WO2020130175A1 - Système de correction basé sur le positionnement d'informations biométriques non invasif et procédé faisant appel à de multiples capteurs - Google Patents

Système de correction basé sur le positionnement d'informations biométriques non invasif et procédé faisant appel à de multiples capteurs Download PDF

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Publication number
WO2020130175A1
WO2020130175A1 PCT/KR2018/016168 KR2018016168W WO2020130175A1 WO 2020130175 A1 WO2020130175 A1 WO 2020130175A1 KR 2018016168 W KR2018016168 W KR 2018016168W WO 2020130175 A1 WO2020130175 A1 WO 2020130175A1
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light source
value
information
bio
invasive
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PCT/KR2018/016168
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English (en)
Korean (ko)
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박현문
이성철
박원기
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전자부품연구원
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    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/0059—Measuring for diagnostic purposes; Identification of persons using light, e.g. diagnosis by transillumination, diascopy, fluorescence
    • A61B5/0075—Measuring for diagnostic purposes; Identification of persons using light, e.g. diagnosis by transillumination, diascopy, fluorescence by spectroscopy, i.e. measuring spectra, e.g. Raman spectroscopy, infrared absorption spectroscopy
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • 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
    • 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
    • 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
    • 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
    • A61B5/7225—Details of analog processing, e.g. isolation amplifier, gain or sensitivity adjustment, filtering, baseline or drift compensation

