ArticleSensors (Basel, Switzerland)2021
Tracking of Mental Workload with a Mobile EEG Sensor.
Article 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 12 papers, 1 of them a synthesis that pooled it.
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Who cites it
12 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Machine learning performance in EEG-based mental workload classification across task types: a systematic review.Frontiers in neuroergonomics · 2025Pooled it
- Multimodal EEG and Eye-Tracking Assessment of Perceived Mental Workload and Situation Awareness in a Visual Display Terminal Simulation Task.Sensors (Basel, Switzerland) · 2026Article
- A Feasibility Study of Using an In-Ear EEG System for a Quantitative Assessment of Stress and Mental Workload.Sensors (Basel, Switzerland) · 2026Article
- EEG in Education: A Scoping Review of Hardware, Software, and Methodological Aspects.Sensors (Basel, Switzerland) · 2024Article
- Diagnosis of Schizophrenia Using EEG Sensor Data: A Novel Approach with Automated Log Energy-Based Empirical Wavelet Reconstruction and Cepstral Features.Sensors (Basel, Switzerland) · 2024Article
- Reproducible machine learning research in mental workload classification using EEG.Frontiers in neuroergonomics · 2024Review
- What Is the Relationship between Metacognition and Mental Effort in Executive Functions? The Contribution of Neurophysiology.Behavioral sciences (Basel, Switzerland) · 2023Article
- Assessing cognitive workloads of assembly workers during multi-task switching.Scientific reports · 2023Article
- Reliability of Mental Workload Index Assessed by EEG with Different Electrode Configurations and Signal Pre-Processing Pipelines.Sensors (Basel, Switzerland) · 2023Article
- Effect of Cognitive Reserve on Physiological Measures of Cognitive Workload in Older Adults with Cognitive Impairments.Journal of Alzheimer's disease : JAD · 2023Article
- SSA with CWT andSensors (Basel, Switzerland) · 2022Article
- Human Mental Workload: A Survey and a Novel Inclusive Definition.Frontiers in psychology · 2022Review
Corrections and comments
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Authors and funding
8 authors.
Funding
Abstract
The aim of the present investigation was to assess if a mobile electroencephalography (EEG) setup can be used to track mental workload, which is an important aspect of learning performance and motivation and may thus represent a valuable source of information in the evaluation of cognitive training approaches. Twenty five healthy subjects performed a three-level N-back test using a fully mobile setup including tablet-based presentation of the task and EEG data collection with a self-mounted mobile EEG device at two assessment time points. A two-fold analysis approach was chosen including a standard analysis of variance and an artificial neural network to distinguish the levels of cognitive load. Our findings indicate that the setup is feasible for detecting changes in cognitive load, as reflected by alterations across lobes in different frequency bands. In particular, we observed a decrease of occipital alpha and an increase in frontal, parietal and occipital theta with increasing cognitive load. The most distinct levels of cognitive load could be discriminated by the integrated machine learning models with an accuracy of 86%.
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Registered trials
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