J Kubánek et al 2009 J. Neural Eng. 6 066001 doi:10.1088/1741-2560/6/6/066001
J Kubánek1,2,3, K J Miller4,5, J G Ojemann6, J R Wolpaw1 and G Schalk1,7,8,9,10
Show affiliationsBrain signals can provide the basis for a non-muscular communication and control system, a brain–computer interface (BCI), for people with motor disabilities. A common approach to creating BCI devices is to decode kinematic parameters of movements using signals recorded by intracortical microelectrodes. Recent studies have shown that kinematic parameters of hand movements can also be accurately decoded from signals recorded by electrodes placed on the surface of the brain (electrocorticography (ECoG)). In the present study, we extend these results by demonstrating that it is also possible to decode the time course of the flexion of individual fingers using ECoG signals in humans, and by showing that these flexion time courses are highly specific to the moving finger. These results provide additional support for the hypothesis that ECoG could be the basis for powerful clinically practical BCI systems, and also indicate that ECoG is useful for studying cortical dynamics related to motor function.
87.80.-y Biophysical techniques (research methods)
87.19.R- Mechanical and electrical properties of tissues and organs
Issue 6 (December 2009)
Received 21 October 2008, accepted for publication 27 August 2009
Published 1 October 2009
J Kubánek et al 2009 J. Neural Eng. 6 066001
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