IN2014MN01796A - - Google Patents

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Publication number
IN2014MN01796A
IN2014MN01796A IN1796MUN2014A IN2014MN01796A IN 2014MN01796 A IN2014MN01796 A IN 2014MN01796A IN 1796MUN2014 A IN1796MUN2014 A IN 1796MUN2014A IN 2014MN01796 A IN2014MN01796 A IN 2014MN01796A
Authority
IN
India
Prior art keywords
changes
glucose values
calculation
hatr
cbg
Prior art date
Application number
Inventor
Natalja Eikje
Original Assignee
Natalja Eikje
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 Natalja Eikje filed Critical Natalja Eikje
Publication of IN2014MN01796A publication Critical patent/IN2014MN01796A/en

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Classifications

    • 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 or pH-value ; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid or cerebral tissue
    • A61B5/14532—Measuring characteristics of blood in vivo, e.g. gas concentration or pH-value ; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid or cerebral tissue for measuring glucose, e.g. by tissue impedance measurement
    • 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 or pH-value ; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid or cerebral tissue
    • A61B5/1455—Measuring characteristics of blood in vivo, e.g. gas concentration or pH-value ; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid or cerebral tissue using optical sensors, e.g. spectral photometrical oximeters
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/48—Other medical applications
    • A61B5/4866—Evaluating metabolism
    • 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
    • A61B5/7253—Details of waveform analysis characterised by using transforms
    • A61B5/7257—Details of waveform analysis characterised by using transforms using Fourier transforms
    • 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
    • G16H50/20—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems
    • 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
    • G16H50/30—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indices; for individual health risk assessment
    • 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

Landscapes

  • Health & Medical Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Physics & Mathematics (AREA)
  • Engineering & Computer Science (AREA)
  • Medical Informatics (AREA)
  • Public Health (AREA)
  • Biomedical Technology (AREA)
  • General Health & Medical Sciences (AREA)
  • Pathology (AREA)
  • Veterinary Medicine (AREA)
  • Molecular Biology (AREA)
  • Surgery (AREA)
  • Animal Behavior & Ethology (AREA)
  • Biophysics (AREA)
  • Heart & Thoracic Surgery (AREA)
  • Optics & Photonics (AREA)
  • Databases & Information Systems (AREA)
  • Primary Health Care (AREA)
  • Epidemiology (AREA)
  • Data Mining & Analysis (AREA)
  • Emergency Medicine (AREA)
  • Spectroscopy & Molecular Physics (AREA)
  • Obesity (AREA)
  • Psychiatry (AREA)
  • Artificial Intelligence (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Physiology (AREA)
  • Mathematical Physics (AREA)
  • Signal Processing (AREA)
  • Measurement Of The Respiration, Hearing Ability, Form, And Blood Characteristics Of Living Organisms (AREA)
  • Investigating Or Analysing Biological Materials (AREA)
  • Medicines That Contain Protein Lipid Enzymes And Other Medicines (AREA)
  • Investigating Or Analysing Materials By Optical Means (AREA)
  • Medicines Containing Plant Substances (AREA)
  • Coloring Foods And Improving Nutritive Qualities (AREA)

Abstract

Provided is a formula and method for monitoring individual metabolic response that involve calculation of the lag/latency time (LT) for the peak levels of measured a variety of glucose values by HATR FTIR (horizontally attenuated total reflection Fourier transform infrared) spectroscopy and the LT for the peak level of capillary blood glucose (CBG) with subsequent calculation of the LT changes between them. Obtained meaningful time dependent and dose dependent glucose values and their LT changes characterize glycemic variability (GV) in a qualified subject that can be used to predict the patient s risk of hyperglycemia to stage Type II diabetes and in general to be considered as a new metrics of assessing the quality of metabolic control.
IN1796MUN2014 2012-02-21 2013-02-21 IN2014MN01796A (en)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
US201261596250P 2012-02-21 2012-02-21
PCT/EE2013/000002 WO2013135249A2 (en) 2012-02-21 2013-02-21 A formula and method for monitoring individual metabolic response and for generating predictive medical metrics

Publications (1)

Publication Number Publication Date
IN2014MN01796A true IN2014MN01796A (en) 2015-07-03

Family

ID=49161899

Family Applications (1)

Application Number Title Priority Date Filing Date
IN1796MUN2014 IN2014MN01796A (en) 2012-02-21 2013-02-21

Country Status (9)

Country Link
US (1) US10925521B2 (en)
EP (1) EP2816953A2 (en)
JP (2) JP2015510423A (en)
KR (1) KR102079408B1 (en)
CA (1) CA2902003C (en)
IN (1) IN2014MN01796A (en)
MY (1) MY199024A (en)
SG (1) SG11201404625YA (en)
WO (1) WO2013135249A2 (en)

Families Citing this family (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR102655736B1 (en) 2016-07-19 2024-04-05 삼성전자주식회사 Heterogeneous spectrum-based blood sugar estimation apparatus and method
KR102408951B1 (en) 2017-09-18 2022-06-13 삼성전자주식회사 Apparatus and method for estimating glucose exposure, Apparatus and method for generating glucose exposure estimation model
ES2774983B2 (en) 2019-01-22 2021-06-10 Univ Sevilla PORTABLE DEVICE AND METHOD FOR NON-INVASIVE ESTIMATION OF GLUCOSE LEVEL IN BLOOD

Family Cites Families (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP3093871B2 (en) * 1991-05-22 2000-10-03 三井金属鉱業株式会社 Optical blood glucose non-destructive measuring device
US6240306B1 (en) * 1995-08-09 2001-05-29 Rio Grande Medical Technologies, Inc. Method and apparatus for non-invasive blood analyte measurement with fluid compartment equilibration
JPH11244266A (en) * 1998-02-27 1999-09-14 Matsushita Electric Works Ltd Superficial organism tissue analytical method and superficial organism tissue analyzer
US7027848B2 (en) 2002-04-04 2006-04-11 Inlight Solutions, Inc. Apparatus and method for non-invasive spectroscopic measurement of analytes in tissue using a matched reference analyte
JP2005147896A (en) * 2003-11-17 2005-06-09 Kagawa Univ Concentration measuring method and concentration measuring apparatus for mixed solution components
JP2007117221A (en) 2005-10-25 2007-05-17 Hirato Koji Noninvasive blood test "optical complete medical checkup" using ftir
EP2460470A4 (en) * 2009-07-28 2015-04-22 Panasonic Healthcare Co Ltd DEVICE FOR ESTIMATING GLYCEMIC RATE
CN104145177B (en) * 2012-02-29 2016-07-06 国立大学法人香川大学 Dichroism measurement apparatus and dichroism measuring method

Also Published As

Publication number Publication date
WO2013135249A3 (en) 2014-03-06
CA2902003C (en) 2024-04-30
KR102079408B1 (en) 2020-04-08
WO2013135249A2 (en) 2013-09-19
JP2019122775A (en) 2019-07-25
CA2902003A1 (en) 2013-09-19
JP2015510423A (en) 2015-04-09
SG11201404625YA (en) 2014-10-30
US10925521B2 (en) 2021-02-23
EP2816953A2 (en) 2014-12-31
MY199024A (en) 2023-10-10
KR20140134298A (en) 2014-11-21
US20200245909A1 (en) 2020-08-06

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