EP0679064A1 - Procede et dispositif de determination percutanee non invasive de la concentration de substances presentes dans des liquides ou des tissus du corps humain - Google Patents

Procede et dispositif de determination percutanee non invasive de la concentration de substances presentes dans des liquides ou des tissus du corps humain

Info

Publication number
EP0679064A1
EP0679064A1 EP94929519A EP94929519A EP0679064A1 EP 0679064 A1 EP0679064 A1 EP 0679064A1 EP 94929519 A EP94929519 A EP 94929519A EP 94929519 A EP94929519 A EP 94929519A EP 0679064 A1 EP0679064 A1 EP 0679064A1
Authority
EP
European Patent Office
Prior art keywords
radiation
reflectance
spectral
radiation source
measuring medium
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.)
Withdrawn
Application number
EP94929519A
Other languages
German (de)
English (en)
Inventor
Christoph Fischbacher
Kay-Uwe Jagemann
Klaus Danzer
Ulrich Alfons MÜLLER
Lutz Papenkordt
Jost SCHÜLER
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.)
Jenoptik AG
Original Assignee
Jenoptik Jena GmbH
Jenoptik AG
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 Jenoptik Jena GmbH, Jenoptik AG filed Critical Jenoptik Jena GmbH
Publication of EP0679064A1 publication Critical patent/EP0679064A1/fr
Withdrawn legal-status Critical Current

Links

Classifications

    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/145Measuring characteristics of blood in vivo, e.g. gas concentration, pH value; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid, cerebral tissue
    • A61B5/1455Measuring characteristics of blood in vivo, e.g. gas concentration, pH value; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid, cerebral tissue using optical sensors, e.g. spectral photometrical oximeters
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/145Measuring characteristics of blood in vivo, e.g. gas concentration, pH value; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid, cerebral tissue
    • A61B5/14532Measuring 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
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/72Signal processing specially adapted for physiological signals or for diagnostic purposes
    • A61B5/7235Details of waveform analysis
    • A61B5/7264Classification of physiological signals or data, e.g. using neural networks, statistical classifiers, expert systems or fuzzy systems
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
    • G01N21/17Systems in which incident light is modified in accordance with the properties of the material investigated
    • G01N21/25Colour; Spectral properties, i.e. comparison of effect of material on the light at two or more different wavelengths or wavelength bands
    • G01N21/31Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry
    • G01N21/35Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry using infrared light
    • G01N21/359Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry using infrared light using near infrared light
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/145Measuring characteristics of blood in vivo, e.g. gas concentration, pH value; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid, cerebral tissue
    • A61B5/14546Measuring 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 analytes not otherwise provided for, e.g. ions, cytochromes
    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H50/00ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
    • G16H50/20ICT 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

Definitions

  • the artificial neural network is specified with 401 input elements 14, 10 hidden elements 15 and one output element 16.
  • the input elements 14 result from the division of the spectral range (900 - 1300) nm into spectral intervals of 1 nm bandwidth, which convert the spectrum into a sequence of 401 intensity values without gaps.
  • all necessary steps of the method, including the above-mentioned connection phase of the neural network 13, are now carried out.
  • the learning phase for generating the weight matrices of the neural network 13 is carried out by means of a large number of the above-mentioned.
  • Spectra and the associated invasively determined substance concentrations were carried out using the error feedback method.
  • the artificial neural network 13 automatically learns the ability to recognize the correct substance concentrations from the measured spectrum.
  • Halogen lamp is irradiated via a glass fiber bundle 2 onto a well-perfused body surface, the oral mucosa (the upper side of the tongue should be mentioned here as an example).
  • the remitted radiation is imaged via a second glass fiber bundle 3 onto the entrance slit 5 of a polychromator 4 (as a dispersing element for spectral decomposition of the radiation).
  • the spectrum falling in the spectral range (900 - 1300) nm falling on the detector array 6 is divided by the choice of the mapping of the spectrum and the grid of the detector array 6 in a simple manner into uniform, seamlessly arranged spectral intervals 12 which have a range of selected for this example lnm that of the adjacent spectrum assign corresponding intensity values to the elements of the detector array 6.
  • the sequence of intensity measurement values thus output by the detector array 6 to the evaluation unit 7 is evaluated in the latter via an artificial neural network 13 (corresponding to the illustration in FIG. 2).
  • the neural network 13 consists of 401 input elements 14, 10 for all of

Landscapes

  • Health & Medical Sciences (AREA)
  • Physics & Mathematics (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Engineering & Computer Science (AREA)
  • Pathology (AREA)
  • General Health & Medical Sciences (AREA)
  • Veterinary Medicine (AREA)
  • Biomedical Technology (AREA)
  • Heart & Thoracic Surgery (AREA)
  • Medical Informatics (AREA)
  • Molecular Biology (AREA)
  • Surgery (AREA)
  • Animal Behavior & Ethology (AREA)
  • Public Health (AREA)
  • Biophysics (AREA)
  • Spectroscopy & Molecular Physics (AREA)
  • Artificial Intelligence (AREA)
  • Optics & Photonics (AREA)
  • Evolutionary Computation (AREA)
  • Signal Processing (AREA)
  • Fuzzy Systems (AREA)
  • Mathematical Physics (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Physiology (AREA)
  • Psychiatry (AREA)
  • Emergency Medicine (AREA)
  • Chemical & Material Sciences (AREA)
  • Analytical Chemistry (AREA)
  • Biochemistry (AREA)
  • General Physics & Mathematics (AREA)
  • Immunology (AREA)
  • Measurement Of The Respiration, Hearing Ability, Form, And Blood Characteristics Of Living Organisms (AREA)

