WO1999043255A1 - Spectroscopie de transmission a infrarouge proche sur tissu de la langue - Google Patents

Spectroscopie de transmission a infrarouge proche sur tissu de la langue Download PDF

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Publication number
WO1999043255A1
WO1999043255A1 PCT/US1999/004054 US9904054W WO9943255A1 WO 1999043255 A1 WO1999043255 A1 WO 1999043255A1 US 9904054 W US9904054 W US 9904054W WO 9943255 A1 WO9943255 A1 WO 9943255A1
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WO
WIPO (PCT)
Prior art keywords
tongue
spectra
glucose
fat
measurement
Prior art date
Application number
PCT/US1999/004054
Other languages
English (en)
Inventor
Gary W. Small
Jason J. Burmeister
Mark A. Arnold
Original Assignee
University Of Iowa Research Foundation
Ohio University
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 Iowa Research Foundation, Ohio University filed Critical University Of Iowa Research Foundation
Priority to AU33110/99A priority Critical patent/AU3311099A/en
Publication of WO1999043255A1 publication Critical patent/WO1999043255A1/fr

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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
    • A61B5/01—Measuring temperature of body parts ; Diagnostic temperature sensing, e.g. for malignant or inflamed tissue

Definitions

  • This application relates to the non-invasive measurement and monitoring of chemical substances found in blood, and particularly to the non-invasive measurement and monitoring of blood glucose levels.
  • the present invention overcomes the difficulties of prior art processes by using transmission spectroscopy, and by performing the measurements on the tongue of the - 2 -
  • NIR near infra red
  • Fig. 1 shows SEP versus noise plots for model data sets. Vertical lines indicate noise levels of the webbing (solid) and tongue (dashed) for back to back spectra at different measurement wavelengths.
  • Figs. 2A-F show absorbance spectra for near-infrared measurements at different measurement sites.
  • Fig. 3 shows single beam spectra of human webbing (dashed) and tongue (solid) with a glucose absorbance spectrum (dotted) overlaid.
  • Figs. 4 A and B show 100% lines of back-to-back psectra of human webbing and tongue with an absorbance spectrum of 1M glucose overlaid.
  • Figs. 5 A-E show glucose concentrations versus sample number for the calibration samples for five individuals.
  • Figs. 6 A-D show SEP versus RMA noise calculated over 100 cm "1 spectral ranges for model data sets. Circles and triangles are 5.6 and 6.3 mm aqueous thickness without scatter, respectively. Squares are prediction errors from the model data set with scattering particles added. The vertical lines are noise levels of subject D who had an aqueous layer thickness of 5.5 mm.
  • Figs. 7A-E are concentration correlation plots for the best PLS models for the five volunteers predicting the blind samples.
  • Figs. 8A-E are concentration plots for the five volunteers, using the first sample as the calibration and the last samples as the prediction. - 3 -
  • non-invasive monitoring of glucose in a human patient is carried out by measuring the near infrared absorbance of glucose using transmission spectroscopy on the tongue of the human patient.
  • This selection of measurement site provides better correlation with invasive measurements than non-invasive measurements performed at other sites, including the index fmger and webbing of the hand.
  • EXAMPLE 1 Evaluation of Alternative Measurement Sites Spectra were collected on a modified Midac spectrometer for the near infrared range. Modification include laser detectors, a fan designed to control temperature in the spectrometer, a 250-Watt source operating at about 110 watts and a one-millimeter diameter InGaAs detector with a 1.9 ⁇ m cutoff (Epitaxx). An H-band astronomical filter was used to limit the source bandpass to utilize the full dynamic range of the detector without saturation and minimize sample heating. A one-inch diameter, 25 mm focal length convex lens was used to focus the source intensity on the sample or fiber optic bundle.
  • tissue spectra before converting it to absorbance tissue spectra before converting it to absorbance
  • the detector and mount were fixed in the spectrometer in a vertical position for the tongue spectra and in a horizontal position for
  • beef fat was 2.4 mm for a webbing thickness of 6 mm.
  • Table 1 lists RMS noise levels
  • Figure 1 shows plots of SEP versus RMS noise levels for various frequency ranges for
  • Table 2 lists the calculated aqueous and fat thicknesses.
  • Spectra were collected through the tongue of various people.
  • the average thickness of fat and water was 0.2 and 5.9 mm, respectively, for the 10 volunteers who
  • Figure 3 shows single beam spectra of the human tongue and webbing
  • Table 1 also shows noise levels of tongue spectra calculated in the hospital with
  • Spectra were collected using a Midac M-Series spectrometer modified for the
  • the thickness of the sample was confined to 5.45 mm.
  • the first 189 spectra were not included because the source voltage varied and
  • model parameters were optimized. Three unique rearrangements of calibration and monitoring sets were used to optimize spectral range and number of PLS factors. The parameters which gave the lowest average SEM for all three rearrangements of calibration and monitoring were selected. This procedure reduces the chance of over modeling and modeling information specific to a single small monitoring set .
  • Figure 5 shows plots of glucose versus
  • Table 3 shows the correlation coefficient (r 2 ) of the time profiles.
  • glucose concentrations are believed to be representative of the blood glucose variation for these individuals. Significant spectral and concentration changes are needed to build
  • noise levels were calculated using a second order polynomial fit for 100% lines from
  • the ratio of the intensity at 5751 to 6994 cm '1 is the intensity at the fat band divided by the intensity at the peak of the single
  • the signal to noise (SNR) is the peak single beam intensity divided
  • SD/mean intensity is the standard deviation of the peak single beam intensities divided by
  • the in vitro model was used to estimate ideal prediction errors for the noninvasive data set.
  • the aqueous layer thickness was estimated to be about 5.5 mm.
  • Figure 7 A-E are concentration correlation plots for the best
  • Table 5 Optimal PLS parameters and prediction errors from predicting blind samples.
  • SEP a includes all data in blind
  • SEPb excludes circled data * SEP is greater than SDC - 14 -
  • the model for subject E is predicting the mean concentration.
  • the first is spectral noise from the detector and other electronic and optical components
  • This noise is related to the number of photons at a given frequency
  • the in vitro model of a aqueous and fat layer of constant thickness produces this type of noise.
  • the other type of noise is variation of strongly absorbing components such as fat and muscle.
  • composition or movement during the data collection is a composition or movement during the data collection.
  • the concentration correlation plot for subject E illustrates a situation where all
  • an improved design for the interface may improve

