Abstract
Phase-space dissimilarity measures (PSDM) have been recently proposed to provide forewarning of impending epileptic events from scalp electroencephalographic (EEG) for eventual ambulatory settings. Despite high noise in scalp EEG, PSDM yield consistently superior performance over traditional nonlinear indicators, such as Kolmogorov entropy, Lyapunov exponents, and correlation dimension. However, blind application of PSDM may result in channel inconsistency, whereby multiple datasets from the same patient yield conflicting forewarning indications in the same channel. This paper presents a first attempt to solve this problem.
Original language | English |
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Pages (from-to) | 584-593 |
Number of pages | 10 |
Journal | IEEE Transactions on Biomedical Engineering |
Volume | 50 |
Issue number | 5 |
DOIs | |
State | Published - May 2003 |
Funding
Manuscript received March 27, 2002; revised November 8, 2002. This work was supported in part by Nicolet Biomedical Inc., Madison, WI (now ViaSys Healthcare Inc.) under a cooperative research and development agreement with the Oak Ridge National Laboratory (ORNL). This work was also supported in part by the U.S. Department of Energy, Office of Energy Management; by the U.S. Department of Energy, Office of Basic Energy Sciences; and by the U.S. Department of Energy, Office of Science, Laboratory Technology Research Program. ORNL is managed for the United States Department of Energy by UT-Battelle, LLC, under Contract DE-AC05-00OR22725. Asterisk indicates corresponding author. *L. M. Hively is with the Oak Ridge National Laboratory, P.O. Box 2008, Bldg. 6011, MS-6415, Oak Ridge, TN 37831 USA (e-mail: [email protected]).
Funders | Funder number |
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Nicolet Biomedical Inc. | |
Office of Basic Energy Sciences | |
Office of Energy Management | |
United States Department of Energy | DE-AC05-00OR22725 |
ViaSys Healthcare Inc. | |
U.S. Department of Energy | |
Office of Science | |
Oak Ridge National Laboratory |
Keywords
- Dynamical systems
- epileptic seizure forewarning
- nonlinear analysis
- phase-space dissimilarity measures