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

Improving P300 morphology through single-trial latency realignment: a comparative study of template-matching approaches.

Journal of neural engineering·2026
Same author

An online brain-computer interface for detecting incongruity in augmented reality applications.

Journal of neural engineering·2026
Same author

EEG Correlates of Upper Limb Function During the Box and Block Test After Stroke.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society·2026
Same author

Turning motor intentions into words: an MRCP-based BCI speller for motor-impaired users enhanced by task-specific calibration.

Journal of neural engineering·2026
Same author

Make it fun but keep it simple: EEG reveals the impact of easy yet engaging games for stroke rehabilitation.

Journal of neuroengineering and rehabilitation·2026
Same author

Opposing cortical forces: Alpha slowing and sensorimotor mu acceleration during motor-related BCI training.

PLoS computational biology·2026

Related Experiment Video

Updated: Feb 26, 2026

An Experimental Platform to Study the Closed-loop Performance of Brain-machine Interfaces
10:51

An Experimental Platform to Study the Closed-loop Performance of Brain-machine Interfaces

Published on: March 10, 2011

14.3K

TiD-Introducing and Benchmarking an Event-Delivery System for Brain-Computer Interfaces.

Christian Breitwieser, Michele Tavella, Martijn Schreuder

    IEEE Transactions on Neural Systems and Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society
    |July 21, 2017
    PubMed
    Summary

    We developed Tools for brain-computer interaction interface D (TiD), an event distribution system for brain-computer interfaces. TiD ensures stable and low-latency event delivery for real-time analysis and experimental synchronization.

    More Related Videos

    Assessment and Communication for People with Disorders of Consciousness
    07:37

    Assessment and Communication for People with Disorders of Consciousness

    Published on: August 1, 2017

    9.7K
    A Single-Channel and Non-Invasive Wearable Brain-Computer Interface for Industry and Healthcare
    06:34

    A Single-Channel and Non-Invasive Wearable Brain-Computer Interface for Industry and Healthcare

    Published on: July 7, 2023

    3.3K

    Related Experiment Videos

    Last Updated: Feb 26, 2026

    An Experimental Platform to Study the Closed-loop Performance of Brain-machine Interfaces
    10:51

    An Experimental Platform to Study the Closed-loop Performance of Brain-machine Interfaces

    Published on: March 10, 2011

    14.3K
    Assessment and Communication for People with Disorders of Consciousness
    07:37

    Assessment and Communication for People with Disorders of Consciousness

    Published on: August 1, 2017

    9.7K
    A Single-Channel and Non-Invasive Wearable Brain-Computer Interface for Industry and Healthcare
    06:34

    A Single-Channel and Non-Invasive Wearable Brain-Computer Interface for Industry and Healthcare

    Published on: July 7, 2023

    3.3K

    Area of Science:

    • Neuroscience
    • Computer Science
    • Biomedical Engineering

    Background:

    • Events are crucial for marking experimental incidents in brain-computer interfaces (BCIs).
    • Efficient event distribution is vital for real-time data analysis and synchronization in BCI experiments.

    Purpose of the Study:

    • To present and analyze Tools for brain-computer interaction interface D (TiD), a novel event distribution system for BCIs.
    • To evaluate the stability, latency, and performance of the TiD system under various network conditions.

    Main Methods:

    • TiD utilizes XML messages transmitted via TCP/IP or shared memory.
    • A dedicated server dispatches TiD messages to distributed or local clients.
    • Event jitter effects were analyzed and benchmarked on a reference implementation.

    Main Results:

    • Mean event distribution times range from 0.3 to 0.5ms over a gigabit network for 10^6 events.
    • Signal attenuation due to event jitter becomes noticeable around 1-2 kHz on gigabit connections.
    • TiD demonstrated stability and low latency across different network configurations (Ethernet, Wi-Fi).

    Conclusions:

    • TiD provides a flexible and efficient solution for event distribution in BCI systems.
    • The system is applicable for both distributed and local client setups, enhancing BCI data processing.
    • TiD's performance metrics support its use in demanding BCI applications requiring precise event synchronization.