Samsung Electronics Co., Ltd.

Industry-University Cooperation Foundation Hanyang University

University-Industry Cooperation Group of Kyung Hee University

Sang Kon Bae

So Young Lee

Youn Ho Kim

Chang Mok Choi

Ka Ram Choi

Yun S Park

Jin Woo Choi

Jin Young Park

Eui Seok Shin

Ui Kun Kwon

Byung Hoon Ko

Kun Soo Shin

Joon-Hyuk Chang

Jae Wook Shim

Joon-Young Yang

Jehyun Kyung

Hyo Sun Hwang

Jae Min Kang

Seung Keun Yoon

Sang Kyu Kim

Sujit Jos

Rahul Arora

Ibrahim Abdul Majeed

Inmo Yeon

Jeong-Hwan Choi

Sang Joon Kim

Hyun Seok Moon

Jeong Eun Hwang

Jong Keun Song

Chi Sung Bae

In Duk Hwang

Choong Hee Lee

Sang Ryong Kim

Tae-jun Park

Sub Sunoo

Sang-Seok Nam

Ye-Rin Jeoung

Ka Ram Ram Choi

Hun-Young Park

Kwon Ui Kun Kun

An apparatus for estimating blood pressure includes: a photoplethysmogram (PPG) sensor configured to measure a PPG signal from an object; a force sensor configured to measure a force signal acting between the object and the PPG sensor; and a processor configured to (i) divide a predetermined blood pressure range into a plurality of classes, (ii) input the measured PPG signal and the measured force signal into a blood pressure estimation model to obtain the probability values for each of the classes, and (iii) estimate blood pressure based on the obtained probability values for the respective classes.

Apparatus and method for estimating blood pressure

An apparatus for estimating bio-information is disclosed. The apparatus may include: a pulse wave sensor configured to measure a pulse wave signal from an object; a force sensor configured to obtain a force signal by measuring an external force exerted onto the force sensor; and a processor configured to obtain a first input value, a second input value, and a third input value based on the pulse wave signal and the force signal, to extract a feature vector by inputting the first input value, the second input value, and the third input value into a first neural network model, and to obtain the bio-information by inputting the feature vector into a second neural network model.

Apparatus and method for estimating bio-information

An apparatus for and a method for estimating blood pressure are provided. The apparatus for estimating blood pressure includes: a sensor configured to measure a pulse wave signal from an object; and a processor configured to obtain a mean arterial pressure (MAP) based on the pulse wave signal, configured to classify a phase of the obtained MAP according to at least one classification criterion, and to obtain a systolic blood pressure (SBP) by using an estimation model corresponding to the classified phase of the MAP among estimation models corresponding to respective phases of the MAP.

An apparatus for estimating bio-information is provided. The apparatus for estimating bio-information by using an ultrasonic signal according to an embodiment of the present disclosure includes: an ultrasonic sensor configured to acquire an ultrasonic signal from an object; and a processor configured to detect peaks from the acquired ultrasonic signal, and to determine false detection of a peak, among the detected peaks, by using at least one of amplitudes of the detected peaks or a left waveform shape and a right waveform shape of the peak.

Apparatus for estimating bio-information, and method of determining false detection of bio-signal peaks

An apparatus for estimating bio-information is provided. The apparatus for estimating bio-information according to an embodiment includes: an ultrasonic sensor configured to acquire a bio-signal from an object; and a processor configured to detect peaks from the bio-signal, and to determine false detection of a peak, among the detected peaks, by using at least one of a time interval between a current peak and an immediately preceding peak, amplitudes of the current peak and the immediately preceding peak, a shape of a waveform on a left region and a right region of the peak, and an occurrence position of the peak.

A method of estimating a concentration of an analyte may include obtaining a plurality of in vivo estimation spectra, generating a plurality of noise detection models by varying a number of principal components based on the plurality of in vivo estimation spectra, comparing the generated plurality of noise detection models with a plurality of concentration estimation models for each number of principal components, extracting a noise spectrum and a concentration estimation model for use in estimating the concentration of the analyte based on the comparison, updating the extracted concentration estimation model based on the extracted noise spectrum, and estimating the concentration of the analyte by using the updated concentration estimation model and an in vivo estimation spectrum from among the plurality of in vivo estimation spectra.

