ArticleSensors (Basel, Switzerland)2019
Single-Trial Cognitive Stress Classification Using Portable Wireless Electroencephalography.
Article in Sensors (Basel, Switzerland), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
18 citing papers in PubMed.
- A Cloud-Aware Scalable Architecture for Distributed Edge-Enabled BCI Biosensor System.Biosensors · 2026Article
- Mapping EEG Metrics to Human Affective and Cognitive Models: An Interdisciplinary Scoping Review from a Cognitive Neuroscience Perspective.Biomimetics (Basel, Switzerland) · 2025Review
- Do Audible Sounds During a Metacarpophalangeal and Metatarsophalangeal Thrust Manipulation Have an Impact on Intra-Articular Joint Space and Brainwave Activity?Healthcare (Basel, Switzerland) · 2025Article
- Could the Suboccipital Release Technique Result in a Generalized Relaxation and Self-Perceived Improvement? A Repeated Measure Study Design.Journal of clinical medicine · 2024Article
- Do Audible Sounds during a Lumbar Spine Thrust Manipulation Have an Impact on Brainwave Activity?Healthcare (Basel, Switzerland) · 2024Article
- One-Channel Wearable Mental Stress State Monitoring System.Sensors (Basel, Switzerland) · 2024Article
- Article
- Development of an EEG Headband for Stress Measurement on Driving Simulators.Sensors (Basel, Switzerland) · 2022Article
- Hybrid classification model for eye state detection using electroencephalogram signals.Cognitive neurodynamics · 2022Article
- Human state anxiety classification framework using EEG signals in response to exposure therapy.PloS one · 2022Article
- Emotion-Driven Analysis and Control of Human-Robot Interactions in Collaborative Applications.Sensors (Basel, Switzerland) · 2021Review
- Real-Time Stress Assessment Using Sliding Window Based Convolutional Neural Network.Sensors (Basel, Switzerland) · 2020Article
- Dynamic Changes in EEG Power Spectral Densities During NIH-Toolbox Flanker, Dimensional Change Card Sort Test and Episodic Memory Tests in Young Adults.Frontiers in human neuroscience · 2020Article
- EEG-Based Emotion Recognition: A State-of-the-Art Review of Current Trends and Opportunities.Computational intelligence and neuroscience · 2020Review
- Modified Support Vector Machine for Detecting Stress Level Using EEG Signals.Computational intelligence and neuroscience · 2020Article
- Predicting Depression, Anxiety, and Stress Levels from Videos Using the Facial Action Coding System.Sensors (Basel, Switzerland) · 2019Article
- Characterization of Industry 4.0 Lean Management Problem-Solving Behavioral Patterns Using EEG Sensors and Deep Learning.Sensors (Basel, Switzerland) · 2019Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
This work used a low-cost wireless electroencephalography (EEG) headset to quantify the human response to different cognitive stress states on a single-trial basis. We used a Stroop-type color⁻word interference test to elicit mild stress responses in 18 subjects while recording scalp EEG. Signals recorded from thirteen scalp locations were analyzed using an algorithm that computes the root mean square voltages in the theta (4⁻8 Hz), alpha (8⁻13 Hz), and beta (13⁻30 Hz) bands immediately following the initiation of Stroop stimuli; the mean of the Teager energy in each of these three bands; and the wideband EEG signal line-length and number of peaks. These computational features were extracted from the EEG signals on thirteen electrodes during each stimulus presentation and used as inputs to logistic regression, quadratic discriminant analysis, and k-nearest neighbor classifiers. Two complementary analysis methodologies indicated classification accuracies over subjects of around 80% on a balanced dataset for the logistic regression classifier when information from all electrodes was taken into account simultaneously. Additionally, we found evidence that stress responses were preferentially time-locked to stimulus presentation, and that certain electrode⁻feature combinations worked broadly well across subjects to distinguish stress states.
Indexed as
Identifiers
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.