Embodiments herein relate to ear-wearable systems and devices for detecting heat stress and related methods. In an embodiment, an ear-wearable heat stress risk assessment system is included having a control circuit, a microphone, and a sensor package. The system is configured to process signals of one or more sensors of the sensor package and/or the microphone, detect dehydration symptoms, environmental conditions, and activity levels of a device wearer based on the processed signals, and determine a heat stress risk level based on detected dehydration symptoms, environmental conditions, and activity levels of the device wearer. Other embodiments are also included herein.

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.

A device including a magnetoresistance sensor for detecting a magnetic field from an ear cavity is disclosed. Methods for detecting a magnetic field from an ear cavity with a magnetoresistance sensor are also disclosed.

A wearable EEG monitor for continuously monitoring the EEG of a user through capacitive coupling to an ear canal of a user includes an ear insert (1) for positioning within the human ear canal, having at least two capacitive electrodes (16) for recording a signal. The electrodes are coated with a dielectricum for electrical insulation. The electrodes are connected to an amplifier (17). The amplifier has an input impedance matched to the impedance of the electrodes. The invention further provides a method of monitoring brain waves.

A system, method and wireless earpieces for populating an electronic health record utilizing wireless earpieces. Sensor measurements of a user are performed utilizing sensors of the wireless earpieces. The sensor measurements are analyzed. The sensor measurements are associated with the electronic health record of the user. The electronic health record of the user is populated with the sensor measurements. Communications including information from the electronic health record are communicated.

An apparatus for estimating bio-information includes: an impedance sensor including a pair of input electrodes and a pair of receiving electrodes, and configured to measure bio-impedance of a user by applying a current to the pair of input electrodes and by measuring a voltage between the pair of receiving electrodes; and a processor configured to estimate bio-information by applying, to the measured bio-impedance, an estimation model that uses a correlation between the measured bio-impedance and the bio-information to be estimated.

A device for measuring reflected ultrasound and optical signals may include: an optical source; an optical assembly comprising at least one lens, configured to focus reflected optical illumination from a target onto a detector; and an ultrasound transducer aligned to transmit and receive ultrasound radiation co-axially with the reflected optical illumination and wherein the ultrasound transducer at least partially obstructs a path of the reflected optical illumination. An obstruction may be distant from a focal spot of the optical assembly. The device for measuring reflected ultrasound and optical signals may be particularly useful for characterizing fluid behind an ear drum to diagnose otitis media.

Examples of system for ambient aversive sound detection, identification and management are described. The system comprises an earpiece device with a microphone configured to capture ambient sound around a user and sample it into small segments of the ambient sound, a speaker and a regulator to regulate the ambient sound segment transmitted to the speaker. The system further comprises a processing unit that identifies aversive ambient sound signals in the captured sound segment and provide recommendation action to manage the aversive sound signal by removing, supressing, attenuating or masking the aversive signals.

Trained machine learning models can be used for analysis of signals obtained through an in-ear or on-body device. Signals can be analyzed to determine information related to activities such as eating, chewing, drinking, coughing, or sneezing. In addition, data from an in-ear thermometer or other data sensors can be analyzed in conjunction with the machine learning models to provide data or recommendations to a user on a user device or initiate an action.

An earphone includes a loudspeaker, a microphone, a housing supporting the loudspeaker and microphone, and ear tip surrounding the housing and configured to acoustically couple both the loudspeaker and the microphone to an ear canal of a user, and to acoustically close the entrance to the user's ear canal. A processor provides output audio signals to the loudspeaker, receives input audio signals from the microphone, extracts a rate of respiration from the input audio signals, adjusts the output audio signals based on the extracted rate of respiration, and provides the adjusted output audio signals to the loudspeaker.