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Title:
METHODS FOR CONSISTENT FOREWARNING OF CRITICAL EVENTS ACROSS MULTIPLE DATA CHANNELS
Document Type and Number:
WIPO Patent Application WO2004008373
Kind Code:
A3
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 (TP), true negatives (TN), false positives (FP) and false negatives (FN) relative to a forewarning window 20. 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 phase­space analysis parameters to maximize said objective functions. A fifth improvement shows the usefulness of the method for various biomedical and machine applications.

Inventors:
HIVELY LEE M
Application Number:
PCT/US2003/020700
Publication Date:
December 09, 2004
Filing Date:
July 01, 2003
Export Citation:
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Assignee:
UT BATTELLE LLC (US)
International Classes:
A61B5/00; A61B5/0476; G01M99/00; G06F17/18; G06F19/00; G06K9/00; (IPC1-7): G06F19/00
Domestic Patent References:
WO2001067288A22001-09-13
Foreign References:
US5815413A1998-09-29
Other References:
HIVELY L M ET AL: "DETECTING DYNAMICAL CHANGE IN NONLINEAR TIME SERIES", PHYSICS LETTERS A, NORTH-HOLLAND PUBLISHING CO., AMSTERDAM, NL, vol. 258, 1999, pages 103 - 114, XP001051088, ISSN: 0375-9601
MOECKEL R ET AL: "Measuring the distance between time series", PHYSICA D ELSEVIER NETHERLANDS, vol. 102, no. 3-4, 1997, pages 187 - 194, XP002299927, ISSN: 0167-2789
ABARBANEL H D I: "THE ANALYSIS OF OBSERVED CHAOTIC DATA IN PHYSICAL SYSTEMS", REVIEWS OF MODERN PHYSICS, AMERICAN PHYSICAL SOCIETY, US, vol. 65, no. 4, October 1993 (1993-10-01), pages 1331 - 1392, XP000937897, ISSN: 0034-6861
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