Methods for consistent forewarning of critical events across multiple data channels
Abstract
This invention teaches further method improvements to forewarn of critical events via phase-space dissimilarity analysis of data from biomedical equipment, mechanical devices, and other physical processes. One improvement involves conversion of time-serial data into equiprobable symbols. A second improvement is a method to maximize the channel-consistent total-true rate of forewarning from a plurality of data channels over multiple data sets from the same patient or process. This total-true rate requires resolution of the forewarning indications into true positives, true negatives, false positives and false negatives. A third improvement is the use of various objective functions, as derived from the phase-space dissimilarity measures, to give the best forewarning indication. A fourth improvement uses various search strategies over the phase-space analysis parameters to maximize said objective functions. A fifth improvement shows the usefulness of the method for various biomedical and machine applications.
- Inventors:
- Issue Date:
- Research Org.:
- Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
- Sponsoring Org.:
- USDOE
- OSTI Identifier:
- 1176003
- Patent Number(s):
- 7139677
- Application Number:
- 10/195,626
- Assignee:
- UT-Battelle, LLC (Oak Ridge, TN)
- Patent Classifications (CPCs):
-
A - HUMAN NECESSITIES A61 - MEDICAL OR VETERINARY SCIENCE A61B - DIAGNOSIS
G - PHYSICS G16 - INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS G16H - HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- DOE Contract Number:
- AC05-00OR22725
- Resource Type:
- Patent
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 97 MATHEMATICS AND COMPUTING
Citation Formats
Hively, Lee M. Methods for consistent forewarning of critical events across multiple data channels. United States: N. p., 2006.
Web.
Hively, Lee M. Methods for consistent forewarning of critical events across multiple data channels. United States.
Hively, Lee M. Tue .
"Methods for consistent forewarning of critical events across multiple data channels". United States. https://www.osti.gov/servlets/purl/1176003.
@article{osti_1176003,
title = {Methods for consistent forewarning of critical events across multiple data channels},
author = {Hively, Lee M.},
abstractNote = {This invention teaches further method improvements to forewarn of critical events via phase-space dissimilarity analysis of data from biomedical equipment, mechanical devices, and other physical processes. One improvement involves conversion of time-serial data into equiprobable symbols. A second improvement is a method to maximize the channel-consistent total-true rate of forewarning from a plurality of data channels over multiple data sets from the same patient or process. This total-true rate requires resolution of the forewarning indications into true positives, true negatives, false positives and false negatives. A third improvement is the use of various objective functions, as derived from the phase-space dissimilarity measures, to give the best forewarning indication. A fourth improvement uses various search strategies over the phase-space analysis parameters to maximize said objective functions. A fifth improvement shows the usefulness of the method for various biomedical and machine applications.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2006},
month = {11}
}
Works referenced in this record:
The analysis of observed chaotic data in physical systems
journal, October 1993
- Abarbanel, Henry D. I.; Brown, Reggie; Sidorowich, John J.
- Reviews of Modern Physics, Vol. 65, Issue 4
Anticipation of epileptic seizures from standard EEG recordings
journal, January 2001
- Le Van Quyen, Michel; Martinerie, Jacques; Navarro, Vincent
- The Lancet, Vol. 357, Issue 9251
Detecting dynamical change in nonlinear time series
journal, July 1999
- Hively, L. M.; Gailey, P. C.; Protopopescu, V. A.
- Physics Letters A, Vol. 258, Issue 2-3
Measuring the distance between time series
journal, April 1997
- Moeckel, Richard; Murray, Brad
- Physica D: Nonlinear Phenomena, Vol. 102, Issue 3-4