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Classification of spoken words using surface local field potentials

Kellis, Spencer and Miller, Kai and Thomson, Kyle and Brown, Richard and House, Paul and Greger, Bradley (2010) Classification of spoken words using surface local field potentials. In: 32nd Annual International Conference of the IEEE EMBS. IEEE , Piscataway, NJ, pp. 3827-3830. ISBN 9781424441235.

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Cortical surface potentials recorded by electrocorticography (ECoG) have enabled robust motor classification algorithms in large part because of the close proximity of the electrodes to the cortical surface. However, standard clinical ECoG electrodes are large in both diameter and spacing relative to the underlying cortical column architecture in which groups of neurons process similar types of stimuli. The potential for surface micro-electrodes closely spaced together to provide even higher fidelity in recording surface field potentials has been a topic of recent interest in the neural prosthetic community. This study describes the classification of spoken words from surface local field potentials (LFPs) recorded using grids of subdural, nonpenetrating high impedance micro-electrodes. Data recorded from these micro-ECoG electrodes supported accurate and rapid classification. Furthermore, electrodes spaced millimeters apart demonstrated varying classification characteristics, suggesting that cortical surface LFPs may be recorded with high temporal and spatial resolution to enable even more robust algorithms for motor classification.

Item Type:Book Section
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URLURL TypeDescription
Kellis, Spencer0000-0002-5158-1058
Greger, Bradley0000-0002-6702-7596
Additional Information:© 2010 IEEE. Manuscript received April 22, 2010. This work was supported in part by a Utah Research Foundation grant, DARPA RP2009 funding, NIH R01EY019363 (B.G.), and the Engineering Research Centers Program of the National Science Foundation under Award Number EEC-9986866 (R.B.). The authors thank the EEG staff for assistance in conducting the study, and the patient who agreed to participate in the study.
Funding AgencyGrant Number
Utah Research FoundationUNSPECIFIED
Defense Advanced Research Projects Agency (DARPA)RP2009
Record Number:CaltechAUTHORS:20200825-072936247
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Official Citation:S. Kellis, K. Miller, K. Thomson, R. Brown, P. House and B. Greger, "Classification of spoken words using surface local field potentials," 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology, Buenos Aires, 2010, pp. 3827-3830, doi: 10.1109/IEMBS.2010.5627682
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:105092
Deposited By: Tony Diaz
Deposited On:25 Aug 2020 15:48
Last Modified:25 Aug 2020 15:48

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