Auditory Prosthesis Sensor Fusion for Adaptive Sonic Environments
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Solution Overview
Problem
Conventional methods for customizing auditory prostheses, such as cochlear implants and bone conduction devices, are limited by the environments in which they are adjusted, often failing to account for the diverse sonic environments in which the devices are used, and lack effective engagement with users to optimize performance.
Innovation Solution
A system utilizing multiple sensors from both the auditory prosthesis and recipient computing devices to gather data in real-time, combined with incentives to encourage user interaction, allowing for continuous customization and optimization of auditory prosthesis settings across various environments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If conventional methods are used to customize auditory prostheses in limited environments, then the customization process is simple, but the device performance fails to account for diverse sonic environments
Solution Approach 1:
The system integrates multiple sensors (microphone, accelerometer, gyroscope, magnetometer, barometer, ambient light sensor, proximity sensor) into a single customization platform that can detect and adapt to various environmental conditions including acoustic, motion, orientation, atmospheric, and lighting contexts, enabling universal adaptation across diverse sonic environments
Solution Approach 2:
The system continuously collects sensor data from the auditory prosthesis and recipient computing devices, processes this information to understand environmental context, and uses this feedback to dynamically adjust device settings and provide personalized recommendations for optimization across different sonic environments
2Productivity
If conventional customization methods are used without user engagement mechanisms, then the system is easier to operate, but user performance optimization is insufficient
Solution Approach 1:
The system automatically collects sensor data, processes environmental context, generates performance recommendations, and provides guidance for optimization without requiring manual user intervention, enabling the device to self-optimize while maintaining ease of operation
Solution Approach 2:
The system provides continuous feedback to the user through notifications and recommendations based on sensor data analysis, guiding users on how to optimize their device performance in different environments without requiring them to understand complex technical parameters
3Adaptability or versatility
If real-time sensor data from multiple devices is collected and processed, then continuous customization and optimization is achieved, but the system complexity and data processing requirements increase
Solution Approach 1:
The system merges sensor data from multiple sources (auditory prosthesis sensors and recipient computing device sensors) into a unified data processing framework that collectively characterizes the environmental context, reducing redundancy and simplifying the overall system architecture
Solution Approach 2:
The system uses a multi-functional sensor suite where each sensor serves multiple purposes in characterizing different aspects of the environmental context, enabling continuous customization through integrated data processing rather than separate specialized systems
Data Source
AI summary
Systems and methods are provided for customizing an auditory prosthesis or other medical device. Customizing the auditory prosthesis includes obtaining and evaluating system data. The system data includes data from multiple sensors, including one or more sensors of an auditory prosthesis and one or more sensors of a recipient computing device. Based on the evaluation of the system data, a target behavior is determined, such as operating the auditory prosthesis in a particular sonic environment or with particular auditory prosthesis settings.