A cardiac health assessment system includes a memory, a circuit board, and a touchscreen controller integrated into a handheld electronic device (HED). The memory stores a classification model, a regression model, and instructions about a cardiac monitoring application. The circuit board includes a microphonic sensor, an Inertial Measurement Unit (IMU) sensor, a camera sensor, and a processor. The microphonic sensor captures cardiac sound wave signals indicative of the cardiac health of a user. The IMU sensor captures seismic signals indicative of the cardiac health of the user. The camera sensor enables visual data collection of tissue and photoplethysmography. The processor is configured to: execute the instructions, display commands to position the HED against the chest of the user, detect abnormal heart activity by deploying the classification model, and estimate intracardiac pressure by deploying the regression model. The touchscreen controller displays cardiac diagnostic information.

Described herein are systems, devices, and methods to assess and correct for instability of baseline pressure of pressure sensors applied for measuring pressures inside a human body or body cavity, such as intracranial pressure (ICP) and arterial blood pressure (ABP). The present disclosure includes systems for assessing instability of baseline pressure by computing differences in single pressure wave parameters between single pressure waves, calculating pressure stability levels, determining differences between pressure stability levels and creating baseline pressure indicator plots. The baseline pressure indicator plots define instability of baseline pressure as a function of defined thresholds applied to parameters of the pressure stability levels. The disclosure also provides means for correcting mean pressure caused by baseline pressure instability.

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.

Biomarkers of high blood pressure are measured to identify high blood pressure of the subject based on one or more biomarkers. In many embodiments, the response of the biomarker to blood pressure occurs over the course of at least an hour, such that the high blood pressure identification is based on a cumulative effect of physiology of the subject over a period of time. The methods and apparatus of identifying high blood pressure with biomarkers have the advantage of providing improved treatment of the subject, as the identified biomarker can be related to an effect of the high blood pressure on the subject, such as a biomarker corresponding to central blood pressure. The sample can be subjected to increases in one or more of pressure or temperatures, and changes in the blood sample measured over time.

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 blood pressure monitor cuff is formed by stacking an outer circumferential layer arranged on a side opposite to that of a measurement site and a fluid bladder arranged on the measurement site side. The outer circumferential layer and the fluid bladder are formed of an elastomer material. Two edge portions in a lengthwise direction of the outer circumferential layer protrude in a thickness direction toward the measurement site. The fluid bladder includes a base layer that opposes the outer circumferential layer and a top layer overlapping with the base layer, and the edge portions of the base layer and the top layer are welded together forming a bladder shape. Additional sheets are welded in the thickness direction to the welded edge portions of the top layer and the base layer. The fluid bladder is arranged between the two edge portions of the outer circumferential layer in the width direction.

Systems and methods for non-invasive blood pressure measurement are disclosed. In some embodiments, a system comprises a wearable member configured to generate first and second signals (e.g., PPG signals), and a blood pressure calculation system. The blood pressure calculation system includes a wave selection module configured to identify subsets of waves of the signals, a feature extraction module configured to generate sets of feature vectors form the subsets of waves, and a blood pressure processing module configured to calculate an arterial blood pressure value based on the sets of feature vectors and an empirical blood pressure calculation model, the empirical blood pressure calculation model configured to receive the sets of feature vectors as input values. The blood pressure calculation system further includes a communication module configured to provide a message including or being based on the arterial blood pressure value.

An electronic device is provided. The electronic device includes a biometric sensor for detecting biometric data, a situation sensing module, memory, and a processor operatively coupled to the biometric sensor, the situation sensing module, and the memory. The processor can check whether a user is in an inactive state using the situation sensing module, check reference biometric data corresponding to the inactive state if the user is in the inactive state, extract biometric data of the user using the biometric sensor, and measure the blood pressure of the user on the basis of the extracted biometric data and the reference biometric data.

The physiological information processing apparatus: acquires electrocardiogram data of a subject; detects a QRS complex from the electrocardiogram data; acquires pulse wave data of the subject; detects a pacing pulse output from an apparatus worn by the subject; determines whether the pacing pulse is detected in a time period in which the QRS complex is not detected when the time period is equal to or longer than a predetermined time width; determines, based on the pulse wave data, whether a pulse wave is present within predetermined time from a detection time point at which die pacing pulse is detected; and determines, according to a determination that the pulse wave is present within the predetermined time, that the QRS complex is actually present in the time period.

An electronic device receives a first input, where an air pump inflates and pressurizes an airbag. The electronic device obtains a pressure value of the airbag in a process of controlling the air pump to inflate and pressurize the airbag. The electronic device obtains a first pressure signal, where the first pressure signal is a signal indicating that the pressure value of the airbag changes with time in a process in which the air pump starts to inflate and pressurize the airbag until the pressure value of the airbag is equal to a preset pressure value. The electronic device determines, based on the first pressure signal, tightness of wearing a wristband by a user. The electronic device corrects, based on the tightness, a blood pressure measurement value determined based on a second pressure signal, to determine a blood pressure value of the user.