WO2005099564A1 - Appareil es procede pour mesurer le parametre du metabolisme d'oxygene du sang dans un tissu humain - Google Patents

Appareil es procede pour mesurer le parametre du metabolisme d'oxygene du sang dans un tissu humain Download PDF

Info

Publication number
WO2005099564A1
WO2005099564A1 PCT/CN2004/001301 CN2004001301W WO2005099564A1 WO 2005099564 A1 WO2005099564 A1 WO 2005099564A1 CN 2004001301 W CN2004001301 W CN 2004001301W WO 2005099564 A1 WO2005099564 A1 WO 2005099564A1
Authority
WO
WIPO (PCT)
Prior art keywords
light
tissue
light sources
human body
emitted
Prior art date
Application number
PCT/CN2004/001301
Other languages
English (en)
Chinese (zh)
Inventor
Haishu Ding
Guangzhi Wang
Lan Huang
Yichao Teng
Jun Zhao
Yue Li
Original Assignee
Tsinghua 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
Priority claimed from CN 200310113534 external-priority patent/CN1223843C/zh
Priority claimed from CN 200310115396 external-priority patent/CN1223858C/zh
Application filed by Tsinghua University filed Critical Tsinghua University
Publication of WO2005099564A1 publication Critical patent/WO2005099564A1/fr

Links

Classifications

    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/02—Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
    • 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
    • A61B5/1455—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 using optical sensors, e.g. spectral photometrical oximeters
    • A61B5/14551—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 using optical sensors, e.g. spectral photometrical oximeters for measuring blood gases
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61K—PREPARATIONS FOR MEDICAL, DENTAL OR TOILETRY PURPOSES
    • A61K31/00—Medicinal preparations containing organic active ingredients
    • A61K31/70—Carbohydrates; Sugars; Derivatives thereof
    • A61K31/7042—Compounds having saccharide radicals and heterocyclic rings
    • A61K31/7048—Compounds having saccharide radicals and heterocyclic rings having oxygen as a ring hetero atom, e.g. leucoglucosan, hesperidin, erythromycin, nystatin, digitoxin or digoxin
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
    • G01N21/17—Systems in which incident light is modified in accordance with the properties of the material investigated
    • G01N21/25—Colour; Spectral properties, i.e. comparison of effect of material on the light at two or more different wavelengths or wavelength bands
    • G01N21/31—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry
    • G01N21/35—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry using infrared light
    • G01N21/359—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry using infrared light using near infrared light
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
    • G01N21/17—Systems in which incident light is modified in accordance with the properties of the material investigated
    • G01N21/47—Scattering, i.e. diffuse reflection
    • G01N21/49—Scattering, i.e. diffuse reflection within a body or fluid
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B2562/00—Details of sensors; Constructional details of sensor housings or probes; Accessories for sensors
    • A61B2562/02—Details of sensors specially adapted for in-vivo measurements
    • A61B2562/0233—Special features of optical sensors or probes classified in A61B5/00
    • A61B2562/0242—Special features of optical sensors or probes classified in A61B5/00 for varying or adjusting the optical path length in the tissue
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
    • G01N21/17—Systems in which incident light is modified in accordance with the properties of the material investigated
    • G01N2021/178—Methods for obtaining spatial resolution of the property being measured
    • G01N2021/1782—In-depth resolution
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
    • G01N21/17—Systems in which incident light is modified in accordance with the properties of the material investigated
    • G01N21/25—Colour; Spectral properties, i.e. comparison of effect of material on the light at two or more different wavelengths or wavelength bands
    • G01N21/31—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry
    • G01N21/314—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry with comparison of measurements at specific and non-specific wavelengths
    • G01N2021/3144—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry with comparison of measurements at specific and non-specific wavelengths for oxymetry
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
    • G01N21/17—Systems in which incident light is modified in accordance with the properties of the material investigated
    • G01N21/25—Colour; Spectral properties, i.e. comparison of effect of material on the light at two or more different wavelengths or wavelength bands
    • G01N21/31—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry
    • G01N21/314—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry with comparison of measurements at specific and non-specific wavelengths
    • G01N2021/3148—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry with comparison of measurements at specific and non-specific wavelengths using three or more wavelengths

