Mask Cleaning Sensor Feedback for Patient Interface Identification
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Patients with obstructive sleep apnea using pressure-assisted ventilation support may experience therapy disruptions due to mismatched mask types, which can occur when a different mask is used than specified by the clinician, affecting treatment efficacy.
Innovation Solution
A mask cleaning system equipped with sensors and a controller that monitors operational parameters and sensor data to identify and alert users of changes in the patient interface device, ensuring appropriate cleaning settings are maintained and preventing mismatches.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If patients use a different mask than specified by the clinician, then patient comfort or accessibility may be improved, but therapy effectiveness deteriorates due to mismatched PAP machine settings
Solution Approach 1:
The mask cleaning system incorporates sensors that detect mask characteristics and provide feedback to the control unit. The system compares detected mask properties with stored reference data to identify mismatches between the mask being used and the mask specified by the clinician, alerting the patient to the discrepancy.
Solution Approach 2:
The patent replaces manual verification of mask compatibility with an automated sensor-based detection system. Instead of relying on patients to manually ensure they are using the correct mask, the system uses sensors to automatically detect mask characteristics and verify compatibility with PAP machine settings.
2Reliability
If manual monitoring of mask type is implemented, then therapy reliability can be maintained, but patient convenience and time consumption worsen
Solution Approach 1:
The mask cleaning system performs self-verification by automatically detecting mask characteristics using integrated sensors and comparing them against stored reference data. The system independently identifies mask mismatches without requiring patient intervention, thereby maintaining reliability while eliminating time loss associated with manual monitoring.
Solution Approach 2:
The system continuously monitors mask characteristics and provides automatic feedback when a mismatch is detected, eliminating the need for patients to manually verify mask types and reducing the time they spend on monitoring tasks.
3Measurement precision
If multiple sensors are integrated into the mask cleaning system, then measurement precision of mask characteristics is improved, but device complexity increases
Solution Approach 1:
The mask cleaning system's control unit serves multiple functions: it controls the cleaning process, stores reference mask data, processes sensor signals, and performs mask identification. This multi-functionality reduces the need for separate dedicated components, thereby managing device complexity while maintaining measurement precision through multiple sensors.
Data Source
AI summary
A system and method of identifying a patient interface device to be used in a pressure support system using a mask cleaning system structured and configured to clean the patient interface device, the mask cleaning system having a controller. The controller is configured to assess the output from a number of sensors as well as the operational parameters of a number of connected components within the mask cleaning system. This assessment enables the controller to obtain values for the operational parameters and the sensors and to further identify the mask coupled to the mask cleaning system. A user may be alerted if the operational parameters signify that the incorrect mask is coupled to the mask cleaning system.