An apparatus for estimating bio-information, may include: a sensor part having a photoplethysmography (PPG) sensor configured to measure a PPG signal from an object of a user, and a force sensor configured to measure a contact force between the object and the PPG sensor; an output interface, which before the PPG signal is measured, is configured to output first guide information indicating a predetermined number of times the user is required to touch the sensor part, and second guide information indicating a number of times that the sensor part has been touched since the first guide information is output; and a processor configured to estimate bio-information of the user by using the PPG signal based on the number of times that the sensor has been touched since the first guide information is output, corresponding to the predetermined number of times the user is required to touch.

[Subject] Non-invasive method for estimating blood pressure without a cuff and a device for the blood pressure estimation [Resolution means] Systolic blood pressure (EBP) is estimated according to EBP=β.sub.1.Math.P1+β.sub.2.Math.P2+β.sub.0 (β.sub.1, β.sub.2, and β.sub.0 are coefficients) where parameter P1, which is related to pulse transit time (PTT), and parameter P2, which is related to stroke volume based on pulse waves, are variables.

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.

An apparatus and method for detecting a bio-signal feature are provided. The apparatus according to one aspect may include: a bio-signal acquirer configured to acquire a bio-signal; and a processor configured to generate an envelope signal of the bio-signal, and detect at least one feature of the bio-signal based on a difference between the envelope signal and the bio-signal.

A pulse wave measurement device including: a belt to be worn around a measurement target site; first and second pulse wave sensors that are mounted on the belt spaced from each other with respect to a width direction of the belt, and that detect pulse waves of opposing portions of an artery passing through the measurement target site; a pressing unit that is mounted on the belt is capable of changing pressing forces of the pulse wave sensors against the measurement target site; a waveform comparing unit that acquires pulse wave signals which are time-sequentially output by the pulse wave sensors respectively, and compares waveforms of the pulse wave signals; and a pulse wave sensor pressing force setting unit that variably sets the pressing forces by the pressing unit such that the waveforms of the pulse wave signals compared by the waveform comparing unit become identical to each other.

A signal processing apparatus includes a memory configured to store instructions; and a processor configured to execute the instructions to obtain a signal; obtain a frequency band spectrum by applying a Fast Fourier Transform (FFT) to the obtained signal; and remove noise from the obtained spectrum by applying a first filter and a second filter, which are different from each other, to the obtained frequency band spectrum.

The method for improving measurement accuracy of a measurement system includes: emitting, by a light-emitting unit, at least one light signal to penetrate a human tissue; receiving, by a photoelectric conversion unit, the at least one light signal emitted by the light-emitting unit after penetrating the human tissue, and converting the at least one light signal into an electrical signal; converting, by a analog-to-digital conversion unit, the electrical signal into a digital signal; optimizing, by a signal-to-noise ratio optimization module, a signal-to-noise ratio of the digital signal by establishing at least one of a plurality of logic strategies; adjusting, by the driving adjustment unit, an magnitude of a driving current of the light-emitting unit base on the adjustment coefficient; and performing, by an algorithm processing unit, a physiological parameter conversion and calculation based on the digital signal processed by the at least one logic strategy.

A biometric waveform analysis system includes a wearable device having a sensor system and that is configured to be worn on a body of a subject, a metric output generator in communication with the sensor system, a waveform analysis engine in communication with the sensor system, and a control processor configured to control the sensor system, the metric output generator, and the waveform analysis engine. The sensor system includes one or more physiological sensors and motion sensors. The metric output generator includes logic that extracts at least one physiological parameter from the physiological data signal and extracts at least one motion parameter from the motion data signal. The waveform analysis engine includes waveform capture logic, normalization logic, contextual logic, and physiological assessment logic. The waveform capture logic receives the physiological data signal from the sensor system and separates the physiological data signal into a plurality of individual physiological waveforms.

A biological information analyzing device includes: an indicator extraction unit that extracts an indicator pertaining to a characteristic of a blood pressure waveform using data of the blood pressure waveform obtained by a sensor, which is worn on a user's body and can non-invasively measure the blood pressure waveform for each of heartbeats, continuously measuring the blood pressure waveform; and a processing unit that carries out a process based on the extracted indicator.

The present invention relates in particular to the field of anesthesia and to a method for real-time evaluation of the mean arterial pressure of a patient from plethysmography measurements. It also relates to a method for treating a patient comprising by continuously evaluating the mean arterial pressure of the patient, based on values continuously calculated by plethysmography.