Definitions

  • the present invention relates to a non-invasive biometric information-based correction system and method using multiple sensors.
  • non-invasive technology is not only used by IT companies such as Apple, Google, and Samsung, but also medical leaders such as Medtronics, Dexcom, GE, and Philips, as well as companies such as GlucoTrack, KlucoWage, and CNOGA Medical. Research and development of invasive medical devices have been actively conducted.
  • the light-based non-invasive field has been continuously researching a wide range of wavelengths, such as 580 ⁇ 900nm, 850 ⁇ 1380nm, since the early 2000s. And recently, the reliability has been increased by using a plurality of light sources having a wide wavelength band. However, since the complexity of post-processing is increased due to noise reduction between measured data, there is a need for a narrow-band-based multiple light source processing technology capable of minimizing noise.
  • the noise which has the greatest influence on the measurement and analysis problems, is dependent on the thickness and characteristics of the skin, which vary from person to person. In the past, many studies using information measured by human fingers and ear balls have been conducted, but a separate study for correcting the aforementioned noises is very insufficient.
  • one of the fastest methods is a method of verifying the deviation using a light source made of a recent MEMS LED Array. .
  • MEMS LED Arrays have different specificities such as individual LED wavelength length, narrowband range, and lens characteristics for each manufacturer, and the photodiode of the receiver also has specificity according to the manufacturer. A calibration method through verification is required. In addition, there is a problem that the blood glucose level is not constantly measured according to the amount of other components in the blood.
  • bioinformation in a user's blood is measured based on a voltage value measured from multiple sensors based on transmissive and reflective methods, and the output voltage of multiple sensors is based on a result of comparison with previously prepared non-invasive data.
  • a non-invasive biometric information-based correction system and method capable of correcting a value.
  • a non-invasive biometric information-based correction system using multiple sensors includes transmission and reflection-based multiple sensors, and measurements received from the multiple sensors.
  • a bio-information measurement unit that measures bio-information in a user's blood based on a voltage value, and a correction unit that compares the measured bio-information with previously prepared invasive data to calculate a correction value for correcting the output voltage of the multiple sensors
  • an output unit that increases or decreases the output voltage of the multiple sensors based on the calculated correction value.
  • the multi-sensor is disposed on the other side of the first light source array sensor, the first light source array sensor based on the transmissive type, the light source is arranged to penetrate the user's skin, and in the first light source array sensor A first photo array sensor that receives the light source that is output and transmitted through the skin, and is arranged to be spaced apart from the second light source array sensor and the second light source array sensor based on the reflective type, the light source being arranged to reflect the skin of the user And a second photo array sensor that receives a light source reflected from the skin and output from the second light source array sensor, wherein the output unit increases or decreases the output voltage of the first light source array sensor based on the correction value. It may include a first output unit and a second output unit for increasing or decreasing the output voltage of the second light source array sensor.
  • the bio-information measuring unit measures hemoglobin value in the blood with the bio-information based on the received voltage value respectively measured through the first and second photo array sensors, and converts the hemoglobin value in the blood into a glucose value based on the hemoglobin value. Can.
  • the bio-information measurement unit may measure the hemoglobin value with the bio-information by analyzing a difference in light variation due to absorption of electromagnetic waves of at least three wavelengths from the received voltage values from the first and second photo array sensors.
  • the bio-information measurement unit may measure the hemoglobin value by analyzing a fluorescence spectrum from the received voltage value.
  • the bio-information measurement unit may measure the hemoglobin value by analyzing the fluorescence spectrum based on the received power signal using Raman spectrum and via spectrum techniques.
  • the bio-information measurement unit may remove elements other than the hemoglobin value and the glucose value from among the bio-information that can be calculated from the measured received voltage value of hemoglobin that reacts according to light in plasma and blood cells that are variously composed in blood. have.
  • the correction unit may calculate a correction value of one or more output voltages of the first and second light source array sensors by comparing the previously prepared invasive data, hemoglobin value, glucose value, and the glucose value obtained by the bioinformation measurement unit. have.
  • the correction unit may calculate a correction value for correcting one or more optical wavelength timings of the first and second light source arrays in addition to the correction value of the output voltage based on the comparison result.
  • the method for locating non-invasive biometric information using multiple sensors includes measuring voltage-based biometric information through transmissive and reflective based light and photodiode based multiple sensors; Comparing the measured bio-information with previously prepared invasive data; And increasing or decreasing the output voltage of the multiple sensors based on the comparison result.
  • the step of measuring the voltage-based bio-information through the transmissive and reflective-based multi-sensors is received by the first photo array sensor as the light source in the transmissive-based first light source array sensor penetrates the user's skin. Being a step; Receiving light from a second photo array sensor as the light source from the reflection-based second light source array sensor is reflected from the user's skin; Measuring hemoglobin values in the blood with the bio-information based on the received voltage values respectively measured by the first and second photo array sensors; Controlling reaction factors other than the heloglobin value in the blood; Finally, it may include the step of converting to a glucose value based on the hemoglobin value.