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  • Life Sciences & Earth Sciences (AREA)
  • Health & Medical Sciences (AREA)
  • Medical Informatics (AREA)
  • Biophysics (AREA)
  • Pathology (AREA)
  • Engineering & Computer Science (AREA)
  • Biomedical Technology (AREA)
  • Heart & Thoracic Surgery (AREA)
  • Physics & Mathematics (AREA)
  • Molecular Biology (AREA)
  • Surgery (AREA)
  • Animal Behavior & Ethology (AREA)
  • General Health & Medical Sciences (AREA)
  • Public Health (AREA)
  • Veterinary Medicine (AREA)
  • Measurement Of The Respiration, Hearing Ability, Form, And Blood Characteristics Of Living Organisms (AREA)
  • Investigating Or Analysing Materials By Optical Means (AREA)

Abstract

L'invention concerne la mise en oeuvre de mesures non invasives du taux de glucose sanguin au moyen d'une spectroscopie de transmission sur la langue d'un sujet. La première région spectrale harmonique de l'infrarouge proche (NIR), située entre 7000 et 5000 cm-1 (1,43 - 2 νm), convient bien pour des mesures non invasives. La langue étant l'un des points accessibles les plus maigres du corps, les variations de lecture dues à la graisse corporelle sont minimales. En outre, la langue est bien thermorégulée et vascularisée, deux facteurs importants dans la sélection d'un site de mesure.
PCT/US1999/004054 1998-02-25 1999-02-25 Spectroscopie de transmission a infrarouge proche sur tissu de la langue WO1999043255A1 (fr)

Priority Applications (1)

