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KR-102963186-B1 - APPARATUS AND METHOD FOR ESTIMATING TARGET COMPONENT

KR102963186B1KR 102963186 B1KR102963186 B1KR 102963186B1KR-102963186-B1

Abstract

The present invention relates to a device for non-invasively estimating a target component based on an optical spectrum. A device for estimating a target component according to one embodiment may include a sensor unit for acquiring a spectrum of light scattered or reflected from a subject, a processor for acquiring a second reflectance by correcting a first reflectance of the spectrum based on a Melanin Index, estimating a target component by converting the acquired second reflectance into absorbance, and correcting the estimated target component based on a Hemoglobin Index.

Inventors

  • 김윤재
  • 김상규
  • 문현석
  • 박진영
  • 안성모
  • 엄근선
  • 정명훈

Assignees

  • 삼성전자주식회사

Dates

Publication Date
20260508
Application Date
20201005

Claims (20)

  1. A sensor unit that acquires the spectrum of light scattered or reflected from a subject; Converting the first reflectance of the above spectrum into a first absorbance, Based on the above first absorbance, the Melanin Index and Hemoglobin Index are estimated, and Based on the above melanin index, the first reflectance of the spectrum is corrected to obtain the second reflectance, and The acquired second reflectance is converted into a second absorbance, and the target component is estimated using the converted second absorbance. It includes a processor that corrects the estimated target component based on the hemoglobin index, and The above processor Estimating the melanin index based on the weighted sum of the first absorbance at each wavelength of the second wavelength region, which is a predetermined wavelength region related to melanin, and Estimating the hemoglobin index based on the weighted sum of the first absorbance at each wavelength of the third wavelength region, which is a predetermined wavelength region related to hemoglobin, and Estimating the target component based on the weighted sum of the second absorbances at each wavelength of the first wavelength region, which is a predetermined wavelength region related to the target component. Target component estimation device.
  2. In paragraph 1, The above processor A target component estimation device that calculates a melanin correction value based on the above melanin index, reference melanin index, and correction ratio, and corrects the first reflectance using the calculated melanin correction value.
  3. In paragraph 2, The above correction ratio A target component estimation device including the rate of change of the first reflectance relative to the change of the melanin index.
  4. In paragraph 2, The above processor A target component estimation device that calculates the melanin correction value by multiplying the value obtained by subtracting the reference melanin index from the melanin index by the negative (-) value of the correction ratio.
  5. In paragraph 1, The above processor A target component estimation device that calculates a hemoglobin correction value based on the above hemoglobin index, reference hemoglobin index, and correction ratio, and corrects the above estimated target component using the calculated hemoglobin correction value.
  6. In paragraph 5, The above correction ratio A target component estimation device comprising the rate of change of the residual obtained by subtracting the trend line from the estimated target component relative to the change in the hemoglobin index.
  7. In paragraph 5, The above processor A target component estimation device that calculates a hemoglobin correction value by multiplying the value obtained by subtracting a reference hemoglobin index from the hemoglobin index by a predetermined ratio, and multiplying the result of the multiplication by the correction ratio.
  8. In paragraph 1, The above sensor unit A light source unit that irradiates light of a predetermined wavelength range onto a subject; and A target component estimation device comprising a spectroscopic unit that spectrally analyzes light scattered or reflected from the above-mentioned subject to obtain a spectrum.
  9. In paragraph 8, The above predetermined wavelength region is a target component estimation device including a visible light wavelength region.
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  13. In paragraph 1, The above sensor unit A first light source unit that irradiates light in a first wavelength range; A second light source unit that irradiates light in a second wavelength range; A third light source unit that irradiates light in a third wavelength region; and A target component estimation device comprising a detector that detects light scattered or reflected from a subject.
  14. In Paragraph 13, The above processor The second light source unit is driven to estimate the melanin index, and the third light source unit is driven to estimate the hemoglobin index. A target component estimation device that drives the first light source unit based on the above melanin index to correct the first reflectance of the detected spectrum and obtain a second reflectance.
  15. In Paragraph 13, A target component estimation device wherein the first wavelength region comprises 470 nm to 510 nm, the second wavelength region comprises 400 nm to 470 nm, and the third wavelength region comprises 530 nm to 590 nm.
  16. In Paragraph 13, The above detector is a target component estimation device comprising one or more of a photodiode, a CMOS image sensor, and a CCD image sensor.
  17. In paragraph 1, The above target component is A device for estimating target components including one or more of carotenoids, blood glucose, sugar intake, triglycerides, cholesterol, calories, protein, body fluids, body fluids, and uric acid.
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  20. Target component estimation device A step of acquiring the spectrum of light scattered or reflected from a subject; A step of converting the first reflectance of the above spectrum into a first absorbance; A step of estimating the Melanin Index and Hemoglobin Index based on the first absorbance; A step of obtaining a second reflectance by correcting the first reflectance of the acquired spectrum based on the above melanin index; A step of converting the acquired second reflectance into a second absorbance and estimating a target component using the converted second absorbance; and The method includes a step of correcting the estimated target component based on the hemoglobin index, and The step of estimating the above melanin index Estimating the melanin index based on the weighted sum of the first absorbance at each wavelength of the second wavelength region, which is a predetermined wavelength region related to melanin, and The step of estimating the hemoglobin index above Estimating the hemoglobin index based on the weighted sum of the first absorbance at each wavelength of the third wavelength region, which is a predetermined wavelength region related to hemoglobin, and The step of estimating the above target component Estimating the target component based on the weighted sum of the second absorbances at each wavelength of the first wavelength region, which is a predetermined wavelength region related to the target component. Method for estimating target components.

