Method Article

Using an EEG-Based Brain-Computer Interface for Virtual Cursor Movement with BCI2000

DOI:

10.3791/1319

July 29th, 2009

In This Article

Summary

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In this video, we demonstrate the steps required to run a brain-computer interface experiment, including setting up the EEG cap, calibrating the system, and training the user to move a cursor in two dimensions using imagined movements.

Abstract

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A brain-computer interface (BCI) functions by translating a neural signal, such as the electroencephalogram (EEG), into a signal that can be used to control a computer or other device. The amplitude of the EEG signals in selected frequency bins are measured and translated into a device command, in this case the horizontal and vertical velocity of a computer cursor. First, the EEG electrodes are applied to the user s scalp using a cap to record brain activity. Next, a calibration procedure is used to find the EEG electrodes and features that the user will learn to voluntarily modulate to use the BCI. In humans, the power in the mu (8-12 Hz) and beta (18-28 Hz) frequency bands decrease in amplitude during a real or imagined movement. These changes can be detected in the EEG in real-time, and used to control a BCI ([1],[2]). Therefore, during a screening test, the user is asked to make several different imagined movements with their hands and feet to determine the unique EEG features that change with the imagined movements. The results from this calibration will show the best channels to use, which are configured so that amplitude changes in the mu and beta frequency bands move the cursor either horizontally or vertically. In this experiment, the general purpose BCI system BCI2000 is used to control signal acquisition, signal processing, and feedback to the user [3].

Protocol

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Experimental Procedure

  1. Connecting the EEG Electrodes
    1. Electrodes will be attached to the scalp using an EEG cap; this simplifies the process of ensuring that the electrodes are in the proper location on the scalp, as specified by the 10-20 international system.
    2. To place the cap, mark the vertex on the subject's scalp using a felt-tip pen or some other similar method. To do so, begin by locating the nasion and inion on the subject. Using a tape measure, find the distance between these two locations. The point midway between the two points, or 50% of the distance, is the vertex. Make a mark at that point for later reference. Other 10-20 points....

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Discussion

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  1. It is vital that the electrode impedances are low, but that too much gel was not used to lower the impedance. A single bad channel can affect all the others through the common-average reference. If the impedance cannot be reduced after several tries, it is recommended that a quick-insert electrode be used, which can simply be inserted into the bad electrode through the hole that the needle is placed through for injecting the gel, and taped in place.
  2. During the first session, the subject may have difficulty imagining the requ.......

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Acknowledgements

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NIH NIBIB RO1: 1R01EB009103-01
Clinical Neuroengineering Training Program (1 T90 DK070079-01)
Wallace H Coulter Foundation
NIH Institutional Clinical and Translational Science Award
NIH/NCRR 1KL2RR025012-01
Wisconsin Alumni Research Foundation

....

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Materials

List of materials used in this article
NameCompanyCatalog NumberComments
BCI2000- Compatible Amplifer Systemg.USBamphttp://www.gtect.at
BCI2000- Compatible Amplifer SystemTucker-Davis TechnologiesRx5 or Rx 7http://www.tdt.com
EEG capElectro-cap Internationalhttp://www.electro-cap.com
At a minimum, the cap should have electrodes over hand and feet areas (C3, C4, and Cz). Additional channels can be used for control (CP3, CP4, CPz) and for spatial filtering as well, which will improve the signal quality.
Conductive gelElectro-cap Internationalhttp://www.electro-cap.com
PCRunning Windows XP or Vista (at least Pentium 4, 2 GHz, 1 GB RAM)
Two monitorsEach at least 19in (one for the subject and one for the researcher)

References

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  1. Fabiani, G. E., McFarland, D. J., Wolpaw, J. R., Pfurtscheller, G. Conversion of eeg activity into cursor movement by a brain-computer interface (bci). IEEE transactions on neural systems and rehabilitation engineering. 12 (3), 331-338 (2004).
  2. Wolpaw, J. R., McFarland, D. J.

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Tags

EEG Brain Computer InterfaceBCI2000 SystemEEG Electrode PlacementMu Beta Frequency BandsImagined Movement CalibrationCursor Control TaskCommon Average ReferenceClassification Matrix ConfigurationR Squared Feature SelectionOffline Analysis Tool

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