A method and software program is used by patients in situ for fitting and refitting of a DSP-based hearing assistance device. Hearing is tested by selection of one of twenty four playbacks of speech, for each ear. Cognitive training/testing exercises test and train the user to relearn to distinguish between various sounds and particularly speech using the hearing assistance device. The preferred cognitive training/testing includes noise detection exercises, spatial hearing exercises, volume recognition exercises and speech differentiation exercises. The regimens for using the hearing aid depend upon the measured cognitive loss, with different sets of DSP parameters for self-directed, non-assessed cognitive training.

A hearing aid system includes an electric audio signal input, an audio input signal processing unit that is configured to process electric audio input signals in the first processing mode or in the second processing mode and to provide an electric audio output signal, and an output transducer. The hearing aid system further includes an audio input signal analysing unit that is configured to continuously monitor the electric audio input signal as a function of time and to determine and to provide a number of audio signal values each representing a characteristic of the electric audio input signal at a given time instance. The hearing aid system further includes a plurality of electrodes that are configured to be brought into contact with the skin of a user and which are configuredwhen operationally mounted to receive an electric signal that rep-resents a user's brain activity and to provide a respective EEG-related signal. The hearing aid system further includes an EEG-related signal analysing unit that is configured to continuously monitor the EEG-related signal as a function of time and to determine and to provide a number of EEG-related values each representing the EEG-related signal at a given time instance, a memory unit which is configured to store a number of audio signal values such that a first history of respective audio signal values is created and/or to store a number of EEG-related values such that a second history of respective EEG-related values is created and a signal comparison unit that is configured to compare a current audio signal value with at least one preceding audio signal value of the first history to determine and to provide a deviation signal and/or to compare a current EEG-related value with at least one preceding EEG-related value of the second history to determine a measure of a user's current cognitive load and to provide a cognitive load representing output signal accordingly. The audio input signal processing unit is further configured to apply the first processing mode or the at least second processing mode depending on the deviation signal and/or depending on the cognitive load representing output signal.

A system for validation of a hearing aid performance, especially in small children is disclosed. The validation of the performance of hearing aids after having being fitted to a small child who is not able to subjectively provide responses to sounds presented to the child via the hearing aids, is instead done in an objective manner, by using a naturally occurring signal, which has been modulated in order to create an ASSR evoking speech stimulus which is not considered as noise by a hearing aid.

A method of optimizing parameters in a hearing aid system and an in situ fitting system (200).

Embodiments of the present disclosure identify and alert a clinician to physiological cues thereby aiding the clinician in providing a better fitting of a medical prosthesis. Physiological data of a recipient of a medical prosthesis is analyzed to identify triggers during fitting or other types of adjustments to the prosthesis. A determination is then made as to whether the identified triggers correspond to a feedback event. If the triggers correspond to a feedback event, an alert containing information about the feedback event is generated and displayed or otherwise made available to the clinician.

The invention refers to a hearing aid system that comprises an electric audio signal input, an audio input signal processing unit that is configured to process electric audio input signals in the first processing mode or in the second processing mode and to provide an electric audio output signal, and an output transducer. The hearing aid system further comprises an audio input signal analysing unit that is configured to continuously monitor the electric audio input signal as a function of time and to determine and to provide a number of audio signal values each representing a characteristic of the electric audio input signal at a given time instance.

The hearing aid system further comprises a plurality of electrodes that are configured to be brought into contact with the skin of a user and which are configuredwhen operationally mountedto receive an electric signal that rep-resents a user's brain activity and to provide a respective EEG-related signal. The hearing aid system further comprises an EEG-related signal analysing unit that is configured to continuously monitor the EEG-related signal as a function of time and to determine and to provide a number of EEG-related values each representing the EEG-related signal at a given time instance, a memory unit which is configured to store a number of audio signal values such that a first history of respective audio signal values is created and/or to store a number of EEG-related values such that a second history of respective EEG-related values is created and a signal comparison unit that is configured to compare a current audio signal value with at least one preceding audio signal value of the first history to determine and to provide a deviation signal and/or to compare a current EEG-related value with at least one preceding EEG-related value of the second history to determine a measure of a user's current cognitive load and to provide a cognitive load representing output signal accordingly.

The audio input signal processing unit is further configured to apply the first processing mode or the at least second processing mode depending on said deviation signal and/or depending on said cognitive load representing output signal

A computing device includes: an input configured to be coupled to, or carried by, a user of a hearing device, the hearing device configured to receive sound from an environment defined by an acoustic scene; one or more memory units; and one or more processing units; wherein the one or more sensors are configured to measure a stress parameter related to stress of the user, the stress parameter being related to the acoustic scene; wherein the computing device is configured to obtain the measured stress parameter; and wherein the one or more processing units of the computing device comprise a program configured to determine an indication of stress of the user based on at least the stress parameter.

A method and a system for fitting a hearing device to a hearing loss of a user is devised. The method utilizes a data pool of existing hearing device fittings for training a deep neural network of the system to predict a dataset of gain value ranges for a hearing device fitting when the system is presented with a user profile comprising an audiogram, a set of user data, and a proposed hearing device. The dataset of gain value ranges predicted by the system may be subjected to statistical methods for providing a set of gain values suitable for being applied directly to the hearing device to be fitted. The system and the method may beneficially be used for automatically fitting an OTC hearing device, for checking a proposed hearing device fitting, or for updating an existing hearing device fitting, for instance when relevant data in the user profile changes.

An earphone system for use by a wearer includes earphone, a microphone, actuation switches, a battery with wireless charging and sensors for sensing biometrics of the wearer in the ear and environmental conditions. The individual earphones are arranged for communication with a portable communications device (PCD) for signal processing and external communication. The system is programed to transmit sounds from the PCD to the wearer, to provide enhanced hearing of sounds detected by the microphone to be transmitted to the wearer in dependence on a hearing test, for noise cancellation, to communicate different sounds to each earphone and for processing of biometrics data obtained by said sensor.

An ear stimulation device and related systems and methods for operating an ear stimulation device in connection with a computing device are described. Multiple factors are used in controlling the ear stimulation device, including a variety of factors relating to or influencing the state of the user. In various aspects, the system is also responsive to inputs from sensors or computing networks. System features include fault detection, stimulus cycling and sequencing, integration with other devices in a networked system, device control based on playlists, battery charging, and device status display features.