Samsung Electronics Co., Ltd.

Industry-University Cooperation Foundation Hanyang University

University System of Maryland

Snu Rdb Foundation

Seoul National University

Postech Research and Business Development Foundation

Youn Ho Kim

Sang Yun Park

Jae Min Kang

Yong Joo Kwon

Chang Mok Choi

Byung Hoon Ko

Jong Wook Lee

Kun Soo Shin

Jin Woo Choi

Seung Woo Noh

Sang Kon Bae

Ui Kun Kwon

Jeong Eun Hwang

Young Soo Kim

Dae Geun Jang

Seung Keun Yoon

Chang Soon Park

Jong Hoon Park

Yun Ki Lee

Kwang Suk Park

Yong Gyu Lim

Jin-Oh Hahn

Jong Pal Kim

Tak Hyung Lee

Joon-Hyuk Chang

Sung-Min Park

Sung Mo Ahn

Sun Kwon Kim

Joon-Young Yang

Jehyun Kyung

Peyman Yousefian

Jeong Su Lee

Tae-jun Park

Young Zoon Yoon

Jeong-Hwan Choi

Inmo Yeon

Sungtae Shin

Kun Kook Park

Yunseo Ku

Jee Hoon Kim

Soo Kwan Kim

Deuk Seok Chung

Jin Hyun Yun

Hyun Tai Hwang

Soo Young Sim

Kwang Min Joo

Myung Jun Koh

Hyo Sun Jeon

Vega Pradana Rachim

JinHyeok Baek

Ye-Rin Jeoung

Jin-Oh Hann

Joon-Hyuk Jang

Kwangsub Song

Eun Ju Yeom

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 measuring bio-information in a non-invasive manner includes: a pulse wave sensor configured to measure a plurality of pulse wave signals having different wavelengths from an object; a contact pressure sensor configured to measure contact pressure of the object while the plurality of pulse wave signals are measured; and a processor configured to obtain an oscillometric waveform based on the contact pressure and the plurality of pulse wave signals having the different wavelengths, and obtain bio-information based on the oscillometric waveform.

Bio-information measuring apparatus and bio-information measuring method

A wafer-type sensor for wafer alignment includes a dummy wafer; a sensor module disposed in the dummy wafer, and a processor configured to control the sensor module to measure a distance between a side surface of the dummy wafer and a ring formed around a periphery of an electrostatic chuck based on the dummy wafer being mounted on the electrostatic chuck by a transfer robot.

Wafer type sensor, wafer alignment method using the same, and calibration device for calibrating wafer type sensor

An apparatus for estimating bio-information includes: a sensor part configured to obtain contact pressure of a contact surface contacted by an object, and configured to obtain a contact image of the object that contacts the contact surface; and a processor configured to obtain a pulse wave signal of a region of interest based on the contact image, and configured to estimate bio-information based on the obtained pulse wave signal and the contact pressure.

Apparatus and method for estimating bio-information

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.

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.

A blood pressure measuring apparatus according to an aspect of the present invention includes: a touch sensor; a pulse wave measurer configured to measure pulse waves from a user; a contact force measurer including at least three force sensors and configured to measure a contact force between the touch sensor and the user by using the at least three force sensors; a contact area measurer configured to measure a contact area between the user and the touch sensor; and a processor configured to determine a vertical direction error, which indicates a degree of deviation of a direction of force, applied by the user to press the touch sensor, from a vertical direction to a surface of the touch sensor based on sensor values sensed by the at least three force sensors, and estimate blood pressure according to a determination result of the vertical direction error based on the pulse waves, the contact force, and the contact area.

Blood pressure measuring apparatus and blood pressure measuring method

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 of a user may include a first sensor configured to measure a first signal from the user; a second sensor configured to measure a second signal from the user; and a processor configured to obtain a first characteristic point from the first signal; obtain a second characteristic point from the second signal based on the first characteristic point and a pre-defined probability distribution function; and estimate the bio-information of the user based on the second characteristic point.

A bio-information processing apparatus may include: a bio-signal measurer configured to measure a bio-signal; a bio-information receiver configured to receive first bio-information; and a processor configured to estimate second bio-information based on the bio-signal, and to correct the second bio-information based on measurement circumstances of the first bio-information and the second bio-information.

Apparatus and method for processing bio-information

An apparatus for generating a blood pressure estimation model includes: a signal acquirer configured to receive input a first signal and a second signal from a user; and a processor configured to obtain a pulse transit time (PTT) as a first predictor variable value based on the first signal and the second signal, to extract at least one feature from the second signal, to obtain a second predictor variable value based on the extracted at least one feature, and to generate a blood pressure estimation model based on the first predictor variable value and the second predictor variable value.

Apparatus and method for generating blood pressure estimation model, and apparatus for estimating blood pressure

An apparatus for estimating blood pressure is provided. According to one embodiment, the apparatus for estimating blood pressure may include a sensor configured to measure a bio-signal from a subject, and a processor configured to acquire, form the bio-signal, a first feature value associated with cardiac output (CO) and a second feature value associated with total peripheral resistance (TPR), determine whether a current mechanism of blood pressure change of the subject is a post-exercise hypotension mechanism based on the first feature value and the second feature value, and estimate blood pressure according to determination of whether the current mechanism is the post-exercise hypotension mechanism.

An apparatus for obtaining bio-information may include a pulse wave sensor including a light source and a detector. The light source is configured to emit multi-wavelength light to an object of interest and the detector is configured to detect light reflected from the object. In addition, the apparatus may include a processor configured to obtain a change in volume of a blood vessel based on one or more of quantity of detected multi-wavelength light and absorbance coefficients of respective wavelengths of the multi-wavelength light and obtain bio-information based on the measured change in volume of the blood vessel.

Apparatus and method for obtaining bio-information

An apparatus for estimating bio-information includes a sensor part configured to measure a pulse wave signal and a contact force of an object, while the object is in contact with the sensor part. The apparatus further includes a processor configured to extract a first feature from the measured pulse wave signal and the measured contact force, select one estimation model from a plurality of estimation models, based on a second feature of a user corresponding to the object, and estimate the bio-information, by inputting the extracted first features in the selected estimation model.

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.

Growing community of inventors

Hwaseong-si, South Korea

Youn Ho Kim