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KR-102963180-B1 - APPARATUS AND METHOD FOR ESTIMATING BIO-INFORMATION

KR102963180B1KR 102963180 B1KR102963180 B1KR 102963180B1KR-102963180-B1

Abstract

A device for non-invasively measuring bio-information is presented. According to one embodiment, the bio-information estimation device may include a multi-channel pulse wave sensor that measures pulse wave signals at multiple points of a subject, and a processor that generates an oscillogram of each channel using the pulse wave signals measured at each channel, determines an optimal channel for estimating bio-information based on the generated oscillogram of each channel, and estimates bio-information using the oscillogram of the determined optimal channel.

Inventors

  • 박상윤
  • 임혜림
  • 최진우
  • 강재민

Assignees

  • 삼성전자주식회사

Dates

Publication Date
20260508
Application Date
20200805

Claims (20)

  1. A multi-channel pulse wave sensor that measures pulse wave signals at multiple points of a subject; and It includes a processor that generates an oscillogram of each channel using pulse wave signals measured at each channel, determines an optimal channel for estimating biometric information based on the generated oscillogram of each channel, and estimates biometric information using the oscillogram of the determined optimal channel. The above processor Among the oscillograms of each of the above channels, the channels of oscillograms that do not satisfy a predetermined criterion are excluded, and the optimal channel is determined using the oscillograms of the remaining channels. The above processor Excluding the corresponding channel if the FWHM (full width at half maximum) between the baseline and the halfway point of the oscillogram contact pressure is greater than or equal to a predetermined threshold. Biometric information estimation device.
  2. In paragraph 1, The above pulse sensor is A plurality of light sources that irradiate light onto a subject; and A bio-information estimation device comprising a light receiving unit positioned at a predetermined distance from each light source to detect light scattered or reflected from a subject.
  3. In paragraph 2, The above light receiving part A biometric information estimation device comprising at least one of a photodiode array and a CMOS image sensor.
  4. In paragraph 2, The above processor A bio-information estimation device that generates an oscillogram of each channel by subtracting a second oscillogram for a pulse wave signal of a second wavelength from a first oscillogram for a pulse wave signal of a first wavelength when irradiating light of multiple wavelengths in each channel.
  5. In paragraph 4, The above processor A bio-information estimation device that determines a difference coefficient according to a first wavelength and a second wavelength, applies the determined difference coefficient to a second oscillogram, and then differs the second oscillogram from the first oscillogram.
  6. In paragraph 1, The above processor A bio-information estimation device that obtains an estimated MAP (mean arterial pressure) of each channel using an oscillogram of each channel and determines the optimal channel based on the obtained estimated MAP of each channel.
  7. In paragraph 6, The above processor A bio-information estimation device that determines a predetermined number of channels as the optimal channels according to the order of the size of the estimated MAP of each of the above channels.
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  9. In paragraph 1, A bio-information estimation device further comprising a force sensor that measures the contact force acting between a subject and a pulse wave sensor while the above pulse wave signal is being measured.
  10. In Paragraph 9, A bio-information estimation device further comprising an area sensor that measures the contact area as the force applied by the subject to the pulse wave sensor increases or decreases.
  11. In paragraph 1, The above processor A bio-information estimation device that guides the contact pressure between a subject and a pulse wave sensor while the above pulse wave signal is being measured.
  12. In paragraph 1, The above biometric information is A bio-information estimation device comprising one or more of blood pressure, vascular age, degree of arteriosclerosis, aortic pressure waveform, vascular elasticity, stress index, fatigue level, skin age, and skin elasticity.
  13. Biometric information estimation device A step of measuring pulse wave signals at multiple points of a subject using a multi-channel pulse wave sensor; A step of generating an oscillogram of each channel using the pulse wave signal measured in each channel; A step of determining an optimal channel for estimating bio-information based on the oscillogram of each of the above channels; and It includes a step of estimating bio-information using an oscillogram of the optimal channel determined above, and The step of determining the optimal channel above Among the oscillograms of each of the above channels, the channels of oscillograms that do not satisfy a predetermined criterion are excluded, and the optimal channel is determined using the oscillograms of the remaining channels. The step of determining the optimal channel above Excluding the corresponding channel if the FWHM (full width at half maximum) between the baseline and the halfway point of the oscillogram contact pressure is greater than or equal to a predetermined threshold. Biometric information estimation method.
  14. In Paragraph 13, The step of generating an oscillogram for each of the above channels is A bio-information estimation method that generates an oscillogram of each channel by differentiating a first oscillogram of a pulse wave signal of a first wavelength from a second oscillogram of a pulse wave signal of a second wavelength when irradiating light of multiple wavelengths in each channel.
  15. In Paragraph 14, The step of generating an oscillogram for each of the above channels is A bio-information estimation method that determines a difference coefficient according to a first wavelength and a second wavelength, applies the determined difference coefficient to a second oscillogram, and then differs the second oscillogram from the first oscillogram.
  16. In Paragraph 13, The step of determining the optimal channel above A bio-information estimation method for obtaining an estimated MAP (mean arterial pressure) of each channel using an oscillogram of each channel and determining the optimal channel based on the obtained estimated MAP of each channel.
  17. In Paragraph 16, The step of determining the optimal channel above A bio-information estimation method for determining a predetermined number of channels as the optimal channels according to the order of the size of the estimated MAP of each channel.
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  19. In Paragraph 13, A method for estimating bioinformation further comprising the step of obtaining contact pressure between a subject and a pulse wave sensor while the above pulse wave signal is being measured.
  20. delete

