System and method for personalized hearing aid adjustment
地域：
Gan Yoshiya
摘要
According to some embodiments, there is provided a method for personalized hearing aid adjustment, the method including receiving a user-initiated input regarding a perceived deficiency in the user's hearing experience, providing to the user, using a detection algorithm, a suggestion regarding an issue potentially related to the perceived deficiency in the user's hearing experience, receiving from the user a second user input regarding the relevancy of the suggested issue; wherein when the second user input is indicative of the suggested issue being relevant to the perceived deficiency in the user's hearing experience, providing a suggested solution to the perceived deficiency utilizing a solution algorithm, wherein the suggested solution comprises adjusting one or more parameters of the hearing aid.
說(shuō)明書
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The present disclosure relates generally to the field of personalized adjustment of hearing solutions, in particular personalized adjustment of hearing aids, specifically adjustments executable by a user of the hearing aid, using artificial intelligence.
Modern hearing aids are today most often controlled by digital data processors and signal processors.
However, typically programming and adjusting of parameters of the hearing aid requires a user to make an appointment with a hearing professional (typically an audiologist) and to come into an office that has the necessary equipment. This imposes the inconvenience, expense and time consumption associated with travel to a remote location, which is particularly problematic for users with limited mobility, users who live in remote areas, and/or users who live in developing countries where a hearing professional may not be available.
Additionally, the hearing professional's office is normally a relatively quiet environment and background noises from crowds, machines and other audio sources that exist as part of a user's real-life experiences are typically absent.
Automated solutions that claimed to obviate or at least reduce the need for face-to-face visits have been disclosed. Typically, these solutions are based on machine learning algorithms that are applied on data obtained from a plurality of users and are automatically applied, for example, in response to changes in the acoustic environment of the user sensed by a microphone positioned on the hearing aid.
權(quán)利要求
The invention claimed is:1. A method of personalized hearing aid adjustment, the method comprising:receiving a user-initiated input regarding a perceived deficiency in the user's hearing experience, the deficiency related to the hearing aid, providing to the user, using a detection algorithm, a suggestion regarding an issue potentially related to the perceived deficiency in the user's hearing experience, receiving from the user a second user input regarding the relevancy of the suggested issue;wherein when the second user input is indicative of the suggested issue being irrelevant to the perceived deficiency in the user's hearing experience, a revised suggested issue is provided using the detection algorithm, and wherein when the second user input is indicative of the suggested issue being relevant to the perceived deficiency in the user's hearing experience, provide a suggested solution to the perceived deficiency utilizing a solution algorithm, wherein the suggested solution comprises adjusting one or more parameters of the hearing aid. 2. The method of claim 1 , wherein the deficiency in the user's hearing experience is selected from sound loudness, sound quality, interfering noises, perception of the user's own voice, acoustic feedback, technical problems, or any combination thereof. 3. The method of claim 1 , wherein the one or more parameters is selected from increasing gain for a specific channel, decreasing gain for a specific channel, replacing the dome of the hearing aid, adding/changing a hearing program, replacing the battery, and enabling/disabling specific features, or any combination thereof. 4. The method of claim 1 , wherein the user-initiated input is a textual description and wherein the detection algorithm is configured to derive the issue from the textual description, wherein deriving the issue from the textual description comprises identifying key elements indicative of the issue in the textual description. 5. The method of any one claim 1 , wherein the solution algorithm is an artificial intelligence algorithm taking into consideration expert knowledge, user profile, the user's audiogram, current hearing aid parameter values, previous adjustments made to the hearing aid parameters, changes previously made by the user in a same environment, trend in changes of hearing aid parameters, the user's acoustic fingerprint, and any combination thereof. 6. The method of claim 1 , further comprising requesting authorization from the user and/or an authorized audiologist to implement the suggested solution. 7. The method of claim 1 , further comprising providing instructions to the user regarding the implementation of the suggested solution. 8. The method of claim 1 , further comprising requesting the user's follow-up input regarding the perceived efficacy of the suggested solution after its implementation. 9. The method of claim 8 , further comprising updating the solution algorithm based on the user's follow-up indication. 10. The method of claim 1 , wherein the suggested solution comprises a set of incremental changes to the one or more parameters, the incremental changes configured for being applied gradually after initial implementation of the suggested solution. 11. The method of claim 1 , further comprising generating one or more sound environment categories, each category comprising a solution previously implemented for the user in association with the sound environments. 12. The method of claim 1 , further comprising prompting the user to apply a previous implemented solution when entering a similar sound environment, wherein the prompting to apply a previous implemented solution is based on a temporal or spatial prediction. 13. The method of claim 1 , further comprising establishing an overt or hidden remote session with a hearing professional. 14. The method of claim 1 , further comprising providing a positive feedback to the user. 15. A system for personalized hearing aid adjustment, the system comprising a processing logic configured to:receive a user-initiated input regarding a perceived deficiency in the user's hearing experience, the deficiency related to the hearing aid, apply a detection algorithm on the user-initiated input, the detection algorithm configured to derive an issue potentially related to the perceived deficiency in the user's hearing experience from the user-initiated input, and upon receiving a user confirmation of the issue being relevant to the perceived deficiency in the user's hearing experience, provide a suggested solution to the perceived deficiency utilizing a solution algorithm, wherein the suggested solution comprises a proposed adjustment of one or more parameters of the hearing aid. 16. The system of claim 15 , wherein the processing logic is further configured to provide a revised suggested issue, if the suggested solution is indicated by the user as being irrelevant to the suggested issue. 17. The system of claim 15 , wherein the one or more parameters is selected from increasing gain for a specific channel, decreasing gain for a specific channel, replacing the dome of the hearing aid, adding/changing a hearing program, replacing the battery, and enabling/disabling specific features, or any combination thereof. 18. The system of claim 15 , wherein the solution algorithm is an artificial intelligence algorithm taking into consideration expert knowledge, user profile, the user's audiogram, current hearing aid parameter values, previous adjustments made to the hearing aid parameters, changes previously made by the user in a same environment, trend in changes of hearing aid parameters, the user's acoustic fingerprint, and any combination thereof. 19. The system of claim 15 , further comprising a hearing aid operationally connected to the processing logic. 20. The system of claim 15 , wherein the processing logic is further configured to establish an overt or hidden remote session with a hearing professional.
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