Adaptive Audiometry Sequencing for Faster Threshold Estimation

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Solution Overview

Problem

Existing audiometry methods struggle to efficiently and accurately determine hearing thresholds across a wide audience and in cases of severe hearing loss, particularly due to over-stimulation and cochlear dead zones.

Innovation Solution

A method utilizing a Gaussian process to determine sound sequences, adjusting intensity and frequency based on patient responses, incorporating an exponential and linear kernel to optimize threshold estimation, and employing an electronic device for audiometry testing.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If traditional audiometry methods are used to determine hearing thresholds, then the measurement can be obtained, but the process is time-consuming and less accurate for severe hearing loss

Engineering Contradiction:
Improvehearing threshold determination accuracyVSAvoidtesting duration
Core Design Contradiction:
Measurement precisionVSLoss of time

Solution Approach 1:

The system uses the patient's responses to sound stimuli to dynamically adjust the testing sequence. The Gaussian process model continuously updates the audiogram estimation based on observed responses, and this feedback drives the selection of subsequent sounds to present, optimizing both speed and accuracy of threshold determination

Inventive Principle:
Principle #23Feedback

Solution Approach 2:

The system changes the parameters of sound stimuli (frequency and intensity) dynamically based on the Gaussian process model's uncertainty estimation. Sounds are selected to maximize information gain by targeting frequencies and intensities where the model is most uncertain, thereby efficiently converging on the true hearing threshold

Inventive Principle:
Principle #35Parameter changes

2Productivity

If sound intensity is rapidly increased to determine hearing thresholds, then the testing speed improves, but over-stimulation occurs causing inaccurate results

Engineering Contradiction:
Improvetesting speedVSAvoidmeasurement accuracy
Core Design Contradiction:
ProductivityVSReliability

Solution Approach 1:

The sound intensity progression is dynamic rather than fixed. The system adjusts the rate of intensity increase based on patient responses and the Gaussian process model's uncertainty, slowing down when over-stimulation risk is detected and accelerating when confidence is high, thereby maintaining both speed and accuracy

Inventive Principle:
Principle #15Dynamics

Solution Approach 2:

Patient responses provide continuous feedback that regulates sound intensity progression. When the model detects patterns suggesting over-stimulation (e.g., unexpected hearing at high intensities), it adjusts subsequent sound selection to avoid further rapid intensity increases, ensuring reliable threshold determination

Inventive Principle:
Principle #23Feedback

3Adaptability or versatility

If a comprehensive sound range is tested to cover all frequencies, then the audiogram completeness improves, but the testing complexity and time increase

Engineering Contradiction:
Improveaudiogram coverageVSAvoidtesting procedure complexity
Core Design Contradiction:
Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The system dynamically changes which frequency and intensity parameters are tested based on the Gaussian process model's uncertainty distribution. Rather than uniformly testing all frequencies, it adaptively selects parameters that will most reduce overall uncertainty in the audiogram estimation

Inventive Principle:
Principle #35Parameter changes

Solution Approach 2:

The comprehensive frequency range is effectively segmented into regions of high and low uncertainty. The system focuses testing efforts on frequency regions where the model is uncertain, while relying on model interpolation for regions where data already exists, thereby reducing overall testing complexity while maintaining comprehensive coverage

Inventive Principle:
Principle #1Segmentation

Data Source

PatentUS20250380884A1Audiometry test method and associated electronic device
Publication Date: 2025.12.18 MY MEDICAL ASSISTANT
  • US20250380884A1 patent drawing
  • US20250380884A1 patent drawing

AI summary

A method for audiometry testing of an ear comprising the repetition of the following steps:Determination (S30) of a second sound with a second frequency and a second intensity from a Gaussian process,Determination (S40), if present, of a third sound already applied to the ear having a third intensity, lower than the second intensity and higher than a second threshold and having a third frequency, the difference between the third frequency and the second frequency being lower than a frequency threshold, the third intensity being maximum among all the sounds whose frequency has a difference with the second frequency lower than the frequency threshold,Application (S50) to the ear:A sound with the second frequency and the third intensity increased by a predefined increment, if the second intensity is greater than the second threshold, and if a third sound exists,Otherwise, second sound.