Percutaneous Device Control Using Scenario-Adaptive Driving Profiles
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Solution Overview
Problem
Existing percutaneous devices lack dynamic control mechanisms that adapt to clinical scenarios, patient anatomy, and imaging system constraints, leading to inefficient and potentially risky manipulation during procedures.
Innovation Solution
A controller system that determines clinical driving scenarios based on patient insertion depth, vascular length, imaging system field of view, and kinematic information to adjust driving characteristics, such as velocity, acceleration, and jerkiness, using a driving profile to modify user control signals and ensure safe and precise manipulation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a percutaneous device is manipulated during a procedure, then the device can be positioned and adjusted, but the risk of complications increases due to lack of dynamic control adaptation
Solution Approach 1:
The control system dynamically adjusts driving characteristics (velocity, acceleration, jerk limits) based on real-time clinical scenario detection and imaging system state, transforming a static control system into an adaptive one that responds to changing procedural conditions to maintain safety
Solution Approach 2:
The system continuously monitors clinical scenario, imaging system field of view, and device position to provide feedback that automatically modifies control parameters, creating a closed-loop control system that adapts to prevent complications
2Reliability
If the controller dynamically adjusts driving characteristics based on clinical scenarios, then procedural safety and precision improve, but the device complexity increases
Solution Approach 1:
The controller integrates multiple functions including clinical scenario detection, imaging system state monitoring, driving characteristic adjustment, and user control signal modification into a single multi-functional system, reducing overall system complexity despite increased capability
Solution Approach 2:
The control architecture nests multiple levels of control within the controller, with driving characteristic limits nested within clinical scenario parameters, which are nested within overall procedural context, creating a hierarchical structure that manages complexity
3Manufacturing precision
If the controller modifies user control signals to enforce driving characteristics, then device manipulation precision improves, but the ease of operation decreases
Solution Approach 1:
The controller acts as an intermediary between the operator and the percutaneous device, automatically modifying control signals to enforce driving characteristics while maintaining the operator's intent, thus preserving ease of operation while improving precision
Solution Approach 2:
The control system performs self-adjustment by automatically modifying control signals based on detected clinical scenarios and imaging constraints, reducing the operator's burden while maintaining precise control
Data Source
AI summary
A controller includes at least one processor and memory coupled to the at least one processor. The memory stores computer-executable instructions. The at least one processor is configured to execute the computer-executable instructions to cause the controller to determine a clinical driving scenario associated with a percutaneous device, and set driving characteristics associated with the percutaneous device based on the clinical driving scenario and information included in a driving profile, wherein the information included in the driving profile includes information associating particular clinical driving scenarios with particular driving characteristics.