Definitions

  • the present invention relates to a method and system for non-destructive detection of blood oxygen metabolism parameters of human tissue, and more particularly, to a method and device for detecting blood oxygen metabolism parameters of human tissue using multiple light sources and a single detector. Background technique
  • methods for determining the blood oxygen metabolism status of a local tissue of a human body mainly include a direct detection method of invasive tissue oxygen partial pressure based on an electrochemical principle and a non-destructive detection method based on optical detection.
  • the optical detection method can complete non-invasive monitoring, which is convenient, safe, stable and reliable.
  • the invention belongs to one of the optical detection methods.
  • Cispray No. CN1365649A discloses a detection method based on the classic Lambert-Beer law. This classic law is valid for non-scattering situations. However, in the case of the human body and other biological tissues with strong scattering optical characteristics, this classical law must be modified before it can be used. In principle, applying the classic Lambert-Beer law directly under strong scattering cannot get any correct results.
  • U.S. Patent Publication No. US005632273A discloses a detection method based on a semi-infinite homogeneous medium, and a steady-state spatially-resolved calculation algorithm used for detecting the deep-tissue blood oxygen saturation when having an outer-layer tissue is affected.
  • FIG. 1 illustrates a schematic diagram of a device for detecting blood oxygen metabolism parameters commonly used in the prior art.
  • a indicates a light source
  • b indicates a detector
  • c indicates a probe
  • d indicates a detector
  • e indicates a deep tissue to be measured
  • f indicates an outer tissue.
  • Common detection devices use one light source and multiple detectors (for example, two) to detect blood tissue metabolic parameters of human tissues. Because it uses a single light source, its accuracy is poor. Summary of the invention
  • the purpose of the present invention is to provide a method and a device for detecting blood oxygen metabolism parameters of human tissues by using multiple light sources and a single detector.
  • this device the blood oxygen saturation of local tissues, the concentration of oxygenated hemoglobin and reduced hemoglobin in local tissues can be detected And as a parameter that can assess the oxygen metabolism capacity of muscle tissue oxy.
  • a method for detecting blood oxygen saturation in a local tissue of a human body includes the following steps: sequentially emitting at least three light sources at different positions on a local tissue of a human body: A photodetector on the tissue, respectively detecting the light intensity values of the light emitted from the at least three light sources after being diffused by the local tissue of the human body; and processing the light intensity values to obtain blood oxygen of the local tissue of the human body saturation.
  • the at least three light sources are on the same line as the photodetector, and the photodetectors are located on the same line of the at least three light sources.
  • the at least three light sources emit red light and near-infrared light, respectively.
  • the at least three light sources sequentially emit light sequentially within a time interval of less than 0.5 ms.
  • the light source is a light emitting diode.
  • the light intensity value is calculated using the following formula :
  • I k is the intensity value of light emitted by different light sources.
  • the light source is three light sources, and each light source emits light of two different wavelengths respectively, and further includes the step of subtracting the optical density values detected with respect to different light sources in the same detection period:
  • j 1 and 2 respectively represent subscripts of different wavelengths, that is, ⁇ 2 respectively represent different wavelengths:
  • AOD ⁇ represents the difference between the density value of light having a wavelength ⁇ ′′ ⁇ emitted by the second light source and the density value of light having a wavelength ⁇ ′′ emitted by the first light source;
  • AOD ⁇ represents the difference between the density value of light having a wavelength of and emitted by the third light source and the density value of light having a wavelength of ⁇ ′′ ⁇ emitted by the second light source;
  • A, Bi, B 2 and C are undetermined constants, and their values are C: 0.16-0.25; ⁇ ,: -1.66-2.5; ⁇ 2 : -0.13-0.25; ⁇ : 1 ⁇ 8 ⁇ 2 ⁇ 7.
  • the center distance between adjacent light sources is set between 5mm-10mm, and the center distance between the photodetector and each light source is set between 30-50 Between.
  • the center distance between the photodetector and the light source is set to at least 50iran, otherwise at least 40mm.
  • a method for detecting oxygenated hemoglobin and reduced hemoglobin in a local tissue of a human body includes the following steps: when the human body to be measured does not absorb oxygen and is in a quiet state, Method to detect blood oxygen saturation rS0 2 (t Q ) in a local tissue of a human body ; after a period of oxygen inhalation by the human body to be measured, use the method of claim 1 to detect blood oxygen saturation rSO 2 (t0; The human body stops oxygen supply after a period of oxygen inhalation, and after a period of time, uses the method of claim 1 to detect the blood oxygen saturation of the local tissue of the human body; and processes the results obtained in the above steps to obtain the oxygenated hemoglobin and Reduced hemoglobin concentration.
  • the following formula is used to calculate the optical density value OD k: 3.... means multiple different light sources;