  • the step of increasing or decreasing the output voltage of the multiple sensors based on the comparison result may include comparing the first and second hemoglobin values, glucose values, and glucose values converted based on the hemoglobin values, which are the invasive data prepared in advance. Calculating a correction value of one or more output voltages of the second light source array sensors; And increasing or decreasing the output voltage of one or more of the first and second light source array sensors based on the calculated correction value.
  • accurate light transmission, absorption, and transmittance can be expected by performing an output voltage correction process of multiple sensors in order to control the intensity of a light source optimized for the skin.
  • 1 is a view for explaining a relationship between a reflective light source and skin characteristics.
  • FIG. 2 is a block diagram of a non-invasive biometric information-based correction system according to an embodiment of the present invention.
  • 3 is a view for explaining multiple sensors.
  • FIG. 4A is an exemplary view for explaining the absorption rate of the transmissive light source
  • FIG. 4B is an exemplary diagram for explaining the reaction frequency by the reflective light source.
  • 5 is a block diagram for explaining the correction unit and the output unit.
  • FIG. 6 is a flow chart of a non-invasive biometric information positioning method according to an embodiment of the present invention.
  • 1 is a view for explaining a relationship between a reflective light source and skin characteristics.
  • the refractive index of the subcutaneous tissue and the thickness in the epidermis have a great influence on the measurement result.
  • the intensity of the light source (P1) is transmitted through the epidermis to enable the analysis of capillaries and arterioles of the papillary dermis in the dermis. It is most important to control.
  • the transmission rate of the small arteries can be confirmed through the transmission formula.
  • the refractive index of the subcutaneous tissue and the thickness in the epidermis have a great influence on the measurement result. Therefore, in order to know the accurate light transmission and absorption, the tissue has transparency to overcome the noise of the epidermis.
  • the intensity of the optimized light source P1, which does not affect, is important.
  • An embodiment of the present invention is a non-invasive composite bio-information positioning technique using multiple light sources, a MOSFET-based voltage and current circuit in which a plurality of LEDs are connected with a feedback circuit of an LED light source array and a photodiode in consideration of the reflective and transmissive methods. Through this, it is possible to control the output voltage and provide a correction method of the LED light source array by adjusting the generation cycle through PWM.
  • an embodiment of the present invention is characterized in that it is possible to non-invasively measure glucose and hemoglobin for body parts such as fingers in contact with a certain instrument and correct the output voltage for the measurement.
  • FIGS. 2 to 5 a non-invasive biometric information based correction system 100 according to an embodiment of the present invention will be described with reference to FIGS. 2 to 5.
  • FIG. 2 is a block diagram of a non-invasive biometric information based correction system 100 according to an embodiment of the present invention.
  • 3 is a diagram for explaining multiple sensors 110.
  • the non-invasive biometric information based correction system 100 includes a multi-sensor 110, a biometric information measurement unit 120, a correction unit 130, and an output unit 140.
  • the multi-sensor 110 is composed of a transmission-based sensor and a reflection-based sensor, specifically, the first and second light source array sensors 111 and 115, and the first and second photo array sensors 113 and 117 It may include.
  • the first light source array sensor 111 is arranged such that the light source penetrates the user's skin on a transmissive basis.
  • the first photo array sensor 113 is disposed at regular intervals in a vertical direction on the other side facing the one surface of the first light source array sensor 111, and is output from the first light source array sensor 111 to accurately skin, The light source transmitted through the blood vessel is received.
  • the second light source array sensor 115 is disposed on a reflective basis so that the light source reflects the user's skin.
  • the second photo array sensor 117 is arranged to be spaced apart from the second light source array sensor 115 in a horizontal direction at regular intervals, and receives the light output from the second light source array sensor 115 and reflected from the skin, and precisely blood vessels. do.
  • the first and second light source array sensors 111 and 115 may be composed of LED elements capable of generating three or more wavelengths in the range of 480 nm to 1380 nm, for example, IR, RED, GREEN, ORANGE, etc. It can be composed of LED elements.
  • first and second light source array sensors 111 and 115 may be provided with a configuration for condensing the generated light sources, for example, a predetermined optical system for focusing the light sources.
  • the light source generated from the LED may be condensed in the light collecting part and incident on a certain part of the finger through the hole of the device in contact with the finger.
  • the incident light sources are scattered and reflected by blood components in the user's body part.
  • the transmitted or reflected light source is collected from the light receiving unit in the form of a predetermined optical system and transmitted to the first and second photo array sensors 113 and 117.
  • the photo array sensor is an individual light-receiving photo sensor that can measure 580nm, 640nm, 830nm, 880nm, 940nm, etc. that match individual narrow-band LED light sources. It is a group of receiving sensors composed of a number of subordinates.
