Classifying motor imagery with FES induced EEG patterns
Javier Pascual, Ander Ramos and Carmen Vidaurre
In: Society of Applied Neuroscience meeting, 5-8 May 2011, Thessaloniki, Greece.

Abstract

Functional Electrical Stimulation (FES) is commonly used in motor rehabilitation. Also, motor imagery (MI) based brain computer interfaces (BCIs) have been proposed as a possible treatment by activation of the same brain areas as the ones involved in visuomotor tasks. However, to use a MI-based BCI it is necessary to perform a screening session to compute a classifier. In this work we study whether it is possible to setup a classifier with brain patterns induced by FES signals and classify MI data.

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