  • I kr is the light intensity value of the diffused light detected by the photodetector after the light emitted by the light sources at different positions is diffused by the local human tissue.
  • I k is a light intensity value of the emitted light emitted by multiple light sources
  • the light source in detecting the blood oxygen saturation of the local tissue of the human body, is three light sources, and each light source emits light of two different wavelengths respectively, and further includes steps:
  • j 1, 2 respectively represent subscripts of different wavelengths, that is, person 2 represents different wavelengths:
  • a and B ⁇ PC are undetermined constants, and their values are C: 0.16-0.25; B -1.66-2.5; B 2 : -0.13-0.25; A: 1.8 ⁇ 2.7.
  • the method further includes the following steps:
  • OD ⁇ and OD ⁇ are respectively the difference in optical density values at time t and time t + 1 after the wavelength is;
  • ⁇ Hb0 2 ⁇ , ⁇ 1 -a 2 AODj 2
  • ABV AHb02 + AHb
  • on-o ⁇ is the undetermined constant and is related to the wavelength
  • the wavelength is below: ai is -1.6 ⁇ -2.5, a 3 is 2.6 ⁇ 3.85
  • ⁇ 2 is -2.5 ⁇ -3.6, ⁇ 4 is 0.6 ⁇ 1.6;
  • the concentration of oxygenated hemoglobin Hb0 2 (t Q ) and reduced hemoglobin Hb (t Q ) in local tissues of the human body is obtained using the following formula : rSQ2 ) -ring-° [HbO 2 (t 0 )] + (Hb ( 0 )
  • Hb (t i )] [Hb (t 0 ) + AHb]
  • a method for detecting oxygen metabolism capacity of muscle tissue includes the following steps: after the detection object is stationary on a power bicycle for a period of time, detecting a heart rate HR and detecting a change in blood volume A BV ; Make the test subject perform load-increasing exercise, and use the method of claim 10 to detect muscle tissue oxygenated hemoglobin and reduced hemoglobin; according to the above-mentioned muscle tissue oxygenated hemoglobin and reduced hemoglobin detection results, calculate the blood volume change during exercise under each load The value ⁇ ⁇ ′′, while detecting the heart rate HR under each load; and calculate the heart rate change ⁇ ⁇ under each load, the following formula is used to evaluate the oxygen metabolism capacity of muscle tissue oxygen parameter; j represents the number of stages of exercise load.
  • the step of detecting a change in blood volume includes: detecting a thickness of the outer tissue; selecting one of a plurality of light sources according to the detected thickness of the outer tissue; detecting that the light emitted from the selected light source passes through the The light intensity value after the local human body tissue is diffused; use the detected light intensity value to calculate the optical density value at the center distance between the selected light source and the photodetector; during the change of the blood oxygen state with time, two adjacent samples Optical density value of interval ⁇ ⁇ 'Difference ⁇ OD)'
  • AODf OD "-OD ⁇ Where OD ⁇ and OD ⁇ are respectively the difference in optical density values at time t and time t + 1 after the wavelength is ⁇ ; and using the following formula, in the blood oxygen state change with time, two adjacent At the sampling time, calculate the change in the concentration of oxygenated hemoglobin ⁇ K) 2, the change in the reduced hemoglobin concentration A Hb and the change in blood volume A BV
  • ⁇ Hb0 2 ⁇ ⁇ '- ⁇ 2 ⁇ 2
  • ⁇ BV A Hb02 + A Hb
  • ⁇ - ( 4 is the undetermined constant and is related to the wavelength
  • the wavelength is below: ⁇ is -1.6 ⁇ -2,5, a 3 is 2.6 ⁇ 3.85
  • the wavelength is under 2 : a 2 is -2.5-3.6, and a 4 is 0.6 ⁇ 1.6.
  • the OD k is calculated using the following formula : 3, indicating multiple different light sources;
  • the light intensity value of the scattered light detected by the photodetector after the light emitted by different light sources is scattered by the tissue on the side.
  • I k is a light intensity value of emitted light emitted by a plurality of light sources.
  • the thickness of the outer tissue is detected by an ultrasonic method. In one embodiment of the present invention, each stage load is driving.
  • a device for detecting blood oxygen metabolism parameters of a human tissue including: a plurality of light sources; a photodetector for detecting light from the plurality of light sources after being diffused by the local tissue of the human body to be measured; A microcontroller that processes the light intensity value to obtain a blood oxygen metabolism parameter of the human body; and wherein the microcontroller is connected to the light source via a plurality of driving circuits to drive the light source to emit light; the microprocessor in turn passes through each other The connected A / D converter, the sample holding circuit, and the preamplifier are connected to the photodetector output terminal.
  • the multi-channel driving circuit is a light emitting diode.
  • the plurality of light sources are on the same straight line as the photodetector, and the photodetectors are located on the same side of the plurality of light sources. In one embodiment of the present invention, the plurality of light sources are light emitting diodes.
  • the present invention clearly provides that the detected value is the absolute value of the blood oxygen saturation, rather than the vague concept of the "blood oxygen” parameter. Knowing the absolute value of the tissue blood oxygen saturation can accurately determine whether the patient's blood running status is normal, so this parameter has more clinical significance. In addition, the thickness of the outer layer tissue is often an important factor that causes errors in blood oxygen parameters.
  • the present invention uses multiple light sources and a single detector to eliminate this effect.
