Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

MEG state dynamics of sentence generation: evidence for a compensatory segmentation mechanism in healthy aging.

Frontiers in computational neuroscience·2026
Same author

Error-related potentials detection to enhance human-robot collaboration: a mini review.

Frontiers in neuroergonomics·2026
Same author

Near-invisible c-VEP-based passive BCI for mental workload monitoring.

Journal of neural engineering·2026
Same author

A Unified Framework for Matrix Backpropagation.

IEEE transactions on neural networks and learning systems·2025
Same author

Compact Colocated Bimodal EEG/fNIRS Multi-Distance Sensor.

Sensors (Basel, Switzerland)·2025
Same author

Does topological data analysis work for EEG-based brain-computer interfaces?

Journal of neural engineering·2025

Related Experiment Video

Updated: May 7, 2026

Estimate the Cognitive Load Using Electrocardiographic Measure: A Human-AI Collaborative Task
07:08

Estimate the Cognitive Load Using Electrocardiographic Measure: A Human-AI Collaborative Task

Published on: December 5, 2025

1.2K

Mental fatigue and working memory load estimation: interaction and implications for EEG-based passive BCI.

Raphaelle N Roy, Stephane Bonnet, Sylvie Charbonnier

    Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
    |October 11, 2013
    PubMed
    Summary

    Mental fatigue from prolonged tasks impacts cognitive state assessment. This study reveals how workload and time-on-task affect EEG features, reducing accuracy in passive brain-computer interfaces (pBCI).

    More Related Videos

    Assessing the Multiple Dimensions of Engagement to Characterize Learning: A Neurophysiological Perspective
    13:57

    Assessing the Multiple Dimensions of Engagement to Characterize Learning: A Neurophysiological Perspective

    Published on: July 1, 2015

    10.6K
    Conducting Concurrent Electroencephalography and Functional Near-Infrared Spectroscopy Recordings with a Flanker Task
    13:18

    Conducting Concurrent Electroencephalography and Functional Near-Infrared Spectroscopy Recordings with a Flanker Task

    Published on: May 24, 2020

    7.2K

    Related Experiment Videos

    Last Updated: May 7, 2026

    Estimate the Cognitive Load Using Electrocardiographic Measure: A Human-AI Collaborative Task
    07:08

    Estimate the Cognitive Load Using Electrocardiographic Measure: A Human-AI Collaborative Task

    Published on: December 5, 2025

    1.2K
    Assessing the Multiple Dimensions of Engagement to Characterize Learning: A Neurophysiological Perspective
    13:57

    Assessing the Multiple Dimensions of Engagement to Characterize Learning: A Neurophysiological Perspective

    Published on: July 1, 2015

    10.6K
    Conducting Concurrent Electroencephalography and Functional Near-Infrared Spectroscopy Recordings with a Flanker Task
    13:18

    Conducting Concurrent Electroencephalography and Functional Near-Infrared Spectroscopy Recordings with a Flanker Task

    Published on: May 24, 2020

    7.2K

    Area of Science:

    • Neuroscience
    • Cognitive Science
    • Human-Computer Interaction

    Background:

    • Passive brain-computer interfaces (pBCI) enable real-time operator cognitive state assessment.
    • Electroencephalography (EEG) band power is commonly used for workload level (WKL) estimation.
    • Mental fatigue, induced by extended time-on-task (TOT), can alter EEG features.

    Purpose of the Study:

    • To investigate the influence of WKL and TOT on EEG band power features.
    • To analyze the interaction between WKL and TOT and its effect on classification performance.
    • To address the lack of knowledge regarding mental fatigue's impact on WKL assessment in pBCI systems.

    Main Methods:

    • Twenty participants performed tasks with modulated WKL (low/high) and TOT (short/long).
    • EEG signals, behavioral, and subjective data were collected and statistically analyzed.
    • Examined changes in EEG band power features and their discriminability for WKL.

    Main Results:

    • Opposite changes in alpha power distribution were observed between WKL and TOT conditions.
    • Increasing TOT decreased the discriminability of WKL levels.
    • Both the number of statistical differences in band power and classification performance declined with longer TOT.

    Conclusions:

    • Mental fatigue significantly impacts EEG-based WKL assessment, particularly with extended time-on-task.
    • The interaction between WKL and TOT complicates cognitive state monitoring.
    • Findings have implications for designing more robust pBCI systems and experimental protocols.