Automated Manual Procedure Training With Haptic Tool Feedback
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Solution Overview
Problem
Traditional medical training systems, such as those for Central Venous Catheterization (CVC), are static and fail to simulate the variability of human anatomy, limiting practitioners' experience in real-world scenarios and lacking automated feedback.
Innovation Solution
An automated training system utilizing image recognition, dynamic haptic feedback, and position tracking to simulate realistic medical procedures, allowing for varied anatomical simulations and providing real-time feedback.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If traditional static CVC training manikins are used, then practitioners can practice needle insertion procedures, but the training system cannot simulate the variability of human anatomy
Solution Approach 1:
The patent applies dynamics by replacing static manikin anatomy with dynamic, deformable tissue models that can change shape and properties during insertion procedures. The tissue models include layered structures with varying mechanical properties that simulate different anatomical conditions, allowing the training system to adapt to various procedural scenarios while maintaining structural integrity through controlled deformation.
2Extent of automation
If traditional CVC training systems are used, then practitioners can perform practice trials, but automated feedback is not provided
Solution Approach 1:
The patent implements feedback through sensors embedded in the tissue models and training devices that detect insertion depth, angle, and tissue deformation. This data is processed to provide real-time automated feedback to practitioners about their technique, including haptic feedback through the syringe device and visual feedback through displays, enabling self-correcting learning without requiring complex instructor intervention.
Solution Approach 2:
The patent replaces manual evaluation mechanisms with automated sensing and feedback systems. Sensors substitute for instructor observation, and automated feedback delivery systems replace manual instruction, reducing the complexity of human-in-the-loop evaluation while providing more consistent and measurable training data.
3Reliability
If real patient procedures are used for training, then practitioners gain real-world experience, but actual patient risks are incurred
Solution Approach 1:
The patent creates realistic copies of human tissue anatomy through multi-layered tissue models that replicate the mechanical properties, deformation characteristics, and structural organization of real human tissue. These photorealistic and mechanically accurate models provide authentic training experiences without requiring actual patient procedures, as they capture the essential physical behaviors of real anatomy.
Data Source
AI summary
Systems and methods for providing automated training. An automated training system includes hardware for receiving images from an imaging device arranged such that a field of view of the imaging device includes a tray supporting tools and a training surface having a simulated subcutaneous area, determining a location, a position, and an identification of the tools supported on the tray, receiving an input from a position tracking system that corresponds to insertion characteristics of a tool into the training surface, determining, based on the insertion characteristics and the images of the training surface, a positioning and an orientation of at least a portion of the tool within the simulated subcutaneous area, and provide feedback regarding the positioning and orientation of the tool.