  • the present invention is characterized by:
  • the method of using multiple light sources and a single detector arranged in a straight line can improve detection accuracy and facilitate adjustment.
  • each level of exercise load is set on the power bicycle, and the calculated value of ⁇ ) 2 and A Hb are added to obtain the blood volume change value ⁇ by weighting.
  • a heart rate meter provided by technology records the heart rate HR in each level of exercise, HR can reflect the blood supply capacity of the heart; calculate the amount of change ⁇ ⁇ ⁇ ⁇ ⁇ in each level of load, calculate the amount of change ⁇ ⁇ ⁇ in each level of load HR, and Calculate the parameter oxy value that represents the blood oxygen metabolism capacity of the tissue.
  • the present invention has the following features:
  • the present invention clearly detects the tissue oxygen saturation, local tissue oxygenation, and reduced hemoglobin concentration, not the "blood oxygen parameter" which is generally referred to.
  • the method using multiple light sources and single detectors of the present invention is different from the method using single light sources and multiple detectors, and has a high signal-to-noise ratio, high accuracy, and simple system.
  • the present invention provides an empirical formula for accurately detecting the tissue oxygen saturation value in the presence of outer tissue.
  • the blood oxygen saturation and change parameters of the local brain tissue are obtained, and the concentrations of oxygenated hemoglobin and reduced hemoglobin in the local tissue are estimated according to the changes in the local tissue oxygen saturation.
  • the thickness of the outer tissue is used as a parameter, and the distance between the light source and the detector is reasonably selected to reduce the influence of the outer tissue; and a parameter that comprehensively reflects the blood oxygen metabolism capacity during exercise is derived.
  • This parameter is related to the local tissue.
  • the amount of oxygenated and reduced hemoglobin changes is related to the ability of the heart to supply blood and the ability to distribute blood.
  • FIG. 1 is a schematic diagram describing a blood tissue metabolic parameter detection device commonly used in the prior art
  • FIG. 2 is a schematic diagram showing the principle of a device for detecting blood oxygen metabolism parameters according to the present invention
  • FIG. 3 is a graph describing a hemoglobin absorption spectrum
  • 4A is a flowchart describing a method for detecting blood oxygen saturation rS0 2 of a human tissue according to the present invention
  • FIG. 4B is a flowchart describing a method for detecting oxygenated hemoglobin and reduced hemoglobin concentration in a local tissue of a human body according to the present invention
  • 4C is a flowchart describing a method for detecting a parameter value oxy representing a blood oxygen metabolism capacity of a human tissue according to the present invention
  • FIG. 5 is a circuit block diagram describing a detection device according to the present invention.
  • FIG. 6 is an external view showing a photodetector according to the present invention.
  • FIG. 7 is an external view showing a detection device according to the present invention.
  • 8A is a graph showing rS02 results of a normal baby detected by the detection method of the present invention
  • 8B is a graph showing the results of rS02 in children detected by the detection method of the present invention
  • 8C is a graph showing a result of testing a blood model rS02 by using the detection method of the present invention.
  • FIG. 8D is a curve diagram of a result of testing a blood model rS02 using a detection method in the prior art
  • FIG. 9A is a graph showing the results of 0 2 of a normal newborn detected under the condition of inhaling pure oxygen using the detection method of the present invention.
  • FIG. 9 ⁇ is a graph of rS0 2 results of a patient detected under the condition of pure oxygen inhalation using the detection method of the present invention.
  • Fig. 10 is a graph showing the tissue oxygen parameter 0XY detected by the detection method of the present invention in an increasing load exercise. detailed description
  • Fig. 2 is a schematic diagram of the principle of the blood oxygen metabolism parameter detection device of a human tissue according to the present invention.
  • the detection device includes three light sources 1, 2, 3 and a single detector 4.
  • Reference numeral 1 indicates a light source LSI with a distance of rl from the photodetector 0PSU 4;
  • Reference numeral 2 indicates a light source LS2 with a distance of r2 from the photodetector OPUS 4;
  • Reference numeral 3 indicates a light source with a distance of r3 from the photodetector OPUS Light source LS3;
  • reference number 4 indicates the photodetector 0PSU;
  • reference number 5 indicates the first layer of tissue, and is indicated by T1;
  • reference number 6 indicates the second layer of tissue, and is indicated by T2;
  • reference number 7 indicates the third layer of tissue, and indicated by T3 .
  • T1 is skin
  • T2 is muscle subcutaneous tissue
  • T3 muscle tissue
  • T1 is skin
  • T2 is skull
  • T3 is brain tissue (grey and white matter).
  • bl, b2, b3 represent the trajectories of photon migration, respectively.
  • the light sources 1, 2 and 3 are aligned with the photo detector OPUS 4. More preferably, the photodetector 4 is located on the same side of the light sources 1, 2 and 3, so as to detect different tissues using the light sources 1, 2 and 3, respectively, wherein the distance from the light sources 1, 2 and 3 to the photodetector OPUS4 is r ,,, r 2 and r 3 .
