DOE Patents title logo U.S. Department of Energy
Office of Scientific and Technical Information

Title: Epileptic seizure prediction by non-linear methods

Abstract

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.

Inventors:
 [1];  [1];  [1];  [1]
  1. Knoxville, TN
Issue Date:
Research Org.:
Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
OSTI Identifier:
872089
Patent Number(s):
5857978
Assignee:
Lockheed Martin Energy Systems, Inc. (Oak Ridge, TN)
Patent Classifications (CPCs):
A - HUMAN NECESSITIES A61 - MEDICAL OR VETERINARY SCIENCE A61B - DIAGNOSIS
DOE Contract Number:  
AC05-84OR21400
Resource Type:
Patent
Country of Publication:
United States
Language:
English
Subject:
epileptic; seizure; prediction; non-linear; methods; apparatus; automatically; predicting; seizures; monitor; analyze; brain; wave; eeg; meg; signals; steps; acquiring; data; patient; digitizing; obtaining; nonlinear; measures; via; chaotic; time; series; analysis; tools; serial; trends; comparison; trend; predictors; providing; notification; forthcoming; nonlinear measures; brain wave; time series; providing notification; serial trends; time serial; via chaotic; obtaining time; obtaining nonlinear; series analysis; chaotic time; data via; wave data; epileptic seizures; epileptic seizure; /600/

Citation Formats

Hively, Lee M, Clapp, Ned E, Daw, C Stuart, and Lawkins, William F. Epileptic seizure prediction by non-linear methods. United States: N. p., 1999. Web.
Hively, Lee M, Clapp, Ned E, Daw, C Stuart, & Lawkins, William F. Epileptic seizure prediction by non-linear methods. United States.
Hively, Lee M, Clapp, Ned E, Daw, C Stuart, and Lawkins, William F. Fri . "Epileptic seizure prediction by non-linear methods". United States. https://www.osti.gov/servlets/purl/872089.
@article{osti_872089,
title = {Epileptic seizure prediction by non-linear methods},
author = {Hively, Lee M and Clapp, Ned E and Daw, C Stuart and Lawkins, William F},
abstractNote = {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.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Fri Jan 01 00:00:00 EST 1999},
month = {Fri Jan 01 00:00:00 EST 1999}
}

Works referenced in this record:

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


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


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