Description

Apparatus and Method for Estimating Target Component The present invention relates to an apparatus and method for non-invasively estimating a target component using a spectrum obtained from a subject. Recently, methods to non-invasively estimate components such as blood glucose and carotenoids using Raman spectroscopy or near-infrared spectroscopy techniques are being studied. Generally, the factors determining skin color include hemoglobin, carotene, and melanin. In particular, melanin absorbs a significant amount of light, leading to performance degradation, such as the signal-to-noise ratio (SNR), in spectrum-based sensors. In other words, since the absorbance spectrum reflects the influence of melanin pigment and hemoglobin—other components of skin color—accuracy may be reduced when reliably measuring components like carotenoids across people with diverse skin tones. FIG. 1 is a block diagram of a target component estimation device according to one embodiment. FIGS. 2a and 2b are drawings for explaining the configuration of a sensor unit according to embodiments. Figures 3a to 3d are diagrams illustrating the process of estimating target components. FIG. 4 is a block diagram of a target component estimation device according to another embodiment. FIG. 5 is a flowchart of a target component estimation method according to one embodiment. FIG. 6 is a flowchart of a target component estimation method according to another embodiment. FIG. 7 is a flowchart of a target component estimation method according to another embodiment. FIG. 8 illustrates a wearable device according to one embodiment. Specific details of other embodiments are included in the detailed description and drawings. The advantages and features of the described technology and the methods for achieving them will become clear by referring to the embodiments described in detail below together with the drawings. Throughout the specification, the same reference numerals refer to the same components. Terms such as "first," "second," etc., may be used to describe various components, but the components should not be limited by these terms. Terms are used solely for the purpose of distinguishing one component from another. A singular expression includes a plural expression unless the context clearly indicates otherwise. Furthermore, when a part is described as "comprising" a component, this means that, unless specifically stated otherwise, it does not exclude other components but may include additional components. Additionally, terms such as "...part," "module," etc., as used in the specification refer to a unit that performs at least one function or operation, which may be implemented in hardware or software, or as a combination of hardware and software. Hereinafter, embodiments of the target component estimation device and method will be described in detail with reference to the drawings. Various embodiments of the target component estimation device may include various types of wearable devices such as smartwatches worn on the wrist, smart bands, headphones, and headbands, mobile devices such as smartphones and tablet PCs, or professional medical institution systems. However, they are not limited to these examples. FIG. 1 is a block diagram of a target component estimation device according to one embodiment. Referring to FIG. 1, the target component estimation device (100) includes a sensor unit (110) and a processor (120). The sensor unit (110) may irradiate light onto a subject to estimate a target component from the subject and obtain a spectrum of light scattered or reflected from the subject (hereinafter referred to as the 'reflection spectrum'). The subject may be human skin tissue, for example, a radial artery area, the upper wrist where venous blood or capillary blood passes, fingers, etc. The processor (120) controls the sensor unit (110) and can estimate the target component based on the reflection spectrum obtained by the sensor unit (110). At this time, the target component includes, but is not limited to, carotenoids, blood glucose, sugar intake, triglycerides, cholesterol, calories, proteins, body fluids, body fluids, and uric acid. For convenience of explanation, carotenoids are used as examples if necessary. For example, the processor (120) can obtain absorbance based on the acquired reflection spectrum and estimate the target component based on the absorbance. At this time, since the absorbance spectrum reflects the influence of melanin pigment and hemoglobin, which are components of skin color, the influence of melanin and the influence of hemoglobin can be removed in the process of estimating carotenoids using the absorbance spectrum in order to stably estimate carotenoids from people of various skin colors. FIGS. 2a and 2b are drawings for explaining the configuration of a sensor unit according to embodiments. FIGS. 3a to 3d are drawings for explaining the process of estimating a target component of the processor (120) of FIG. 1.