Literature DB >> 7515787

Multichannel EEG-based brain-computer communication.

J R Wolpaw1, D J McFarland.   

Abstract

Individuals who are paralyzed or have other severe movement disorders often need alternative means for communicating with and controlling their environments. In this study, human subjects learned to use two channels of bipolar EEG activity to control 2-dimensional movement of a cursor on a computer screen. Amplitudes of 8-12 Hz activity in the EEG recorded from the scalp across right and left central sulci were determined by fast Fourier transform and combined to control vertical and horizontal cursor movements simultaneously. This independent control of two separate EEG channels cannot be attributed to a non-specific change in brain activity and appeared to be specific to the mu rhythm frequency range. With further development, multichannel EEG-based communication may prove of significant value to those with severe motor disabilities.

Entities:  

Mesh:

Year:  1994        PMID: 7515787     DOI: 10.1016/0013-4694(94)90135-x

Source DB:  PubMed          Journal:  Electroencephalogr Clin Neurophysiol        ISSN: 0013-4694


  55 in total

1.  Real-time brain-computer interfacing: a preliminary study using Bayesian learning.

Authors:  S J Roberts; W D Penny
Journal:  Med Biol Eng Comput       Date:  2000-01       Impact factor: 2.602

Review 2.  Brain-computer interfaces in medicine.

Authors:  Jerry J Shih; Dean J Krusienski; Jonathan R Wolpaw
Journal:  Mayo Clin Proc       Date:  2012-02-10       Impact factor: 7.616

3.  Classification of multichannel EEG patterns using parallel hidden Markov models.

Authors:  Dror Lederman; Joseph Tabrikian
Journal:  Med Biol Eng Comput       Date:  2012-03-10       Impact factor: 2.602

4.  Exploration of computational methods for classification of movement intention during human voluntary movement from single trial EEG.

Authors:  Ou Bai; Peter Lin; Sherry Vorbach; Jiang Li; Steve Furlani; Mark Hallett
Journal:  Clin Neurophysiol       Date:  2007-10-29       Impact factor: 3.708

Review 5.  Advanced neurotechnologies for chronic neural interfaces: new horizons and clinical opportunities.

Authors:  Daryl R Kipke; William Shain; György Buzsáki; E Fetz; Jaimie M Henderson; Jamille F Hetke; Gerwin Schalk
Journal:  J Neurosci       Date:  2008-11-12       Impact factor: 6.167

6.  Sensorimotor rhythm-based brain-computer interface (BCI): model order selection for autoregressive spectral analysis.

Authors:  Dennis J McFarland; Jonathan R Wolpaw
Journal:  J Neural Eng       Date:  2008-04-22       Impact factor: 5.379

7.  Emulation of computer mouse control with a noninvasive brain-computer interface.

Authors:  Dennis J McFarland; Dean J Krusienski; William A Sarnacki; Jonathan R Wolpaw
Journal:  J Neural Eng       Date:  2008-03-05       Impact factor: 5.379

Review 8.  Evolution of brain-computer interfaces: going beyond classic motor physiology.

Authors:  Eric C Leuthardt; Gerwin Schalk; Jarod Roland; Adam Rouse; Daniel W Moran
Journal:  Neurosurg Focus       Date:  2009-07       Impact factor: 4.047

9.  The advantages of the surface Laplacian in brain-computer interface research.

Authors:  Dennis J McFarland
Journal:  Int J Psychophysiol       Date:  2014-08-01       Impact factor: 2.997

10.  Cortical imaging of event-related (de)synchronization during online control of brain-computer interface using minimum-norm estimates in frequency domain.

Authors:  Han Yuan; Alexander Doud; Arvind Gururajan; Bin He
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2008-10       Impact factor: 3.802

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