Percutaneous Device Motion Control for Scenario-Adaptive Manipulation
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Solution Overview
Problem
Existing percutaneous devices lack dynamic control mechanisms to adapt movement based on clinical scenarios, patient anatomy, and imaging system constraints, leading to potential inefficiencies and risks during procedures.
Innovation Solution
A controller system that determines clinical driving scenarios based on positional information, user inputs, and imaging system field of view to adjust movement characteristics of percutaneous devices, using kinematic data and driving profiles to modify user control signals and ensure safe and precise manipulation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If dynamic control mechanisms are implemented to adapt movement based on clinical scenarios, then safety and precision are improved, but device complexity increases
Solution Approach 1:
The controller 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
Solution Approach 2:
The system continuously monitors positional information, clinical scenario parameters, and imaging system field of view to generate feedback signals that modify driving characteristics, creating a closed-loop control system that enhances safety through real-time adaptation
2Manufacturing precision
If dynamic control mechanisms are implemented to adapt movement based on clinical scenarios, then precision is improved, but device complexity increases
Solution Approach 1:
The controller 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
Solution Approach 2:
The system modifies multiple driving parameters (peak velocity, peak acceleration, jerk limits, displacement per input ratio) based on detected clinical scenarios, enabling precise control adaptation without requiring complex mechanical modifications
3Reliability
If positional information and imaging system data are continuously monitored to determine clinical driving scenarios, then safety is improved, but use of energy increases
Solution Approach 1:
The system pre-establishes driving profiles for multiple clinical scenarios that define appropriate driving characteristics in advance, allowing rapid scenario matching and parameter selection without requiring complex real-time calculations or energy-intensive processing
Data Source
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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.