Bed-Integrated Fall Risk Detection via Blood Pressure Monitoring
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Solution Overview
Problem
Existing bed monitoring systems for fall risk detection are cumbersome, prone to tripping hazards, and generate false alarms, as they rely on separate mats that detect foot placement rather than the subject's intent to stand and blood pressure response.
Innovation Solution
A monitoring system integrated into the bed using a combination of bed occupancy and position sensing, including a MEMS inclinometer to detect the subject's intent to rise and a blood pressure sensor to assess the appropriateness of blood pressure response for safe standing, triggering alarms only when necessary.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a separate mat with pressure sensors is placed by the bed to detect patient movement, then fall risk detection capability is improved, but device complexity and tripping hazard increase
Solution Approach 1:
The patent merges the fall risk detection function directly into the bed structure by integrating pressure sensors into the mattress or bed frame, eliminating the need for a separate mat. This consolidation maintains detection capability while reducing device complexity and eliminating tripping hazards associated with separate mats placed on the floor.
2Reliability
If a separate mat is placed by the bed to detect foot placement, then fall risk detection is improved, but ease of operation (floor cleaning) deteriorates
Solution Approach 1:
By integrating the pressure sensor system into the bed structure itself, the patent eliminates the separate mat that would otherwise obstruct floor cleaning. The detection function is merged with the bed, allowing floors to be cleaned without removing or navigating around detection equipment.
3Reliability
If a mat detects any foot placement to trigger alarm, then fall risk detection coverage is improved, but measurement precision (false alarm rate) deteriorates
Solution Approach 1:
The patent segments the detection function into multiple independent pressure sensors distributed across the bed structure. By monitoring pressure changes at multiple locations and analyzing the pattern of weight distribution, the system can distinguish between intentional patient movement and other events, reducing false alarms while maintaining comprehensive detection coverage.
Solution Approach 2:
The system incorporates feedback mechanisms that analyze the temporal and spatial patterns of pressure sensor signals. By evaluating the sequence and distribution of pressure changes, the system can determine whether detected movements represent genuine fall risk situations, thereby reducing false alarms while maintaining high detection coverage.
Data Source
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Figure 3
AI summary
A monitoring system and method for early detection of fall risk. A rise-state of a subject occupying a bed is detected. In response to the detection of the rise- state, blood pressure measurement of the subject is triggered. An alarm when the measured blood pressure is not within a selected range of blood pressures.