Remote Leg Sensor Monitoring for Arterial-Venous Risk Differentiation
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Solution Overview
Problem
Existing methods struggle to accurately differentiate between arterial and venous diseases in the leg based on swelling, making early detection challenging.
Innovation Solution
A system comprising a wireless sensor device attached to the leg, a compute server, and a display device that analyzes moisture content, repulsive force, skin color, and hemoglobin levels to determine the risk of arterial and venous diseases, using machine learning models for enhanced accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If swelling examination is used for disease diagnosis, then the diagnosis process is simple, but the measurement precision is insufficient to differentiate between arterial and venous diseases
Solution Approach 1:
The patent segments the diagnosis process into multiple independent measurement components: swelling degree measurement, skin temperature measurement, and pain threshold measurement. Each component provides specific data that, when combined, enables accurate differentiation between arterial and venous diseases while maintaining operational simplicity through modular assessment
Solution Approach 2:
The patent introduces multiple physiological parameters beyond simple swelling examination, including skin temperature and pain threshold. By changing from a single parameter (swelling) to multiple parameters (swelling, temperature, pain threshold), the system achieves both operational simplicity and high measurement precision for disease differentiation
2Measurement precision
If multiple measurement parameters are used to improve disease differentiation accuracy, then the measurement precision is improved, but the device complexity increases
Solution Approach 1:
The sensor device is designed with multi-functionality, integrating swelling degree measurement, skin temperature measurement, and pain threshold measurement into a single universal device. This allows the system to achieve high measurement precision through multiple parameters while avoiding device complexity by using one multifunctional sensor unit rather than multiple separate devices
Solution Approach 2:
The patent merges multiple measurement functions (swelling detection, temperature sensing, pain threshold assessment) into a single integrated sensor device. This combining approach enables comprehensive disease differentiation accuracy while simplifying the overall system architecture and reducing device complexity compared to using separate devices for each measurement
3Reliability
If comprehensive measurement information is collected to enable early disease detection, then the reliability of diagnosis is improved, but the loss of time for data processing increases
Solution Approach 1:
The system performs preliminary action by continuously collecting and storing measurement information (swelling degree, skin temperature, pain threshold) in advance. This pre-collected data is then quickly processed to determine disease risk, enabling both high diagnosis reliability through comprehensive data and rapid results by avoiding time-consuming data collection at the moment of diagnosis
Data Source
AI summary
A system for monitoring a health status of a person remotely from a medical facility, includes a display device to be installed in the medical facility, a wireless sensor device attachable to a leg of the person to acquire measurement information on a state of the leg of the person, and a compute server in wireless communication with the sensor device to acquire the measurement information. The compute server is configured to determine a risk of an arterial disease and a venous disease of the leg based on the acquired measurement information, and output, to the display device, information on the determined risk of the arterial disease and the venous disease of the leg.