  • the light sources 1, 2 and 3 are light emitting diodes. Light sources 1, 2 and 3 emit red and infrared light.
  • the center distance between adjacent light sources is between 5 mm and 10 mm, and the center distance between the photodetector and each light source is between 30 mm and 50 mm.
  • the outer tissue is the fat layer of the muscle, the muscle is detected.
  • the center distance between the photodetector and each light source is at least 50 mm, otherwise it is at least 40 mm. Under the increasing exercise load, the parameter oxy of the blood oxygen metabolism capacity of the tissue is obtained.
  • the light source 3 emits light, and the information detected by the photodetector OPUS 4 is mainly the T1 layer.
  • the light source 2 emits light.
  • the photodetector OPUS 4 detects the information of the T1 and T2 layers.
  • the light source 1 emits light, which is detected by the photodetector OPUS 4, mainly the information of the T1, T2, and T3 layers.
  • three light sources 1, 2 and 3 at different positions on the surface of the tissue to be measured can each emit two light sources of different wavelengths in sequence at a time interval of less than 0.5 ms.
  • the photodetector 4 sequentially detects the light intensity value of the light emitted from the light sources 1, 2 and 3 after diffused through the deep structure of the human body, thereby calculating the optical density value OD, and since then calculating the blood oxygen saturation of the deep local test tissue Degree, local tissue oxygenated hemoglobin and reduced hemoglobin concentrations, and oxy as a parameter that can assess the oxygen metabolism capacity of muscle tissue.
  • Figure 3 depicts the hemoglobin absorption spectrum.
  • Figure 4A depicts a flowchart of a method of detecting human tissue oxygen saturation of rS0 2 according to the present invention.
  • step S1 the three light sources 1, 2, 3 are fixed to the test object. Tissue surface at three different locations. Under the control of the microcontroller, each light source is driven to emit light sequentially, and the light intensity value of the light emitted by each light source through the local tissue of the human body on the side to be diffused is measured in turn using the photodetector 4 (step S1).
  • step S2 the following optical density value formula is used to calculate the optical density value OD k at different detection distances from the photodetector :
  • I kr is the light intensity value of light emitted by light sources at different positions after being scattered by human tissues
  • I k is the light intensity emitted by the three light sources.
  • step S3 the oxygen saturation rS0 2 of the deep local tissue to be measured is calculated according to the above test results, displayed and saved.
  • Step S2 includes the following sub-steps:
  • AODi ⁇ 2 ⁇ '- ⁇ ⁇ '
  • j 1, 2 respectively represent different wavelengths, that is, 2 respectively represent light wavelengths at different wavelengths:
  • ⁇ 02 represents the difference between the optical density value of light of wavelength j emitted by the second light source and the optical density value of light of wavelength ⁇ ′′ ⁇ emitted by the first light source;
  • ⁇ Z ⁇ ⁇ represents the difference between the optical density value of the light of the wavelength ⁇ ′′ ⁇ emitted by the third light source and the optical density value of the light of the wavelength ⁇ ′′ ⁇ emitted by the second light source;
  • rS0 2 C (-) 2 + ⁇ , (-) + ⁇ 2 (.-) + ⁇
  • FIG. 4B is a flowchart describing a method for detecting the concentration of oxygenated hemoglobin and reduced hemoglobin in a local tissue according to the present invention.
  • tissue oxygen saturation rS0 2 (t Q ) is detected as follows, including sub-steps:
  • step S11 Drive each light source to emit light sequentially under the control of the microcontroller, and sequentially measure the light intensity value of the light emitted by each light source through the local tissue of the human body to be diffused using the photodetector 4 (step S11).
  • ⁇ Is the light intensity value of light emitted by light sources at different positions after being scattered by human tissue
  • I k is the light intensity emitted by the three light sources.
  • j 1, 2, respectively represent different wavelengths, that is, ⁇ 2 respectively represent light wavelengths at different wavelengths ⁇
  • ⁇ ⁇ 2 ⁇ represents the difference between the optical density value of the light of the wavelength ⁇ ′′ ⁇ emitted by the first light source and the optical density value of the light of the wavelength ⁇ ′′ ⁇ emitted by the first light source;
  • ⁇ ⁇ represents the difference between the optical density value of light having a wavelength of ⁇ ′′ ⁇ emitted by the third light source and the optical density value of light having a wavelength of ⁇ ′′ ⁇ emitted by the third light source;
  • rS0 2 (ti) is detected, calculated, and recorded using the above steps (steps S11, S12, S13, and S14).
  • step S15 and S16 the local tissue oxygenation is calculated by using The concentration of hemoglobin [Hb0 2 ] and the reduced hemoglobin [Hb] (step S16), wherein this step includes the following sub-steps:
  • OD ⁇ and OD ⁇ are respectively the difference in optical density values at time t and time t + 1 after the wavelength is;
  • the concentration change of oxygenated hemoglobin at two adjacent sampling moments is ⁇ 3 ⁇ 402
  • the change of reduced hemoglobin concentration is AHb
  • the change in blood volume ⁇ can be calculated by the following formula:
  • ABV AHb02 + AHb
  • the wavelength is below, a! Is -1.6 2.5, 3 is 2.6-3.85;
  • a 2 is -2.5 ⁇ -3.6
  • a 4 is 0.6 ⁇ 1.6
  • FIG. 4C is a flowchart describing a method for detecting a parameter oxy value representing a blood oxygen metabolism capacity of human tissue according to the present invention
