A hearing instrument charger device for charging an individually shaped hearing instrument, includes: a charger casing; a charger power supply within the charger casing; a first charger coil connected to the charger power supply; charger electronics for controlling charging of the hearing instrument; and a holder configured for receiving the hearing instrument, the holder located within the charger casing; wherein the holder for the hearing instrument has a shape that is specific for the individually shaped hearing instrument, such that when the individually shaped hearing instrument is received in the holder, a second charger coil of the individually shaped hearing instrument is in an operative position for receiving charging power from the first charger coil of the hearing instrument charger device.

A hearing system includes a processing device, a hearing aid adapted to be worn by a user, and a data logger. The hearing aid includes an input transducer providing an electric input signal representing sound in the environment of the user, and a hearing aid processor executing a processing algorithm in dependence of a specific parameter setting. The data logger stores time segments of said electric input signal, and data representing a corresponding user intent. The processing device comprises a simulation model of the hearing aid. The simulation model is based on a learning algorithm configured to provide a specific parameter setting optimized to the user's needs in dependence of a hearing profile of the user, the logged data, and a cost function. A method of determining a parameter setting for a hearing aid is further disclosed.

A hearing aid system is provided that facilitates adjustment of signal processing parameters θ of the hearing aid system with minimum user intervention, wherein the hearing aid system is capable of calculating signal processing parameters θ for evaluation of the user when the user has entered an input, e.g. using a smartwatch, to this effect. The evaluation takes place for a certain time period and in the event that the user has entered a consent input indicating that he or she is pleased with the set θ of signal processing parameters under evaluation, the hearing aid system continues processing with those signal processing parameters; and if the user is not pleased with the signal processing parameters θ under evaluation, the hearing aid system calculates another set {circumflex over (θ)} of signal processing parameters for evaluation of the user.

The present subject matter relates to an improved connection assembly for hearing assistance devices. The improved connection assembly provides a connection system that is reliable, straightforward to manufacture, and easy to use. The present connection assembly provides a rapid replacement option for the cable and/or the receiver or other electronics connected to the cable. The present subject matter provides for a connection assembly that can be extended to provide connections for a variety of applications which are not limited to a speaker (receiver) in the ear. Sensors and new configurations of component placement are supported using the present assembly, including, but not limited to telecoils, and GMR or TMR sensors. Various electromagnetic interference issues are addressed. In some examples a shielded set of wires are included. In some examples a twisted pair of wires is included. Various combinations of wires for different applications are supported with the present connector system.

A method of operating an in-situ fitting system (100) adapted to suggest an improved hearing aid parameter setting for a current user based on evaluated hearing aid parameter settings from a plurality of other users. The invention is also directed at an in-situ fitting system adapted to carry out said method.

Disclosed herein, among other things, are methods and apparatus for hearing assistance devices, and in particular to behind the ear and receiver in canal hearing aids with distributed processing. One aspect of the present subject matter relates to a hearing assistance device including hearing assistance electronics in a housing configured to be worn above or behind an ear of a wearer. The hearing assistance device includes an ear piece configured to be worn in the ear of the wearer and a processing component at the ear piece configured to perform functions in the ear piece and to communicate with the hearing assistance electronics, in various embodiments.

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 hearing device is disclosed. The hearing device comprises a plurality of antennas. The hearing device comprises electronic components including a first electronic component. The plurality of antennas comprises a first antenna and a second antenna. The first antenna may comprise a coil part coiled along a first antenna axis. The first antenna may be configured for magnetic induction communication. The second antenna may be configured for communication in a frequency band in the GHz range. The second antenna may comprise a shielding part configured to shield the first antenna.

The present disclosure provides systems and method for adjusting the audio output of a wearable device based on an audio gain profile of a user. The wearable device may receive an audiogram indicating one or more frequency ranges associated with hearing loss. The wearable device may determine the audio gain profile based on the audiogram. The wearable device may use one or more adjustment modules to determine a gain to apply to the audio output based on the audio gain profile. The adjustment modules may include an active noise control module, a hearing assistance module, and a transparency control module. The wearable device may determine the amount of gain to apply using a least mean square algorithm and/or a machine learning model.

An electronic device is provided. The electronic device includes a housing, a battery, which is disposed in an inner space of the housing, includes a first surface facing a first direction, a second surface facing a second direction different from the first direction, a third surface facing a third direction different from the first direction and the second direction, and a first electrode disposed on the first surface and a second electrode disposed on the second surface, a printed circuit board including a first part disposed to be spaced a predetermined distance apart from the first surface of the battery, a power management circuit configured to provide power used for an operation of the electronic device to at least one electronic component disposed inside the electronic device by using power of the battery, and a second part electrically connected to the battery and disposed to surround at least a part of the second surface and/or the third surface of the battery, an antenna electrically connected to the printed circuit board and configured to communicate with an external electronic device, and a connection member disposed on the first surface of the battery and configured to electrically connect the first part of the printed circuit board and the first electrode of the battery.