AU7063300A - Method and apparatus for predicting the risk of hypoglycemia - Google Patents

Method and apparatus for predicting the risk of hypoglycemia

Info

Publication number
AU7063300A
AU7063300A AU70633/00A AU7063300A AU7063300A AU 7063300 A AU7063300 A AU 7063300A AU 70633/00 A AU70633/00 A AU 70633/00A AU 7063300 A AU7063300 A AU 7063300A AU 7063300 A AU7063300 A AU 7063300A
Authority
AU
Australia
Prior art keywords
hypoglycemia
predicting
risk
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Abandoned
Application number
AU70633/00A
Inventor
William L. Clarke
Boris Petrov Kovatchev
J. Randall Moorman
Martin Straume
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
UVA Licensing and Ventures Group
Original Assignee
University of Virginia UVA
University of Virginia Patent Foundation
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by University of Virginia UVA, University of Virginia Patent Foundation filed Critical University of Virginia UVA
Publication of AU7063300A publication Critical patent/AU7063300A/en
Abandoned legal-status Critical Current

Links

Classifications

    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
    • A61B5/7271—Specific aspects of physiological measurement analysis
    • A61B5/7275—Determining trends in physiological measurement data; Predicting development of a medical condition based on physiological measurements, e.g. determining a risk factor
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/145—Measuring characteristics of blood in vivo, e.g. gas concentration, pH value; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid, cerebral tissue
    • A61B5/14532—Measuring characteristics of blood in vivo, e.g. gas concentration, pH value; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid, cerebral tissue for measuring glucose, e.g. by tissue impedance measurement
    • 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
    • G16H10/00—ICT specially adapted for the handling or processing of patient-related medical or healthcare data
    • G16H10/40—ICT specially adapted for the handling or processing of patient-related medical or healthcare data for data related to laboratory analysis, e.g. patient specimen analysis
    • 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
    • G16H10/00—ICT specially adapted for the handling or processing of patient-related medical or healthcare data
    • G16H10/60—ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records
    • 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
    • G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
    • G16H50/50—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for simulation or modelling of medical disorders
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/40—Detecting, measuring or recording for evaluating the nervous system
    • A61B5/4029—Detecting, measuring or recording for evaluating the nervous system for evaluating the peripheral nervous systems
    • A61B5/4035—Evaluating the autonomic nervous system
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
    • A61B5/7235—Details of waveform analysis
    • A61B5/7264—Classification of physiological signals or data, e.g. using neural networks, statistical classifiers, expert systems or fuzzy systems

Landscapes

  • Health & Medical Sciences (AREA)
  • Engineering & Computer Science (AREA)
  • Public Health (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Medical Informatics (AREA)
  • General Health & Medical Sciences (AREA)
  • Biomedical Technology (AREA)
  • Primary Health Care (AREA)
  • Epidemiology (AREA)
  • Physics & Mathematics (AREA)
  • Pathology (AREA)
  • Molecular Biology (AREA)
  • Veterinary Medicine (AREA)
  • Biophysics (AREA)
  • Heart & Thoracic Surgery (AREA)
  • Surgery (AREA)
  • Animal Behavior & Ethology (AREA)
  • Data Mining & Analysis (AREA)
  • Physiology (AREA)
  • Psychiatry (AREA)
  • Signal Processing (AREA)
  • Databases & Information Systems (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Artificial Intelligence (AREA)
  • Emergency Medicine (AREA)
  • Optics & Photonics (AREA)
  • Infusion, Injection, And Reservoir Apparatuses (AREA)
  • External Artificial Organs (AREA)
AU70633/00A 1999-08-23 2000-08-21 Method and apparatus for predicting the risk of hypoglycemia Abandoned AU7063300A (en)

Applications Claiming Priority (3)

Application Number Priority Date Filing Date Title
US15024399P 1999-08-23 1999-08-23
US60150243 1999-08-23
PCT/US2000/022886 WO2001013786A1 (en) 1999-08-23 2000-08-21 Method and apparatus for predicting the risk of hypoglycemia

Publications (1)

Publication Number Publication Date
AU7063300A true AU7063300A (en) 2001-03-19

Family

ID=22533667

Family Applications (1)

Application Number Title Priority Date Filing Date
AU70633/00A Abandoned AU7063300A (en) 1999-08-23 2000-08-21 Method and apparatus for predicting the risk of hypoglycemia

