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Towards a virtual 4-class synchronous BCI using motor prediction and one motor imagery

Geng, T and Gan, JQ (2008) Towards a virtual 4-class synchronous BCI using motor prediction and one motor imagery. In: UNSPECIFIED, ? - ?.

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Abstract

Multi-class EEG-based BCIs (brain-computer interfaces) usually use a set of different mental tasks to generate different commands. This study shows that, after training with a specially designed BCI paradigm using one motor imagery, humans can learn to predict the time course of band power features of the EEG signals. With this newly-obtained prediction skill, subjects can use only one motor imagery to select one of the four targets on screen in each trial that lasts 3.4 seconds on average, which is functionally analogous to a 4-class synchronous BCI.

Item Type: Conference or Workshop Item (UNSPECIFIED)
Additional Information: Published proceedings: _not provided_
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
R Medicine > RC Internal medicine > RC0321 Neuroscience. Biological psychiatry. Neuropsychiatry
Divisions: Faculty of Science and Health > Computer Science and Electronic Engineering, School of
Depositing User: Users 161 not found.
Date Deposited: 06 Sep 2013 11:48
Last Modified: 15 Apr 2018 09:15
URI: http://repository.essex.ac.uk/id/eprint/4253

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