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Functional brain imaging techniques that are designed to
measure an aspect of brain function can be employed to
obtain tangible information related to brain activity.
Electroencephalogram (EEG) is one such technique, which
measures the electric fields that are produced by the activity
in the brain. From EEG measurements, it is possible to
extract information and determine the intent of the user for a
number of different mental activities (e.g., motor imagery,
motor planning), using a variety of electrophysiological
signals such as slow cortical potentials, P300 potentials, and
mu or beta rhythms recorded from the scalp, and cortical
neuronal activity recorded by implanted electrodes. The
use of EEG for the communication of intent is one of the
bases of Brain-Computer Interface (BCI) research, which is
geared towards the development of systems to afford people
with disabilities or severe neuromuscular disorders the
capability of basic communication (by operating word processing programs or through neuroprostheses).
EEG signals acquired during mental activities can also be used for subject
identification to create a more secure environment for
applications such as BCIs, game play, or silent
communication.
Code has been successfully tested on UCI EEG Database. This database
contains measurements from 64 electrodes placed on the scalp sampled at 256 Hz (3.9-msec epoch) for 1 second.
Index Terms: Matlab, source, code, EEG, recognition, electroencephalogram, brain, electric, field.
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Figure 1. Brain image |
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A simple and effective source code for EEG Recognition System. |
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Demo code (protected
P-files) available for performance evaluation. Matlab Neural Network Toolbox and Matlab System Identification Toolbox are required.
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Release |
Date |
Major features |
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1.0 |
2012.06.18 |
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We recommend to check the secure connection to PayPal, in order to avoid any fraud. This donation has to be considered an encouragement to improve the code itself. |
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EEG Recognition System. Click here for
your donation. In order to obtain the source code you
have to pay a little sum of money: 300 EUROS (less
than 420 U.S. Dollars). |
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Once you have done this, please email us luigi.rosa@tiscali.it As soon as possible (in a few days) you will receive our new release of EEG Recognition System. Alternatively, you can bestow using our banking coordinates:
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The authors have no relationship or partnership
with The Mathworks. All the code provided is written in Matlab
language (M-files and/or M-functions), with no dll or other
protected parts of code (P-files or executables). The code was
developed with Matlab 14 SP1. Matlab Neural Network Toolbox and Matlab System Identification Toolbox are required.
The code provided has to be considered "as is" and it is without any kind of warranty. The
authors deny any kind of warranty concerning the code as well
as any kind of responsibility for problems and damages which may
be caused by the use of the code itself including all parts of
the source code.
