An ear-wearable electronic device includes one or more processors configured to detect presence of first and second hearing devices in a charging case, and to initiate a self-check protocol by at least one of the first and second hearing devices. The self-check protocol comprises wirelessly coupling the first and second hearing devices, selectively activating at least one electronic component of the first hearing device, and assessing performance of the second hearing device using an output or a response of the at least one electronic component of the first hearing device. The self-check protocol also comprises selectively activating at least one electronic component of the second hearing device, assessing performance of the first hearing device using an output or a response of the at least one electronic component of the second device, and storing results of the performance assessment in a memory.

A device for monitoring a health parameter of a person is disclosed. The device includes a device body, a radio frequency (RF) front-end connected to the device body and including a semiconductor substrate and an antenna array including at least one transmit antenna configured to transmit radio waves below the skin surface of a person and a two-dimensional array of receive antennas configured to receive radio waves, the received radio waves including a reflected portion of the transmitted radio waves, wherein the semiconductor substrate includes circuits configured to generate signals in response to the received radio waves, and an alignment feature integrated into the device body and configured to align the antenna array with an object.

A smartphone and tympanometer-based middle ear abnormality detection mobile system and a method for detecting middle ear abnormalities by a mobile computing device coupled to a tympanometer is disclosed. The method detects middle ear abnormalities by a smartphone-based tympanometer, thereby allowing mobility for medical practitioners to check for middle ear abnormalities in people unable to visit an ENT at a medical facility. The method is implemented as a software application that runs on the mobile computing device and displays results instantly to help determine any of several types of middle ear infection which may be present. This is a huge improvement over existing process where a doctor has to make that determination based on his/her interpretation of the tympanogram.

A processing system obtains a deformation signal generated by a deformation sensor. The deformation signal is indicative of a deformation of an outer ear of a user of a hearing instrument. Additionally, the processing system obtains an EMG signal generated by an electrode in a concha of the user, wherein the electrode is configured to detect activity of an intrinsic auricular muscle of the user. Furthermore, the processing system generates information regarding an auditory attention state of the user based on the deformation signal and the EMG signal. The processing system controls, based on the information regarding the auditory attention state of the user, the parameter of the audio system.

Provided is an earphone in which electroencephalogram electrodes come into close contact more readily when worn. An earphone includes a housing having elasticity on at least one end portion side outer layer, a speaker accommodated inside the housing, and an eartip that is fixed on the end portion side of the housing having the elasticity, and that includes a sound conduit portion through which sound from the speaker passes, and an elastic electrode that performs sensing of an electroencephalogram of a wearer.

Embodiments herein relate to ear-wearable devices and systems that can detect a risk of infection in a device wearer. In a first aspect, an ear-wearable infection sensor device is included having a control circuit, a microphone, a sensor package, and an electroacoustic transducer, wherein the electroacoustic transducer is in electrical communication with the control circuit.

The ear-wearable infection sensor device can be configured to analyze data from the sensor package to determine physiological parameters of a device wearer and evaluate the physiological parameters to detect the risk of an infection. Other embodiments are also included herein.

An ear-worn electronic device includes a right ear device comprising a first processor and a left ear device comprising a second processor communicatively coupled to the first processor. A physiologic sensor module comprises one or more physiologic sensors configured to sense at least one physiologic parameter from a wearer. A motion sensor module comprises one or more sensors configured to sense movement of the wearer. The first and second processors are coupled to the physiologic and motion sensor modules. The first and second processors are configured to produce a three-dimensional virtual sound environment comprising relaxing sounds, generate verbal instructions within the three-dimensional virtual sound environment that guide the wearer through a predetermined mental exercise that promotes wearer relaxation, and generate verbal commentary that assesses wearer compliance with the predetermined mental exercise in response to one or both of the sensed movement and the at least one physiologic parameter.

The present invention provides an eating monitoring method for judging whether chewing is performed or not by a chewing judgment algorithm on the basis of a temporal variation in a measured value of a sensor unit configured to detect a movement of a jaw while a person takes a meal, the person wearing a detection device comprising the sensor unit. The method includes the steps of: adjusting the chewing judgment algorithm on the basis of a variation in a measured value of the sensor unit, the variation corresponding to a chewing action or a mouth opening/closing action of the person wearing the detection device; and judging whether chewing is performed or not by the chewing judgment algorithm which has been adjusted, and measuring the number of chews on the basis of a temporal variation in a measured value of the sensor unit during the meal.

An exemplary hearing system that is configured to assist a user in hearing includes an in-the-ear (ITE) component configured to fit at least partially within an ear canal of the user while the hearing system is worn by the user, a first sensor electrode provided on a surface of the ITE component and configured to contact, while the hearing system is worn by the user, outer ear tissue of the user, and a second sensor electrode configured to be located, while the hearing system is worn by the user, at an entrance to or outside of the ear canal of the user. The first sensor electrode and the second sensor electrode may be configured to be used to detect a physiological attribute of the user while the hearing system is worn by the user. Corresponding methods and systems are also disclosed.

A wearable device for detecting and/or measuring physiological information from a subject includes a housing, at least one optical emitter supported by the housing, at least one optical detector supported by the housing, a first light guide supported by the housing, a second light guide supported by the housing, a motion sensor supported by the housing, and a processor supported by the housing. The processor is configured to calculate footsteps, distinguish footsteps from heart beats, and to remove footstep motion artifacts from signals produced by the at least one optical detector. Also, the processor is configured to process signals produced by the at least one optical detector to determine subject heart rate and to produce integrity data about the subject heart rate. The process is further configured to generate a multiplexed output serial data string comprising the subject heart rate and the integrity data.