Discriminating MEG signals recorded during hand movements using selection of efficient features

Discriminating MEG signals recorded during hand movements using selection of efficient features

The aim of a Brain-Computer Interface (BCI) system is to establish a new communication system that translates human intentions, reflected by brain signals such as Magnetoencephalogram (MEG), into a control signal for an output device. In this paper, an algorithm is proposed for discriminating MEG si...

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Bibliographic Details
Main Authors: Sepideh eHajipour Sardouie, Mohammad Bagher Shamsollahi
Format: Article
Language:English
Published: Frontiers Media S.A. 2012-04-01
Series:Frontiers in Neuroscience
Subjects:
MEG
BCI
Feature Selection
LDA
Linear SVM
Online Access:http://journal.frontiersin.org/Journal/10.3389/fnins.2012.00042/full

Internet

http://journal.frontiersin.org/Journal/10.3389/fnins.2012.00042/full

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