Attempts to predict epileptic seizures
- People
- Places
- Organizations
- Papers
- M.E. Weinand et al., "Cerebral
blood flow and temporal lobe epileptogenicity", Neurosurgical Focus
Volume 1, Number 5 (November 1996)
- B. Litt et al., "Epileptic
Seizures May Begin Hours in Advance of Clinical Onset", Neuron
Volume 30 (April 2001), 51 -- 64.
- L.D. Iasemidis, P. Pardalos, J.C. Sackellares & D.S. Shiau,
"Quadratic binary programming and dynamical system approach to determine the predictability of epileptic seizures",
J. Combinatorial Optimization, 5:9-26, 2001.
- Maryann D'Alessandro et al., Epileptic
Seizure Prediction Using Hybrid Feature
Selection Over Multiple Intracranial EEG Electrode
Contacts: A Report of Four Patients, IEEE Transactions on
Biomedical Engineering 50 (5), May 2003, 603 -- 615.
- P. Pardalos et al., Seizure warning
algorithm based on optimization and nonlinear dynamics,
Math. Program., Ser. B 101 (2004), 365 -- 385.
- Quantitative
Neuroscience: Models, Algorithms, Diagnostics, and Therapeutic
Applications (edited by P.M. Pardalos, J. Chris Sackellares, Paul
R. Carney, and Leon D. Iasemidis), Kluwer Academic Publishers, 2004.
- Clinical Neurophysiology Volume 116, Issue 3, Pages 489-741 (March 2005)
- C.J. Stam, Nonlinear
dynamical analysis of EEG and MEG:
Review of an emerging field, Clinical Neurophysiology 116 (2005),
2266 -- 2301.
- Colleen B. Litof,
Frontiers
in Imaging Markers for Epileptogenesis, Psychiatric Times Vol. 3
No. 11, November 1, 2007.
- Ariane Schad et al., Application
of a multivariate seizure detection and prediction method
to non-invasive and intracranial long-term EEG recordings,
Clinical Neurophysiology 119 (2008), 197 -- 211.
- T. Zhu et al.,
Predicting
Epileptic Seizure by Recurrence Quantification Analysis of
Single-Channel EEG, in: Advanced Intelligent Computing Theories
and Application, LNCS 5226, pp. 438 -- 445, Springer, 2008.
- W.A. Chaovalitwongse, Optimization
and Data Mining in Epilepsy Research: A Review and Prospective,
in: Handbook of Optimization in Medicine, pp. 324 -- 356, Springer,
2009.
- S.C. Ponten et al.,
Indications
for network regularization during absence seizures: Weighted and
unweighted graph theoretical analyses, Experimental Neurology
217 (1), May 2009, 197 -- 204.
- Books
- William O. Tatum, Aatif M. Husain, Selim R. Benbadis, Peter
W. Kaplan, Handbook
of EEG Interpretation, New York : Demos Medical Pub., 2008.
- Jaakko Malmivuo and Robert Plonsey,
Bioelectromagnetism - Principles
and Applications of Bioelectric and Biomagnetic Fields, Oxford
University Press, New York, 1995
- Tutorials
- Lectures
- Lyapunov exponents
-
Notes
on the maximal Lyapunov exponent of a time series
- Papers
- N.H. Packard, J.P. Crutchfield, J.D. Farmer, and R.S. Shaw, Geometry
from a time series, Physical Review Letters, Volume 45, Issue 9,
September 1, 1980, pp.712--716.
- Wolf, Alan; Swift, Jack B.; Swinney, Harry L.; Vastano, John A.:
"Determining Lyapunov exponents from a time series",
Physica D: Nonlinear Phenomena, Volume 16, Issue 3 (July 1985),
pp. 285--317.
-
M.T. Rosenstein, J.J. Collins, and C.J. De Luca, A
practical method for calculating largest Lyapunov
exponents from small data sets, Physica D 65 (1993), 117--134.
- H.F. von Bremen, F.E. Udwadia, and W. Proskurowski,
An
efficient QR based method for the computation of
Lyapunov exponents, Physica D 101 (1997), 1--16.
- G. Tancredi, A. Sánchez, and F. Roig, A
comparison between methods to compute Lyapunov exponents, The
Astronomical Journal 121 (2001), 1171--1179.
- J.P. Huke, Embedding Nonlinear Dynamical Systems, A Guide to Takens Theoremm
- Books
- D. Ruelle, Chaotic
evolution and strange attractors, Cambridge University Press, 1989.
- N.B. Tufillaro, J. Reilly, and T. Abbott,
An
experimental approach to nonlinear dynamics and chaos, Addison-Wesley, 1992.
- P.G. Drazin, Nonlinear
systems, Cambridge University Press, 1992.
- J.C. Sprott, Chaos
and time-series analysis, Oxford University Press, 2003.
- P. Cvitanovi\'c, R. Artuso, R. Mainieri, G. Tanner and G. Vattay,
Chaos: Classical and Quantum
(Niels Bohr Institute, Copenhagen 2009).
- Dynamical systems
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