
Quantitative determination of abrupt changes in dynamical systems: Illustration via identification of seizure termination in generalized tonic-clonic seizure EEG data
We discuss key theoretical and practical issues related to the identification of transitions in dynamical systems in real-time. We focus on the choice of candidate measures and optimization of decision thresholds for candidate measures. To illustrate these issues we develop and test a procedure for identifying one particular transition, the end-point of seizures in two-channel electroencephalographic data recorded during generalized tonic-clonic seizures. Data from twenty-eight seizures were available and used to develop and test the procedure in terms of the agreement between the computationally identified seizure end-point compared against the ratings of an expert clinical electroencephalographer. Generalizations to multivariate seizure onset detection and to seizure prediction are described.
Duke Scholars
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Related Subject Headings
- Fluids & Plasmas
- 4903 Numerical and computational mathematics
- 4901 Applied mathematics
- 0913 Mechanical Engineering
- 0103 Numerical and Computational Mathematics
- 0102 Applied Mathematics
Citation

Published In
DOI
ISSN
Publication Date
Volume
Issue
Start / End Page
Related Subject Headings
- Fluids & Plasmas
- 4903 Numerical and computational mathematics
- 4901 Applied mathematics
- 0913 Mechanical Engineering
- 0103 Numerical and Computational Mathematics
- 0102 Applied Mathematics