Hearing Aid Breathing Difficulty Detection With Neural Networks

Resolve Bottlenecks,
Find Innovative Solutions
Generate Solutions

Solution Overview

Problem

Individuals with hearing impairments face challenges in managing breathing difficulties, which can be exacerbated by their environment and physical activity, often leading to discomfort, fear, and potentially life-threatening situations, requiring immediate medical attention.

Innovation Solution

A hearing aid device equipped with sensors and a neural network to detect breathing difficulties through posture analysis and respiratory characteristics, providing assistance through posture adjustments or emergency alerts based on risk assessment.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If a hearing aid device is used to assist persons with hearing loss, then hearing ability is improved, but the ability to detect and respond to breathing difficulties remains insufficient

Engineering Contradiction:
Improvehearing assistance reliabilityVSAvoidbreathing difficulty detection capability
Core Design Contradiction:
ReliabilityVSAdaptability or versatility

Solution Approach 1:

The hearing aid device is enhanced to perform multiple functions: it continues to provide hearing assistance through the receiver while simultaneously detecting breathing difficulties using sensors (acceleration sensor, microphone) and a neural network. This multi-functionality allows a single device to address both hearing loss and breathing difficulty detection without requiring separate devices.

Inventive Principle:
Principle #6Universality (Multi-functionality)

Solution Approach 2:

The patent combines the hearing aid functionality with breathing difficulty detection functionality into a single integrated device. The sensor unit, neural network, and control unit are merged with the existing hearing aid components (receiver, microphone, amplifier circuit) to create a unified system that performs both functions协同.

Inventive Principle:
Principle #5Merging (Combining)

2Reliability

If breathing difficulties are detected using sensors and neural networks, then safety and comfort are improved, but device complexity increases

Engineering Contradiction:
Improvebreathing difficulty detection reliabilityVSAvoidhearing aid system complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The neural network is trained using measurement data from the sensor unit and automatically generates inference results about breathing difficulties without requiring external intervention. The device performs self-diagnosis and self-assessment of the wearer's breathing status, reducing the need for complex external monitoring systems.

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The neural network acts as an intermediary between the raw sensor data (from acceleration sensor and microphone) and the final breathing difficulty assessment. It processes and interprets the complex sensor signals, transforming them into meaningful health insights while simplifying the overall system architecture.

Inventive Principle:
Principle #24Intermediary (Mediator)

3Measurement precision

If multiple sensors are integrated into the hearing aid, then measurement precision is improved, but device complexity and manufacturing difficulty increase

Engineering Contradiction:
Improvebreathing parameter measurement precisionVSAvoidhearing aid manufacturing ease
Core Design Contradiction:
Measurement precisionVSEase of manufacture

Solution Approach 1:

Existing components in the hearing aid (microphone, acceleration sensor) are utilized for dual purposes: the microphone serves both audio processing for hearing assistance and respiratory sound detection for breathing difficulty assessment. The acceleration sensor serves both motion tracking and breathing pattern analysis, reducing the need for additional dedicated sensors.

Inventive Principle:
Principle #6Universality (Multi-functionality)

Solution Approach 2:

The patent merges the functions of multiple sensors into a unified measurement system where the same sensor unit collects data for both hearing aid operation and breathing difficulty detection. This consolidation simplifies the manufacturing process while maintaining measurement precision through multi-purpose data utilization.

Inventive Principle:
Principle #5Merging (Combining)

Applied Scientific Principles

This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.

Function Achieved in This Case

Enhances safety and comfort for hearing aid users by promptly addressing breathing issues, reducing the risk of health complications through targeted interventions and timely medical response.

Implementation Method 1

a sensor, by means of which measurement data are created

Methodology Applied
Scientific EffectMotion detection: Accelerometer

Implementation Method 2

an ambient sound is usually converted into an electrical (audio/sound) signal by means of a microphone, thus an electromechanical sound transducer

Methodology Applied
Scientific EffectElectromechanical transduction: Electromechanical Film

Data Source

PatentUS12401953B2Method for operating a hearing aid and hearing aid
Publication Date: 2025.08.26 SIVANTOS PTE LTD
  • US12401953B2 patent drawing
  • US12401953B2 patent drawing
  • US12401953B2 patent drawing

AI summary

A method operates a hearing aid, which has a sensor, a microphone, and a receiver. Breathing difficulties of a wearer are inferred on the basis of measurement data created by the sensor and a measure for a risk is determined based thereon. An activity helping the wearer is carried out depending on the measure. Furthermore, the hearing aid is configured for carrying out the method.