Disclosed are system and methods for automated fitting of a hearing aid, through an automated hearing test based upon which a suitable set of hearing aid parameters is determined.

One embodiment of the present invention provides a method comprising running a monitoring agent on a connected electronic device, and determining, via the monitoring agent, a level of hearing impairment of an individual user associated with the connected electronic device. The method further comprises, in response to determining the individual user has some level of hearing impairment, selecting a notification mechanism suitable for notifying the individual user based on the level of hearing impairment, and invoking the monitoring agent to notify the individual user of an event in accordance with the notification mechanism selected.

An equalizer adjustment method applied to an electronic device is disclosed. The equalizer adjustment method includes: storing an age gain value list in the storage module, wherein the age gain value list includes a plurality of age sections, each age section respectively includes a set of correction parameters, and the set of correction parameters includes a plurality of compensation gain values respectively corresponding to a plurality of target frequencies; via the hearing test module, providing a hearing test; obtaining a hearing test result of a user; via the age determination module and according to the hearing test result, obtaining the age section corresponding to the user; obtaining the set of correction parameters corresponding to the age section corresponding to the user; via the equalizer adjustment module and according to the set of correction parameters, adjusting gain value settings of the equalizer at different target frequencies.

An equalizer adjustment method applied to an electronic device is disclosed. The equalizer adjustment method includes: storing an age gain value list in the storage module, wherein the age gain value list includes a plurality of age sections, each age section respectively includes a set of correction parameters, and the set of correction parameters includes a plurality of compensation gain values respectively corresponding to a plurality of target frequencies; via the hearing test module, providing a hearing test; obtaining a hearing test result of a user; via the age determination module and according to the hearing test result, obtaining the age section corresponding to the user; obtaining the set of correction parameters corresponding to the age section corresponding to the user; via the equalizer adjustment module and according to the set of correction parameters, adjusting gain value settings of the equalizer at different target frequencies.

A system, device, and wireless computer technology-implemented method for providing hearing healthcare education and communication for a patient, his/her communication partner, and a hearing care provider. The system provides the patient at least one educational and experiential module and a method for assessing the patient's comprehension of the module's lessons. The system further provides the patient with a method to select personal hearing aid and communication goals; a method to evaluate his/her progress on achieving each personal goal; and a method to report his/her hearing experiences. The system further provides a method to compare data reported by the patient to personalized thresholds. When one or more of the patient's reports do not meet the thresholds, the system sends automated alerts to the hearing care provider to encourage prompt remedial action and sends automated reminders to the patient to improve the patient's ability to achieve his/her personal goals.

Disclosed is a system and method for individualized hearing aid prescription which consists of a test procedure that enables the fitting of an individualized estimation of the SII model to individual listeners efficiently and an optimization process which translates the resulting individualized model to the prescribed gains across frequencies for programming into the user's hearing aids. The test involves the recognition of one or more words presented in background noise, which better approximates the daily listening experiences of hearing-aid users compared to the pure-tone detection in a silent environment task which is commonly utilized during conventional audiometric testing. In the estimated SII model, five parameters describe in a custom fashion the relative weights of speech information across the five frequency bands for a given listener. The results from the speech test is used to determine the desirable amount of gain for each frequency region to optimize the user's aided speech intelligibility. The resulting gains for the individual may then be programmatically applied to the individual's prescribed hearing aid device(s).

An electronic apparatus and method for enhancement of audio for users with a hearing impairment in a shared listening environment is provided. The electronic apparatus receives first audio content from a media source and detects a first user with a hearing disability as a wearer of the personal listening device. The electronic apparatus modifies one or more features of the first audio content based on an audio enhancement profile associated with the detected first user. Thereafter, the electronic apparatus generates second audio content based on the modification and shares the generated second audio content with the personal listening device.

The present disclosure generally relates to techniques and user interfaces for interacting with research studies. In some embodiments, an electronic device displays a user interface that includes a task view with active tasks from multiple research studies. In some embodiments, an electronic device, while displaying a research study user interface, displays an indication of a problem that prevents enrollment in the research study when enrollment problem criteria are met. In some embodiments, an electronic device, while performing a hearing test, suspends the test and displays a restart affordance when the ambient noise level exceeds a threshold.

A computer-implemented method includes sending, by one or more processors of one or more computing devices, first instructions to a patient electronic device causing the patient electronic device to display a first graphical user interface that facilitates a hearing test between a patient and a provider of the hearing test. The computer-implemented method further includes sending, by the one or more processors, second instructions to a provider electronic device causing the provider electronic device to display a second graphical user interface that facilitates the hearing test.

The disclosed systems and methods include providing a plurality of sounds at varying intensity levels, and receiving an input indicative of a perceived volume level of the plurality of sounds as perceived by a user. The disclosed systems and methods include determining, based on the received input, a plurality of user volume levels that indicate a hearing sensitivity of the user. The disclosed systems and methods include providing a background sound, and concurrently while providing the background sound, providing a stimulus sound. The disclosed systems and methods include receiving an indication that the user perceived the stimulus sound. The disclosed systems and methods include determining a change in the hearing sensitivity of the user based on receiving the indication that the user perceived the stimulus sound, and predicting an onset of a migraine attack of the user based on determining the change in the hearing sensitivity of the user.