Observations on the application of the correlation dimension and correlation integral to the prediction of seizures

Journal of Clinical Neurophysiology

Volumn 18, Issue 3, 2001, Pages 269-274

  Osorio, Ivan ^a,b   Harrison, Mary Ann F ^a   Lai, Ying Cheng ^c   Frei, Mark G ^a  

^a Flint Hills Scientific LLC   (United States)

^b UNIVERSITY OF KANSAS SCHOOL OF MEDICINE   (United States)

^c ARIZONA STATE UNIVERSITY   (United States)

Author keywords

Amplitude; Correlation dimension; Dependencies; Frequency; Seizure

Indexed keywords

AMPLITUDE MODULATION; ARTICLE; DYNAMICS; ELECTROENCEPHALOGRAM; SEIZURE; SIGNAL PROCESSING;

EID: 0034834522     PISSN: 07360258     EISSN: None     Source Type: Journal    
DOI: 10.1097/00004691-200105000-00006     Document Type: Article

References (20)

1. Detection of epileptic events in ECoG using wavelet analysis
2. Seizure prediction by nonlinear time series analysis of brain electrical activity
3. Measuring the strangeness of strange attractors
4. Automatic recognition and quantification of interictal epileptic activity in human scalp EEG
5. Chaos in electrophysiology
6. The evolution with time of the spatial distribution of the largest Lyapunov exponent on the human epileptic cortex
7. Automated seizure prediction paradigm
8. Phase space topography and the Lyapunov exponent of electrocorticograms in partial seizures
9. Can epileptic seizures be predicted? Evidence from nonlinear time series analysis of brain electrical activity
10. Monitoring changing dynamics with correlation integrals: Case study of an epileptic seizure
11. Epileptic seizures can be anticipated by non-linear analysis
12. Real-time automated detection and quantitative analysis of seizures and short-term prediction of clinical onset
13. Construction and visualization of ECoG state space portraits
14. Fast wavelet transform of the ECoG
15. Controlling chaos in the brain
16. Wavelet transform and surrogate data for electroencephalographic spike and seizure localization
17. Chaos, prediction, and Laplacian determinism
18. Spurious dimension from correlation algorithms applied to limited time-series data