The signal quality of an electrophysiological signal can be determined from information regarding proximal stability of an electrophysiology catheter at the time the signal is acquired and temporal stability of the electrophysiological signal. The proximal stability information can include a distance between the electrophysiology catheter and an anatomical surface, a velocity of the electrophysiology catheter, and/or contact force between the electrophysiology catheter and the anatomical surface. Graphical representations of signal quality scores can be output to a display in order to enable visualization thereof by a practitioner.

A biological information measuring apparatus includes a detector, a measuring unit, a calculator, and a determining unit. The detector detects pulse waves continuously. The measuring unit measures first biological information. The calculator calculates second biological information from the pulse waves based on the first biological information. The measuring unit suspends the measurement and resumes the measurement after a lapse of a period in a case where the determining unit does not determine that the result of measurement is normal, and the measuring unit continues the measurement in other cases where the body motion is not generated, the pulse waves are not irregular or the blood pressure value fails to vary.

A system and associated methods for round-the-clock monitoring of an animal's health status includes an animal harness that is worn by the animal, and one or both of a mobile device and a remote server. The animal harness includes a plurality of sensors for collecting health measurements of the animal. The animal harness also includes a transceiver that communicates the heath measurements to one or both of the mobile device and the remote server, where a user may view the health measurements. Firmware in the animal harness, an application running in the mobile device, and software in the remote server processes and corrects the health measurements to generate a health status of the animal and notifications are generated when the animal's health is not within a safe range defined by the user.

An illustrative hearing system may be configured to receive, from an inertial sensor included in a hearing device configured to be worn by a user, inertial sensor data representative of at least one of motion of the hearing device or orientation of the hearing device. The hearing system may further be configured to determine, based on the inertial sensor data, an activity state of the user and to determine, based on the activity state, a cardiorespiratory quality index representative of a quality level of a measurement of a cardiorespiratory property of the user.

Methods and systems are provided for lowering power consumption in an optical sensor, such as a pulse oximeter. In one example, a method for an optical sensor includes illuminating a light emitter of the optical sensor according to set sensor parameters, the sensor parameters set based on hardware noise or external interference characterization and light transmission or reflection of a tissue contributing to a signal output by the optical sensor, the sensor parameters including current drive parameters of the light emitter, and adjusting the current drive parameters of the light emitter to maintain a target signal to noise ratio of the signal output by the optical sensor.

The present disclosure relates to devices, systems and methods for extracting physiological information indicative of at least one vital sign of a subject. An embodiment of a device comprises a pre-treatment unit configured to derive at least three detection signals from electromagnetic radiation reflected from a skin region of a subject, wherein at least two detection signals comprise wavelength-dependent reflection information in a different wavelength channel and at least two detection signals comprise reflection information in different polarization channels having different polarization directions.

A system has a plurality of diagnostic sensors and a first computing device interconnected to the plurality of diagnostic sensors for: commanding the plurality of diagnostic sensors to collect diagnostic data from a patient, determining if each of the plurality of diagnostic sensors are positioned at respectively predefined body locations of the patient, combining the collected diagnostic data for analysis when all of the plurality of diagnostic sensors are positioned at respectively predefined body locations of the patient, and prompting the patient to reposition at least one of the plurality of diagnostic sensors when the at least one sensor is determined as being mis-positioned from the corresponding predefined body location.

A method for medical detection implemented in a medical detection device, includes a detection instruction being received by the device, the device detecting a temperature of a test strip and determining a measurement error rate corresponding to the actual temperature of the test strip, a relationship having been established between temperatures and measurement error rates for test strip temperatures. When the medical detection device receives the test strip that carries blood of a user, at least one physiological parameter based on the blood on the test strip is measured, and a measurement value of the at least one physiological parameter is obtained. And the measurement value is compensated according to the measurement error rate, and a correction value of the physiological parameter is thus obtained.

A method for monitoring blood pressure (BP) of a user using a cuffless monitoring system comprising a pulsatility waveform measuring device configured to measure a pulsatility waveform signal of the user, the method comprising an initialization routine (10) including performing an adequacy routine (20) for adjusting the measurement parameters of the pulsatility waveform measuring device (103); and performing a reliability test for determining a reliability of the measurement. The method provides incremental feedback of the adequacy of the acquired signals, the reliability of pulsatility waveforms, and the repeatability of the absolute BP values.

Disclosed systems include an electrocardiogram sensor configured to sense electrocardiograms of a subject and a processing device operatively coupled to the electrocardiogram sensor. The processing device receives an electrocardiogram from the electrocardiogram sensor. The electrocardiogram is input into a machine learning model, the machine learning model to generate an output based on the received electrocardiogram. The processing device determines based on the electrocardiogram, that the output does not match an expected range of outputs for the target subject and generates an alert indicating a possible change in a status of the subject in response to the output not matching the expected range of outputs for the target subject.