Adaptive Hearing Profiles for Real-Time Audiogram Tuning
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Solution Overview
Problem
Conventional hearing aid systems require repeated visits to specialized facilities for audiogram assessment and fitting, imposing logistical challenges and delaying optimization of hearing aid settings to accommodate evolving patient needs.
Innovation Solution
A hearing aid system with a vivo adaptare audiogram embedded in the device, enabling real-time, user-driven customization through a smart device application, using harmonics-based testing and AI-driven frequency enhancement to dynamically adjust hearing profiles in response to real-world conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional hearing aid systems require repeated visits to specialized facilities for audiogram assessment and fitting, then professional audiogram assessment and fitting can be performed, but logistical challenges increase and time is lost
Solution Approach 1:
The hearing aid system enables patients to perform self-assessment of their hearing needs through integrated audiogram capabilities. The device automatically captures hearing data, processes it through algorithms, and generates personalized hearing profiles without requiring facility visits. This self-service approach maintains assessment accuracy while eliminating the time loss associated with repeated professional facility visits.
Solution Approach 2:
The hearing aid device integrates multiple functions including audiogram assessment, hearing profile generation, and real-time audio processing within a single portable device. This multi-functionality allows the device to perform both professional-grade assessment and continuous optimization in the field, replacing the need for separate facility visits while maintaining measurement precision.
2Reliability
If conventional hearing aid systems require repeated visits to specialized facilities for adjustments, then hearing aid settings can be optimized, but logistical challenges and convenience deteriorate
Solution Approach 1:
The system automatically monitors the user's hearing environment and performance needs, then self-adjusts hearing aid settings based on real-time data. The device performs continuous optimization without requiring manual intervention or facility visits, maintaining reliable hearing aid performance while maximizing ease of operation through fully automated adjustments.
Solution Approach 2:
The hearing aid system continuously collects feedback data from the user's listening environment and performance metrics, processes this information through algorithms, and automatically adjusts settings to optimize performance. This closed-loop feedback system ensures reliable optimization while eliminating the need for manual adjustments at facilities, greatly improving convenience.
3Device complexity
If static audiograms are used in traditional hearing aids, then simple device operation is maintained, but adaptability to evolving patient needs and real-world conditions is limited
Solution Approach 1:
The system transitions from static audiograms to dynamic, adaptive hearing profiles that automatically adjust to changing hearing needs and environmental conditions. The device continuously updates hearing parameters based on real-time data while maintaining a simple user interface. This dynamic approach preserves device simplicity from the user's perspective while dramatically improving adaptability to evolving needs.
Solution Approach 2:
The system pre-processes and stores multiple hearing profiles and environmental conditions in advance, allowing it to quickly adapt to changing situations without complex real-time calculations. By preparing adaptive profiles beforehand and automatically selecting appropriate ones based on current conditions, the system maintains simple operation while achieving high adaptability to evolving patient needs.
Data Source
AI summary
A hearing aid system is disclosed that automates selection or creation of hearing profiles using a dynamically customizable vivo adaptare audiogram. The hearing aid and a smart device communicate via a programming interface, where the smart device runs processor-executable instructions for a listening intelligence and frequency enhancement function. An artificial intelligence module evaluates ambient sound, compares it to stored hearing profiles specifying frequency adjustments, and either selects one or merges multiple profiles to form a new profile. The chosen profile is activated in real time, with the option to store it for later use. Available modes include “Test and Store,” capturing ambient sound to refine a profile, and real-time adaptation, which continuously applies incremental changes without repeated user input.