Samsung Electronics Co., Ltd.

Industry-Academic Cooperation Foundation, Dankook University

Seung Keun Yoon

Ui Kun Kwon

Sang Joon Kim

Dae Geun Jang

Chang Soon Park

Chang Mok Choi

Seung Woo Noh

Yunseo Ku

Youn Ho Kim

Joon Seong Kang

Chi Sung Bae

Shi Hong Park

Jong Wook Lee

Sang Kon Bae

Yeong Seok Ko

So Young Lee

Young Soo Kim

Jin Woo Choi

Byung Hoon Ko

Ka Ram Choi

Jae Chun Lee

Sang-Joon Kim

Young Seok Ko

A method for predicting failure of bio-information estimation is provided. The method for predicting failure of bio-information estimation includes: receiving a bio-signal; obtaining failure prediction indicators from the bio-signal that is received until a current time, the failure prediction indicators comprising at least one of a current number of pulses of the bio-signal until the current time, a current signal quality of the bio-signal until the current time, a maximum number of pulses of the bio-signal that are predicted to be measured until a time limit, and a maximum signal quality of the bio-signal that is predicted to be measured until the time limit; and predicting whether bio-information estimation will fail based on the failure prediction indicators before the time limit is elapsed.

Method for predicting failure of bio-information estimation and apparatus for estimating bio-information

A method of determining regularity of a bio-signal is provided. The method of determining regularity of a bio-signal according may include acquiring a plurality of pulse waveforms of the bio-signal, acquiring a plurality of slope waveforms corresponding to the plurality of pulse waveforms, binarizing the plurality of slope waveforms, acquiring synchronization information of the plurality of pulse waveforms based on binarizing the plurality of pulse waveforms; acquiring a synchronization rate of a reference interval based on the synchronization information, and determining whether the bio-signal is regular or irregular based on the synchronization rate of the reference interval.

Method of determining regularity of bio-signal, apparatus and method for estimating bio-information

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

Provided is an apparatus for estimating bio-information. The apparatus for estimating bio-information according to an embodiment includes a processor configured to obtain a pulse wave signal from a user; extract components of a plurality of element waveforms which constitute a waveform of the pulse wave signal; and obtain a cardiovascular feature based on the extracted components of the plurality of element waveforms. The processor is configured to extract a component of at least one element waveform based on a component of an adjacent element waveform.

Apparatus and method for estimating bio-information

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.

Apparatus and method for estimating blood pressure

A blood pressure estimating apparatus includes a sensor configured to obtain a bio-signal of an object; and a processor configured to extract a first cardiovascular feature and a second cardiovascular feature based on the bio-signal, and estimate blood pressure based on a first changing tendency of the first cardiovascular feature from a first reference level and a second changing tendency of the second cardiovascular feature from a second reference level, the first changing tendency and the second changing tendency being independent from each other.

Blood pressure estimating apparatus and blood pressure estimating method

An apparatus for estimating bio-information may include: a processor configured to measure a current time interval between a plurality of element waveforms of the pulse wave signal, determine whether a current measurement posture of the user corresponds to a reference posture based on the current time interval of the plurality of element waveforms, and estimate the bio-information based on a determination of whether the current measurement posture corresponds to the reference posture.

An apparatus for estimating bio-information may include: a bio-signal acquirer configured to acquire a bio-signal; and a processor configured to extract one or more first feature values from the bio-signal, determine a scale factor based on the first feature values, and to estimate bio-information based on the scale factor and the first feature values.

A bio-signal quality assessment apparatus may include: a bio-signal obtainer configured to obtain a bio-signal; and a processor configured to extract periodic signals from the obtained bio-signal, and determine a signal quality index based on at least one of similarity between the extracted periodic signals and signal variability of the obtained bio-signal.

Bio-signal quality assessment apparatus and bio-signal quality assessment method

An apparatus for calibration of a bio-information estimation model includes a sensor configured to obtain a bio-signal from an object in a reference interval; a feature extractor, implemented by at least one processor, configure to extract a reference feature value from the bio-signal; and a calibrator, implemented by the at least one processor, configured to determine whether a condition is satisfied based on at least one of the reference feature value and an offset value, and based on determining that the condition is satisfied, configured to calibrate the bio-information estimation model based on the reference feature value and the offset value.

Apparatus and method for calibration of bio-information estimation model, and bio-information estimating apparatus

An apparatus for estimating bio-information may include a sensor configured to obtain a bio-signal from an object, and a processor configured to obtain a second-order differential signal of the bio-signal, and extract a progressive wave component from the bio-signal using, based on a first local minimum point of the second-order differential signal being stable, the first local minimum point of the second-order differential signal, or extract the progressive wave component from the bio-signal using, based on the first local minimum point of the second-order differential signal being unstable, a maximum amplitude point in a systolic portion of the bio-signal.

An apparatus for estimating bio-information includes: a sensor configured to obtain a bio-signal from an object; and a processor configured to obtain a second-order differential signal of the bio-signal, to detect at least one of an inflection point in a predetermined period of the second-order differential signal, and a zero-crossing point in the predetermined period of the second-order differential signal, to extract a feature based on the detected at least one of the inflection point and the zero-crossing point, and to estimate bio-information based on the extracted feature.

An apparatus for estimating bio-information includes a sensor configured to measure a bio-signal from an object, and a processor configured to obtain a feature based on the measured bio-signal, obtain a bio-information variation based on the obtained feature, obtain an adjustment coefficient based on the obtained bio-information variation, and estimate the bio-information by applying the obtained adjustment coefficient to the obtained bio-information variation.

An apparatus and a method for monitoring a bio-signal measuring condition are disclosed. The apparatus includes a bio-signal receiver configured to receive a bio-signal that is measured from a user, and a processor configured to extract any one or any combination of a waveform feature, a period feature, and an amplitude feature, from the received bio-signal, determine whether the extracted any one or any combination of the waveform feature, the period feature, and the amplitude feature are normal, using at least one predetermined determination reference corresponding to the extracted any one or any combination of the waveform feature, the period feature, and the amplitude features, and monitor a measuring condition of the received bio-signal, based on whether the extracted any one or any combination of the waveform feature, the period feature, and the amplitude feature are determined to be normal.

Apparatus and method for monitoring bio-signal measuring condition, and apparatus and method for measuring bio-information

An apparatus for calibrating a bio-information estimation model is provided. The apparatus for calibrating a bio-information estimation model includes: a data obtainer configured to obtain at least one pulse wave signal; and a processor configured to extract a plurality of feature sets, each feature set including one or more features, from each of the at least one pulse wave signal, and configured to calibrate a bio-information estimation model based on a correlation distribution of the extracted plurality of feature sets.

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Seoul, South Korea

Seung Keun Yoon