Hearing Device Fitting Method Using Parameter Segmentation
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Solution Overview
Problem
The complex and time-consuming process of fitting hearing devices with multiple interdependent parameters requires a systematic and efficient method to optimize hearing performance, often relying on trial and error and extensive expertise.
Innovation Solution
A two-step method involving audiological tests to determine and adjust parameter ranges, ensuring that one parameter remains within a specified range while optimizing another, using functional relationships between parameters to achieve globally optimal hearing device settings.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If multiple interdependent parameters are adjusted to optimize hearing performance, then the quality of hearing device fitting is improved, but the complexity and time required for the fitting process increases
Solution Approach 1:
The fitting process is segmented into multiple independent optimization steps, where each step focuses on optimizing a specific parameter or subset of parameters. This allows the complex multi-parameter optimization problem to be broken down into manageable sub-problems that can be solved sequentially, reducing the overall complexity while maintaining fitting precision.
Solution Approach 2:
The method performs preliminary optimization of individual parameters before final integrated optimization. By pre-determining optimal ranges for each parameter independently, the search space for the final multi-parameter optimization is significantly reduced, making the overall process more efficient and less complex.
2Manufacturing precision
If multiple interdependent parameters are adjusted to optimize hearing performance, then the quality of hearing device fitting is improved, but the time required for the fitting process increases
Solution Approach 1:
The fitting process is divided into sequential optimization steps that can be executed efficiently. Each step optimizes specific parameters independently or with reduced interdependencies, allowing faster convergence compared to simultaneous optimization of all parameters, thus reducing total fitting time while maintaining precision.
Solution Approach 2:
Individual parameters are pre-optimized independently before the final integrated optimization step. This preliminary action reduces the dimensionality of the optimization problem in the final step, significantly decreasing the computational time and iterations required to achieve globally optimal settings.
3Adaptability or versatility
If trial and error method is used to adjust parameters, then flexibility in exploration is improved, but the efficiency and systematic nature of the fitting process deteriorates
Solution Approach 1:
The optimization method dynamically adapts the search strategy based on the functional relationships between parameters. It transitions from broad exploration to focused exploitation, systematically narrowing down the optimal parameter settings while maintaining flexibility to explore different regions of the parameter space based on observed performance.
Solution Approach 2:
The method incorporates feedback mechanisms where the results from each optimization step inform subsequent steps. By using the outcomes of individual parameter optimizations to guide the next optimization actions, the system systematically converges to optimal settings without relying on random trial and error, thereby improving efficiency while maintaining adaptability.
Data Source
AI summary
A method for fitting a hearing device to the needs and preferences of a user of the hearing device is disclosed. In a first step of the disclosed method, a first range for a parameter setting of a first parameter is determined based on a first audiological test performed with the user. In a second step of the disclosed method, the first parameter is adjusted to a first final parameter setting within the first range and/or a second parameter of the hearing device is adjusted to a second final parameter setting based on a second audiological test performed with the user. The second parameter is functionally related to the first parameter such that the first parameter is expressible as a function of the second parameter, and the adjusting is performed such that the first parameter setting remains within the first range. Additionally, corresponding fitting apparatuses and computer-readable media are disclosed.