Smartphone Imaging System for Automated Limb Swelling Monitoring
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Solution Overview
Problem
Current methods lack an efficient and automated way to monitor and track swelling changes in a patient's limb, which is crucial for wound healing progression and surgical scheduling, often relying on manual measurements and requiring frequent assessments.
Innovation Solution
A system utilizing a smartphone with an imaging device and processing circuitry that captures images of a pattern indicator on a dressing, analyzing changes in the pattern's dimensions to determine swelling changes, providing real-time reports, and alerting healthcare professionals when significant changes occur.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual measurements are used to monitor swelling, then measurement can be performed, but the process is time-consuming and requires frequent assessments
Solution Approach 1:
The patent replaces manual mechanical measurement methods with an automated imaging system. A camera captures images of a pattern indicator on the dressing, and image processing algorithms automatically calculate swelling changes by analyzing the distortion of the pattern. This substitution eliminates the need for manual measurements and frequent patient visits, significantly improving monitoring efficiency and reducing time loss.
Solution Approach 2:
The patent uses optical copying by capturing images of the physical pattern indicator on the dressing. Instead of directly measuring the limb, the system creates a visual copy of the swelling information through the deformable pattern, which can then be analyzed computationally. This copying approach enables automated, remote, and frequent monitoring without requiring physical contact or time-consuming manual procedures.
2Extent of automation
If automated imaging system is implemented, then monitoring efficiency is improved, but device complexity increases
Solution Approach 1:
The patent leverages the multi-functionality of a smartphone to implement automated monitoring without requiring a dedicated complex device. The smartphone's camera serves as the imaging device, its processor performs image analysis, and its display presents results. By making the smartphone perform multiple functions (imaging, processing, display), the system achieves high automation while minimizing additional device complexity.
Solution Approach 2:
The system enables patients to perform self-monitoring by capturing images of their own dressings and automatically receiving swelling assessment results. The automated image processing and analysis algorithms provide immediate feedback without requiring healthcare professional intervention for each measurement, empowering patients to monitor their own condition while reducing the complexity of professional involvement.
3Measurement precision
If continuous monitoring is performed, then swelling changes are tracked accurately, but data processing requirements increase
Solution Approach 1:
The patent extracts only the essential swelling information from the captured images by analyzing the deformation of the pattern indicator. Instead of processing and storing all image data, the system extracts key measurements (swelling magnitude and direction) from the pattern distortion, reducing data processing requirements while maintaining measurement precision. This extraction approach focuses computational resources on the most relevant information.
Solution Approach 2:
The pattern indicator is pre-designed with specific geometric features that facilitate easy and accurate measurement of swelling. The predetermined pattern geometry enables straightforward image analysis algorithms to quickly calculate deformation without complex processing. This preliminary design of the measurement tool simplifies subsequent data processing while ensuring accurate continuous monitoring.
Data Source
AI summary
A system for monitoring and tracking swelling of a patient's limb includes a dressing, an imaging device, and processing circuitry. The dressing is positioned on a patient's limb over a wound and includes a pattern indicator. The imaging device is configured to obtain an image of the dressing and the pattern indicator. The processing circuitry is configured to obtain an initial image of the pattern indicator, obtain one or more subsequent images of the pattern indicator at later times, and determine a swelling change of the patient's limb using the initial image and the one or more subsequent images.