Support Cushion Pressure Control Using Physiological Signal Detection
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Solution Overview
Problem
Patients with restricted mobility face challenges in preventing pressure sores due to inadequate cushion support, as existing methods for detecting bottoming-out are subjective and require clinical intervention, and fail to automatically adjust for changes in weight or ambient pressure.
Innovation Solution
A control device that uses pressure transducers and machine learning algorithms to detect user presence, heart rate, and breathing patterns to automatically adjust cushion pressure, preventing bottoming-out and leaks, and maintaining optimal support levels.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the two-finger method is used to detect bottoming-out, then bottoming-out can be detected, but the method is subjective and produces incorrect pressure values
Solution Approach 1:
The patent replaces the manual two-finger mechanical detection method with an automated pressure sensor system. Pressure sensors are integrated into the cushion to automatically measure and monitor pressure distribution, eliminating subjective human judgment and providing precise, objective pressure data for bottoming-out detection.
Solution Approach 2:
The cushion system performs self-monitoring through integrated pressure sensors that continuously detect pressure distribution without requiring external clinical intervention. The system automatically identifies bottoming-out conditions and can trigger alerts or adjustments, enabling the cushion to serve its own monitoring function.
2Reliability
If a clinician checks for bottoming-out, then detection can be performed, but it requires personal attention and cannot occur frequently
Solution Approach 1:
The patent implements continuous pressure monitoring through integrated sensors that operate 24/7 without interruption. This eliminates the intermittent nature of manual checks by clinicians, providing uninterrupted surveillance of pressure distribution to reliably detect bottoming-out conditions at any time.
Solution Approach 2:
The cushion system autonomously performs detection without requiring clinician intervention. The automated sensor system continuously monitors pressure and independently identifies bottoming-out events, freeing the system from dependency on external human resources and enabling frequent, continuous detection.
3Adaptability or versatility
If the cushion pressure is manually adjusted, then support can be provided, but it does not automatically adapt to weight changes or ambient pressure changes
Solution Approach 1:
The patent implements a closed-loop feedback system where pressure sensors continuously monitor pressure distribution and user weight, and the controller automatically adjusts cushion pressure in response to detected changes. This feedback mechanism enables real-time adaptation to varying conditions without manual intervention.
Solution Approach 2:
The cushion system transitions from static manual pressure settings to dynamic automatic adjustment. The controller continuously modifies pressure levels based on real-time sensor data regarding user weight, position, and environmental conditions, enabling the cushion to adapt its support characteristics dynamically.
4Reliability
If the cushion is over-inflated to prevent bottoming-out, then support is improved, but the cushion may cause discomfort or make offloading difficult
Solution Approach 1:
The patent employs dynamic pressure adjustment that automatically modulates cushion firmness based on real-time detection of bottoming-out conditions. The system provides maximum support when needed to prevent bottoming-out, then reduces pressure to facilitate offloading, creating an adaptive balance between support and comfort.
Solution Approach 2:
The controller dynamically changes pressure parameters in response to detected conditions. When bottoming-out is detected, pressure is increased to provide support; when offloading is needed or no bottoming-out is present, pressure is reduced to maintain comfort and mobility, allowing optimal adjustment of support characteristics.
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 system provides reliable, automatic, and continuous monitoring and adjustment of cushion pressure, reducing the risk of pressure sores and discomfort by ensuring consistent support regardless of user weight changes or ambient conditions.
Implementation Method 1
receiving digital data that corresponds to signals from at least one pressure transducer that is pneumatically coupled to a bladder of a cushion
Data Source
AI summary
A method for controlling a cushion is disclosed. The method involves receiving digital data that corresponds to signals from at least one pressure transducer that is pneumatically coupled to a bladder of a cushion, determining that the digital data includes an indication of at least one of a heart beat and breathing, determining that a person is sitting on the cushion in response to determining that the digital data includes an indication of at least one of a heart beat and breathing, and applying a control signal within the controller in response to determining that a person is sitting on the cushion.