Title :
Electrocorticography-based brain computer Interface-the seattle experience
Author :
Leuthardt, Eric C. ; Miller, Kai J. ; Schalk, Gerwin ; Rao, Rajesh P N ; Ojemann, Jeffrey G.
Author_Institution :
Dept. of Neurological Surg., Univ. of Washington, Seattle, WA, USA
fDate :
6/1/2006 12:00:00 AM
Abstract :
Electrocorticography (ECoG) has been demonstrated to be an effective modality as a platform for brain-computer interfaces (BCIs). Through our experience with ten subjects, we further demonstrate evidence to support the power and flexibility of this signal for BCI usage. In a subset of four patients, closed-loop BCI experiments were attempted with the patient receiving online feedback that consisted of one-dimensional cursor movement controlled by ECoG features that had shown correlation with various real and imagined motor and speech tasks. All four achieved control, with final target accuracies between 73%-100%. We assess the methods for achieving control and the manner in which enhancing online control can be accomplished by rescreening during online tasks. Additionally, we assess the relevant issues of the current experimental paradigm in light of their clinical constraints.
Keywords :
bioelectric phenomena; biomechanics; brain; handicapped aids; medical computing; medical control systems; prosthetics; ECoG; electrocorticography-based brain computer interface; motor tasks; neuroprosthetics; one-dimensional cursor movement; online control; online feedback; speech tasks; Brain computer interfaces; Computer interfaces; Electrodes; Electroencephalography; Electromyography; Epilepsy; Spatial resolution; Speech; Stability; Systems engineering and theory; Brain–computer interface (BCI); brain–machine interface (BMI); neuroprosthetics; Cerebral Cortex; Electroencephalography; Epilepsy; Evoked Potentials; Humans; Therapy, Computer-Assisted; User-Computer Interface; Washington;
Journal_Title :
Neural Systems and Rehabilitation Engineering, IEEE Transactions on
DOI :
10.1109/TNSRE.2006.875536
