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Title: 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 Lab. (ORNL), Oak Ridge, TN (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1176003
Patent Number(s):
7,139,677
Application Number:
10/195,626
Assignee:
UT-Battelle, LLC (Oak Ridge, TN) ORNL
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}
}

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