Multi-band Channel Coordination in Medical Devices
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Solution Overview
Problem
Existing medical device systems, such as hearing aids and cochlear implants, face challenges in coordinating channel gains and latencies across multiple signal processing paths, particularly in multi-band and bimodal systems.
Innovation Solution
The method involves generating source filter channel signals and determining gain values or latencies associated with these channels. These values are then used to calculate target gain values or latencies for target filter channels, employing weighted combinations to ensure coordination across signal processing paths.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If multiple signal processing paths are used in multi-band medical device systems, then the functionality and therapeutic benefits are enhanced, but the coordination of channel gains and latencies across paths becomes complex and difficult to manage
Solution Approach 1:
The system divides the signal processing into separate source paths and target paths, each with their own filter banks and processing chains. By segmenting the coordination problem into individual path optimizations followed by a mapping stage, the complexity of coordinating multiple paths is reduced while maintaining enhanced functionality across bands
Solution Approach 2:
A gain coordination module acts as an intermediary between source and target signal processing paths. This intermediary computes target filter bank gains based on source filter bank gains and path characteristics, mediating the coordination complexity while enabling multi-path functionality
2Productivity
If channel gains and latencies are independently optimized for each signal processing path, then the performance of individual paths is maximized, but the overall system consistency and coordination across paths deteriorates
Solution Approach 1:
The gain coordination module uses feedback from source filter bank gains and path characteristics to compute target filter bank gains. This feedback mechanism ensures that individual path optimizations contribute to overall system consistency, as each path's performance adjustments are coordinated through the gain computation based on actual path measurements and characteristics
Solution Approach 2:
The system dynamically adjusts gain parameters across different signal processing paths based on computed relationships. By changing gain parameters in a coordinated manner rather than fixing them independently, the system maintains both high path performance and overall consistency across the multi-band medical device system
Data Source
AI summary
Presented herein are techniques for multi-band channel coordination in medical device systems. More specifically, in accordance with certain embodiments presented herein, a plurality of source filter channel signals are generated via a plurality of source filter channels associated with a source signal processing path. One or more of a source gain value or a source latency associated with each of the source filter channel signals are determined. A plurality of target filter channel signals are generated via a plurality of target filter channels associated with a target signal processing path. At least one of a target gain value or a target latency for at least one of the target filter channel signals based on one or more source gain values or one or more source latencies of one or more source filter signals is determined.