  • changes in oxygenated hemoglobin ( ⁇ Hb0 2 ), reduced hemoglobin ( ⁇ ! 3 ⁇ 4), and heart rate detected under a certain exercise load are used as parameters that can evaluate the oxygen metabolism capacity of muscle tissue.
  • This parameter uses oxy Means.
  • the thickness of the outer tissue is measured by an ultrasonic method according to the test object and the test site, and a light source with a distance d from the photodetector is selected from three light sources according to the thickness of the outer tissue (steps S21, S22 And S23).
  • test subject stands still on the power bicycle for 1 minute, measures the heart rate HR with a universal heart rate meter and records the baseline value of A BV (step S24), and detects and calculates A BV through the following steps;
  • I k is the power of the light source
  • ⁇ is the light power received by the photoelectric receiving tube after the incident light is scattered by the biological tissue.
  • OD ⁇ and OD ⁇ are respectively the difference in optical density values at time t and time t + 1 after the wavelength is;
  • ABV AHb02 + AHb
  • Wavelength is 2 times
  • a 2 is -2.5 ⁇ -3.6
  • the subjects performed load-increasing exercise at 50W per level, recorded the ABV value of the exercise process under each level of load, and simultaneously recorded the heart rate HR under each level of load;
  • j represents the level of exercise load
  • FIG. 5 shows a circuit block diagram of a detection device according to the present invention.
  • FIG. 6 shows an external view of a photodetector according to the present invention.
  • FIG. 7 is an external view showing a detection device according to the present invention.
  • the device is composed of a photodetector 11, a preamplifier circuit 16, an A / D converter 18, an embedded microcontroller 12, an external SRAM 15, a liquid crystal display 14, and a touch screen 13.
  • the microcontroller 12 uses AT89C52, the photo detector OPUS16 used is a silicon photocell, the liquid crystal display 14 has a resolution of 320 * 240, and a 1024 * 1024 touch screen.
  • the detection device according to the present invention includes three light sources 1, 2 and 3, a single photodetector 4, and a microcontroller 12 connected to each of the light sources 1, 2 and 3 via a three-way light emitting diode driving circuit 11; wherein, micro The processor 12 is connected in turn through the A / D converter 19, the sample-and-hold circuit 18, the preamplifier 17, and the photodetector 1 output terminal connected to each other.
  • the three light sources 1, 2 and 3 are distributed at different distances from the photodetector 4 and are linearly arranged with the photodetector 4.
  • the present invention obtains tissue oxygen saturation in a local area based on a plurality of optical density values measured at different positions and performs algebraic operations on the empirical formulas given to them.
  • the probe 8 connects the plug 9 to the instrument 10, 13 is the LCD touch screen, and 12 is the reset button.
  • the light source uses 3 LEDs and 1 OPUS at different distances (in a line, and the LEDs are separate), and the 3 LEDs are 20 legs, 30 bands, and 40 legs from the photodetector OPUS 4, respectively.
  • the photodetector OPUS 4 detects changes in light intensity.
  • the silicon photocell OPUS is connected to the preamplifier TLC27L4, and the microcontroller AT89C52 controls the sample-and-hold LF398 to work and start the A / D TLC2543 conversion. The conversion result is read and recorded.
  • the micro-controller drives the light source LS to emit light, and saves the A / D conversion value detected by OPUS to the memory chip 6264.
  • LEDs in the probe in the device of the present invention there are three LEDs in the probe in the device of the present invention.
  • the wavelength selection is slightly different.
  • the muscle blood oxygen detection is 700 / 880nm and the head is 780nm / 840 nm.
  • the head is 780nm / 840 nm.
  • 700/880 and 780nm / 840 nm component LEDs In order not to cause any damage to biological tissues Damage, LED light power should be less than 10ml
  • the system signal flow can be summarized as: (1) the microcontroller sends a control signal to the LS drive unit, 3 LEDs emit light in sequence; (2) the light is organized (5 ⁇ , 6 ⁇ 2 in Figure 2) 7T3) Emitted from the detection site (3) OPUS detection light intensity is connected to the preamplifier (4) 1 sample-and-hold sample and hold the signal, the A / D converter performs conversion, and the conversion result is read by the microcontroller Saved in SRAM. (5) The local tissue oxygen saturation rS02 is calculated and displayed by the microcontroller.
  • FIG. 8A is a graph showing rS02 results of a normal baby detected by the detection method of the present invention
  • FIG. 8B is a graph showing rS02 results of a child detected by the detection method of the present invention
  • FIG. 8D is a graph of the results of testing the rS02 of the blood model using the detection methods in the prior art.
  • the invention is used to test the oxygen inhalation process, tissue oxygen saturation and change process of normal infants and infants with encephalopathy in a quiet state. After Aspin-Welch test, the difference between normal and children was significant (P ⁇ 0.005). Calculate the hemoglobin of the normal baby's head (the test site is the forehead) in the quiet state is 89 ii mol / L, and the results are shown in Figures 9A-9B.
  • the blood oxygen parameters under increasing load exercise were detected to obtain the comprehensive blood oxygen parameter oxy.
  • the applied load is set by the setting device of the power bicycle, and an incremental load of 0-50 W-100W is used, and the result is shown in FIG. 10.