Description

Apparatus and Method for Estimating Bio-Information This invention relates to a device and method for estimating biometric information, and is related to a technology for extracting cardiovascular features without using a cuff. Common techniques for non-invasively extracting cardiovascular characteristics without using a compression cuff include pulse wave analysis and pulse wave velocity. Pulse wave analysis is a method for extracting cardiovascular characteristics by obtaining photovolume pulse waves or body surface pressure signals from extremities, such as fingertips or the radial artery, and analyzing their shapes. Blood ejected from the left ventricle causes reflection at points with large branches, such as the renal artery or inferior aorta, which affects the shape of photovolume pulse waves or body surface pressure waves measured at the extremities. Therefore, by analyzing these shapes, it is possible to infer the degree of arteriosclerosis, vascular age, and aortic pressure waveforms. The pulse wave velocity method is a method for extracting cardiovascular characteristics such as arteriosclerosis and blood pressure by measuring the pulse wave transit time. It measures the electrocardiogram and the photoplethysm of the body end to determine the delay (pulse transit time, PTT) between the R peak (left ventricular contraction interval) of the electrocardiogram and the peak of the photoplethysm of the pulse wave, and calculates the speed taken for blood to travel from the heart to the body end by dividing the measurement result by an approximation of the arm length. FIG. 1 is a block diagram of a bio-information estimation device according to one embodiment. FIGS. 2a to 2c are examples of the configuration of a pulse wave sensor of a bio-information estimation device. FIG. 3a and FIG. 3b are block diagrams of a bio-information estimation device according to other embodiments. Figures 4a and 4b are drawings illustrating examples of general biometric information estimation. FIGS. 5a and 5b are drawings illustrating examples of multi-channel pulse wave signal measurement. Figures 6a and 6b are diagrams illustrating examples of oscillogram-based biometric information estimation. FIG. 7 is a flowchart of a bio-information estimation method according to one embodiment. Figure 8 illustrates a wearable device. Figure 9 illustrates a smart device. 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 biometric information estimation device and method will be described in detail with reference to the drawings. FIG. 1 is a block diagram of a biometric information estimation device according to one embodiment. FIG. 2a to 2c are embodiments of the pulse wave sensor configuration of the biometric information estimation device. The biometric information estimation device (100) of the present embodiment may be mounted on terminals such as smartphones, tablet PCs, desktop PCs, and laptop PCs, or manufactured as an independent hardware device. In this case, when manufactured as an independent hardware device, it may be implemented in the form of a wearable device that can be worn on a subject (OBJ) so that the user can easily measure biometric information while carrying it. For example, it may be implemented as a wristwatch type, bracelet type, wristband type, ring type, glasses type, or headband type. However, it is not limited thereto and may be modified according to various purposes, such as being manufactured as a fixed type for use in medical institutions for measuring and analyzing biometric information. Referring to FIG. 1, the biometric information estimation device (100) includes a pulse wave sensor (110) and a processor (120). The pulse wave sensor (110) measures a photoplethysmography (PPG) signal (hereinafter referred to as "pulse wave signal") from a subject. At this time, the subject is a biological area that