Abstract

L'invention a pour objet un procédé et un dispositif de détermination percutanée non invasive de la concentration de substances présentes dans les liquides ou les tissus du corps humain, ledit procédé permettant de limiter l'influence de grandeurs perturbatrices liées à chaque individu et de réduire la dominance de l'absorption de l'eau ainsi que les effets de la circulation du sang à travers les tissus. Le procédé consiste à exposer une partie appropriée de la peau à des rayons à large bande (1, 2), à enregistrer un spectre de transmission ou de réflexion (3, 4, 6), à déterminer une série de mesures d'intensité à des intervalles (12) de ce spectre définis de façon adéquate, et à analyser cette série de mesures d'intensité au moyen d'un réseau neuronal artificiel (13). Ce réseau neuronal (13) apprend, au cours d'une période d'apprentissage, de nombreuses suites de mesures d'intensité et des valeurs de concentrations obtenues simultanément de façon invasive afin de générer des matrices de poids. L'invention peut être appliquée pour la détermination non invasive de concentration de substances présentes dans le sang humain telles que hémoglobine, bilirubine, glucose, albumine, urée, cholestérol et autres produits du métabolisme.
EP94929519A 1993-11-16 1994-10-07 Procede et dispositif de determination percutanee non invasive de la concentration de substances presentes dans des liquides ou des tissus du corps humain Withdrawn EP0679064A1 (fr)

Applications Claiming Priority (3)

Application Number Priority Date Filing Date Title
DE4339067A DE4339067A1 (de) 1993-11-16 1993-11-16 Verfahren und Anordnung zur nichtinvasiven, transkutanen Bestimmung von Stoffkonzentrationen in Körperflüssigkeit oder Gewebe des Menschen
DE4339067 1993-11-16
PCT/EP1994/003316 WO1995013739A1 (fr) 1993-11-16 1994-10-07 Procede et dispositif de determination percutanee non invasive de la concentration de substances presentes dans des liquides ou des tissus du corps humain

Publications (1)

Publication Number Publication Date
EP0679064A1 true EP0679064A1 (fr) 1995-11-02

Family

ID=6502695

Family Applications (1)

Application Number Title Priority Date Filing Date
EP94929519A Withdrawn EP0679064A1 (fr) 1993-11-16 1994-10-07 Procede et dispositif de determination percutanee non invasive de la concentration de substances presentes dans des liquides ou des tissus du corps humain

Country Status (3)

Country Link
EP (1) EP0679064A1 (fr)
DE (1) DE4339067A1 (fr)
WO (1) WO1995013739A1 (fr)

Families Citing this family (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6040578A (en) * 1996-02-02 2000-03-21 Instrumentation Metrics, Inc. Method and apparatus for multi-spectral analysis of organic blood analytes in noninvasive infrared spectroscopy
DE19629342C2 (de) * 1996-07-20 1999-09-02 Epsa Elektronik Und Praezision Verfahren und Anordnung zur nicht-invasiven, transkutanen Bestimmung von Stoffkonzentrationen in Körpergeweben
CA2283860A1 (fr) * 1997-03-21 1998-10-01 Nellcor Puritan Bennett Inc. Procede et appareil d'arbitrage pour obtenir les meilleures estimations de valeurs de fractions sanguines, et de rejet d'harmoniques
CA2358473A1 (fr) * 1999-01-22 2000-07-27 Instrumentation Metrics, Inc. Systeme et procede de mesures non vulnerantes d'un analyte sanguin
US6280381B1 (en) 1999-07-22 2001-08-28 Instrumentation Metrics, Inc. Intelligent system for noninvasive blood analyte prediction
DE19923658A1 (de) * 1999-05-22 2000-11-23 Infralytic Gmbh Vorrichtung zum Messen des Organisationsgrades von Wasser in Säugetierkörpern
CH695000A5 (de) * 2000-01-31 2005-10-31 Swan Analytische Instr Ag Verfahren zur Detektion von Serum und zur Erfassung seiner Qualitaet und Anordnungen hierzu.
JP2003535630A (ja) * 2000-06-02 2003-12-02 ヘマ メトリクス インコーポレイテッド 血清中尿素窒素、重量オスモル濃度、プラズマ遊離ヘモグロビン、および、組織水含有量を測定するシステムおよび方法
CN107192690B (zh) * 2017-05-19 2019-04-23 重庆大学 近红外光谱无创血糖检测方法及其检测网络模型训练方法
DE102019135877B4 (de) * 2019-12-30 2021-09-30 TRUMPF Venture GmbH System zur Messung des Vorhandenseins und/oder der Konzentration einer in Körperflüssigkeit gelösten Analysesubstanz

Family Cites Families (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5028787A (en) * 1989-01-19 1991-07-02 Futrex, Inc. Non-invasive measurement of blood glucose
US5070874A (en) * 1990-01-30 1991-12-10 Biocontrol Technology, Inc. Non-invasive determination of glucose concentration in body of patients
US5259382A (en) * 1991-03-04 1993-11-09 Kronberg James W Optical transcutaneous bilirubin detector
US5321265A (en) * 1992-07-15 1994-06-14 Block Myron J Non-invasive testing

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
See references of WO9513739A1 *

Also Published As

Publication number Publication date
WO1995013739A1 (fr) 1995-05-26
DE4339067A1 (de) 1995-05-18

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