Respiratory Therapy Interface Detection From Pressure-Flow Curves
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Solution Overview
Problem
Existing respiratory therapy systems face challenges in accurately identifying components such as patient interfaces and estimating therapy parameters, leading to inefficiencies and increased complexity and cost, while also potentially creating compatibility issues and environmental waste.
Innovation Solution
The technology employs automated characterization of respiratory therapy systems through statistical analysis of sensor signals during therapy, allowing for robust leak flow rate estimation and adjustment of therapy properties based on identified patient interfaces, using pressure and flow rate signals to determine optimal treatment parameters.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If automated characterization through statistical analysis of sensor signals is implemented, then measurement precision and reliability are improved, but device complexity increases
Solution Approach 1:
The system performs self-characterization by automatically analyzing sensor signals from its own operation to identify patient interface components and estimate therapy parameters, eliminating the need for external manual identification procedures while improving measurement precision
Solution Approach 2:
The patent replaces manual mechanical identification methods with automated statistical analysis of pressure and flow rate sensor signals, using computational algorithms to characterize the respiratory therapy system and identify components based on signal patterns
2Productivity
If manual component identification and parameter estimation methods are used, then device complexity is reduced, but productivity and therapy efficiency decrease
Solution Approach 1:
The system performs preliminary characterization of the respiratory therapy system during initial setup by analyzing sensor signals to identify patient interface components and estimate therapy parameters before formal therapy begins, improving overall therapy setup efficiency
Solution Approach 2:
The system uses feedback from pressure and flow rate sensor signals during therapy operation to continuously monitor and identify patient interface components, adjusting therapy parameters based on the characterized system properties to improve therapy efficiency
Data Source
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AI summary
Apparatus and methods provide system characterisation such as for operation of respiratory treatment apparatus. Such a characterisation may include a determination of a patient interface type and/or an event such as a leak or blocked vent. For a characterisation, one or more controller(s) or processor(s) may be configured to make a determination of parameters that best fit a template curve, such as a quadratic function, to a plurality of measurements, such as data points. Each data point may include a pressure value, and a flow rate value at the pressure value. Parameters from the function may then be applied, such as with a data structure to characterize the system, such as with an identification of the patient interface type from the parameters. In some versions, parameter(s) of operation of the apparatus may be adjusted based on the characterisation, such as by using the parameters of the template.