A ring monitor includes an accessory unit, a monitoring module, a processing unit, a transmission module and a power supply module. The accessory unit is a discontinuously annular body with a gap. Two end walls of the gap are two endpoints. The gap and the two endpoints together define an opening end. When the person who wears the ring monitor is measured, a measuring part of the person is inserted into the gap, and the measuring part of the person is clamped between the two endpoints. The monitoring module is mounted at the opening end. The processing unit is mounted in the accessory unit. The processing unit is connected with the monitoring module. The transmission module is mounted in the accessory unit. The transmission module is connected with the processing unit. The power supply module is mounted in the accessory unit.

A method for guiding deep breathing may include receiving a request from a user to initiate a deep breathing exercise on a user-controlled device. The method may include monitoring deep breathing using one or more sensors on an ear-worn device in response to initiating the deep breathing exercise. Examples of sensors include at least one of a motion detector, a microphone, a heart rate sensor, and an electrophysiological sensor. The method may further include initiating an end to the deep breathing exercise. The method may be used with various hearing systems including an ear-worn device and optionally a user-controllable device, such as a smartphone.

A biometric processor comprises: one or more inputs configured to receive first ear biometric data acquired in respect of a first ear of a user and second ear biometric data acquired in respect of a second ear of the user; a processing module configured to perform a biometric algorithm on the first ear biometric data and the second ear biometric data, based on a comparison of the first ear biometric data to a first stored ear biometric template for an authorised user and a comparison of the second ear biometric data to a second stored ear biometric template for the authorised user, to obtain respective first and second biometric scores; a fusion module configured to apply first and second weights to the respective first and second biometric scores to obtain first and second weighted biometric scores, and to combine at least the first and second weighted biometric scores to generate an overall biometric score, wherein the first and second weights are different to each other; and wherein a biometric result is based on the overall biometric score.

A system may obtain a set of features characterizing a segment of inertial measurement unit (IMU) data generated by an IMU of an ear-wearable device. The system may apply a machine learning model (MLM) that takes the features characterizing the segment of the IMU data as input. The system may determine, based on output values produced by the MLM, whether a user of the ear-wearable device has potentially been subject to physical abuse. The system may then perform an action in response to determining that the user of the ear-wearable device has potentially been subject to physical abuse.

Each accessory device in a set of accessory devices may establish a respective communication link between the accessory device and an ear-wearable device. A particular accessory device in the set of accessory devices may receive data via the communication link between the particular accessory device and the ear-wearable device. The data comprise information generated based on sensor signals from sensors that monitor a user of the ear-wearable device. The accessory devices perform a health monitoring activity based on the data.

A signal measurement method and a signal measurement apparatus (1000) are provided. A mode selection switch (11) may be used to enable a multi-lead measurement mode, to obtain signals of a plurality of leads and a status of a user. When quality of the signals of the plurality of leads is good or the user is in a static state, extracted features of the signals of the plurality of leads are output. When the signals of the plurality of leads are poor and the user is in a moving state, the mode selection switch (11) is used to switch to a single-lead mode with right leg drive, to obtain a signal of a single lead. A common-mode signal is eliminated from the signal of the single lead by using a negative feedback of a right leg drive electrode, and a feature of the signal of the single lead is output.

The present disclosure relates to systems and methods for determining the renal glomerular filtration rate or assessing the renal function in a patient in need thereof. The system includes a computing device, a power supply, one or more sensors, and at least one tracer agent that fluoresces when exposed to electromagnetic radiation. The electromagnetic radiation is detected using the sensors, and the rate in which the fluorescence decreases in the patient is used to calculate the renal glomerular filtration rate in the patient.

An ear-worn device includes a speaker, an optical emitter, an optical detector, a processor, and a housing configured to be positioned within an ear of a subject, wherein the housing encloses the speaker, optical emitter, optical detector, and processor. The housing includes at least one window that exposes the optical emitter and optical detector to the ear of the subject, and the housing includes at least one aperture through which sound from the speaker can pass. Light transmissive material is located between the optical emitter and the at least one window and is configured to deliver light emitted from the optical emitter to an ear region of the subject at one or more predetermined locations. Light transmissive material is positioned between the optical detector and the at least one window and is configured to collect light external to the housing and deliver the collected light to the optical detector.

An apparatus for estimating bio-information is provided. The apparatus for estimating bio-information according to an embodiment includes: an ultrasonic sensor configured to acquire a bio-signal from an object; and a processor configured to detect peaks from the bio-signal, and to determine false detection of a peak, among the detected peaks, by using at least one of a time interval between a current peak and an immediately preceding peak, amplitudes of the current peak and the immediately preceding peak, a shape of a waveform on a left region and a right region of the peak, and an occurrence position of the peak.

In one embodiment, a data processing method comprises obtaining one or more first photoplethysmography (PPG) signals based on one or more first light sources that are configured to emit light having a first light wavelength corresponding to a green light wavelength; obtaining one or more second PPG signals based on one or more second light sources that are configured to emit light having a second light wavelength corresponding to a red light wavelength, one or more of the first light sources and one or more of the second light sources being co-located; generating an estimated heart rate value based on one or more of the first PPG signals and the second PPG signals; and causing the estimated heart rate value to be displayed via a user interface on a client device.