensing: Resting, Longitudinal, and Reactivity Perspectives.Sensors (Basel, Switzerland) · 2026Review
- Mental Stress Detection Using Physiological Sensors and Artificial Intelligence: A Review.Sensors (Basel, Switzerland) · 2026Review
- Physiological Assessment of Mental Stress in Construction Workers Under High-Risk Working Conditions: ECG-Based Field Measurements on Inexperienced Scaffolders.Sensors (Basel, Switzerland) · 2026Article
- A novel approach for the EEG-driven assessment of divided attention through mutual information theory: A case study at the wheel.PloS one · 2026Article
- Impact of stress on EEG functional connectivity during procedural learning.Clinical neurophysiology practice · 2026Article
- Psychophysiological and Neurobiological Responses to Deception and Emotional Stimuli: A Pilot Study on the Interplay of Personality Traits and Perceived Stress.Brain sciences · 2025Article
- Short-Term Detection of Dynamic Stress Levels in Exergaming with Wearables.Sensors (Basel, Switzerland) · 2025Article
- A Novel Optimized Hybrid Deep Learning Framework for Mental Stress Detection Using Electroencephalography.Brain sciences · 2025Article
- Neural Correlates of Burnout Syndrome Based on Electroencephalography (EEG)-A Mechanistic Review and Discussion of Burnout Syndrome Cognitive Bias Theory.Journal of clinical medicine · 2025Review
- Cognitive load assessment through EEG: A dataset from arithmetic and Stroop tasks.Data in brief · 2025Article
- Real-time fear emotion recognition in mice based on multimodal data fusion.Scientific reports · 2025Article
- Diaphragmatic Breathing Interfaces to Promote Relaxation for Mitigating Insomnia: Pilot Study.JMIR serious games · 2025Article
5 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
Mental stress is one of the serious factors that lead to many health problems. Scientists and physicians have developed various tools to assess the level of mental stress in its early stages. Several neuroimaging tools have been proposed in the literature to assess mental stress in the workplace. Electroencephalogram (EEG) signal is one important candidate because it contains rich information about mental states and condition. In this paper, we review the existing EEG signal analysis methods on the assessment of mental stress. The review highlights the critical differences between the research findings and argues that variations of the data analysis methods contribute to several contradictory results. The variations in results could be due to various factors including lack of standardized protocol, the brain region of interest, stressor type, experiment duration, proper EEG processing, feature extraction mechanism, and type of classifier. Therefore, the significant part related to mental stress recognition is choosing the most appropriate features. In particular, a complex and diverse range of EEG features, including time-varying, functional, and dynamic brain connections, requires integration of various methods to understand their associations with mental stress. Accordingly, the review suggests fusing the cortical activations with the connectivity network measures and deep learning approaches to improve the accuracy of mental stress level assessment.
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.