Abstract: An apparatus for obtaining a target signal spectrum includes: a spectrum measurer configured to measure a plurality of spectra from an object; and a processor configured to obtain a difference spectrum matrix by subtracting a reference spectrum from each of the plurality of spectra, and to obtain a spectrum of a target signal based on the obtained difference spectrum matrix.

Abstract: A healthcare apparatus according to an embodiment includes: a plurality of light sources configured to emit light of different wavelengths onto an object; a light detector configured to measure an optical signal of each of the wavelengths by receiving light reflected or scattered from the object; and a processor configured to obtain a blood glucose level and a blood flow index by using the optical signal of each of the wavelengths, and to estimate at least one from among dietary information and dietary metabolism state information by monitoring a blood glucose level change and a blood flow index change after ingestion of a food.

Abstract: An apparatus for health care which guides a user to measure a target component. According to one embodiment, the apparatus for health care may include a physiological information acquirer configured to acquire physiological information related to a target component and a processor configured to monitor a measurement event of the target component based on the acquired physiological information and guide a user to measure the target component based on a monitoring result.

Abstract: A method of transforming Monte Carlo (MC) simulations for diffuse reflectance spectroscopy (DRS) may include obtaining, by a DRS device, MC simulated DRS measurements using a pre-defined number of photons; pre-processing, by the DRS device, the MC simulated DRS measurements to obtain normalized DRS measurements; correcting, by the DRS device, non-monotonicity of the normalized DRS measurements to obtain monotonic DRS measurements; converting, by the DRS device, the monotonic DRS measurements to a logarithmic domain to obtain logarithmic DRS measurements; performing, by the DRS device, curve fitting on the logarithmic DRS measurements in the logarithmic domain to obtain curve-fitted logarithmic DRS measurements; and transforming, by the DRS device, the curve-fitted logarithmic DRS measurements to a non-logarithmic domain to obtain transformed MC simulated DRS measurements.

Abstract: An apparatus for providing corrected bio-information by using a bio-information sensor includes a communicator configured to receive bio-information from the bio-information sensor; a processor configured to extract metabolic information based on food intake information of a user and correct the received bio-information based on the extracted metabolic information; and an outputter configured to provide a result of correcting the bio-information.

Abstract: Provided is an apparatus for non-invasively monitoring a health condition. The apparatus for monitoring health according to an example embodiment of the disclosure includes: a pulse wave sensor configured to obtain a first pulse wave signal in a first contact state of an object and a second pulse wave signal in a second contact state of the object; and a processor configured to estimate a degree of vasodilation based on an alternating current (AC) component of each of the first pulse wave signal and the second pulse wave signal, configured to monitor a vascular health condition based on the estimated degree of vasodilation, and configured to output a result of monitoring the vascular health condition.

Abstract: An apparatus for generating a metabolism model may include a processor configured to obtain a predetermined number of bio-information profiles from a bio-sensor, extract a representative bio-information profile from the obtained predetermined number of bio-information profiles, and generate the metabolism model for correcting an error of the bio-sensor by using the extracted representative bio-information profile.

Abstract: A personalized bio-information correcting apparatus includes a communication interface configured to acquire original bio-information value data of a user, and a processor configured to obtain a personalized bio-information guideline, based on a personalized physiological model, identify whether at least one value among the acquired original bio-information value data is an outlier, based on the obtained personalized bio-information guideline, and based on the at least one value among the acquired original bio-information value data being identified to be the outlier, obtain final bio-information value data by correcting the at least one value among the acquired original bio-information value data.

Abstract: Provided is an apparatus for estimating bio-information which estimates bio-information from a user. The apparatus for estimating bio-information according to an embodiment of the present disclosure includes: a spectrometer configured to obtain, absorbance from a user; a physiological information obtainer configured to obtain metabolic and physiological information including a concentration of carbon dioxide (CO2); and a processor configured to estimate bio-information based on the absorbance and the metabolic, and physiological information by using a predictive model corresponding to the obtained metabolic and physiological information.

Abstract: The present disclosure relates to a method and system for processing a photoplethysmogram (PPG) signal to improve accuracy of measurement of physiological parameters of a subject. The method may include removing a baseline drift from the PPG signal; obtaining a drift removed signal; filtering the drift removed signal; obtaining a filtered signal; performing motion artifact correction on the filtered signal; and obtaining a corrected signal.

Abstract: Provided is a healthcare apparatus including a pulse wave sensor including a light source configured to emit light toward a user and a detector configured to detect light reflected or scattered from the user, the pulse wave sensor being configured to measure a pulse wave signal based on the detected light, and a processor configured to obtain an optical path length change of blood of the user based on the pulse wave signal, and to predict whether the user has a health problem based on the obtained optical path length change.

Abstract: A heartbeat index determination apparatus may include a pulse wave acquirer configured to acquire a plurality of pulse wave signals that are measured using light of different wavelengths; and a processor configured to measure wavelength-specific heartbeat index values from the plurality of pulse wave signals and determine that a wavelength-specific heartbeat index value that is obtained from the plurality of pulse wave signals a most number of times among the wavelength-specific heartbeat index values is a heartbeat index value of a user.

Abstract: A method and apparatus for pre-processing a photoplethysmogram (PPG) signal include receiving, by an apparatus, the PPG signal including a plurality of pulses, obtaining, by the apparatus, a smoothed PPG signal based on smoothing the PPG signal using a moving average filter, obtaining, by the apparatus, a drift removed PPG signal based on removing drift from the smoothed PPG signal using a fitted polynomial function, and obtaining, by the apparatus, a rectified PPG signal based on correcting a motion artifact of the drift removed PPG signal by replacing each of the plurality of pulses using a combination of a global signal pulse and a corresponding local signal pulse.

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 health care which guides a user to measure a target component. According to one embodiment, the apparatus for health care may include a physiological information acquirer configured to acquire physiological information related to a target component and a processor configured to monitor a measurement event of the target component based on the acquired physiological information and guide a user to measure the target component based on a monitoring result.

Abstract: A healthcare apparatus according to an embodiment includes: a plurality of light sources configured to emit light of different wavelengths onto an object; a light detector configured to measure an optical signal of each of the wavelengths by receiving light reflected or scattered from the object; and a processor configured to obtain a blood glucose level and a blood flow index by using the optical signal of each of the wavelengths, and to estimate at least one from among dietary information and dietary metabolism state information by monitoring a blood glucose level change and a blood flow index change after ingestion of a food.

Abstract: An apparatus for providing corrected bio-information by using a bio-information sensor includes a communicator configured to receive bio-information from the bio-information sensor; a processor configured to extract metabolic information based on food intake information of a user and correct the received bio-information based on the extracted metabolic information; and an outputter configured to provide a result of correcting the bio-information.