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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
Publication Date:
Research Org.:
Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
OSTI Identifier:
872089
Patent Number(s):
US 5857978
Assignee:
Lockheed Martin Energy Systems, Inc. (Oak Ridge, TN)
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. 1999. "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 = {},
url = {https://www.osti.gov/biblio/872089}, journal = {},
number = ,
volume = ,
place = {United States},
year = {1999},
month = {1}
}

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