Abstract:
A high-order syndrome calculator includes a serial-to-parallel converter configured to convert serial bit sequences received from a transmitter to a parallel multi-stream, an exclusive OR (XOR) operator configured to perform an XOR operation on bit values of the multi-stream, a zero interpolator configured to insert zero values between the bits on which the XOR operation is performed, and a linear feedback shift register configured to calculate a high-order syndrome value based on a coefficient of a remainder obtained by dividing, by a primitive polynomial, a polynomial generated from the multi-stream in which the zero values are inserted.
Abstract:
An apparatus for estimating blood pressure may include: a photoplethysmogram (PPG) sensor configured to measure a PPG signal from a user; and a processor configured to: extract a cardiovascular feature from the PPG signal; calculate a first variation in the extracted cardiovascular feature compared to a reference cardiovascular feature measured at a reference time; determine a measurement posture of the PPG signal based on a time interval between two waveform components of the PPG signal; in response to the measurement posture corresponding to the reference posture, estimate the blood pressure based on the first variation; and in response to the measurement posture not corresponding to the reference posture, obtain a second variation by correcting the first variation; and estimate blood pressure based on the second variation.
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 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:
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:
Provided is an apparatus for non-invasively estimating bio-information by analyzing a pulse waveform. The apparatus for estimating bio-information according to an aspect of the present disclosure includes a processor configured to obtain a first characteristic point from a first pulse wave signal measured by a pulse wave sensor at a calibration time, obtain a second characteristic point from a second pulse wave signal measured by the pulse wave sensor at a bio-information estimation time, based on time information of the obtained first characteristic point, and estimate the bio-information of an object based on the obtained second characteristic point.
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 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:
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 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.