Inhaler Synchronization Detection via Video Audio Analysis
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Solution Overview
Problem
Current techniques for detecting misuse of pressurized metered-dose inhalers, such as desynchronization between actuation and inspiration, are not accurate enough and require significant medical professional intervention, limiting patient education and autonomy in proper medication use.
Innovation Solution
A computer-implemented method that processes video and audio signals to calculate probabilities of actuation, compression, and inhalation, determining synchronization between the inhaler actuation and patient inspiration, and provides feedback on proper use or misuse, using a system with processors configured to analyze video frames and audio segments for finger movement, inhaler compression, and inhalation detection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If video and audio processing techniques are used to detect inhaler actuation and patient inspiration, then the ability to detect synchronization is improved, but the accuracy in detecting desynchronization remains insufficient
Solution Approach 1:
The patent segments the detection process into three distinct probability calculations: pressing probability (from video frames analyzing finger position on trigger), compression probability (from video frames analyzing inhaler compression state), and inhalation probability (from audio signal analyzing breath sounds). This segmentation allows each aspect to be optimized independently while maintaining overall detection accuracy and reliability.
Solution Approach 2:
The patent merges multiple detection modalities (video processing for mechanical action, audio processing for inhalation) and combines three probability metrics into a comprehensive synchronization assessment. This multi-modal merging enables more reliable detection of desynchronization by cross-validating signals from different sources.
2Measurement precision
If complex video and audio analysis is performed to improve detection accuracy, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The patent employs a multi-functional system where a single integrated platform performs both video processing (for pressing and compression detection) and audio processing (for inhalation detection). This universal system handles multiple detection tasks through unified processing pipelines, reducing overall system complexity compared to separate specialized systems.
Solution Approach 2:
The patent transforms complex video and audio signals into simplified probability parameters (pressing probability, compression probability, inhalation probability). This parameter transformation reduces data dimensionality and complexity while preserving the essential synchronization information needed for accurate detection.
3Ease of operation
If professional medical observation is replaced by automatic detection techniques, then ease of operation is improved, but detection accuracy deteriorates
Solution Approach 1:
The patent implements a feedback mechanism where the system analyzes patient inhaler usage in real-time, compares it against proper technique criteria, and provides immediate feedback on synchronization quality. This closed-loop feedback enables autonomous patient education while maintaining high detection accuracy through continuous monitoring and guidance.
Solution Approach 2:
The patent enables patients to self-monitor and self-correct their inhaler technique through the automatic detection system. Patients receive real-time feedback on their synchronization without requiring professional medical intervention, empowering them to independently improve their medication administration while maintaining accurate detection of proper vs. improper use.
Data Source
AI summary
A pressurized metered-dose inhaler requires good synchronization between the activation of the inhaler and the inspiration by the patient. Processing is carried out on the video frames filming the patient to qualify the actuation of the pressurized metered-dose inhaler according to two criteria: regarding the pressing by the patient's actuating fingers on a trigger member of the inhaler and regarding the actual compression of the inhaler. Processing of an audio signal recording the patient at the same time is also carried out to detect an inhalation by the patient. A temporal correlation of the probabilities obtained as results then makes it possible to qualify the synchronization between the actuation of the inhaler by the patient and the latter's inspiration, and thereby indicate a proper use or improper use of the inhaler.