The use of EEG modifications due to motor imagery for brain-computer interfaces

IEEE Transactions on Neural Systems and Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society
Febo CincottiFabio Babiloni

Abstract

The opening of a communication channel between brain and computer [brain-computer interface (BCI)] is possible by using changes in electroencephalogram (EEG) power spectra related to the imagination of movements. In this paper, we present results obtained by recording EEG during an upper limb motor imagery task in a total of 18 subjects by using low-resolution surface Laplacian, different linear and quadratic classifiers, as well as a variable number of scalp electrodes, from 2 to 26. The results (variable correct classification rate of mental imagery between 75% and 95%) suggest that it is possible to recognize quite reliably ongoing mental movement imagery for BCI applications.

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Citations

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Related Concepts

Entire Scalp
Electroencephalography
Imagination
Brain
Fingers
Scalp Structure
Upper Extremity
Potentials, Event-Related
Virtual Systems
Evoked Potentials, Motor

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