A bio-signal measuring apparatus includes a sensing apparatus configured to sense electrocardiogram data representing an electrical change according to a pulse of an object and sense heart sound data according to the pulse and a processing apparatus configured to store the electrocardiogram data in a memory. The processing apparatus is further configured to analyze the electrocardiogram data to determine whether or not an abnormal signal is generated in the electrocardiogram data, when the abnormal signal is detected to be generated in the electrocardiogram data, generate a storage control signal for heart sound data associated with the abnormal signal in an abnormal signal section including the abnormal signal, and store the associated heart sound data in the abnormal signal section of the memory in response to the storage control signal.

A pulse sensor is capable of measuring a pulse rate of a wearer at a peripheral artery. In an embodiment, the pulse sensor includes a magnet supported to move responsive to an arterial pulse and a magnetometer configured to detect changes in a magnetic field produced by the magnet. The magnet may include a plurality of ferromagnetic particles disposed in or on a flexible substrate configured to be held adjacent to human skin subject to arterial palpation and a magnetic sensor configured to sense movement of the ferromagnetic particles. A system and method may measure hydration includes using a pulse sensor to measure pulse rate and modulation. The wearer is prompted when the pulse rate and pulse modulation indicate a response to dehydration of the wearer.

A pulse sensor is capable of measuring a pulse rate of a wearer at a peripheral artery. In an embodiment, the pulse sensor includes a magnet supported to move responsive to an arterial pulse and a magnetometer configured to detect changes in a magnetic field produced by the magnet. The magnet may include a plurality of ferromagnetic particles disposed in or on a flexible substrate configured to be held adjacent to human skin subject to arterial palpation and a magnetic sensor configured to sense movement of the ferromagnetic particles. A system and method may measure hydration includes using a pulse sensor to measure pulse rate and modulation. The wearer is prompted when the pulse rate and pulse modulation indicate a response to dehydration of the wearer.

A method includes receiving a video signal that comprises a time series of images of a face of a human, wherein the images in the time series of images comprise a set of landmark points in the face, applying tracking processing to the video signal to reveal variations over time of at least one image parameter at the set of landmark points in the human face, generating a set of variation signals indicative of variations revealed at respective landmark points in the set of landmark points, applying processing to the set of variation signals, the processing comprising artificial neural network processing to produce a reconstructed PhotoPletysmoGraphy (PPG) signal, and estimating a heart rate variability of a variable heart rate of the human as a function of the reconstructed PPG signal.

A method includes receiving a video signal that comprises a time series of images of a face of a human, wherein the images in the time series of images comprise a set of landmark points in the face, applying tracking processing to the video signal to reveal variations over time of at least one image parameter at the set of landmark points in the human face, generating a set of variation signals indicative of variations revealed at respective landmark points in the set of landmark points, applying processing to the set of variation signals, the processing comprising artificial neural network processing to produce a reconstructed PhotoPletysmoGraphy (PPG) signal, and estimating a heart rate variability of a variable heart rate of the human as a function of the reconstructed PPG signal.

The proposed technology relates to a method for indicating a risk for coronary artery disease. A sound recording is obtained (100) covering a plurality of heartbeats, a plurality of heart sounds are identified (200) in the sound recording, and a plurality of segments are obtained (300) from the sound recording. A frequency power measure is determined (400) based on the signal strength of a first frequency window of a period in the diastole, an amplitude of the fourth heart sound is determined (500) based on the plurality of heart sounds and the plurality of segments, and an indication of a heart rate variability is determined (600) based on the plurality of heart sounds. The indication of the risk for coronary artery disease is then determined (700) based on the frequency power measure, the amplitude of the fourth heart sound, and the indication of the heart rate variability.

The proposed technology relates to a method for indicating a risk for coronary artery disease. A sound recording is obtained (100) covering a plurality of heartbeats, a plurality of heart sounds are identified (200) in the sound recording, and a plurality of segments are obtained (300) from the sound recording. A frequency power measure is determined (400) based on the signal strength of a first frequency window of a period in the diastole, an amplitude of the fourth heart sound is determined (500) based on the plurality of heart sounds and the plurality of segments, and an indication of a heart rate variability is determined (600) based on the plurality of heart sounds. The indication of the risk for coronary artery disease is then determined (700) based on the frequency power measure, the amplitude of the fourth heart sound, and the indication of the heart rate variability.

Provided is a computer-implemented method of determining exercise parameters, such as heart rate thresholds, endurance, maximum heart rate and lactate threshold. The method comprises fitting a continuous curve to heart rate data obtained over time from the onset of exercise, the curve comprising a plurality of components that meet at transition points that join the components. The exercise parameters are obtained from the curve fitting of the heart rate data. Also provided is a system for determining exercise parameters, in particular a computer-implemented system that determines exercise parameters using the disclosed method.

Provided is a computer-implemented method of determining exercise parameters, such as heart rate thresholds, endurance, maximum heart rate and lactate threshold. The method comprises fitting a continuous curve to heart rate data obtained over time from the onset of exercise, the curve comprising a plurality of components that meet at transition points that join the components. The exercise parameters are obtained from the curve fitting of the heart rate data. Also provided is a system for determining exercise parameters, in particular a computer-implemented system that determines exercise parameters using the disclosed method.

This document describes techniques and apparatuses enabling determination of health state trends for a consistent patient situation. Various noninvasive health monitors can be used to sense a patient's situation and health states, including disease progression, at those states. These noninvasive health monitors may also act passively and in a patient's normal course of life, which enhances many patient's desire to submit to monitoring, as well as increase consistency of use, as in many cases the patient does little or nothing to cause his or her health monitoring and health-trend determination. With health states determined for a consistent patient situation, more accurate and more robust health trends can be determined.