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Title: Epileptic seizure prediction by non-linear methods

Patent ·
OSTI ID:872089
 [1];  [1];  [1];  [1]
  1. Knoxville, TN
+ Show Author Affiliations

Methods and apparatus for automatically predicting epileptic seizures monitor and analyze brain wave (EEG or MEG) signals. Steps include: acquiring the brain wave data from the patient; digitizing the data; obtaining nonlinear measures of the data via chaotic time series analysis tools; obtaining time serial trends in the nonlinear measures; comparison of the trend to known seizure predictors; and providing notification that a seizure is forthcoming.

Research Organization:
Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
DOE Contract Number:
AC05-84OR21400
Assignee:
Lockheed Martin Energy Systems, Inc. (Oak Ridge, TN)
Patent Number(s):
US 5857978
OSTI ID:
872089
Country of Publication:
United States
Language:
English

References (13)

G. A. Korn, and T. M. Korn, Mathematical Handbook for Scientists and Engineers. XVII + 1130 S. m. Fig. u. Tab. New York/San Francisco/Toronto/London/Sydney 1968. McGraw-Hill Book Company. Preis geb. $ 25.00 journal January 1969
Preserving chaos: Control strategies to preserve complex dynamics with potential relevance to biological disorders journal January 1995
Estimation of the dimension of a noisy attractor journal September 1994
Do chaos-control techniques offer hope for epilepsy? journal August 1994
Maximum-likelihood estimation of the entropy of an attractor journal January 1994
On the evidence for low-dimensional chaos in an epileptic electroencephalogram journal January 1995
Independent coordinates for strange attractors from mutual information journal February 1986
Phase Space Analysis of Human EEG during General Anesthesia journal July 1987
Chaos and physiology: deterministic chaos in excitable cell assemblies journal January 1994
On the numerical determination of the dimension of an attractor book January 1985
Low-dimensional chaos in an instance of epilepsy. journal May 1986
Controlling chaos in the brain journal August 1994
Time-frequency analysis of electroencephalogram series journal March 1995

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monitor
analyze
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eeg
meg
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digitizing
obtaining
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chaotic
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obtaining time
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