The present invention relates to a digital content-based method for providing therapeutics information, the method comprising: a first step of performing stimulation on a brain of a user to obtain fNIRS (functional near-infrared spectroscopy) data of the user; a second step of extracting a first brain activation area from a plurality of brain areas of the user using the obtained fNIRS data; a third step of determining a first brain state of the user, based on the first brain activation area; a fourth step of providing the user with a content determined corresponding to the first brain state determined in the third step under an XR (Extended Reality) environment; a fifth step in which the user performs a mission corresponding to the content; a sixth step of extracting a second brain activation area from the plurality of brain areas with reference to the fNIRS data of the user following performing the mission; and a seventh step of determining a second brain state of the user, based on the second brain activation area; an eighth step of determining information related to amelioration of the brain state of the user.

A method for providing an auditory program according to an embodiment of the present disclosure may include: decoding, by a processor, first audiovisual data including a target sound to be aurally perceived by a user and an ambient sound reflecting a real-life environment, and playing back the first audiovisual data through a display and a speaker; receiving, by the processor, the user's input based on the result of aural perception of the target sound from the user through a user interface; and changing, by the processor, at least one of parameters of the audiovisual data, based on the user's input, and playing back the audiovisual data through the speaker or the display, or determining a fitting parameter of an assistive listening device, based on the user's input.

An audio system for user hearing assessment includes one or more audio capture devices, and processing circuitry. The one or more audio capture devices are configured to capture audio of a conversation of a user and convert the audio to audio signals. The processing circuitry is configured to use the audio signals to identify multiple conditions associated with user hearing difficulty. The conditions include any of words, phrases, frequencies, or phonemes, and environmental audio conditions that are followed by an indication of user hearing difficulty. The processing circuitry is configured to generate a hearing profile for the user based on the identified conditions associated with user hearing difficulty. The processing circuitry is configured to adjust an operation of an audio output device using the hearing profile to reduce a frequency of user hearing difficulty if the user requires audio enhancement.

A middle ear sound transmission characteristics evaluation system includes a probe; a measuring probe that includes an actuator that vibrates the probe and a force sensor that outputs a voltage in accordance with a reaction force exerted to the actuator when a tip of the probe is brought into contact with ossicles; an electrode that is installed on or near a round window and detects a potential value of a cochlear microphonic when vibration is applied to the ossicles by the probe; a database that stores a sensor voltage value output by the force sensor before surgical treatment, the potential value detected by the electrode, and surgical details; and a surgical details proposing unit that proposes selected surgical details on the basis of the magnitude of at least one of the sensor voltage value and the potential value measured before surgery with reference to the database.

In one aspect of the present disclosure, method includes: receiving neural data responsive to a listener's auditory attention; receiving an acoustic signal responsive to a plurality of acoustic sources; for each of the plurality of acoustic sources: generating, from the received acoustic signal, audio data comprising one or more features of the acoustic source, forming combined data representative of the neural data and the audio data, and providing the combined data to a classification network configured to calculate a similarity score between the neural data and the acoustic source using one or more similarity metrics; and using the similarity scores calculated for each of the acoustic sources to identify, from the plurality of acoustic sources, an acoustic source associated with the listener's auditory attention.

An auditory device assembly (1) comprises an earpiece (3) having an audio output device (7) for an ear (9) of a user and an audio processing unit (11, 33). The audio processing unit (11, 33) has a hearing-test mode and an audio streaming mode. In the hearing test mode the audio processing unit (11, 33) is arranged to determine at least one ear characteristic of the ear of the user based on at least one hearing test. In the audio streaming mode the audio processing unit (11, 33) is arranged to output an audio stream via the audio output device (7). The audio processing unit (11, 33) is arranged to adjust the output of the audio stream in the audio streaming mode based on the at least one ear characteristic determined in the hearing-test mode.

A method for evaluating hearing of a user comprising: generating a baseline hearing profile for the user comprising a set of gain values based on a volume setting, each gain value in the set of gain values corresponding to a frequency band in a set of frequency bands; accessing a soundbite comprising a phrase characterized by a frequency spectrum predominantly within one frequency band; playing the soundbite amplified by a first gain in the frequency band; playing the soundbite amplified by a second gain in the frequency band; receiving a preference input representing a preference of the user from amongst the soundbite amplified by the first gain and the soundbite amplified by the second; and modifying a gain value, corresponding to the frequency band, in the baseline hearing profile based on the preference input to generate a refined hearing profile compensating for hearing deficiency of the user.

An audio system for user hearing assessment includes one or more audio capture devices, and processing circuitry. The one or more audio capture devices are configured to capture audio of a conversation of a user and convert the audio to audio signals. The processing circuitry is configured to use the audio signals to identify multiple conditions associated with user hearing difficulty. The conditions include any of words, phrases, frequencies, or phonemes, and environmental audio conditions that are followed by an indication of user hearing difficulty. The processing circuitry is configured to generate a hearing profile for the user based on the identified conditions associated with user hearing difficulty. The processing circuitry is configured to adjust an operation of an audio output device using the hearing profile to reduce a frequency of user hearing difficulty if the user requires audio enhancement.

A device for determining the frequency of a dominant tone of a tinnitus perceived by a patient. A tone generator plays tones, an input unit receives patient evaluations, and a controller carries out a similarity measurement and a comparison of pairs of tones. The controller controls the tone generator for the similarity measurement to generate successive tones, and, after playing a respective tone, receive patient's evaluation regarding the similarity of the tone to the dominant tone of the tinnitus. The controller also controls the tone generator for the comparison of pairs of tones to play successive pairs of tones, and, after playing a respective pair, receives the patient's evaluation as to which tone of the pair is more similar to the at least one dominant tone of the tinnitus. Using the results, the frequency most similar to the frequency of the dominant tone of the tinnitus can be determined.

Techniques are provided for mobile platform based detection and prevention (or mitigation) of hearing loss. An example system may include a hearing loss indicator data generation circuit configured to measure hearing loss indicator data associated with use of the device by a user. The hearing loss indicator data may include ambient sound characteristics, user speech volume level and user volume setting of the device. The system may also include an audio context generation circuit configured to estimate context data associated with use of the device. The context data may be based on classification of audio input to the device and on the location of the device. The system may further include an interface circuit configured to collect the hearing loss indicator data and the context data over a selected time period and provide the collected data to a hearing loss analysis system at periodic intervals.