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 Experiment Videos

BCI2000: a general-purpose brain-computer interface (BCI) system.

Gerwin Schalk1, Dennis J McFarland, Thilo Hinterberger

  • 1Laboratory of Nervous System Disorders, Wadsworth Center, New York State Department of Health, Albany, NY 12201-0509, USA. schalk@wadsworth.org

IEEE Transactions on Bio-Medical Engineering
|June 11, 2004
PubMed
Summary
This summary is machine-generated.

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

Neuromuscular Basis of Kinematic Adaptations During Bidirectional Walking.

bioRxiv : the preprint server for biology·2026
Same author

Neurorehabilitation in the 21st Century: New Science, New Strategies, New Expectations.

Neurorehabilitation and neural repair·2026
Same author

sEEG-based brain-computer interfacing in a large adult and pediatric cohort.

Journal of neural engineering·2025
Same author

Adaptive neuromodulation dialogues: navigating current challenges and emerging innovations in neuromodulation system development.

Journal of neural engineering·2025
Same author

Detection of eye movements and eye blinks using a portable two-channel EEG platform.

Journal of neuroscience methods·2025
Same author

Bidirectional locomotion induces asymmetric limb adaptations.

Journal of neurophysiology·2025
Same journal

Magnetic Resonance Spectroscopy Deep Learning with Magnetic Resonance Background Generator Enables In Vivo Metabolite Quantification of Hepatic Encephalopathy.

IEEE transactions on bio-medical engineering·2026
Same journal

Use of RPNIs and Implanted Electrodes for Prosthetic Wrist and Multi-Grip Hand Control during Functional Tasks: A Case Study.

IEEE transactions on bio-medical engineering·2026
Same journal

Healthy Limb Driven Prediction for Real Time Control of Unilateral Exoskeletons in Gait Rehabilitation.

IEEE transactions on bio-medical engineering·2026
Same journal

A Miniature Wearable Ultrasound System for Continuous Bladder Monitoring with Sleeping-Position-Robust Modeling Strategies.

IEEE transactions on bio-medical engineering·2026
Same journal

A Bi-objective Array Optimization Framework for Magnetocardiographic Source Imaging.

IEEE transactions on bio-medical engineering·2026
Same journal

A Dynamic Mutual Information Measure of Phase-Amplitude Coupling with Uncertainty Quantification.

IEEE transactions on bio-medical engineering·2026
See all related articles

A new platform, BCI2000, enables flexible brain-computer interface (BCI) research by integrating diverse brain signals and methods. This facilitates systematic BCI development for individuals with motor impairments.

Area of Science:

  • Neuroscience
  • Biomedical Engineering
  • Computer Science
  • Rehabilitation Engineering

Background:

  • Brain-computer interface (BCI) systems offer communication and control for individuals with severe motor disabilities.
  • Progress in BCI technology is hindered by the lack of standardized platforms for systematic evaluation of various components.
  • Existing BCI systems are typically designed for single methods, limiting comparative research and development.

Purpose of the Study:

  • To introduce BCI2000, a general-purpose, documented research and development platform for BCI systems.
  • To enable systematic evaluation and comparison of diverse brain signals, recording methods, processing algorithms, and operating protocols.
  • To facilitate the creation of adaptable BCI applications and psychophysiological experiments.

Related Experiment Videos

Main Methods:

  • Development of a flexible BCI platform, BCI2000, capable of integrating various brain signals and processing techniques.
  • Implementation of BCI systems using BCI2000 for diverse applications and signal types.
  • Evaluation of system performance in online operation, focusing on real-time requirements.

Main Results:

  • BCI2000 successfully supports a variety of brain signals, processing methods, and applications.
  • BCI systems developed with BCI2000 demonstrate effective online functionality.
  • The platform meets the stringent real-time processing demands of BCI applications.

Conclusions:

  • BCI2000 significantly reduces labor and cost associated with BCI research and development.
  • The platform accelerates the implementation of different BCI systems and psychophysiological experiments.
  • BCI2000 is freely available for research and educational purposes, fostering wider adoption and advancement in the field.