Cough Detection in Respiratory Pressure Support Systems
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current cough detection methods for COPD patients are limited by subjective reporting, labor-intensive manual counting, and noise-prone wearable monitors, which are prone to user error and interference.
Innovation Solution
A cough detection system integrated into a respiratory pressure support system, comprising a pressure generator, sensors, and processors that analyze pressure signal fluctuations to detect cough events based on peak and valley pressure values and amplitude thresholds, providing objective and discreet monitoring.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If subjective patient reporting via questionnaires is used for cough detection, then the method is simple to implement, but the measurement precision and reliability are poor due to subjectivity
Solution Approach 1:
The patent replaces subjective patient reporting (mechanical/questionnaire-based system) with an automated sensor-based detection system that uses pressure sensors and algorithms to objectively detect and quantify cough events, thereby improving measurement precision while maintaining ease of operation through automated processing
Solution Approach 2:
The system enables self-service by automatically detecting and analyzing cough events without requiring patient participation or manual observation, allowing the monitoring system to independently assess respiratory status through sensor data and algorithmic analysis
2Measurement precision
If manual cough counting by trained observers is used, then the measurement precision improves compared to questionnaires, but the device complexity and loss of time increase due to labor intensity
Solution Approach 1:
The system performs automated cough detection and analysis without requiring trained observers, using sensors and algorithms to independently identify cough events, thereby eliminating manual labor while maintaining high measurement precision through objective sensor-based detection
Solution Approach 2:
The patent replaces the mechanical system of manual observation and counting with an automated electronic detection system using pressure sensors and signal processing algorithms, reducing device complexity while improving efficiency and maintaining accuracy
3Measurement precision
If microphone-based wearable cough monitors are used, then the measurement precision improves through automated detection, but the object-affected harmful factors increase due to noise artifacts and interference
Solution Approach 1:
The patent converts the potentially harmful noise artifacts into beneficial information by using pressure signal fluctuations during positive pressure breathing as the detection mechanism, where the therapeutic breaths themselves provide the signal载体 for cough detection, transforming what could be interference into the detection medium
Solution Approach 2:
The system uses pressure sensors as an intermediary to detect cough events indirectly through pressure signal fluctuations caused by coughing during positive pressure breathing, rather than directly capturing sound waves, thereby avoiding noise artifacts associated with microphone-based approaches
4Extent of automation
If microphone-based wearable monitors are used, then automated detection is achieved, but the reliability decreases due to user error and interference
Solution Approach 1:
The system uses pressure sensors as an intermediary that is not susceptible to user error, detecting cough events through physiological pressure changes during breathing rather than relying on user activation or wearability, thereby improving reliability while maintaining automation
Solution Approach 2:
The patent transforms the therapeutic positive pressure breathing treatment into the detection mechanism itself, where the necessary pressurization for therapy provides the signal medium for cough detection, eliminating the need for separate wearable devices that are prone to user error
Data Source
AI summary
The present disclosure pertains to a pressure support system configured to identify respiratory events of a subject. The system is configured to produce and analyze signals pertaining to one or more parameters of the pressurized flow of breathable gas to identify respiratory events. The respiratory events may include coughs and/or other respiratory events. The parameters may comprise a pressure, flow and/or volume of the pressurized flow of breathable gas. In some embodiments, cough detection may be based on a vibration in pressure, a negative spike in flow, a cessation in flow, and/or a large insufflation. In some embodiments, the system comprises one or more of a pressure generator, a subject interface, one or more sensors, a processor, a user interface, electronic storage, and/or other components.