Abstract: A battery diagnosis apparatus for diagnosing a battery including battery cells, the apparatus according to an embodiment may include a voltage measurer for measuring the voltage of each battery cell during a preset period of time, a voltage variation calculator for calculating an individual voltage variation of each battery cell during the preset period of time, an average voltage variation calculator for calculating an average voltage variation of the battery cells during the preset period of time, and an abnormality detector for determining that a voltage abnormality has occurred in at least one battery cell among the battery cells when a difference between the voltage variation of the at least one battery cell and the average voltage variation of the at least one battery cell is greater than a threshold value.

Abstract: The present invention provides an organic compound represented by: an organic light emitting diode and an organic light emitting display device using the organic compound. The organic compound of the present invention is capable of reducing a driving voltage of an organic light emitting diode and improving an emitting efficiency and a lifetime of the organic light emitting diode and the organic light emitting display device including the organic compound.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: A bio-information measuring apparatus bio-information measuring method are provided. The bio-information measuring apparatus includes: a pulse wave obtainer configured to obtain a pulse wave signal, and a processor configured to correct a feature of the obtained pulse wave signal based on a variation in an amplitude of the obtained pulse wave signal, and to measure bio-information based on the corrected feature.

Abstract: 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.

Abstract: 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.

Abstract: An apparatus for estimating bio-information is disclosed. The bio-information estimating apparatus includes: a sensor configured to measure a bio-signal; and a processor configured to obtain one or more characteristic points, related to one or more pulse waveform components constituting the bio-signal, based on a differential signal of the bio-signal, and to estimate bio-information based on the obtained one or more characteristic points.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.