  • the first and second photo array sensors 113 and 117 may receive light sources from the first and second light source array sensors 111 and 115 in a predetermined unit.
  • the first and second photo-array sensors 113 and 117 may be composed of three or more types of photo diodes to correspond to the first and second light source array sensors 111 and 115.
  • first and second photo array sensors 113 and 117 may generate a fluorescence spectrum through a reaction of an electric signal for each light source by spectralizing the received light source, and using the predetermined sensing means It can sense and convert it into a constant electrical signal.
  • an analog type electrical signal can be converted into a digital signal, expressed as a voltage value having an accurate level value, and provided to a biological information measuring unit described below for each wavelength.
  • the first and second photo array sensors 113 and 117 may include or separately include a configuration for converting the corresponding analog value to a digital value.
  • the bio-information measurement unit 120 is configured to display bio-information in the user's blood based on the received voltage values measured from the first and second photo arrays 113 and 117, respectively, before and after pressure is applied to the user's body. Measure.
  • the bio-information measuring unit 120 is based on the received voltage value measured through the first photo array sensor 113 and the wavelength of the light reflection coefficient due to absorption of the light source at the user's first body part. By analyzing the degree of change, the hemoglobin value in the blood is measured by bioinformation.
  • the light source is transmitted to and reflected from the user's second body part based on the received voltage value measured by the second photo array sensor 117 and analyzes the change in the amount of polarization of the light to obtain blood as biometric information.
  • the hemoglobin value at is measured.
  • hemoglobin values measured as described above may be averaged or converted to glucose values using weight analysis.
  • the bio-information measurement unit 120 analyzes the degree of reception according to the light source wavelength from the received voltage value by the transmitted or reflected light source through the fluorescence spectrum, and analyzes the intensity of the fluorescence spectrum, the Raman spectrum, and the via spectrum. Hemoglobin values in the blood can be measured.
  • FIG. 4A is an exemplary view for explaining the absorption rate of the transmissive light source
  • FIG. 4B is an exemplary diagram for explaining the reaction frequency by the reflective light source.
  • blood is filled in blood vessels at the bottom contacting the finger contact mechanism.
  • glucose and hemoglobin In addition to glucose and hemoglobin, water, red blood cells, white blood cells, electrolytes, and cholesterol are present in the blood.
  • the value of the spectral current is determined by the Ramam characteristic in which the molecules of the fluorescence spectrum received by the light source array sensor are scattered by the light source due to the light source array sensor. It varies by wavelength.
  • a plurality of light sources between 480nm and 1380nm of the projected light source array sensor analyzes the scattering of the hemoglobin as the main component by the reaction frequency of light to the main component of the white blood cells in the blood vessel, and various components of the red blood cells are wavelengths in the light.
  • the light-frequency component including the glucose component is scattered, so that the blood glucose level can be predicted through Raman analysis that appears at a specific wavelength.
  • the bio-information measurement unit 120 designates and removes the remaining elements excluding hemoglobin and glucose values from the bio-information that can be calculated from the measured received voltage value of red blood cells in the blood as a negative factor, thereby removing the hemoglobin value from the blood and Glucose values can be measured more accurately.
  • the bio-information measurement unit 120 accurately measures the hemoglobin value and glucose value by analyzing absorption and reflection differences of light wavelengths of at least three wavelengths from the received voltage values from the first and second photo array sensors 113 and 117 can do.
  • the wavelength of the electromagnetic waves used before and after the pressure is applied to the user's body part may be within 1380 nm, and the upper light source frequency band is excluded because it may affect the cellular tissue inside the human body.
  • the bio-information measurement unit 120 may predict blood glucose level by analyzing a Raman spectrum that is scattered about glucose and dissolved oxygen components in blood vessels in the fluorescence spectrum and largely displayed at a corresponding wavelength.
  • the correction unit calculates a correction value for correcting the output voltage of the multi-sensor 110 by comparing the bio-information measured by the bio-information measurement unit 120 with the invasive data D1 prepared in advance.
  • an embodiment of the present invention uses the multiple sensors 110 to measure the exact glucose value and hemoglobin value, and at the same time, based on the hemoglobin value and glucose value measured by invasion with the invasive data D1 prepared in advance. It can be used as a value.
  • the invasive data (D1) may be measured and input by a blood glucose meter, a glucose meter, etc. in advance, and an embodiment of the present invention may be prepared only once or only if necessary for the invasive data (D1) repeatedly It is different from the conventional invasive technology in that it is not required.
  • the compensator 130 compares the hemoglobin value, glucose value, and the hemoglobin value and glucose value obtained by the bioinformation measurement unit 120, which are pre-prepared invasive data D1, to the first light source array sensor 111 and A correction value for correcting one or more output voltages of the second light source array sensor 115 is calculated.
  • the correction unit 130 additionally calculates and outputs a correction value for correcting the timing of at least one of the first and second light source arrays 111 and 115 along with the correction value of the output voltage based on the comparison result. It can be provided to the unit 140.
