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

Multichannel EEG-based brain-computer communication

J R Wolpaw1, D J McFarland

  • 1Wadsworth Center for Laboratories and Research, New York State Department of Health, Albany 12201-0509.

Electroencephalography and Clinical Neurophysiology
|June 1, 1994
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

An exploration of BCI performance variations in people with amyotrophic lateral sclerosis using longitudinal EEG data.

Journal of neural engineering·2019
Same author

Controlling pre-movement sensorimotor rhythm can improve finger extension after stroke.

Journal of neural engineering·2018
Same author

EEG-Based Brain-Computer Interfaces.

Current opinion in biomedical engineering·2018
Same author

BCI in practice.

Progress in brain research·2016
Same author

Trained modulation of sensorimotor rhythms can affect reaction time.

Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology·2011
Same author

Does the 'P300' speller depend on eye gaze?

Journal of neural engineering·2010
Same journal

Coming to terms with brain waves.

Electroencephalography and clinical neurophysiology·2014
Same journal

Habituation of lower leg stretch responses in Parkinson's disease.

Electroencephalography and clinical neurophysiology·2000
Same journal

Asymmetry of cortical excitability revealed by transcranial stimulation in a patient with focal motor epilepsy and cortical myoclonus.

Electroencephalography and clinical neurophysiology·2000
Same journal

Evoked isometric muscle contractions in myopathies: analysis of pathophysiological properties by different stimulus patterns.

Electroencephalography and clinical neurophysiology·2000
Same journal

Task-related coherence and task-related spectral power changes during sequential finger movements.

Electroencephalography and clinical neurophysiology·2000
Same journal

Electrophysiological studies in mild idiopathic carpal tunnel syndrome.

Electroencephalography and clinical neurophysiology·2000
See all related articles

Brain-computer interfaces allow paralyzed individuals to control cursors using electroencephalogram (EEG) signals. This study demonstrates independent control of two EEG channels for enhanced environmental interaction.

Area of Science:

  • Neuroscience
  • Biomedical Engineering
  • Rehabilitation Technology

Background:

  • Individuals with severe motor impairments require alternative communication and control methods.
  • Electroencephalogram (EEG) signals offer a potential pathway for brain-computer interfaces (BCIs).

Purpose of the Study:

  • To investigate the feasibility of using electroencephalogram (EEG) activity for controlling a two-dimensional cursor.
  • To assess the specificity and independence of EEG signal control for individuals with motor disorders.

Main Methods:

  • Human subjects learned to control a 2D cursor using two bipolar EEG channels.
  • Fast Fourier Transform (FFT) analyzed 8-12 Hz EEG activity amplitudes.
  • Simultaneous control of vertical and horizontal cursor movements was achieved.

Related Experiment Videos

Main Results:

  • Independent control of two separate EEG channels was achieved by subjects.
  • The observed control was specific to the mu rhythm frequency range (8-12 Hz).
  • Control was not attributable to non-specific changes in overall brain activity.

Conclusions:

  • EEG-based control of cursor movement is a viable BCI application.
  • This technology holds significant potential for individuals with severe motor disabilities.
  • Further development of multichannel EEG BCIs could greatly enhance communication and environmental control.