Landscapes

  • Health & Medical Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Physics & Mathematics (AREA)
  • General Health & Medical Sciences (AREA)
  • Pathology (AREA)
  • Molecular Biology (AREA)
  • Chemical & Material Sciences (AREA)
  • Veterinary Medicine (AREA)
  • Public Health (AREA)
  • Animal Behavior & Ethology (AREA)
  • Spectroscopy & Molecular Physics (AREA)
  • General Physics & Mathematics (AREA)
  • Immunology (AREA)
  • Biophysics (AREA)
  • Engineering & Computer Science (AREA)
  • Biomedical Technology (AREA)
  • Heart & Thoracic Surgery (AREA)
  • Medical Informatics (AREA)
  • Analytical Chemistry (AREA)
  • Surgery (AREA)
  • Biochemistry (AREA)
  • Physiology (AREA)
  • Cardiology (AREA)
  • Optics & Photonics (AREA)
  • Medicinal Chemistry (AREA)
  • Pharmacology & Pharmacy (AREA)
  • Epidemiology (AREA)
  • Measurement Of The Respiration, Hearing Ability, Form, And Blood Characteristics Of Living Organisms (AREA)

Abstract

L'invention concerne un procédé pour mesurer les paramètres du métabolisme d'oxygène du sang dans un tissu humain. Le procédé comprend les stades suivants: au moins trois sources lumineuses (1, 2, 3), placées dans des positions différentes d'un tissu local (5, 6, 7), émettent la lumière tour à tour; une intensité (Ikr) de la lumière émise par au moins une des sources lumineuses (1, 2, 3) et diffusée par le tissu local et détectée par un photodétecteur (4), placé sur le tissu local, respectivement; l'oxygène de saturation (rSO2), l'oxyhémoglobine (HbO2(ti)), la désoxyhémoglobine (Hb(ti)) et le paramètre (oxy), utilisé pour évaluer la capacité des muscles en matière de métabolisme d'oxygène peut être obtenu par le traitement de l'intensité lumineuse. L'invention concerne également un appareil pour mesurer le paramètre du métabolisme de l'oxygène du sang dans un tissu humain.
PCT/CN2004/001301 2003-11-14 2004-11-15 Appareil es procede pour mesurer le parametre du metabolisme d'oxygene du sang dans un tissu humain WO2005099564A1 (fr)

Applications Claiming Priority (4)

Application Number Priority Date Filing Date Title
CN200310113534.7 2003-11-14
CN 200310113534 CN1223843C (zh) 2003-11-14 2003-11-14 吸氧刺激下新生儿脑局部组织氧饱和度的检测方法
CN200310115396.6 2003-11-21
CN 200310115396 CN1223858C (zh) 2003-11-21 2003-11-21 骨骼肌代谢功能血运参数近红外组织无损检测方法

Publications (1)

Publication Number Publication Date
WO2005099564A1 true WO2005099564A1 (fr) 2005-10-27

Family

ID=35149725

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/CN2004/001301 WO2005099564A1 (fr) 2003-11-14 2004-11-15 Appareil es procede pour mesurer le parametre du metabolisme d'oxygene du sang dans un tissu humain

Country Status (2)

Country Link
KR (1) KR100823977B1 (fr)
WO (1) WO2005099564A1 (fr)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108577858A (zh) * 2018-04-08 2018-09-28 博联众科（武汉）科技有限公司 一种组织血氧饱和度监测部位的自动判断方法和系统

Families Citing this family (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP4077024B1 (ja) * 2007-07-13 2008-04-16 俊仁 勝村 運動負荷量測定装置

Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US4114604A (en) * 1976-10-18 1978-09-19 Shaw Robert F Catheter oximeter apparatus and method
US5524617A (en) * 1995-03-14 1996-06-11 Nellcor, Incorporated Isolated layer pulse oximetry
US5632273A (en) * 1994-02-04 1997-05-27 Hamamatsu Photonics K.K. Method and means for measurement of biochemical components
JPH11169361A (ja) * 1997-12-09 1999-06-29 Hitachi Ltd 生体光計測装置
CN1331953A (zh) * 2001-08-03 2002-01-23 天津大学 新生儿脑血氧检测传感器
CN1335756A (zh) * 1998-12-01 2002-02-13 克里蒂凯尔系统公司 直接数字式血氧计和用来计算氧合值的方法
CN1365649A (zh) * 2002-02-26 2002-08-28 南开大学 脑血氧饱和度捡测仪
US6622095B2 (en) * 1999-11-30 2003-09-16 Nihon Kohden Corporation Apparatus for determining concentrations of hemoglobins

Family Cites Families (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2003265440A (ja) * 2002-03-12 2003-09-24 Matsushita Electric Ind Co Ltd 光式皮下脂肪厚測定方法、光式皮下脂肪厚測定装置