  • the output unit 140 controls to increase or decrease the output voltage of the multiple sensors 110 based on the correction values calculated by the correction unit 130.
  • the output unit 140 is based on the correction value. It may be composed of a first output unit 141 to increase or decrease the output voltage of the first light source array sensor 111, and a second output unit 143 to increase or decrease the output voltage of the second light source array sensor 115. .
  • the first and second light source array sensors 111 and 115 are driven according to the corrected output voltage, and when measurement results are provided to the correcting unit 130, the correcting unit 130 re-invasive data D1 ), it is possible to determine whether to perform an additional correction process.
  • the light source array sensors 111 and 115, the photo array sensors 113 and 117, and the output unit 140 are not necessarily composed of only two pairs, and can be expanded to various numbers as necessary. It is possible.
  • 5 is a block diagram illustrating the correction unit 130 and the output unit 140.
  • the compensator 130 corrects the output voltage of one or more of the first and second light source array sensors 111 and 115 by comparing the invasive data D1 prepared in advance and the value measured by the bio-information measuring unit 120.
  • a correction value for correction and a correction value for correcting the optical wavelength timing may be calculated, and for this, an LED control unit 131 and an optical wavelength timing control unit 132 may be included.
  • the optical wavelength timing control unit 132 transmits the calculated optical wavelength timing correction value to the LED control unit 131, and the LED control unit 131 includes the optical wavelength timing information and the output voltage information in the correction values, so that the first and second output units ( 141, 143).
  • the received first and second output units 141 and 143 receive digital signal-based correction values and convert them into analog signals for driving LEDs, and the first and second light source array sensors through the LED driving driver ( 111, 115) and the timing of the optical wavelength can be controlled.
  • components such as the bio-information measurement unit 120 and the correction unit 130 may include a memory and a processor that executes a program stored in the memory.
  • the memory refers to a non-volatile storage device and a volatile storage device that keep the stored information even when power is not supplied.
  • the memory may be a compact flash (CF) card, secure digital (SD) card, memory stick, solid-state drive (SSD), micro SD card, or the like.
  • CF compact flash
  • SD secure digital
  • SSD solid-state drive
  • micro SD micro SD
  • a magnetic computer storage device such as a NAND flash memory, a hard disk drive (HDD), and an optical disc drive such as a CD-ROM, DVD-ROM, or the like.
  • FIGS. 2 and 5 may be implemented in software or in a hardware form such as a field programmable gate array (FPGA) or an application specific integrated circuit (ASIC). Roles can be played.
  • FPGA field programmable gate array
  • ASIC application specific integrated circuit
  • each component may be configured to be in an addressable storage medium or may be configured to reproduce one or more processors.
  • a component is a component, such as software components, object-oriented software components, class components and task components, processes, functions, attributes, procedures, sub Includes routines, segments of program code, drivers, firmware, microcode, circuitry, data, database, data structures, tables, arrays and variables.
  • FIG. 6 is a flow chart of a non-invasive biometric information positioning method according to an embodiment of the present invention.
  • voltage-based biometric information is measured through multiple sensors 110 based on transmissive and reflective (S110).
  • the light source in the first light source array sensor based on the transmissive light is received by the first photo array sensor as it passes through the user's skin, and the light source in the light source array sensor based on the reflection type is the user.
  • the light is received by the second photo array sensor as it is reflected from the skin.
  • hemoglobin values in the blood may be measured as bioinformation based on the received voltage values respectively measured through the first and second photo array sensors, and the biomolecule information may be measured by converting the measured hemoglobin values into glucose values.
  • the measured bio-information is compared with previously prepared invasive data D1 (S120), and the output voltage of the multiple sensors 110 is increased or decreased based on the comparison result (S130).
  • one embodiment of the present invention is a process of calibrating the output voltage, and compares the hemoglobin value, glucose value, which is the invasive data D1, which is prepared in advance, and the glucose value obtained as a result of the measurement.
  • a correction value of the above output voltage may be calculated, and one or more output voltages of the first and second light source array sensors may be increased or decreased based on the calculated correction value.
  • steps S110 to S130 may be further divided into additional steps or combined into fewer steps according to an embodiment of the present invention.
  • some steps may be omitted if necessary, and the order between the steps may be changed.
  • the contents already described with respect to the non-invasive biometric information positioning-based correction system 100 in FIGS. 1 to 5 are also applied to the non-invasive biometric information positioning method of FIG. 6.
  • Computer readable media can be any available media that can be accessed by a computer and includes both volatile and nonvolatile media, removable and non-removable media.
  • Computer readable media may include both computer storage media and communication media.
  • Computer storage media includes both volatile and nonvolatile, removable and non-removable media implemented in any method or technology for storage of information such as computer readable instructions, data structures, program modules or other data.
  • Communication media typically includes computer readable instructions, data structures, program modules, or other data in a modulated data signal such as a carrier wave, or other transport mechanism, and includes any information delivery media.

