Hearing Aid Self-Adjustment via EEG Neural Feedback
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Solution Overview
Problem
The current hearing aid fitting process is prone to errors due to the lack of objective criteria for selecting sound amplification parameters, leading to poor user satisfaction and increased risk for manufacturers, as it relies heavily on subjective user feedback and limited clinical assessments.
Innovation Solution
A hearing aid that records acoustic stimuli and concurrent neural responses to estimate speech intelligibility, adjusting sound processing parameters automatically based on this correlation, reducing the need for user feedback and improving intelligibility over time.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If hearing aid parameters are adjusted based on subjective user feedback and limited clinical assessments, then the fitting process can be completed with existing methods, but the user satisfaction and speech intelligibility are poor
Solution Approach 1:
The patent replaces the mechanical/subjective feedback system with a neural recording system. Instead of relying on subjective user feedback about speech intelligibility, the system objectively measures neural responses (via EEG or other neural sensors) to directly assess how well the user understands speech, providing a more reliable and precise measurement criterion for parameter adjustment.
Solution Approach 2:
The patent implements a closed-loop feedback system where neural responses are continuously monitored and used to automatically adjust hearing aid parameters. The system measures neural activity in response to acoustic stimuli, compares it to expected patterns, and iteratively optimizes sound processing parameters to maximize speech intelligibility as indicated by the neural feedback.
2Manufacturing precision
If more frequent or ongoing user feedback is solicited after dispensing the device, then parameter adjustment accuracy may improve, but the process becomes cumbersome and less valuable for older populations
Solution Approach 1:
The hearing aid system performs self-adjustment by automatically monitoring its own performance through neural response measurement. The device independently evaluates the quality of sound processing by analyzing neural activity patterns and autonomously optimizes parameters without requiring the user to provide feedback, making the system easy to operate while maintaining high adjustment precision.
Solution Approach 2:
The system uses automatic neural feedback loops where the hearing aid continuously monitors neural responses to acoustic stimuli and uses this feedback to self-correct and optimize parameters. This eliminates the need for cumbersome manual feedback collection from users while maintaining precise parameter adjustment through objective neural measurement.
3Measurement precision
If individual speech features or components are detected and processed, then speech analysis precision improves, but computational resource expenditure increases significantly
Solution Approach 1:
The patent extracts only the essential information needed for parameter adjustment - the overall neural response pattern to speech - rather than processing and analyzing every individual speech feature or component. By focusing on the aggregate neural response to continuous speech segments, the system achieves sufficient measurement precision while avoiding the high computational cost of detailed speech feature analysis.
Solution Approach 2:
The system uses a partial approach to speech analysis by processing continuous speech segments as a whole rather than fully analyzing each individual phoneme or feature. This partial action provides sufficient information for parameter optimization without the excessive computational resources required for complete speech feature decomposition and analysis.
Data Source
Figure 1A~1B
Figure 1C~1D
Figure 1E~1F
AI summary
A hearing aid includes: a microphone configured to provide a microphone signal that corresponds with an acoustic stimulus naturally received by a user of the hearing aid; a processing unit coupled to the microphone, the processing unit configured to provide a processed signal based at least on the microphone signal; a speaker coupled to the processing unit, the speaker configured to provide an acoustic signal based on the processed signal; and a sensor configured to measure a neural response of the user to the acoustic stimulus, and to provide a sensor output; wherein the processing unit is configured to detect presence of speech based on the microphone signal, and to process the sensor output and the microphone signal to estimate speech intelligibility; and wherein the processing unit is also configured to adjust a sound processing parameter for the hearing aid based at least on the estimated speech intelligibility.