Hearing Aid Dynamic Audiograms for Real-Time Profile Adaptation
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Solution Overview
Problem
Traditional hearing aid management requires 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, allowing real-time, user-driven customization through a smart device application, using listening intelligence and frequency enhancement to dynamically adjust hearing profiles based on ambient sound analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If traditional hearing aid management is used with clinic-based audiogram assessment, then professional hearing testing accuracy is ensured, but patient convenience deteriorates and repeated facility visits are required
Solution Approach 1:
The system enables patients to perform self-service hearing assessments using the hearing aid device itself. The device captures ambient sound, processes it through embedded algorithms to generate an audiogram, and allows patients to view and manage their hearing profiles without requiring professional facility visits, thereby significantly improving convenience and eliminating time loss from repeated trips
Solution Approach 2:
The hearing aid device is transformed into a multi-functional tool that not only provides hearing assistance but also performs audiogram assessment, hearing profile generation, and hearing aid fitting. This consolidation of multiple functions into a single wearable device eliminates the need for separate clinic visits for testing and fitting, directly addressing the convenience and time loss issues
2Adaptability or versatility
If static clinic-derived audiograms are used, then professional assessment accuracy is maintained, but adaptability to changing patient needs and environments deteriorates
Solution Approach 1:
The system transitions from static, fixed audiograms obtained in the clinic to dynamic, continuously updateable hearing profiles. The device captures ambient sound in real-world environments, processes it through signal processing algorithms to generate updated audiograms, and automatically adjusts hearing aid settings based on changing patient needs and acoustic conditions, thereby achieving high adaptability
Solution Approach 2:
The system implements a feedback loop where the hearing aid continuously monitors ambient sound, compares it against the patient's hearing profile, and automatically adjusts frequency-specific gains and settings. This closed-loop feedback mechanism enables real-time adaptation to changing acoustic environments and patient needs without requiring manual intervention or increased system complexity
3Productivity
If real-time adaptive hearing profiles are implemented, then hearing optimization is improved, but device complexity increases
Solution Approach 1:
The hearing optimization process is segmented into distinct functional modules: ambient sound capture by microphones, signal processing to extract speech and noise components, audiogram generation from processed signals, profile storage and management, and automatic setting adjustment. This segmentation allows each function to be optimized independently while working together to achieve hearing optimization without proportionally increasing overall device complexity
Solution Approach 2:
The system replaces traditional mechanical adjustment mechanisms with electronic and software-based solutions. Instead of physical dials and switches for audiogram adjustment, the system uses digital signal processing, embedded algorithms for audiogram generation from ambient sound, and software-controlled frequency-specific gain adjustment, thereby achieving sophisticated hearing optimization without proportional increases in device complexity
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.