DVT Device Usage Monitoring With Protocol-Based Alerts
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing technologies lack effective systems for processing sensor data from DVT devices to ensure proper usage and prevent deep vein thrombosis, particularly in immobile patients, which can lead to serious health complications.
Innovation Solution
A mobile DVT device with integrated sensors and processing engines that analyze usage data against predefined protocols, generating alerts for users and medical professionals to ensure compliance and prevent thrombosis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If sensor data processing is implemented to monitor DVT device usage, then compliance monitoring and thrombosis prevention are improved, but device complexity and data processing requirements increase
Solution Approach 1:
A server acts as an intermediary between the DVT device and users/medical professionals. The server receives sensor data from the device, processes compliance information, and generates alerts, thereby externalizing the complex data processing functionality and reducing device complexity while maintaining reliable compliance monitoring
Solution Approach 2:
The system implements feedback loops where sensor data is continuously monitored, compliance is evaluated against protocols, and alerts are generated when deviations occur. This automated feedback mechanism improves reliability by ensuring consistent protocol adherence while reducing the need for complex manual monitoring systems
2Measurement precision
If continuous sensor monitoring is implemented, then detection precision of usage compliance is improved, but energy consumption and device complexity increase
Solution Approach 1:
The patent extracts heavy computational tasks from the mobile DVT device and relocates them to a external server. The device only performs lightweight sensor data collection and transmission, while the server handles complex compliance analysis, protocol comparison, and alert generation. This extraction maintains high detection precision while significantly reducing energy consumption at the device level
Solution Approach 2:
The monitoring system is segmented into distinct functional components: sensor data acquisition (device), data transmission (communication module), compliance processing (server), and alert generation (server/mobile device). This segmentation allows the energy-intensive processing functions to be separated from the battery-constrained mobile device, enabling continuous monitoring without excessive energy consumption
Data Source
AI summary
Processing generated sensor data of a mobile deep vein thrombosis (DVT) device may include identifying use of the mobile DVT device corresponding to a user. Sensor data associated with the user's identified use of the mobile DVT device may be generated. At least some of the generated sensor data may comprise use data associated with a duration of use of the mobile DVT device by the user. A protocol associated with use of the mobile DVT device may be processed. The generated use data and the protocol associated with use of the mobile DVT device may be correlated. Based on correlating the generated use data and the protocol, an alert associated with the generated use data and the protocol may be generated.