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).

An apparatus for estimating bio-information is disclosed. The bio-information estimating apparatus includes: a sensor configured to measure a bio-signal; and a processor configured to obtain one or more characteristic points, related to one or more pulse waveform components constituting the bio-signal, based on a differential signal of the bio-signal, and to estimate bio-information based on the obtained one or more characteristic points.

A pulse wave analysis device includes a pulse wave acquisition unit, a venous pressure calculation unit, a parameter calculation unit, and an output. The pulse wave acquisition unit acquires a pulse wave of a living body. The venous pressure calculation unit calculates a venous pressure based on a waveform of the pulse wave in a predetermined period. The parameter calculation unit analyzes the waveform in the predetermined period and calculates at least one vital parameter for the living body. The output outputs a calculated venous pressure, a calculated vital parameter, and/or information on accuracy of the venous pressure based on the vital parameter.

An apparatus for estimating bio-information based on pulse wave signals of multiple wavelengths is disclosed. The bio-information estimating apparatus may include: a sensor part comprising a pulse wave sensor configured to measure a multi-wavelength pulse wave signal at a first point in time when a first pressure is applied from an object to the sensor part and at a second point in time when a second pressure is applied from the object to the sensor part; and a processor configured to estimate bio-information based on a difference between the multi-wavelength pulse wave signal measured at the first pressure and the multi-wavelength pulse wave signal measured at the second pressure.

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.

An apparatus for estimating bio-information includes a pulse wave sensor configured to measure a pulse wave signal from an object, for a predetermined period of time, a processor configured to extract DC components of the pulse wave signal measured for the predetermined period of time, normalize the extracted DC components, based on at least one of the extracted DC components of the pulse wave signal measured at a time when a reference force is applied by the object to the pulse wave sensor, and estimate the bio-information, based on the normalized DC components.

The systems and methods described herein determine metrics of cardiac or vascular performance, such as cardiac output, and can use the metrics to determine appropriate levels of mechanical circulatory support to be provided to the patient. The systems and methods described determine cardiac performance by determining aortic pressure measurements (or other physiologic measurements) within a single heartbeat or across multiple heartbeats and using such measurements in conjunction with flow estimations or flow measurements made during the single heartbeat or multiple heartbeats to determine the cardiac performance, including determining the cardiac output. By utilizing a mechanical circulatory support system placed within the vasculature, the need to place a separate measurement device within a patient is reduced or eliminated. The system and methods described herein may characterize cardiac performance without altering the operation of the heart pump (e.g., without increasing or decreasing pump speed).

A device is for estimating a blood pressure of a user by a combination of an acoustic mode employing acoustic emitters and acoustic detectors and an optical mode using light sources and photodetectors forming source—detector pairs. The device includes an acoustic selection unit to determine the pertinent acoustic emitter—acoustic detector pair as well as an optical selection unit to determine the pertinent light source—photodetector pairs.

The invention disclosed herein relates to improvements in the collection personal health data. It further relates to a Personal Health Monitor (PHM), which may be a Personal Hand Held Monitor (PHHM), that incorporates a Signal Acquisition Device (SAD) and a processor with its attendant screen and other peripherals. The SAD is adapted to acquire signals which can be used to derive one or more measurements of parameters related to the health of a user. The computing and other facilities of the PHM with which the SAD is integrated are adapted to control and analyse signals received from the SAD. The personal health data collected by the SAD may include data related to one or more of blood pressure, pulse rate, blood oxygen level (SpO.sub.2), body temperature, respiration rate, ECG, cardiac output, heart function timing, arterial stiffness, tissue stiffness, hydration, blood viscosity, blood pressure variability, the concentration of constituents of the blood such as glucose or alcohol and the identity of the user.

A method for adjusting an output signal of a pulse diagnosis device includes obtaining a pulse signal at a pulse diagnosis region that is acquired by a sensing element of the pulse diagnosis device, and performing a parameter recognition on the pulse signal to obtain a parameter of the pulse signal, and determining a biological structure of the pulse diagnosis region based on the parameter of the pulse signal. The method also includes determining an adjustment factor for the parameter of the pulse signal based on the biological structure, and adjusting the parameter of the pulse signal based on the adjustment factor for the parameter of the pulse signal, to obtain an adjusted pulse signal for the pulse diagnosis region. The pulse signal is a pressure signal applied by an artery in the pulse diagnosis region to an external skin surface corresponding to the artery.