Bilateral Cochlear Implant Interaural Coherence Analysis
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Solution Overview
Problem
Current cochlear implant systems face limitations in sound localization and speech understanding in noisy and reverberant conditions due to the non-adaptive use of temporal fine structure information, which is affected by noise and reverberation, and do not effectively handle echoes or secondary sound sources.
Innovation Solution
A bilateral hearing implant system that incorporates an interaural coherence analysis module to adaptively process microphone signals and generate stimulation timing signals using an envelope gating function, allowing for seamless switching between event-based and envelope-based coding strategies based on signal-to-noise ratio (SNR) and interaural coherence, enhancing sound localization and speech perception.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If temporal fine structure information is used for coding, then sound localization capability is improved, but performance in noisy and reverberant conditions deteriorates
Solution Approach 1:
The system dynamically switches between coding strategies based on listening conditions. An interaural coherence analysis module continuously evaluates the acoustic environment and adaptively selects between temporal fine structure-based coding (for sound localization in quiet conditions) and envelope-based coding (for speech understanding in noisy conditions), making the system flexible and condition-optimal
Solution Approach 2:
The system changes the coding parameter based on environmental conditions. When interaural coherence is high (quiet conditions), temporal fine structure information is prioritized for accurate sound localization. When interaural coherence is low (noisy/reverberant conditions), the system switches to envelope-based coding to maintain speech understanding performance
2Reliability
If envelope-based coding is used, then speech understanding in noisy conditions is improved, but sound localization capability deteriorates
Solution Approach 1:
The system dynamically adjusts the coding strategy based on real-time analysis of interaural coherence. In noisy conditions where envelope-based coding provides better speech understanding, the system switches to this mode while preserving the ability to revert to temporal fine structure coding when conditions improve, ensuring optimal performance across varying environments
Solution Approach 2:
The coding parameter is changed from temporal fine structure to envelope representation when noisy conditions are detected. This parameter change prioritizes speech understanding reliability while the system maintains the capability to switch back when sound localization becomes more critical
3Adaptability or versatility
If adaptive switching between coding strategies is implemented, then overall auditory perception is improved, but device complexity increases
Solution Approach 1:
The signal processing is segmented into distinct modules: an interaural coherence analysis module that evaluates listening conditions, and separate coding strategy modules for temporal fine structure and envelope-based coding. This segmentation allows independent optimization of each module and simplifies the adaptive switching logic
Solution Approach 2:
An interaural coherence analysis module serves as an intermediary that assesses the acoustic environment and mediates the selection between coding strategies. This intermediary simplifies the decision-making process by providing a clear metric (interaural coherence) that directly guides the switching between temporal fine structure and envelope-based coding
Data Source
AI summary
A signal processing system is described for a bilateral hearing implant system having left side and right side hearing implants. An interaural coherence analysis module receives input signals from each hearing implant including sensing microphone signals and band pass signals, and analyzes the input signals to produce an interaural coherence signal output characterizing reverberation-related similarity of the input signals. A pulse timing and coding module for each hearing implant then processes the band pass signals to develop stimulation timing signals, wherein for one or more selected band pass signals, wherein the processing includes using an envelope gating function developed from the interaural coherence signal.