Patent Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US4114604A (en) * 1976-10-18 1978-09-19 Shaw Robert F Catheter oximeter apparatus and method
US5632273A (en) * 1994-02-04 1997-05-27 Hamamatsu Photonics K.K. Method and means for measurement of biochemical components
US5524617A (en) * 1995-03-14 1996-06-11 Nellcor, Incorporated Isolated layer pulse oximetry
JPH11169361A (ja) * 1997-12-09 1999-06-29 Hitachi Ltd 生体光計測装置
CN1335756A (zh) * 1998-12-01 2002-02-13 克里蒂凯尔系统公司 直接数字式血氧计和用来计算氧合值的方法
US6622095B2 (en) * 1999-11-30 2003-09-16 Nihon Kohden Corporation Apparatus for determining concentrations of hemoglobins
CN1331953A (zh) * 2001-08-03 2002-01-23 天津大学 新生儿脑血氧检测传感器
CN1365649A (zh) * 2002-02-26 2002-08-28 南开大学 脑血氧饱和度捡测仪

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108577858A (zh) * 2018-04-08 2018-09-28 博联众科（武汉）科技有限公司 一种组织血氧饱和度监测部位的自动判断方法和系统
CN108577858B (zh) * 2018-04-08 2023-12-19 博联众科（武汉）科技有限公司 一种组织血氧饱和度监测部位的自动判断方法和系统

Also Published As

Publication number Publication date
KR100823977B1 (ko) 2008-04-22
KR20060124616A (ko) 2006-12-05

Similar Documents

Publication Publication Date Title
TW581867B (en) Devices for physiological fluid sampling and methods of using the same
Schnettler et al. Pulse oximetry as a diagnostic tool of pulpal vitality
Zourabian et al. Trans-abdominal monitoring of fetal arterial blood oxygenation using pulse oximetry
Boas et al. Can the cerebral metabolic rate of oxygen be estimated with near-infrared spectroscopy?
US20160022223A1 (en) Multi-modal depth-resolved tissue status monitor
CN112043287B (zh) 一种脑血氧无创监测方法及监测装置
JP2562894B2 (ja) 診断装置
CN102488525B (zh) 一种去血氧波动干扰的肝储备功能检测装置
TW201249403A (en) Concentration-measurement device and concentration-measurement method
CN111683597A (zh) 用于非侵入式地监测血红蛋白的系统和方法
JP2007105323A (ja) 代謝量測定装置
Ranger et al. Cerebral Near‐Infrared Spectroscopy as a Measure of Nociceptive Evoked Activity in Critically III Infants
US20150217056A1 (en) Therapy systems and methods utilizing tissue oxygenation detection
CN108577860A (zh) 人体组织血红蛋白浓度指数的近红外无创检测方法
CN1223843C (zh) 吸氧刺激下新生儿脑局部组织氧饱和度的检测方法
CA2175178A1 (fr) Systeme non invasif pour doser la bilirubine
Gupta et al. Design and development of pulse oximeter
US20080033263A1 (en) Method and system for determining the contribution of hemoglobin and myoglobin to in vivo optical spectra
Casavola et al. Application of near‐infrared tissue oxymetry to the diagnosis of peripheral vascular disease
US20220117525A1 (en) Sensor and system for neonatal jaundice monitoring and management
WO2005099564A1 (fr) Appareil es procede pour mesurer le parametre du metabolisme d'oxygene du sang dans un tissu humain
Li Pulse oximetry
CN112806992B (zh) 自适应空间分辨光谱的组织氧饱和度监测系统及方法
CN105105763A (zh) 安全易用的血氧饱和度检测装置
Selsiya et al. Non-Invasive Blood Glucose Measurement Using Ire Sensor

Legal Events

Date Code Title Description
AK Designated states

Kind code of ref document: A1

Designated state(s): AE AG AL AM AT AU AZ BA BB BG BR BW BY BZ CA CH CN CO CR CU CZ DE DK DM DZ EC EE EG ES FI GB GD GE GH GM HR HU ID IL IN IS JP KE KG KP KR KZ LC LK LR LS LT LU LV MA MD MG MK MN MW MX MZ NA NI NO NZ OM PG PH PL PT RO RU SC SD SE SG SK SL SY TJ TM TN TR TT TZ UA UG US UZ VC VN YU ZA ZM ZW

AL Designated countries for regional patents

Kind code of ref document: A1

Designated state(s): BW GH GM KE LS MW MZ NA SD SL SZ TZ UG ZM ZW AM AZ BY KG KZ MD RU TJ TM AT BE BG CH CY CZ DE DK EE ES FI FR GB GR HU IE IS IT LU MC NL PL PT RO SE SI SK TR BF BJ CF CG CI CM GA GN GQ GW ML MR NE SN TD TG

DPEN Request for preliminary examination filed prior to expiration of 19th month from priority date (pct application filed from 20040101)
DPEN Request for preliminary examination filed prior to expiration of 19th month from priority date (pct application filed from 20040101)
121 Ep: the epo has been informed by wipo that ep was designated in this application
WWE Wipo information: entry into national phase

Ref document number: 1020067011264

Country of ref document: KR

WWP Wipo information: published in national office

Ref document number: 1020067011264

Country of ref document: KR

122 Ep: pct application non-entry in european phase