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Abstract

La présente invention concerne un système de correction basé sur le positionnement d'informations biométriques non invasif faisant appel à de multiples capteurs qui comprend : des capteurs multiples se basant sur la transmission et la réflexion ; une unité de mesure d'informations biométriques pour mesurer des informations biométriques à partir du sang d'un utilisateur sur la base d'une valeur de tension de réception mesurée par les multiples capteurs ; une unité de correction pour comparer les informations biométriques mesurées à des données invasives préparées et calculer une valeur de correction pour corriger une tension de sortie des multiples capteurs ; et une unité de sortie pour augmenter ou diminuer la tension de sortie des multiples capteurs sur la base de la valeur de correction calculée.
PCT/KR2018/016168 2018-12-18 2018-12-19 Système de correction basé sur le positionnement d'informations biométriques non invasif et procédé faisant appel à de multiples capteurs WO2020130175A1 (fr)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113476043A (zh) * 2021-07-01 2021-10-08 深圳亿杉医疗科技有限公司 一种非侵入式传感装置及检测方法、检测仪

Families Citing this family (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR102348195B1 (ko) 2021-04-22 2022-01-07 주식회사 바리센 광학적 피분석물 모니터링 시스템 및 방법
KR102348196B1 (ko) 2021-05-12 2022-01-07 주식회사 바리센 피하삽입장치를 이용한 광학적 피분석물 모니터링 방법 및 시스템
KR102614602B1 (ko) * 2021-05-20 2023-12-19 주식회사 아이센스 비침습 생체정보의 교정 방법
KR102681358B1 (ko) * 2023-01-17 2024-07-04 주식회사 뷰텔 온도를 반영하여 포도당을 보정하는 비침습 포도당 측정 장치 및 방법
KR102681360B1 (ko) * 2023-01-18 2024-07-04 주식회사 뷰텔 온도를 반영하여 포도당을 측정하는 비침습 포도당 측정 장치 및 방법

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6309884B1 (en) * 1997-02-26 2001-10-30 Diasense, Inc. Individual calibration of blood glucose for supporting noninvasive self-monitoring blood glucose
JP2005519683A (ja) * 2002-03-08 2005-07-07 センシス メディカル インク 代替部位ブドウ糖定量を使用して非侵襲的アナライザおよび埋め込み型アナライザの較正および保守を行う方法および装置
KR100694598B1 (ko) * 2005-10-28 2007-03-13 삼성전자주식회사 혈당 측정에서 헤모글로빈의 영향을 보상하는 비침습적생체 측정 시스템 및 방법
KR20130094858A (ko) * 2011-01-24 2013-08-26 가부시키가이샤 액트 메디컬 서비스 혈관 맥파 측정 시스템
KR20180055376A (ko) * 2016-11-17 2018-05-25 삼성전자주식회사 생체 정보 추정 장치 및 방법

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6309884B1 (en) * 1997-02-26 2001-10-30 Diasense, Inc. Individual calibration of blood glucose for supporting noninvasive self-monitoring blood glucose
JP2005519683A (ja) * 2002-03-08 2005-07-07 センシス メディカル インク 代替部位ブドウ糖定量を使用して非侵襲的アナライザおよび埋め込み型アナライザの較正および保守を行う方法および装置
KR100694598B1 (ko) * 2005-10-28 2007-03-13 삼성전자주식회사 혈당 측정에서 헤모글로빈의 영향을 보상하는 비침습적생체 측정 시스템 및 방법
KR20130094858A (ko) * 2011-01-24 2013-08-26 가부시키가이샤 액트 메디컬 서비스 혈관 맥파 측정 시스템
KR20180055376A (ko) * 2016-11-17 2018-05-25 삼성전자주식회사 생체 정보 추정 장치 및 방법

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113476043A (zh) * 2021-07-01 2021-10-08 深圳亿杉医疗科技有限公司 一种非侵入式传感装置及检测方法、检测仪

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