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Decoding Hand Trajectories from Micro-Electrocorticography in Human Patients

Kellis, Spencer and Hanrahan, Sara J. and Davis, Tyler S. and House, Paul A. and Brown, Richard and Greger, Bradley (2012) Decoding Hand Trajectories from Micro-Electrocorticography in Human Patients. In: 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society Conference Proceedings. IEEE , New York, NY, pp. 4091-4094. ISBN 978-1-4244-4119-8. https://resolver.caltech.edu/CaltechAUTHORS:20130225-090236885

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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.


Item Type:Book Section
Related URLs:
URLURL TypeDescription
http://dx.doi.org/ 10.1109/EMBC.2012.6346866DOIUNSPECIFIED
http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6346866PublisherUNSPECIFIED
ORCID:
AuthorORCID
Kellis, Spencer0000-0002-5158-1058
Additional Information:© 2012 IEEE. Date of Conference: Aug. 28 2012-Sept. 1 2012. Date of Current Version: 10 November 2012. Issue Date: Aug. 28 2012-Sept. 1 2012. This work was supported in part by the Engineering Research Center Program of the National Science Foundation under award number EEC-9986866), and by DARPA BAA05-26 Revolutionizing Prosthetics.
Funders:
Funding AgencyGrant Number
NSF Engineering Research Center ProgramEEC-9986866
Defense Advanced Research Projects Agency (DARPA)BAA05-26
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INSPEC Accession Number13118822
Series Name:IEEE Engineering in Medicine and Biology Society Conference Proceedings
Record Number:CaltechAUTHORS:20130225-090236885
Persistent URL:https://resolver.caltech.edu/CaltechAUTHORS:20130225-090236885
Official Citation:Kellis, S.; Hanrahan, S.; Davis, T.; House, P.A.; Brown, R.; Greger, B.; "Decoding hand trajectories from micro-electrocorticography in human patients," Engineering in Medicine and Biology Society (EMBC), 2012 Annual International Conference of the IEEE , vol., no., pp.4091-4094, Aug. 28 2012-Sept. 1 2012 doi: 10.1109/EMBC.2012.6346866 http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6346866&isnumber=6345844
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:37104
Collection:CaltechAUTHORS
Deposited By: Ruth Sustaita
Deposited On:25 Feb 2013 17:37
Last Modified:09 Mar 2020 13:18

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