Determination of neural state classification metrics from the power spectrum of human ECoG

Matthew Kelsey, David Politte, Ryan Verner, John M. Zempel, Tracy Nolan, Abbas Babajani-Feremi, Fred Prior, Linda J. Larson-Prior

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Scopus citations

Abstract

Brain electrical activity exhibits scale-free dynamics that follow power law scaling. Previous works have shown that broadband spectral power exhibits state-dependent scaling with a log frequency exponent that systematically varies with neural state. However, the frequency ranges which best characterize biological state are not consistent across brain location or subject. An adaptive piecewise linear fitting solution was developed to extract features for classification of brain state. Performance was evaluated by comparison to an a posteriori based feature search method. This analysis, using the 1/ characteristics of the human ECoG signal, demonstrates utility in advancing the ability to perform automated brain state discrimination.

Original languageEnglish
Title of host publication2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2012
Pages4336-4340
Number of pages5
DOIs
StatePublished - Dec 14 2012
Event34th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2012 - San Diego, CA, United States
Duration: Aug 28 2012Sep 1 2012

Publication series

NameProceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
ISSN (Print)1557-170X

Conference

Conference34th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2012
CountryUnited States
CitySan Diego, CA
Period08/28/1209/1/12

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    Kelsey, M., Politte, D., Verner, R., Zempel, J. M., Nolan, T., Babajani-Feremi, A., Prior, F., & Larson-Prior, L. J. (2012). Determination of neural state classification metrics from the power spectrum of human ECoG. In 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2012 (pp. 4336-4340). [6346926] (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS). https://doi.org/10.1109/EMBC.2012.6346926