DocumentCode :
2100395
Title :
Decoding hand trajectories from micro-electrocorticography in human patients
Author :
Kellis, Spencer ; Hanrahan, S. ; Davis, Tyler ; House, P.A. ; Brown, Rebecca ; Greger, B.
Author_Institution :
Div. of Biol., California Inst. of Biol., Pasadena, CA, USA
fYear :
2012
fDate :
Aug. 28 2012-Sept. 1 2012
Firstpage :
4091
Lastpage :
4094
Abstract :
A Kalman filter was used to decode hand trajectories from micro-electrocorticography recorded over motor cortex in human patients. In two cases, signals were recorded during stereotyped tasks, and the trajectories were decoded offline, with maximum correlation coefficients between actual and predicted trajectories of 0.51 (x-direction position) and 0.54 (y-direction position). In a third setting, a human patient with full neural control of a computer cursor acquired onscreen targets within 6.24 sec on average, with no algorithmic constraints on the output trajectory. These practical results illustrate the potential utility of signals recorded at the cortical surface with high spatial resolution, demonstrating that surface potentials contain relevant and sufficient information to drive sophisticated brain-computer interface systems.
Keywords :
Kalman filters; bioelectric potentials; brain-computer interfaces; decoding; medical signal processing; neurophysiology; signal resolution; surface potential; Kalman filter; computer cursor acquired onscreen targets; correlation coefficients; cortical surface; hand trajectory decoding; human patients; microelectrocorticography; motor cortex; neural control; signal recording; sophisticated brain-computer interface systems; spatial resolution; stereotyped tasks; surface potentials; Correlation; Decoding; Kalman filters; Kinematics; Testing; Training; Trajectory; Algorithms; Brain Mapping; Brain-Computer Interfaces; Electroencephalography; Epilepsy; Evoked Potentials, Motor; Hand; Humans; Male; Motor Cortex; Movement; Young Adult;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society (EMBC), 2012 Annual International Conference of the IEEE
Conference_Location :
San Diego, CA
ISSN :
1557-170X
Print_ISBN :
978-1-4244-4119-8
Electronic_ISBN :
1557-170X
Type :
conf
DOI :
10.1109/EMBC.2012.6346866
Filename :
6346866
Link To Document :
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