Abstract: A method of evaluating quality of a bio-signal includes receiving an input bio-signal; setting a quality evaluation region in thebio-signal; dividing a signal of the quality evaluation region into a plurality of sub-signals; extracting a representative waveform by using the plurality of sub-signals; evaluating a quality of each sub-signal based on the representative waveform; and evaluating a quality of the signal in the quality evaluation region based on quality evaluation results of the plurality of sub-signals.

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 pressure according to an example embodiment of the present disclosure includes: a pulse wave sensor configured to measure a pulse wave signal from an object; and a processor configured to obtain a first feature and a heart rate based on the pulse wave signal, estimate a mean arterial pressure (MAP) based on the first feature and the heart rate, and estimate a first blood pressure based on the MAP and a pulse pressure (PP).

Abstract: An apparatus for non-invasively estimating bio-information is provided. According to one exemplary embodiment, the apparatus may include a bio-signal acquirer configured to acquire a bio-signal; and a processor configured to extract a plurality of characteristic points from the bio-signal, determine internally dividing points of the plurality of characteristic points, and extract feature values from the bio-signal based on the internally dividing points to perform bio-information estimation.

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 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: 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 non-invasively estimating bio-information is provided. According to one exemplary embodiment, the apparatus may include a bio-signal acquirer configured to acquire a bio-signal; and a processor configured to extract a plurality of characteristic points from the bio-signal, determine internally dividing points of the plurality of characteristic points, and extract feature values from the bio-signal based on the internally dividing points to perform bio-information estimation.

Abstract: An apparatus for estimating blood pressure includes: a ballistocardiogram (BCG) sensor configured to measure a limb BCG signal from a user; and a processor configured to obtain blood pressure-related features from the measured limb BCG signal, according to sensing characteristics of the BCG sensor, and estimate a blood pressure of the user based on the obtained blood pressure-related features.

Abstract: An apparatus for non-invasively estimating blood pressure is provided. According to one embodiment, the apparatus for estimating blood pressure may include a bio-signal sensor configured to measure a bio-signal from a user and a processor configured to extract a feature from the bio-signal at an extraction time, acquire an offset based on a relative change value of the feature extracted at the extraction time, relative to a reference value of the feature obtained a time of calibration, and estimate blood pressure based on the relative change value of the extracted feature and the acquired offset.

Abstract: A method of obtaining a feature for blood pressure estimation is provided. The method includes extracting a reference feature from a bio-signal; obtaining a feature for blood pressure estimation by: obtaining, as the feature for blood pressure estimation, a first candidate feature based on the reference feature being less than a first threshold; obtaining, as the feature for blood pressure estimation, a second candidate feature based on the reference feature being greater than or equal to a second threshold that is greater than the first threshold; or obtaining, as the feature for blood pressure estimation, a combination of the first candidate feature and the second candidate feature based on the reference feature being less than the second threshold; and estimating a blood pressure by using the obtained feature.

Abstract: An adaptive bio-signal feature combining apparatus includes: a feature extractor configured to extract first feature values and second feature values from a bio-signal of an object; a stable interval determiner configured to determine at least one stable interval in the bio-signal; a statistical variable calculator configured to calculate a statistical variable value of a first feature and a statistical variable value of a second feature for each of the at least one stable interval based on the first and second feature values extracted from the at least one stable interval; and a feature combiner configured to calculate an integrated combining coefficient that is used to combine the first feature and the second feature, based on the statistical variable value of the first feature and the statistical variable value of the second feature.

Abstract: An apparatus for estimating blood pressure is provided. The apparatus for estimating blood pressure according to an example embodiment includes: a sensor configured to measure a photoplethysmogram (PPG) signal from an object; and a processor configured to detect a position of a dicrotic notch based on a local maximum point and a local minimum point of a second-order derivative signal of the PPG signal, to obtain a first value and a second value from a first section and a second section of the PPG signal divided based on the dicrotic notch of the PPG signal, to obtain a pulse pressure feature value based on the first value and the second value, and to estimate blood pressure based on a variation in the obtained pulse pressure feature value compared to a reference pulse pressure feature value.

Abstract: An apparatus for non-invasively estimating bio-information is provided. According to one exemplary embodiment, the apparatus may include a bio-signal acquirer configured to acquire a bio-signal; and a processor configured to extract a plurality of characteristic points from the bio-signal, determine internally dividing points of the plurality of characteristic points, and extract feature values from the bio-signal based on the internally dividing points to perform bio-information estimation.

Abstract: An apparatus for estimating blood pressure is provided. The apparatus for estimating blood pressure may include: a bio-signal measurer configured to measure a bio-signal from a user; and a processor configured to extract one or more feature values from the bio-signal, to adjust a combination coefficient for combining the one or more feature values based on a reference value associated with vascular compliance, and to estimate blood pressure based on the adjusted combination coefficient, and the one or more feature values extracted from the bio-signal.

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: Provided is a communication technology of an access point and a terminal that may decrease power consumption by changing an operation state of the terminal from an awake state to a sleep state when a data stream to be transmitted to the terminal is absent or has completed in a transmission opportunity (TXOP) duration.

Abstract: An exercise feedback provision apparatus includes an acquirer configured to acquire exercise intensity information including either one or both of user biometric information and user movement information, and a controller configured to verify whether the exercise intensity information is in a predetermined range, and generate a control signal based on a result of the verifying. The apparatus further includes a feedback provider configured to output a tactile feedback based on a pattern corresponding to the control signal.