We describe a system for determining relative changes in at least one parameter of cardiovascular function. The system provides an output showing a relative change of the parameters associated with cardiovascular function over a period of time. This relative change is between a time averaged mean of cardiovascular parameters (for each pulse within a series of pulses from an arterial blood pressure waveform data) and a baseline cardiovascular parameter value based on first and second pulses within the blood pressure waveform data. The relative change of the parameters over time is used to project a trend in the parameters associated with cardiovascular function.

In one example, a display unit comprises a display panel that is configured to display digital images. The display unit further comprises an at least partially transparent protective layer that is arranged above the display panel. The display unit further comprises a controller that is communicatively attached onto an upper surface of the display panel. A biometric sensor pattern is integrated in the controller, and the controller is configured to control the biometric sensor pattern.

A wearable device includes a processor and a lower module. The lower module includes a pressure sensor for detecting a mechanical movement of a skin that covers an artery. The mechanical movement of the skin is due to blood flow through the artery. The processor is configured to receive skin movement information from the movement sensor; calculate a pulse front velocity (PFV), which is a velocity of a blood wave as the blood wave passes under the pressure sensor; estimate a pulse wave velocity (PWV) using the PFV; and estimate the blood pressure using the PWV.

A device and method for detecting a sign parameter are provided. A luminous source (01) is utilized to irradiate human skin tissue(s) for a preset time. The luminous source (01) can emit light with set wavelength(s) and capable of being absorbed by substance(s) for characterizing human body sign(s) in a human body. A photoelectric sensor (02) is configured to detect absorbance of the human body to the light emitted by the luminous source (01) within the preset time, and send a detection result to a processor (03). The processor (03) is configured to calculate substance concentration(s) of the substance(s) for characterizing the human body sign(s) in the human body according to the detection result sent by the photoelectric sensor (02). Therefore, blood samples of subjects do not need to be collected, and the substances for characterizing the human body signs can be detected through a non-invasive method.

The detection and diagnosis of a variety of cardiovascular disorders and levels of heart condition, using a novel method and system, according to a comprehensive analysis of cardiac electrical signal via the frequency domain, time domain, spatial domain.

There is disclosed herein examples of systems and methods of processing captured heart sounds with frequency-dependent normalization. Based on an amount of attenuation of a first heart sound, a second heart sound can be normalized by modifying portions of the second heart sound by amounts determined based on frequencies of the portions. Accordingly, the systems and methods disclosed herein can result in different amounts of modification of different portions of the second heart sound based on the different frequencies of the portions.

A hemodynamic monitoring system monitors arterial blood pressure of a patient and provides a warning to medical personnel of a predicted future hypotension event of the patient. Sensed hemodynamic data representative of an arterial pressure waveform of the patient are received by a hemodynamic monitor. The received hemodynamic data is offset, based on a difference between a standard mean arterial pressure (MAP) threshold for hypotension and an adjusted MAP threshold for hypotension, to produce adjusted hemodynamic data. Waveform analysis of the adjusted hemodynamic data is performed, and a risk score representing a probability of a future hypotension event for the patient is determined based on the waveform analysis. A sensory alarm is invoked to produce a sensory signal in response to the risk score satisfying a predetermined risk criterion.

A magnetic field measurement system includes a magnetometer having at least one vapor cell, at least one light source to direct at least two light beams through the vapor cell(s), and at least one detector; at least one magnetic field generator to modify an external magnetic field experienced by the vapor cell(s); and at least one processor configured for: applying a first modulation pattern, b.sub.mod(t), to the magnetic field generator(s) to modulate a magnetic field at the vapor cell(s), where b.sub.mod(t)=[c.sub.x cos(ωt)+s.sub.x sin(ωt), c.sub.y cos(ωt)+s.sub.y sin(ωt), c.sub.z cos(ωt)+s.sub.z sin(ωt)], where c.sub.x, s.sub.x, c.sub.y, s.sub.y, c.sub.z, and s.sub.z are amplitudes and ω is a frequency; directing the light source(s) to direct the light beams through the vapor cell(s); receiving signals from the detector(s); and determining three orthogonal components of the external magnetic field using the received signals. Multi-frequency modulation patterns can alternatively be used.

An apparatus for auditory therapy frequency spectrum analysis includes: a processor and a memory connected to the processor, wherein the memory stores program instructions executable by the processor to receive a hearing threshold of a user for each of n frequency bands in which an audible frequency band is divided with 1/k octave resolution, calculate n hearing threshold representative values for each of the n frequency bands according to a preset criterion, determine a group to which the user belongs by using the calculated n hearing threshold representative values, and determine acoustic stimulus signals of frequency bands sequentially required for the user to be treated based on the determined group.

A method and system for heterogeneous event detection. Sensor data is obtained and divided into discrete data windows. Each data window is defined by and corresponds to a time period of the sensor data. A time-frequency representation over the time period is calculated for each data window. A filter mask is calculated based on the data window corresponding to the time-frequency representation. The filter mask is applied for reverting the time-frequency representation to a time representation, resulting in filtered data. Features, such as extrema or other inflection points, are identified in the filtered data. The features define events, and transforming the time-frequency representation back into the time domain emphasizes differences between more and less prominent frequencies, facilitating identification of heterogeneous events. The method and system may be applied to body movements of people or animals, automaton movement, audio signals, light intensity, or any suitable time-dependent variable.