Vascular Dimension Sensing for Closed-Loop Patient Fluid Management
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing medical treatment systems lack accurate and real-time monitoring of patient fluid status, leading to inefficiencies and potential complications in treatments such as diuresis, dialysis, and renal function modulation.
Innovation Solution
An integrated patient fluid management system utilizing a wireless vascular dimension monitoring sensor implanted in the vascular lumen to measure changes in vessel dimensions, coupled with a control system to modulate interventional therapies based on real-time fluid status data, including infusion pumps and diuretics, to achieve desired fluid loss goals.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional fluid management systems are used without real-time monitoring, then device complexity is reduced, but treatment precision and patient safety deteriorate
Solution Approach 1:
The patent combines multiple functions into a single integrated system: the vascular dimension sensor simultaneously measures vascular dimensions to infer fluid status, the infusion pump delivers fluids, and the control system coordinates both functions. This merging eliminates the need for separate monitoring and delivery systems, achieving precise fluid status monitoring while controlling overall system complexity through integration.
Solution Approach 2:
The control system serves multiple purposes: it processes sensor data to determine fluid status, calculates infusion rates, controls the infusion pump, and monitors treatment progress. This multi-functionality reduces the number of separate components needed, allowing precise fluid management without proportionally increasing system complexity.
2Productivity
If real-time fluid status monitoring is implemented, then treatment efficacy is improved, but device complexity increases
Solution Approach 1:
The system continuously monitors vascular dimensions via the sensor, processes this feedback to determine fluid status, and uses this information to dynamically adjust infusion pump operation. This closed-loop feedback mechanism improves treatment efficiency by enabling real-time adaptation to patient needs while keeping the monitoring approach relatively simple through direct vascular dimension measurement.
Solution Approach 2:
The patent replaces complex multi-parameter monitoring systems with a simpler approach based on vascular dimension measurement. Instead of monitoring multiple fluid parameters directly, the system uses mechanical/physical measurement of vascular dimensions to infer fluid status, simplifying the monitoring system while maintaining treatment efficacy.
3Ease of operation
If automated control based on sensor data is used, then ease of operation is improved, but loss of information about patient-specific factors increases
Solution Approach 1:
The control system dynamically adjusts treatment parameters based on real-time vascular dimension data while incorporating patient-specific factors such as baseline vascular dimensions, clinical history, and treatment goals. This dynamic adaptation allows high automation without losing patient-specific context, as the system continuously learns from and adjusts to individual patient characteristics.
Solution Approach 2:
The system changes operational parameters (infusion rate, duration) based on measured vascular dimensions and patient-specific parameters. By incorporating both real-time measurements and patient-specific factors into the control algorithm, the system maintains ease of operation through automation while preserving necessary patient context for personalized treatment.
Data Source
AI summary
Patient fluid management systems, particularly for use in treating patients at various stages of heart failure, are disclosed. Disclosed systems employ vascular dimension monitoring sensors to provide accurate, early, real-time estimation of circulating blood volume as an input metric to the system control, allowing for more accurate modulation of treatment based on the patient's current fluid volume state.