Respiratory Flow Frequency Analysis for Unsealed Breathing Rate Monitoring
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Solution Overview
Problem
Determining respiratory rate in unsealed respiratory systems, such as nasal high flow therapy, is challenging due to turbulent flow and noise in the signal, leading to inaccurate breath detection and compromised accuracy in respiratory rate measurement.
Innovation Solution
Performing frequency analysis of gases flow parameters, including flow rate, pressure, and motor speed, to extract magnitude and frequency information, providing more reliable respiratory rate data and improving accuracy by using processors to determine respiratory rate and patient connection status.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If frequency analysis is performed on respiratory gas flow signals, then respiratory rate monitoring accuracy is improved, but device complexity increases
Solution Approach 1:
The respiratory device performs multiple functions using a single sensor system: it monitors respiratory rate, detects patient interface removal, identifies talking/eating events, and provides therapy compliance tracking. This multi-functionality approach improves measurement precision without proportionally increasing device complexity.
Solution Approach 2:
The system uses the patient's own respiratory gas flow characteristics to automatically determine respiratory rate and detect various patient states. The frequency analysis is performed on signals naturally generated by the patient's breathing, eliminating the need for additional active sensors or complex external monitoring equipment.
2Ease of operation
If non-sealed patient interface is used, then ease of operation is improved, but measurement precision deteriorates
Solution Approach 1:
The system continuously monitors the respiratory gas flow signal and provides feedback about patient status (respiratory rate, interface removal, talking, eating). This feedback mechanism allows the system to adapt to varying conditions and maintain measurement precision even with non-sealed interfaces that may have variable contact.
Solution Approach 2:
The system analyzes changes in the frequency parameters of the respiratory gas flow signal to detect different patient states. By monitoring parameter variations rather than relying on fixed contact conditions, the system maintains measurement precision with non-sealed interfaces while preserving ease of operation.
3Loss of information
If frequency analysis is performed on respiratory gas flow signals, then therapy compliance monitoring is improved, but use of energy increases
Solution Approach 1:
The system performs continuous frequency analysis of the respiratory gas flow signal throughout the therapy period to continuously monitor respiratory rate and detect patient status changes. This continuous monitoring provides comprehensive therapy compliance data without requiring intermittent sampling, improving information quality while using energy efficiently through continuous low-power signal processing.
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 frequency analysis method enhances respiratory rate measurement accuracy and detects patient disconnection, improving therapy compliance monitoring and long-term respiratory function tracking.
Implementation Method 1
performing one or more frequency analyses of a signal from the gases flow
Data Source
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AI summary
Systems and methods can determine respiratory rates of a patient using a respiratory device by performing one or more frequency analyses of a signal from the gases flow. The signal from the gases flow can be one that varies with the patient's breathing. The system can include a non-sealed patient interface, such as a nasal cannula in a nasal high flow therapy, or any other patient interfaces. The respiratory system can also detect whether the patient has taken off the patient interface and/or whether the patient connected to the patient interface is talking or eating. Data of the patient's use of the respiratory system and the patient's respiratory rates can provide therapy compliance and long-term trend of use information and/or progress in the patient's respiratory functions and/or other physiological functions.