Robot-Supported Navigation Performability Evaluation
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Solution Overview
Problem
Current remote-controlled navigation methods for medical objects in hollow organs lack comprehensive evaluation of performability, leading to potential procedural issues and safety concerns during invasive procedures, especially when using robot systems for semi-automatic operations.
Innovation Solution
A method and system that utilize a robot-supported navigation system with an imaging system for visual monitoring, incorporating a drive system, control unit, and input unit, which evaluates navigation data using empirical data, theoretical models, or learning-based algorithms to assess performability levels and provide real-time feedback and modification suggestions to enhance safety and procedure reliability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Object-affected harmful factors
If remote-controlled robot-supported navigation is used for medical objects in hollow organs, then the safety of the person giving treatment is improved by avoiding radiation exposure, but the reliability of the navigation procedure deteriorates due to lack of comprehensive performability evaluation
Solution Approach 1:
The patent applies preliminary action by evaluating navigation data before the actual procedure using empirical data, theoretical models, or learning-based algorithms. This pre-procedure assessment identifies potential issues and calculates performability levels, allowing the treatment team to prepare appropriate interventions in advance, thereby maintaining reliability while enabling remote operation that protects against radiation exposure.
Solution Approach 2:
The system implements feedback by continuously monitoring navigation data and providing real-time assessments of performability levels. This feedback loop allows the person giving treatment to make informed decisions about procedure continuation or modification, maintaining reliability even while operating remotely without direct radiation exposure.
2Reliability
If comprehensive evaluation of navigation data using empirical data and theoretical models is implemented, then the reliability of the procedure is improved, but the device complexity increases
Solution Approach 1:
The evaluation system is segmented into distinct functional modules: data acquisition from multiple sources, empirical data comparison, theoretical model evaluation, learning-based algorithm processing, and performability level calculation. This segmentation allows each component to be developed and validated independently, managing complexity while achieving comprehensive reliability assessment.
Solution Approach 2:
The evaluation system is designed with multi-functionality to handle various types of navigation data, multiple evaluation methods (empirical, theoretical, learning-based), and different hollow organ procedures. This universal approach consolidates diverse evaluation functions into a single integrated system, improving reliability without proportionally increasing complexity.
3Reliability
If real-time monitoring and evaluation of navigation procedures is performed, then the safety and quality of operations are improved, but the loss of time for data processing and evaluation increases
Solution Approach 1:
The system performs preliminary evaluation of navigation data before the procedure begins and during setup phases, identifying potential issues in advance. This allows real-time monitoring during the actual procedure to focus on critical parameters only, reducing processing time while maintaining safety through pre-identified risk mitigation strategies.
Solution Approach 2:
The evaluation system implements prioritized processing that skips or reduces evaluation of low-risk navigation parameters while intensively monitoring critical safety parameters in real-time. This selective approach maintains operation safety by focusing computational resources on essential metrics, reducing overall data processing time without compromising safety monitoring.
Data Source
AI summary
A method for planning a remote-controlled navigation of medical objects in a hollow organ of a patient. The navigation is performable by robot or in a robot-supported manner using a robot system, and is visually monitored by an imaging system. The robot system includes a drive system, a robot control unit, and at least one input unit arranged at a distance from the robot control unit. At least one data transmission link is present. The method includes supplying data for a planned navigation procedure of an object through a hollow organ with at least one navigation step, evaluating, by an evaluation system, the supplied data in terms of a performability level of the navigation procedure. The evaluation is carried out based on a comparison with empirical data and/or based on a theoretical model, and/or using a learning-based algorithm. The method includes outputting an evaluation result to an output unit.