The blood glucose (BG) detector (BGD) stores baseline BG data therein. The BGD has a housing with legs forming a U-shaped sensing channel for a finger web or ear antihelix. The sensory channel limits insertion of the web/antihelix. A positional light sensor subsystem audibly and/or visually indicates a test-to-test detection position. A BG sensor on the legs uses IR 1550 bandwidth light to detect BG by transmission through the web/antihelix ro generate a detected BG signal. A comparator (in processor-memory system) compares detected BG signal to baseline BG data and generates a displayable BG level to the user via a display module. Alternatively, a leg-to-leg distance sensor may be used. A keypad enables upload of the BD baseline data (or an I/O port).

Embodiments herein relate to embodiments herein relate to hearing assistance systems and methods for monitoring a device wearer's emotional state and status. In an embodiment, a hearing assistance system is included having an ear-worn device that can include a control circuit and a microphone in electronic communication with the control circuit. The ear-worn device can be configured to monitor signals from the microphone, analyze the signals in order to identify speech, and transmit data based on the signals representing the identified speech to a separate device. Other embodiments are also included herein.

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.

A monitoring system for monitoring a biological subject including a monitoring device having a housing configured to be attached to or supported by an ear of the subject in use, one or more sensors, the one or more sensors including a photoplethysmogram (PPG) sensor provided in the housing and configured to measure attributes of blood flow within the ear, and a monitoring device processor configured to acquire sensors signals from the one or more sensors and generate sensor data at least partially in accordance with signals from the one or more sensors. A transmitter is provided that transmit the sensor data with one or more processing systems receiving the sensor data, analyzing the sensor data and generating a health state indicator indicative of a health state of the subject.

Embodiments herein relate to ear-wearable systems and devices that can detect allergic reactions. In an embodiment, an ear-wearable device is included having a control circuit, a microphone, and a sensor package. The ear-wearable device can be configured to evaluate at least one of signals from the microphone, signals from the sensor package, signals from an external sensor, and contextual factor data, and detect an allergic reaction based on the evaluation. In an embodiment, an ear-wearable device system is included having a first ear-wearable device and a second ear-wearable device. In an embodiment, a method of predicting or detecting the onset or presence of an allergic reaction with an ear-wearable system is included. Other embodiments are also included herein.

Disclosed are a wearable multi-index integrated physiological intelligent sensor system and a physiological index monitoring method. The system includes a device body and an intelligent terminal. The device body is provided with a fixing piece, which is configured to fix the device body at a human ear; the device body is further provided with a collecting and processing assembly, which is in wireless communication connection with the intelligent terminal; the collecting and processing assembly collects a corresponding physiological index signal in response to a physiological index collection instruction sent by the intelligent terminal, and analyzes and processes the physiological index signal to obtain a corresponding physiological index data, and sends the physiological index data to the intelligent terminal; in which, the physiological index signal includes electrodermal signal, heart rate signal and blood oxygen signal; the intelligent terminal is configured to receive and display a physiological index data.

Embodiments herein relate to ear-wearable systems and devices that can detect respiratory conditions and related parameters. In an embodiment, an ear-wearable device for respiratory monitoring is included having a control circuit, a microphone, and a sensor package. The ear-wearable device can be configured to analyze signals from the microphone and/or the sensor package and detect a respiratory condition and/or parameter based on analysis of the signals. In an embodiment, an ear-wearable system for respiratory monitoring is included having an accessory device and an ear-wearable device. In an embodiment, a method of detecting respiratory conditions and/or parameters with an ear-wearable device system is included. Other embodiments are also included herein.

The invention comprises a method for estimating state of a cardiovascular system, comprising the steps of: providing a cardiac analyzer, comprising: a blood pressure sensor, the blood pressure sensor generating a time-varying pressure state waveform output from a portion of a person; a system processor connected to the blood pressure sensor; and a dynamic state-space model of a cardiovascular system, the system processor receiving cardiovascular input data, from the blood pressure sensor, related to a transient pressure state of the cardiovascular system, where at least one probabilistic model, of the dynamic state-space model, operating on the time-varying pressure state waveform output generates a probability distribution function to a non-pressure state of the cardiovascular system. The probability distribution function is iteratively updated using synchronized updated time-varying pressure state waveform output from the blood pressure sensor and a non-pressure state output related to a cardiovascular system parameter is generated.

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.

An electronic device is provided. The electronic device includes a display, a communication circuit, and at least one processor configured to recognize a user's initial posture based on at least one of motion sensor signals of a first external electronic device and a second external electronic device received through the communication circuit, control the first external electronic device to receive a first motion sensor signal, obtain the user's workout data based on the first motion sensor signal when the initial posture satisfies a designated condition, control the second external electronic device to receive a second motion sensor signal when the user's movement is not recognized based on the first motion sensor signal and obtain the user's workout data based on the second motion sensor signal, and provide the workout data through at least one of the display or the first external electronic device.