Brain Computer Interface (BCI) is a communication pathway between devices (computers) and the human
brain. It treats brain signals in a real-time basis and deciphers some of what the human brain is doing to give
us certain information. In this work, we develop the BCI system based on simultaneous electroencephalograph
(EEG) and magnetoencephalography (MEG) using various preprocessing and feature extraction methods along
with Fisher linear discriminant analysis (FLDA) classifier. Common spatial pattern (CSP) is a spatial filter
whose spatially projected signal has maximum power for one class and minimum power for the other. Each
single trial is computed by the variance in the time domain. We choose a proper number of patterns in order
to make a feature vector. In this work, 6 CSP patterns, the first three and the last three ones are selected. A
feature vector consists of 6 variances of each extracted CSP pattern from projected data. Among various CSP
methods, we used normal common spatial patterns (CSP), invariant common spatial patterns (iCSP), and common
spectral spatial patterns (CSSP) methods to measure the performances. Simultaneous MEG/EEG datasets
(340 channels) for four subjects from Eleckta Vectorview system were digitally acquired at a 1 KHz and 8-30Hz
bandpass filtered. Total 340 channels consist of three kinds of channel types such as 102 magnetometers, 204
gradiometers and 40 EEG electrodes. Three different modalities such as EEG-only, MEG-only, and simultaneous
MEG and EEG were analyzed in order to study comparative BCI performances on three variants of CSP.
Particularly, for simultaneous MEG/EEG data we proposed three different combination ways for BCI and their
performances were discussed.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
INSTITUTIONAL Select your institution to access the SPIE Digital Library.
PERSONAL Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.