Decoding flexion of individual fingers using electrocorticographic signals in humans.

TitleDecoding flexion of individual fingers using electrocorticographic signals in humans.
Publication TypeJournal Article
Year of Publication2009
AuthorsKubánek, J, Miller, JW, Ojemann, JG, Wolpaw, JR, Schalk, G
JournalJ Neural Eng
Volume6
Issue6
Pagination066001
Date Published12/2009
ISSN1741-2552
KeywordsAdolescent, Adult, Biomechanics, Brain, Electrodiagnosis, Epilepsy, Female, Fingers, Humans, Male, Microelectrodes, Middle Aged, Motor Activity, Rest, Thumb, Time Factors, Young Adult
Abstract Brain 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.
URLhttp://www.ncbi.nlm.nih.gov/pubmed/19794237
DOI10.1088/1741-2560/6/6/066001
Alternate JournalJ Neural Eng
PubMed ID19794237
© 2018
If you are a registered member of the lab, you may log in here.