Camera-Based Inhaler Training for Portable Technique Feedback
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Solution Overview
Problem
Existing inhalation training methods for respiratory patients lack personal interaction and are not portable, requiring additional equipment and are not universally applicable.
Innovation Solution
A computer-implemented method using a handheld device, such as a smartphone, to analyze audio and video signals from patients using inhalers to provide real-time feedback on proper inhalation techniques, identifying the inhaler type and deviations from instructions using an artificial neural network.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If additional equipment and devices with sensors and feedback mechanisms are used for inhalation training, then measurement precision and feedback capability are improved, but device complexity and portability are worsened
Solution Approach 1:
The patent uses a camera to capture visual images of the patient's inhalation technique and creates a digital copy of the inhalation process. This visual copy is then analyzed by an artificial neural network to provide feedback, replacing complex sensor systems with a more portable camera-based approach while maintaining measurement capability
Solution Approach 2:
The patent replaces mechanical sensor systems with an artificial neural network-based image analysis system. The neural network processes visual data from the camera to detect inhalation technique deviations, substituting traditional mechanical measurement devices with a software-based solution that is more portable and easier to implement
2Reliability
If personalized training methods are implemented, then training effectiveness is improved, but device complexity and portability are worsened
Solution Approach 1:
The system provides automated feedback through the artificial neural network that analyzes the patient's inhalation technique and delivers corrective guidance without requiring a trainer's direct intervention. The patient receives personalized feedback independently, making the system portable and easy to operate while maintaining high training effectiveness
Solution Approach 2:
The patent implements a feedback mechanism where the artificial neural network analyzes the patient's inhalation technique in real-time and provides immediate corrective feedback. This continuous feedback loop ensures personalized training effectiveness while keeping the system portable and easy to use, as the feedback is automated and does not require complex interpersonal interactions
Data Source
AI summary
The invention relates to a method and system for providing feedback to a patient using an inhaler of a specific type for inhaling a therapeutic aerosol according to instructions for use provided to the patient with the inhaler. The method comprises the steps of obtaining a sequence of digital audio signals and a sequence of digital video signals emitted from the patient while using the inhaler, recognising the type of the inhaler by processing the video signals, recognising whether the patient has deviated from the instructions by processing the audio and video signals, and recognising the type of the deviation; and presenting to the patient one or more feedback messages indicating whether a deviation was recognised, and if so, what type of deviation occurred, and optionally an inhalation manoeuvre without the deviation.