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 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.

A method for conducting a cross frequency simultaneous masking (xF SM) test begins with generating a signal probe and a masker probe. The center frequencies of the signal and masker probes are separated by a fixed frequency ratio. An xF SM curve is generated by sweeping the signal and masker probes across a given frequency range, while maintaining the fixed frequency ratio between the two. While sweeping, the masker probe is maintained at a pre-determined masker amplitude or a series of pre-determined masker amplitudes. The amplitude of the signal probe is adjusted in response to a series of user inputs, which are then interpolated to generate the xF SM curve. Additionally, while sweeping, the signal probe can be maintained at one or more pre-determine amplitudes and the amplitude of the masker probe adjusted in response to user inputs, which are then interpolated to generate the xF SM curve.

A system for measuring tinnitus of a patient using a Bayesian minimum-entropy psychometric procedure for which a probabilistic model of the patient's behavior is combined with an optimal statistical-inference method to generate a test sound to be presented to the patient. The test sound includes a sequence of sound components selected and arranged to facilitate, expedite, and improve the reliability of tinnitus measurements.

An objective screening platform for mTBI screening includes a vergence testing stimulus generator visible to a subject and configured for presenting visual stimulus to a subject which forms an optical target stimulus for at least one vergence test; at least one data acquisition unit for obtaining objective physiologic responses of the subject unit based upon each of the visual stimulus presented to the subject in each test, wherein the objective physiologic responses for each test include at least one eye position parameter and at least one pupil area parameter; and a controller configured for using at least one eye position parameter and at least one pupil area parameter to screen for the presence of mTBI of the subject.

A system is disclosed for configuring a hearing device. The system comprises an audiogram processing component arranged to process image data indicative of an image of an audiogram associated with a person so as to produce audiogram data indicative of the audiogram, and a hearing device configuration component arranged to produce hearing device configuration data based on the audiogram data. The configuration data is indicative of configuration settings for a hearing device that will cause the hearing device to assist the hearing of the person.

A self-fitting hearing aid having built-in pure tone signal generator is disclosed, comprising a hearing aid and external software. self-fitting is performed to experience a compensation effect through cooperating the compensation form provided by an digital signal processing system with corresponding App fitting software on a computer or mobile phone terminal. Hearing-impaired persons can directly perform self-hearing tests, and the system compiles corresponding parameters, such as frequency, decibel, inflection point and compression ratio according to data of the self-hearing tests, without external devices for various tests. Differences in parameters of the external test devices are avoided through the internal digital signal processing system and the built-in hearing test module in the hearing aid. A speaker inside the same hearing aid is used to the test-fitting and the hearing aid in the disclosed, which simplifies fitting procedures and improves the accuracy of the hearing test and fitting.

Disclosed are systems and methods for user-dependent conditioning of stimuli in tests to elicit user responses to variations of one or more adaptive parameters of a user stimulus signal. The user stimulus signal is generated based on first and second adaptive parameters. The first adaptive parameter is modified to thereby generate a plurality of successive variations in the user stimulus signal, over one or more ranges of values of the second adaptive parameter. In response to modifying the first adaptive parameter, a plurality of user responses from a given user are received. Each user response indicates that one of the plurality of successive variations in the user stimulus signal has occurred. Based on an expected user response curve for the given user and a calculated time interval between successive user responses, an instantaneous rate of change for modifying the first adaptive parameter is adjusted such that the user responses are steered toward a neutral state around the expected user response curve.

Real-time head and spine alignment, position and other physiological parameters are detected to measure human being health and wellness status. A wearer is reminded to actively correct spinal curvatures and the system may further interfere if head and spinal mal-position or other injury or disease parameters are detected by the system's sensor devices. The system includes wearable universal sensor modules that are attached and detached easily from receiver units having different formats for different body locations depending on their physiological functions. The system is designed to analyze, by artificial intelligence, data from each universal sensor module and provide accurate feedback that can be used by health professionals to monitor remote individual health status and notify a wearer to prevent and correct mal-position or injury or disease status.

A method for conducting a cross frequency simultaneous masking (xF SM) test begins with generating a signal probe and a masker probe. The center frequencies of the signal and masker probes are separated by a fixed frequency ratio. An xF SM curve is generated by sweeping the signal and masker probes across a given frequency range, while maintaining the fixed frequency ratio between the two. While sweeping, the masker probe is maintained at a pre-determined masker amplitude or a series of pre-determined masker amplitudes. The amplitude of the signal probe is adjusted in response to a series of user inputs, which are then interpolated to generate the xF SM curve. Additionally, while sweeping, the signal probe can be maintained at one or more pre-determine amplitudes and the amplitude of the masker probe adjusted in response to user inputs, which are then interpolated to generate the xF SM curve.