Abstract:
Provided is a method and apparatus to adaptively set a threshold for signal demodulation. The apparatus and the method include adaptively setting a threshold to demodulate a currently received symbol based on the demodulation value of a previously received symbol based on a comparison value. The comparison value is obtained by comparing a number of previously received symbols having a demodulation value of “0” and a number of currently received symbols having a demodulation value of “1”.
Abstract:
A transmitter and/or receiver for performing frequency domain equalization is provided. A transmitter includes a pilot position determination unit for determining positions for inserting pilots in a frequency domain based on frequency spectrums of data, and a pilot insertion unit for inserting the pilots between the frequency spectrums of the data according to the determined positions for inserting the pilots.
Abstract:
Provided is an apparatus for estimating blood pressure, including a pulse wave sensor configured to measure a pulse wave signal of a user, and a processor configured to obtain, based on the pulse wave signal, one or more feature values corresponding to the blood pressure, detect whether a change in a posture of a user from a first posture to a second posture occurs while measuring the pulse wave signal, based on the change in the posture being detected, correct a reference blood pressure based on a blood pressure variation caused by the change in the posture, correct the one or more feature values based on a variation in one or more pulse wave signal feature values caused by the change in the posture, and estimate the blood pressure based on the corrected reference blood pressure and the corrected one or more feature values.
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:
An apparatus for estimating blood pressure may include a sensor configured to measure a bio-signal from an object; and a processor configured to: obtain a cardiac output (CO) feature based on the bio-signal; obtain a total peripheral resistance (TPR) feature by combining an amplitude of a propagation wave component and amplitudes of at least two reflection wave components of the bio-signal, in response to a variation of the CO feature at a blood pressure measurement time relative to a calibration time, being within a predetermined range; obtain the TPR feature by combining the amplitude of the propagation wave component and an amplitude of one reflection wave component of the at least two reflection wave components, in response to the variation of the CO feature not being within the predetermined range; and estimate blood pressure based on the CO feature and the TPR 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:
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 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.
Abstract:
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.
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.