Hearing Aid Fitting Device Hierarchical Database Adjustment
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Solution Overview
Problem
Conventional hearing aid fitting devices require a lengthy process due to the need for repeated recombination and mutation of parameters using interactive genetic algorithms, making the adjustment process time-consuming for both technicians and users.
Innovation Solution
A hearing aid fitting device with a hierarchically classified database that stores adjustment data by similarity, allowing for efficient selection and application of fine adjustment data through a user-friendly interface, reducing the number of listening comparisons needed.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If interactive genetic algorithm is used to allow users to perform adjustment themselves, then ease of operation is improved, but adjustment time increases significantly
Solution Approach 1:
The system performs preliminary classification and ranking of adjustment data before the user needs to make adjustments. By pre-organizing the data structure and pre-calculating potential adjustments, the system reduces the time required for actual user interaction while maintaining ease of operation.
Solution Approach 2:
The system creates and presents multiple copies of adjusted hearing aid parameters to the user for comparison. Instead of requiring the user to perform complex adjustment operations, the system generates and displays multiple preset adjustment options that the user can select from, reducing both the complexity of operation and the time required.
2Manufacturing precision
If repeated recombination and mutation operations are performed to converge on optimal parameters, then manufacturing precision of fitting is improved, but adjustment time increases
Solution Approach 1:
The adjustment process is segmented into discrete, pre-defined categories and levels. Instead of performing continuous recombination and mutation operations, the system divides the adjustment space into manageable segments (classification levels) that can be navigated systematically, reducing the time required to achieve precise fitting.
Solution Approach 2:
The system replaces the mechanical iterative process of recombination and mutation with a more efficient data-driven approach. By using pre-classified adjustment data and intelligent search algorithms, the system achieves precise fitting without requiring repeated manual or automated trial-and-error operations.
Data Source
AI summary
The present invention relates to a hearing aid fitting device, and an objective thereof is to improve usability thereof. To achieve this object, the fitting device (1) of the present invention comprises a hierarchical classification database (12) and an adjustment data determination component (20). A plurality of pieces of adjustment difference data obtained by the fitting of a hearing aid is hierarchically classified according to similarity in the amount of adjustment and is saved in the hierarchical classification database (12). The adjustment data determination component (20) determines fine adjustment data for the hearing aid by selecting a cluster from among a plurality of clusters in each hierarchical layer.