Apparatus and method for estimating analyte concentration

A healthcare apparatus according to an embodiment includes: a plurality of light sources configured to emit light of different wavelengths onto an object; a light detector configured to measure an optical signal of each of the wavelengths by receiving light reflected or scattered from the object; and a processor configured to obtain a blood glucose level and a blood flow index by using the optical signal of each of the wavelengths, and to estimate at least one from among dietary information and dietary metabolism state information by monitoring a blood glucose level change and a blood flow index change after ingestion of a food.

Healthcare apparatus and operating method thereof

An apparatus for estimating bio-information is provided. The apparatus includes: an ultrasound image acquirer configured to acquire ultrasound images of an object; a pressurizer configured to apply pressure to the object to occlude a blood vessel; and a processor configured to estimate a change in a diameter of the blood vessel using the ultrasound images acquired by the ultrasound image acquirer before and after an occlusion of the blood vessel, and estimate bio-information based on the estimated change in the diameter of the blood vessel.

Apparatus and method for estimating bio-information, ultrasonic device, and mobile device

An apparatus for providing corrected bio-information by using a bio-information sensor includes a communicator configured to receive bio-information from the bio-information sensor; a processor configured to extract metabolic information based on food intake information of a user and correct the received bio-information based on the extracted metabolic information; and an outputter configured to provide a result of correcting the bio-information.

Apparatus and method for correcting error of bio-information sensor, and apparatus and method for estimating bio-information

A method and apparatus for pre-processing a photoplethysmogram (PPG) signal include receiving, by an apparatus, the PPG signal including a plurality of pulses, obtaining, by the apparatus, a smoothed PPG signal based on smoothing the PPG signal using a moving average filter, obtaining, by the apparatus, a drift removed PPG signal based on removing drift from the smoothed PPG signal using a fitted polynomial function, and obtaining, by the apparatus, a rectified PPG signal based on correcting a motion artifact of the drift removed PPG signal by replacing each of the plurality of pulses using a combination of a global signal pulse and a corresponding local signal pulse.

Method and apparatus for pre-processing PPG signal

An apparatus for non-invasively estimating a biological component is provided. The apparatus may include: a sensor configured to measure a calibration spectrum for a first duration and measure a biological component estimation spectrum for a second duration, based on light returning from an object; and a processor configured to remove a signal of a biological component from the calibration spectrum to obtain a background spectrum for the first duration, and estimate the biological component, based on the background spectrum and the biological component estimation spectrum, for the second duration in response to a command for measuring the biological component.

Apparatus and method for estimating biological component

The present disclosure relates to a method and system for processing a photoplethysmogram (PPG) signal to improve accuracy of measurement of physiological parameters of a subject. The method may include removing a baseline drift from the PPG signal; obtaining a drift removed signal; filtering the drift removed signal; obtaining a filtered signal; performing motion artifact correction on the filtered signal; and obtaining a corrected signal.

Drift, noise, and motion artifact correction method for photoplethysmogram (PPG) signals and system thereof

A apparatus for obtaining an individualized unit spectrum includes: a spectrum obtainer configured to obtain a first biological spectrum from a subject at a first measurement time, and obtain a second biological spectrum from the subject at a second measurement time; and a processor configured to extract the individualized unit spectrum from the first biological spectrum and the second biological spectrum, based on a predetermined unit spectrum of a target component.

Apparatus and method for obtaining individualized unit spectrum, and apparatus and method for estimating biological component

An apparatus for estimating blood glucose using a photoplethysmography (PPG) signal is provided. The apparatus for estimating blood glucose includes: a pulse wave sensor configured to obtain a pulse wave signal from an object; and a processor configured to obtain at least two points from a waveform of the pulse wave signal, to extract a feature based on time values of the obtained at least two points, and to estimate blood glucose based on the extracted feature.

Apparatus and method for estimating blood glucose

A device and method for spectrum analysis in which differences among skin spectra are quantitatively analyzed, and a blood glucose measurement device are provided. The device for spectrum analysis includes an obtainer configured to acquire a plurality of skin spectra; and a processor configured to generate a plot of difference degree of spectra which represents differences among the acquired plurality of skin spectra, and determine whether the plurality of skin spectra are appropriate for blood glucose measurement based on the plot of difference degree of spectra.

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Seongnam-si, South Korea

Sang Kon Bae