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Title: Apparatus and method for epileptic seizure detection using non-linear techniques

Abstract

Methods and apparatus are disclosed for automatically detecting epileptic seizures by monitoring and analyzing 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; obtaining time serial trends in the nonlinear measures; determining that one or more trends in the nonlinear measures indicate a seizure, and providing notification of seizure occurrence. 76 figs.

Inventors:
; ; ;
Issue Date:
Research Org.:
Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
Sponsoring Org.:
USDOE, Washington, DC (United States)
OSTI Identifier:
644373
Patent Number(s):
5743860
Application Number:
PAN: 8-619,024
Assignee:
Lockheed Martin Energy Systems, Inc., Oak Ridge, TN (United States)
DOE Contract Number:  
AC05-84OR21400
Resource Type:
Patent
Resource Relation:
Other Information: PBD: 28 Apr 1998
Country of Publication:
United States
Language:
English
Subject:
55 BIOLOGY AND MEDICINE, BASIC STUDIES; EPILEPSY; DIAGNOSTIC TECHNIQUES; BRAIN; TIME-SERIES ANALYSIS; DIAGNOSIS; MEASURING INSTRUMENTS

Citation Formats

Hively, L M, Clapp, N E, Daw, C S, and Lawkins, W F. Apparatus and method for epileptic seizure detection using non-linear techniques. United States: N. p., 1998. Web.
Hively, L M, Clapp, N E, Daw, C S, & Lawkins, W F. Apparatus and method for epileptic seizure detection using non-linear techniques. United States.
Hively, L M, Clapp, N E, Daw, C S, and Lawkins, W F. Tue . "Apparatus and method for epileptic seizure detection using non-linear techniques". United States.
@article{osti_644373,
title = {Apparatus and method for epileptic seizure detection using non-linear techniques},
author = {Hively, L M and Clapp, N E and Daw, C S and Lawkins, W F},
abstractNote = {Methods and apparatus are disclosed for automatically detecting epileptic seizures by monitoring and analyzing 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; obtaining time serial trends in the nonlinear measures; determining that one or more trends in the nonlinear measures indicate a seizure, and providing notification of seizure occurrence. 76 figs.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {1998},
month = {4}
}