A computing device, such as a wearable device, may include at least two electrodes mounted on a body. The computing device may determine an electrical signal associated with a circuit that includes the at least two electrodes and the user. A pressure applied to at least one electrode of the at least two electrodes may be determined from the electrical signal, and at least one function of the computing device may be implemented, based on the pressure.

The invention relates to an active implantable medical device comprising a processing unit able to be alternately operated during a predetermined period of activity and on standby during a standby period in a cyclical manner, and means for acquiring data relating to physiological and/or physical activity. The device also comprises means for calculating a frequency analysis of the data acquired, said calculating means being capable of successively perform part of the frequency analysis during periods of activity of the processing unit.

A method, apparatus, and computer program monitor a user's heart activity during a physical exercise. A heart activity measurement signal representing the user's heart activity is acquired and a phase component of the heart activity measurement signal is monitored. On the basis of the monitoring of the phase component, one or more actions are carried out.

The present disclosure relates to a method and system for processing a photoplethysmogram (PPG) signal to improve accuracy of measurement of physiological parameters of a subject. The method may include removing a baseline drift from the PPG signal; obtaining a drift removed signal; filtering the drift removed signal; obtaining a filtered signal; performing motion artifact correction on the filtered signal; and obtaining a corrected signal.

Embodiments of the present disclosure relate to a system and method for determining a risk, onset, or presence of hypovolemia based on one or more features of a plethysmographic waveform during a patient breathing cycle. For example, a hypovolemic patient may exhibit characteristic changes in pulse amplitude or stroke volume during inhalation and exhalation relative to a healthy patient. Further, a trend or pattern of such features may be used to assess the patient's fluid condition.

The present invention relates to systems and methods to measure, compute, and predict blood pressure. More specifically, the invention generally relates to systems, methods, and process for predicting blood pressure from respiratory, circulatory, acoustic, hemodynamic, movement and blood flow characteristics and metrics.

An electronic device for providing biometric information is provided. The electronic device includes a sensor module, a memory, and a processor electrically connected to the sensor module and the memory. The processor obtains a biometric signal from the sensor module at a predetermined time interval, determines whether a user is in a first state on the basis of the obtained biometric signal, in case the user is in a first state, obtains a representative value for a respective of the at least one biometric signal, defines the obtained representative value for the respective of the at least one biometric signal as a candidate reference value for a corresponding biometric signal, determines a candidate reference value satisfying a predetermined condition as a first reference value for the corresponding biometric signal, and updates a second reference value previously configured for the corresponding biometric signal on the basis of the first reference value.

In one aspect, a computer-implemented method includes receiving signals corresponding to wavelengths of light detected by an optical sensor placed in proximity to a patient's body, and for each received signal: separating the signal into an AC signal and a DC signal; separating the AC signal into component signals; analyzing the component signals through a fractional phase transformation to identify a desired component signal and harmonic signals associated with the desired component signal; smoothing the desired component signal, the harmonic signals, and the DC signal; and combining the smoothed desired component signal, the smoothed harmonic signals, and the smoothed DC signal to generate a modulation signal. A modulation ratio signal is generated based on the modulation signals derived from the signals, and a peripheral oxygen saturation (SpO2) of the patient's body is determined based on the modulation ratio signal.

A method of determining a cosmetic skin attribute of a person is provided. The method includes obtaining a color channel image of a person's skin, analyzing the color channel image with a computer using entropy statistics to obtain an entropy value, and then determining a cosmetic skin attribute for the person based on the entropy value.

A biosignal measuring apparatus for converting and transmitting biosignals, includes a sensing unit configured to sense a user's electrocardiogram data, a communication unit configured to establish a wireless channel with a data receiving device, and a processing unit configured to determine real-time transmission characteristics based on communication quality information regarding the wireless channel, to determine a data resolution corresponding to the real-time transmission characteristics, to convert the electrocardiogram data according to the data resolution, and to transmit the electrocardiogram data to the data receiving device.