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 Laboratory (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}
}
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