Application Number Priority Date Filing Date Title
AU33110/99A AU3311099A (en) 1998-02-25 1999-02-25 Near infrared-transmission spectroscopy of tongue tissue

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
US7584798P 1998-02-25 1998-02-25
US60/075,847 1998-02-25

Publications (1)

Publication Number Publication Date
WO1999043255A1 true WO1999043255A1 (fr) 1999-09-02

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PCT/US1999/004054 WO1999043255A1 (fr) 1998-02-25 1999-02-25 Spectroscopie de transmission a infrarouge proche sur tissu de la langue

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AU (1) AU3311099A (fr)
WO (1) WO1999043255A1 (fr)

Cited By (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2001063251A1 (fr) * 2000-02-25 2001-08-30 Instrumentation Metrics, Inc. Procede non invasif d'evaluation de l'epaisseur de la peau et de caracterisation in-vivo des couches de tissus de peau
WO2003087759A2 (fr) 2002-04-04 2003-10-23 Inlight Solutions, Inc. Mesure spectroscopique non effractive d'analytes a l'aide d'un analyte de reference mis en correspondance
US6816605B2 (en) 1999-10-08 2004-11-09 Lumidigm, Inc. Methods and systems for biometric identification of individuals using linear optical spectroscopy
US8125623B2 (en) 2006-09-29 2012-02-28 Ottawa Hospital Research Institute Correlation technique for analysis of clinical condition
CN105628481A (zh) * 2015-12-03 2016-06-01 浙江大学 一种组织氧检测仪校准标准液配置装置及校准方法
US9487398B2 (en) 1997-06-09 2016-11-08 Hid Global Corporation Apparatus and method of biometric determination using specialized optical spectroscopy systems
CN110384507A (zh) * 2019-07-16 2019-10-29 西安石油大学 一种基于嘴唇光学无创测量血糖浓度的检测方法

Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5070874A (en) * 1990-01-30 1991-12-10 Biocontrol Technology, Inc. Non-invasive determination of glucose concentration in body of patients
US5692504A (en) * 1993-11-04 1997-12-02 Boehringer Mannheim Gmbh Method and apparatus for the analysis of glucose in a biological matrix

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5070874A (en) * 1990-01-30 1991-12-10 Biocontrol Technology, Inc. Non-invasive determination of glucose concentration in body of patients
US5692504A (en) * 1993-11-04 1997-12-02 Boehringer Mannheim Gmbh Method and apparatus for the analysis of glucose in a biological matrix

Cited By (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US9487398B2 (en) 1997-06-09 2016-11-08 Hid Global Corporation Apparatus and method of biometric determination using specialized optical spectroscopy systems
US6456870B1 (en) 1999-07-22 2002-09-24 Sensys Medical, Inc. Non-invasive method of determining skin thickness and characterizing layers of skin tissue in vivo
US6816605B2 (en) 1999-10-08 2004-11-09 Lumidigm, Inc. Methods and systems for biometric identification of individuals using linear optical spectroscopy
WO2001063251A1 (fr) * 2000-02-25 2001-08-30 Instrumentation Metrics, Inc. Procede non invasif d'evaluation de l'epaisseur de la peau et de caracterisation in-vivo des couches de tissus de peau
WO2003087759A2 (fr) 2002-04-04 2003-10-23 Inlight Solutions, Inc. Mesure spectroscopique non effractive d'analytes a l'aide d'un analyte de reference mis en correspondance
US8125623B2 (en) 2006-09-29 2012-02-28 Ottawa Hospital Research Institute Correlation technique for analysis of clinical condition
CN105628481A (zh) * 2015-12-03 2016-06-01 浙江大学 一种组织氧检测仪校准标准液配置装置及校准方法
CN110384507A (zh) * 2019-07-16 2019-10-29 西安石油大学 一种基于嘴唇光学无创测量血糖浓度的检测方法
CN110384507B (zh) * 2019-07-16 2022-03-18 西安石油大学 一种基于嘴唇光学无创测量血糖浓度的检测方法

Also Published As

Publication number Publication date
AU3311099A (en) 1999-09-15

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