Hearing Aid Algorithm Adaptation via User Feedback
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Solution Overview
Problem
Existing hearing aid adjustment methods are limited in effectively learning and adapting to short-duration hearing situations, as they often fail to account for the individual's unique acoustic environments and cannot adequately simulate real-world spatial sound fields, leading to suboptimal settings.
Innovation Solution
A method and hearing device that utilize situation recognition and level measurement to identify and characterize hearing situations, allowing for the training of algorithms used briefly, such as maximum output level limiting, through a remote control or personal computer interface, enabling user evaluation and parameter adjustment based on satisfaction feedback.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If event-based learning is used to capture all user settings changes, then the learning algorithm can record all adjustments, but the algorithm cannot distinguish between meaningful and insignificant settings changes
Solution Approach 1:
The system performs preliminary actions by storing test signals and audio examples in advance on the hearing device or remote control, corresponding to all essential environmental situations. This allows the hearing aid to present predetermined acoustic scenarios to the user before actual use, enabling pre-evaluation of settings without waiting for real-world occurrences.
Solution Approach 2:
The system creates copies of real-world hearing situations through stored test signals and audio examples that replicate essential environmental conditions. These copied situations allow users to evaluate settings in controlled scenarios that mirror actual usage contexts, enabling meaningful feedback collection without requiring continuous real-world monitoring.
2Ease of manufacture
If traditional adjustment algorithms based on audiometric data are used, then the hearing aid can be configured with standard fitting formulas, but the settings cannot account for individual user needs in real acoustic situations
Solution Approach 1:
The system performs preliminary actions by storing test signals and audio examples in advance on the hearing device or remote control, corresponding to all essential environmental situations. This allows the hearing aid to present predetermined acoustic scenarios to the user before actual use, enabling pre-evaluation of settings without waiting for real-world occurrences.
Solution Approach 2:
The system introduces feedback mechanisms where users evaluate predetermined hearing situations and provide satisfaction feedback. This feedback is used to adaptively adjust hearing aid settings, creating a closed-loop system that continuously improves individualization based on user responses to controlled acoustic scenarios.
3Measurement precision
If the hearing aid wearer evaluates predetermined hearing situations, then the user can provide feedback on specific acoustic scenarios, but the evaluation process requires additional user time and interaction
Solution Approach 1:
The system performs preliminary actions by storing test signals and audio examples in advance on the hearing device or remote control, corresponding to all essential environmental situations. This allows the hearing aid to present predetermined acoustic scenarios to the user before actual use, enabling pre-evaluation of settings without waiting for real-world occurrences.
Data Source
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AI summary
The invention discloses a hearing device and an associated method for adjusting a hearing aid (1) comprising at least one hearing aid (1) and at least one external unit (11). The hearing device is characterized by: - a storage unit (5) in the hearing aid (1) that stores the times and listening situations at which at least one predefinable signal processing algorithm is activated, - an output unit (12) in the hearing aid (1) and/or the external unit (11) that outputs and/or displays the stored times, listening situations, and the activated algorithm, - an input unit (14) in the hearing aid (1) or the external unit (11) for inputting an evaluation measure (EM) that expresses a hearing aid user's satisfaction with the activated algorithm, and - a modification unit (7) in the hearing aid (1) for changing at least one parameter of the algorithm depending on the evaluation measure (EM).