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Methods for consistent forewarning of critical events across multiple data channels

Patent ·
OSTI ID:1176003
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.
Research Organization:
Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
Sponsoring Organization:
USDOE
DOE Contract Number:
AC05-00OR22725
Assignee:
UT-Battelle, LLC (Oak Ridge, TN)
Patent Number(s):
7,139,677
Application Number:
10/195,626
OSTI ID:
1176003
Country of Publication:
United States
Language:
English

References (4)

The analysis of observed chaotic data in physical systems journal October 1993
Measuring the distance between time series journal April 1997
Detecting dynamical change in nonlinear time series journal July 1999
Anticipation of epileptic seizures from standard EEG recordings journal January 2001

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