Cochlear Implant Sound Processor Noise Detection
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Solution Overview
Problem
Cochlear implant systems often introduce noise, such as electrical or RF noise, which can interfere with and mask useful acoustic information, particularly in quiet environments, making it difficult for recipients to perceive sounds effectively.
Innovation Solution
A sound processor is used to detect and manage system noise by generating spectral input signals and comparing their energy levels to a predetermined noise threshold, excluding noise-dominated signals from the stimulation and dynamically adjusting audio input weighting factors to minimize noise interference.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the cochlear implant system processes audio signals to provide electrical stimulation, then hearing function is restored, but system noise interferes with and masks useful acoustic information
Solution Approach 1:
The audio spectrum is divided into multiple frequency bands, and the system noise is characterized separately for each frequency band. This segmentation allows the noise management system to process and suppress noise in each band independently, preventing noise from masking useful acoustic information while preserving the restored hearing function across the full frequency range
Solution Approach 2:
The system noise is measured and characterized in advance during manufacturing or setup, creating a noise profile that is stored in memory. This preliminary characterization of noise allows the sound processor to proactively suppress noise in real-time operation without interfering with the restored hearing function, as the noise suppression parameters are pre-determined based on the specific implant's noise characteristics
2Object-generated harmful factors
If the spectral energy level is compared to noise threshold to identify noise-dominated signals, then noise interference is reduced, but device complexity increases
Solution Approach 1:
The system compares the spectral energy level parameter against a predetermined noise threshold parameter to identify noise-dominated signals. By monitoring these energy level parameters and adjusting the stimulation accordingly, the system reduces noise interference through straightforward parameter comparison rather than complex signal processing algorithms
Solution Approach 2:
The system continuously monitors the spectral energy level of the audio signal and provides feedback to adjust the stimulation. When noise is detected (energy level below threshold), the system responds by suppressing that frequency band's stimulation. This feedback mechanism reduces noise interference through simple threshold-based decision logic rather than complex real-time processing
Data Source
AI summary
An exemplary sound processor included in a cochlear implant system used by a recipient is configured to generate a spectral input signal representative of spectral energy contained within a frequency band of a plurality of frequency bands of an audio input signal presented to the recipient. The sound processor further receives a predetermined system noise threshold that is determined prior to the audio input signal being presented to the recipient and that is based on a predicted or measured spectral energy level of system noise generated by a theoretical or test cochlear implant system associated with, but distinct from, the cochlear implant system. The sound processor determines whether a spectral energy level of the spectral input signal exceeds the system noise threshold and, based on this determination, performs an action that impacts stimulation provided to the recipient by the cochlear implant system. Corresponding methods and systems are also disclosed.