Pressure Ulcer Sensor with Cumulative Risk Assessment
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Solution Overview
Problem
Current methods for preventing pressure ulcers are inadequate as they fail to provide accurate, real-time measurements of cumulative pressure effects on the body, leading to ineffective prevention and costly treatment, with a need for improved diagnostic assessment to identify early stages of ulcer formation.
Innovation Solution
A sensor device with pressure sensors and a processing unit that collects and analyzes patient-specific data, including body location, weight, age, and medical conditions, using a diagnostic function to determine the risk of pressure ulcer formation, employing machine learning algorithms and integrating data from multiple sensors to provide continuous monitoring and alerts for potential ulcers.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If sensors are integrated into patient supports to measure pressure, then pressure measurement capability is provided, but the cumulative impact of pressure over time cannot be considered when the patient is turned
Solution Approach 1:
The system performs preliminary action by continuously integrating pressure measurements over time to calculate cumulative pressure exposure before patient repositioning occurs. The processor accumulates pressure data and computes time-domain metrics that persist across patient movements, ensuring cumulative impact is captured and stored for later analysis rather than being lost when the patient is turned.
2Device complexity
If simple pressure measurements are taken, then device simplicity is maintained, but the measurements do not provide meaningful diagnostic information for different patients
Solution Approach 1:
The system applies local quality by customizing the diagnostic function for each patient based on their specific attributes such as age, weight, medical history, and body composition. The processor selects and applies patient-specific parameters and thresholds in the diagnostic function, allowing the same pressure measurement device to provide tailored diagnostic information for different patients rather than using a single universal threshold.
Solution Approach 2:
The system implements parameter changes by dynamically adjusting the diagnostic function parameters based on patient-specific data. The processor modifies pressure thresholds, time constants, and risk assessment criteria according to individual patient characteristics, transforming fixed-pressure measurements into adaptive diagnostic assessments that account for varying patient susceptibility to pressure ulcers.
3Reliability
If continuous monitoring is implemented to detect early ulcer formation, then early detection capability is improved, but energy consumption increases
Solution Approach 1:
The system employs periodic action by implementing continuous pressure monitoring that integrates over time to detect cumulative pressure exposure patterns. The processor periodically evaluates the integrated pressure data against diagnostic thresholds to identify early signs of pressure ulcer formation, enabling reliable detection while managing power consumption through time-based sampling and evaluation rather than constant high-power operation.
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 effectively detects early signs of pressure ulcer formation by providing quantitative risk assessments, enabling timely interventions and reducing the likelihood of ulcer development, thus minimizing treatment costs and patient discomfort.
Implementation Method 1
A sensor device in accordance with such embodiments can include at least one pressure sensor and a processing device that receives pressure data
Implementation Method 2
time domain measurements to determine the accumulated effects at a selected location on a patient's body are not available
Data Source
AI summary
Systems, devices, and methods of the present application relate to the diagnostic measurement of condition for pressure ulcers. Preferred embodiments utilize pressure measurements at body locations to determine a diagnostic pressure ulcer value. A pressure sensor device generates patient pressure data that is processed by a data processor which utilizes a diagnostic function to determine the diagnostic value that indicates whether corrective action is needed to prevent pressure ulcer formation. One or more sensor devices can be attached to a patient to measure to transmit data for further processing.