Country Status (3)

Country Link
AU (1) AU7063300A (en)
CA (1) CA2382228A1 (en)
WO (1) WO2001013786A1 (en)

Families Citing this family (19)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US8538703B2 (en) * 2002-08-13 2013-09-17 University Of Virginia Patent Foundation Method, system, and computer program product for the processing of self-monitoring blood glucose(SMBG)data to enhance diabetic self-management
US20090177068A1 (en) * 2002-10-09 2009-07-09 Stivoric John M Method and apparatus for providing derived glucose information utilizing physiological and/or contextual parameters
US7266400B2 (en) 2003-05-06 2007-09-04 Orsense Ltd. Glucose level control method and system
DK1677668T3 (en) 2003-10-13 2010-10-25 Novo Nordisk As Apparatus and method for determining a physiological state
WO2005037092A1 (en) * 2003-10-13 2005-04-28 Novo Nordisk A/S Apparatus and method for determining a physiological condition
EP1711791B1 (en) 2003-12-09 2014-10-15 DexCom, Inc. Signal processing for continuous analyte sensor
KR20070112232A (en) * 2005-03-07 2007-11-22 각코호진 준텐도 Continuous subcutaneous insulin infusion therapy
FI121698B (en) 2005-07-19 2011-03-15 Ihq Innovation Headquarters Oy Health monitoring device and sensor cartridge for the health monitoring device
US7824333B2 (en) 2006-03-31 2010-11-02 Lifescan, Inc. Diabetes management methods and systems
US20080154513A1 (en) 2006-12-21 2008-06-26 University Of Virginia Patent Foundation Systems, Methods and Computer Program Codes for Recognition of Patterns of Hyperglycemia and Hypoglycemia, Increased Glucose Variability, and Ineffective Self-Monitoring in Diabetes
US8175812B2 (en) * 2008-06-25 2012-05-08 Roche Diagnostics Operations, Inc. Method, system, and computer program product for calculating daily weighted averages of glucose measurements (or derived quantities) with time-based weights
EP4227952A1 (en) 2009-05-29 2023-08-16 University Of Virginia Patent Foundation System coordinator and modular architecture for open-loop and closed-loop control of diabetes
US9398869B2 (en) 2010-03-26 2016-07-26 University Of Virginia Patent Foundation Method, system, and computer program product for improving the accuracy of glucose sensors using insulin delivery observation in diabetes
CA2846854C (en) 2011-08-26 2022-12-13 University Of Virginia Patent Foundation Method, system and computer readable medium for adaptive advisory control of diabetes
US10463282B2 (en) 2012-10-04 2019-11-05 Roche Diabetes Care, Inc. System and method for assessing risk associated with a glucose state
US9465917B2 (en) 2014-05-30 2016-10-11 Roche Diabetes Care, Inc. Hazard based assessment patterns
EP3179914A4 (en) 2014-08-14 2018-04-11 The University of Virginia Patent Foundation Improved accuracy continuous glucose monitoring method, system, and device
US11311665B2 (en) 2015-06-09 2022-04-26 University Of Virginia Patent Foundation Insulin monitoring and delivery system and method for CGM based fault detection and mitigation via metabolic state tracking
US10463789B2 (en) 2015-09-02 2019-11-05 University Of Virginia Patent Foundation System, method, and computer readable medium for dynamic insulin sensitivity in diabetic pump users

Family Cites Families (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5299119A (en) * 1989-07-06 1994-03-29 Qmed, Inc. Autonomic neuropathy detection and method of analysis
US5846189A (en) * 1989-09-08 1998-12-08 Pincus; Steven M. System for quantifying asynchrony between signals
US6035233A (en) * 1995-12-11 2000-03-07 Intermedics Inc. Implantable medical device responsive to heart rate variability analysis
IL124236A (en) * 1997-05-05 2003-01-12 Pfizer Pharmaceutical composition for treating or reversing diabetic cardiomyopathy comprising aldose reductase inhibitor

Also Published As

Publication number Publication date
WO2001013786A1 (en) 2001-03-01
CA2382228A1 (en) 2001-03-01

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Legal Events

Date Code Title Description
MK6 Application lapsed section 142(2)(f)/reg. 8.3(3) - pct applic. not entering national phase