Inhaler Acoustic Monitoring for Breath Pattern Analysis
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Solution Overview
Problem
Current systems fail to accurately and automatically monitor patient adherence to inhaler medication protocols, particularly in chronic respiratory and nasal disease treatments, due to issues with identifying inhaler technique errors and distinguishing between inhalation and exhalation sounds in uncontrolled environments.
Innovation Solution
A monitoring system that uses a microphone and processing circuitry to analyze acoustic information from inhaler use, differentiating between inhalation and exhalation based on temporal and spectral components, and identifying errors such as exhalation before inhalation, insufficient inhalation volume, and incorrect inhaler orientation, providing feedback on adherence and lung function.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If acoustic sensors are used to monitor inhaler use in uncontrolled environments, then automated adherence monitoring is achieved, but large quantities of artefacts are generated by patient or background environment
Solution Approach 1:
The patent introduces an intermediary acoustic sensor system that captures breath sounds during inhaler use. The sensor acts as a mediator between the patient's breathing and the monitoring system, enabling automated detection of inhalation/exhalation patterns while filtering out background artefacts through signal processing algorithms that distinguish physiological breath sounds from environmental noise.
Solution Approach 2:
The patent replaces manual acoustic analysis with an automated electronic monitoring system. Instead of manually listening to acoustic recordings, the system uses acoustic sensors coupled with digital signal processing to automatically detect and analyze breath patterns, substituting human auditory analysis with machine-based acoustic characterization.
2Extent of automation
If acoustic analysis is used to detect inhaler technique errors, then automated technique assessment is achieved, but accurate differentiation between inhalation and exhalation is difficult
Solution Approach 1:
The patent applies preliminary action by training the acoustic analysis system with known inhalation and exhalation patterns before actual monitoring. The system pre-establishes acoustic signatures and temporal patterns of correct inhalation-exhalation sequences, enabling it to automatically differentiate between the two breath types during actual use by comparing real-time signals against these pre-defined patterns.
Solution Approach 2:
The patent employs dynamics by analyzing the temporal and spectral characteristics of breath sounds in real-time. The system dynamically adjusts its detection thresholds and parameters based on the evolving acoustic signal, capturing the unique temporal patterns of inhalation versus exhalation phases and using these dynamic characteristics to accurately differentiate between the two breath types.
3Measurement precision
If manual classification of acoustic recordings is performed, then detailed technique error identification is achieved, but the process is tedious and time consuming
Solution Approach 1:
The patent replaces manual acoustic classification with an automated computer-based system. The system uses acoustic sensors and digital signal processing algorithms to automatically detect, classify, and analyze inhaler technique errors, substituting the tedious manual listening and classification process with machine-based automated recognition that maintains high precision while dramatically increasing analysis speed and productivity.
Solution Approach 2:
The patent implements self-service by enabling the monitoring system to automatically perform technique error identification without requiring manual intervention. The system autonomously processes acoustic recordings, detects breath patterns, identifies technique errors, and generates adherence reports, making the entire technique assessment process self-operating and eliminating the need for manual classification.
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
The system effectively records and analyzes inhaler use to provide accurate adherence data, identifying technique errors and informing users and clinicians about lung health and medication delivery, improving adherence and treatment efficacy.
Implementation Method 1
a microphone adapted for sensing sound made during operation of the inhaler device; processing circuitry operable to process a data signal obtained from the microphone, wherein said data signal comprises acoustic information sensed
Implementation Method 2
the processing circuitry is adapted to determine inhalation and exhalation breath characteristics that occur during use, by analysing the temporal and spectral components of the acoustic information sensed
Data Source
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AI summary
The invention provides a system and method suitable for monitoring user technique of an inhaler device configured for delivery of a medicament, said system comprising a microphone adapted for sensing sound made during operation of the inhaler device; and processing circuitry operable to process a data signal obtained from the microphone, wherein said data signal comprises acoustic information sensed. The processing circuitry is adapted to determine inhalation and exhalation breath characteristics that occur during use, by analysing the temporal and spectral components of the acoustic information sensed and processed to differentiate between an inhalation and an exhalation, based on both the temporal and spectral components. This information can be processed to determine user technique adherence to inhaler or respiratory device protocol. The analysis of temporal and spectral components can determine the impact of user technique errors on the quantity and the deposition of medicament delivered into the user's airways.