The present disclosure relates to technology for estimating bio-information by using a foldable electronic device. The foldable electronic device includes a main body part, having a first main body and a second main body, configured to fold along a folding line; a first sensor provided on the first main body, and configured to obtain a contact image of an object of a user; a second sensor provided on the first main body, and configured to measure a degree of folding of the main body part; and a processor configured to estimate bio-information of the user, based on the contact image of the object and the degree of folding.

A blood pressure monitor of the present invention includes a cuff to be wrapped around a measurement site. The blood pressure monitor includes a unit including, as elements for blood pressure measurement, a pump, a valve, a pressure sensor, and an inner pipe connecting the pump, valve, and pressure sensor such that fluid can pass therethrough. The blood pressure monitor includes a connecting pipe connecting the cuff and the inner pipe in the unit such that fluid can pass therethrough. The blood pressure monitor includes a self failure diagnosis unit configured to determine whether or not there is a failure in a fluid system including the pump, the valve, the pressure sensor, the inner pipe, the connecting pipe, and the cuff, in a state in which the cuff is empty-wrapped into a cylindrical shape and the capacity of the cuff is restricted.

Provided are an apparatus and method for measuring bio-information. The apparatus for measuring bio-information includes: a pulse wave sensor configured to emit light of multiple wavelengths onto an object, and detect the light to obtain multi-wavelength pulse wave signals when the light is reflected or scattered from the object; and a processor configured to: obtain a conversion signal that indicates a contact pressure between the object and the pulse wave sensor, based on the multi-wavelength pulse wave signals, obtain an oscillometric envelope based on the multi-wavelength pulse wave signals and the conversion signal, and obtain bio-information based on the oscillometric envelope.

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.

An apparatus for measuring a performance metric of a heart includes a housing, a tactile sensor, a finger clamp, a linear actuator, and a controller. The tactile sensor measures blood pressure pulsatility in a digital artery of a finger via applanation tonometry and outputs pulsatility signals indicative of the blood pressure pulsatility. The finger clamp extends from the housing to clamp the finger against the tactile sensor with the digital artery aligned over the tactile sensor. The linear actuator drives the finger clamp with a clamping force directed along a linear path. The controller is coupled to the tactile sensor and the linear actuator to control the clamping force and to generate pulsatility data, based upon the pulsatility signals, from which the performance metric of the heart may be determined.

A method for measuring and analyzing blood pressure using PPG includes receiving, by a computer, a PPG signal from a finger of a subject, dividing, by the computer, a normalization pulse wave signal derived from the received PPG signal into one or more predetermined windows, extracting, by the computer, a maximum lower amplitude value from one of the respective divided windows, extracting, by the computer, a target feature pattern from the extracted maximum lower amplitude value, deriving, by the computer, a first target unique vector and a second target unique vector with respect to the target feature pattern, using a linear discriminant analysis (LDA) algorithm to display the first target unique vector and the second target unique vector of the target feature pattern on 2-dimensional (2D) graph, and providing, by the computer, a blood pressure state of the subject, using the 2D graph.

Provided is an apparatus configured to estimate bio-information, the apparatus including a pulse wave sensor including a plurality of channels disposed in an isotropic shape, a force sensor configured to measure a force applied by an object to the pulse wave sensor, and a processor configured to detect a center of gravity based on pressure, applied by the object, in a space formed by the plurality of channels based on pulse wave signals measured by each of the plurality of channels included in the pulse wave sensor, provide a user with guide information with respect to contact of the object to the pulse wave sensor based on the detected center of gravity, and estimate bio-information based on the pulse wave signals and the force which are measured based on the guide information.

A venous pressure measurement device includes: an obtaining unit configured to obtain pulse wave information on a pulse wave of a subject measured by a sensor; and a processing unit configured to calculate a value range of venous pressure of the subject based on the pulse wave information obtained by the obtaining unit when the venous pressure of the subject is not estimatable from the pulse wave information obtained by the obtaining unit.

A method for presenting data of blood-pressure measurement includes: calculating blood-pressure index values based on entries of data of blood-pressure measurement; and presenting a blood-pressure trend interface that includes index level regions, and for each of the blood-pressure index values, an index level markers disposed in one of the index level regions. The blood-pressure trend interface is presented in a manner that the index level markers corresponding respectively to the blood-pressure index values cooperatively indicate a trend in the blood pressure.

When evaluating the quality of photoplethysmography (PPG) signal (52) measured from a patient monitor (e.g., a finger sensor or the like), multiple features of the PPG signal are extracted and analyzed to facilitate assigning a score to the PPG signal or portions (e.g., heartbeats) thereof. Heartbeats in the PPG signal are segmented out using concurrently captured electrocardiograph (ECG) signal (50), and for each heartbeat, a plurality of extracted features are analyzed. If all extracted features satisfy one or more predetermined criteria for each feature, then the heartbeat waveform is compared to a predefined heartbeat template. If the waveform matches the template (e.g., within a predetermined match percentage or the like), then the heartbeat is classified as “clean.” If the heartbeat does not patch the template, or if one or more of the extracted features fails to satisfy its one or more pre-determined criteria, the heartbeat is classified as “noisy.”